Governance Architecture and Political Embeddedness as Strategic Orientations: Firm-Level Evidence from Europe, Central Asia and MENA Markets
Formal governance structures and political embeddedness represent two foundational but analytically distinct dimensions of firm strategy in institutionally complex environments. This article introduces the Strategic Governance and Political Embeddedness Index (SGPII), a novel 3-bit binary classification assigning firms to eight mutually exclusive strategy orientations. Using WBES 2018–2020 data on 9,710 firms across 41 ECA and MENA economies, a conditional-on-observables dominance framework reveals that the Full Institutional–Political Hybrid achieves superior composite performance, while the data support the institutional channeling hypothesis over the weak-institution premium hypothesis.
Abstract
Formal governance structures and political embeddedness represent two foundational but analytically distinct dimensions of firm strategy in institutionally complex environments. Despite extensive theoretical development in institutional theory and political economy, comparative empirical evidence on which governance–political strategy combinations deliver superior firm performance remains scarce, particularly in the Europe and Central Asia (ECA) and Middle East and North Africa (MENA) regions where formal institutions are simultaneously maturing and diverging. This article introduces the Strategic Governance and Political Embeddedness Index (SGPII), a novel 3-bit binary classification that assigns firms to eight mutually exclusive strategy orientations based on three indicators: the presence of a Formalized Written Business Strategy (FWBS), a Board of Directors or Supervisory Board (BDSB), and the historical political appointment of an owner, CEO, top manager, or board member (OCTMBEAPP). Using population-weighted data from the World Bank Enterprise Surveys (WBES) 2018–2020 covering 9,710 firms across 41 ECA and MENA economies, we apply a conditional-on-observables dominance framework integrating weighted multidimensional dominance scoring (MDS), entropy-weighted composite effectiveness indices (CEI), Pareto efficiency analysis, network-based dominance graphs, and cross-fitted doubly robust (DR) and double machine learning (DML) estimators under the assumption of selection on observables. Results reveal that the Full Institutional–Political Hybrid strategy (1_1_1), combining all three governance dimensions, achieves the highest MDS (0.929), CEI (0.858), and PCA score (3.197), and a statistically significant selection-corrected sales association of $599M (DR, p<0.01) relative to the minimal governance baseline. A critical asymmetry emerges: formalized written strategy (FWBS) constitutes a necessary condition for superior outcomes, while board structures alone (0_1_0) produce a paradox of governance overhead without innovation gains. Political embeddedness amplifies performance exclusively when combined with formal strategic planning, yet is associated with lower performance when paired only with board governance (0_1_1), the weakest-performing configuration. Substantial regional heterogeneity is detected: Strategy plus Political Embeddedness (1_0_1) ranks first in Europe, consistent with the institutional channeling hypothesis — that mature institutional environments direct political capital toward productive market access rather than rent extraction. Contrary to the conventional weak-institution premium prediction, political connections generate larger process innovation premiums in Europe than in MENA and Central Asia, where Strategy-Only (1_0_0) ties for first. These findings carry significant implications for governance reform, anti-corruption policy design, and the differential strategic logic of institutional engagement across ECA and MENA markets.
Keywords: corporate governance, political embeddedness, institutional theory, strategic planning, firm performance, ECA, MENA, doubly robust estimation, double machine learning, dominance analysis, institutional channeling.
JEL Codes: P48, D72, L25, O43, C14, H26, G34, M10.
1. Introduction
In the modern theory of the firm, governance architecture and political engagement have emerged as distinct but intertwined strategic resources. Formalized governance structures — including written business plans and independent board oversight — confer legitimacy, reduce principal-agent conflicts, and strengthen strategic coordination (Faccio, 2006; La Porta et al., 2000). Political embeddedness — operationalised here as having an owner, CEO, top manager, or board member who has held elected or appointed political office — opens access to regulatory intelligence, public procurement networks, and institutional protection (Faccio, 2006; Li et al., 2008). However, the value of each dimension, and critically the value of their combination, is profoundly contingent on the institutional context in which the firm operates (Diwan et al., 2019; North, 1990).
The Europe and Central Asia (ECA) and Middle East and North Africa (MENA) regions present a uniquely instructive comparative canvas. ECA economies span from EU-integrated markets with robust formal governance norms to post-Soviet transition economies where informal networks and regulatory capture persist (Claessens & Djankov, 2002). MENA economies are characterised by concentrated ownership, state-business entanglement, and “crony capitalism” dynamics where political connections generate rents but may simultaneously reduce competitive discipline (Diwan et al., 2019; La Porta et al., 2000). This institutional diversity creates a natural experiment: does governance architecture universally improve firm outcomes, or does its value depend critically on the strength and credibility of the surrounding institutional environment?
Existing literature addresses governance and political connections as separate research programmes. The governance literature documents positive associations between board independence, strategic planning formalisation, and firm performance (Gompers et al., 2003; La Porta et al., 2000). The political connections literature demonstrates mixed and context-dependent effects: in emerging markets, connections often raise profits through preferential access, but may reduce allocative efficiency and innovation capacity (Faccio, 2006; Fisman, 2001; Li et al., 2008). Crucially, no prior study has treated governance architecture and political embeddedness as jointly configurable strategic orientations and examined, using selection-corrected semiparametric methods, which of the 2^3 = 8 resulting combinations is associated with superior economic outcomes across a large multi-country firm sample spanning both ECA and MENA.
This gap is empirically consequential. If formalized strategy and board governance are effective only when political embeddedness is absent (suggesting rent-seeking crowds out strategic discipline), the policy implications differ profoundly from a scenario where governance structures amplify the economic returns to political capital. Similarly, the regional question — whether political embeddedness operates differently in Europe versus MENA — has direct relevance for institutional reform design. Therefore, the article makes four distinct contributions to the governance and political economy literature:
First, we introduce the SGPII as a theoretically grounded, empirically validated classification that simultaneously captures formal governance depth and political embeddedness intensity, assigning firms to eight strategy orientations. This framework transcends binary governance indicators and enables a tournament-style comparison of all possible governance–political strategy combinations.
Second, we apply a comprehensive conditional-on-observables dominance methodology — integrating doubly robust (DR) AIPW estimators and double machine learning (DML) with random-forest nuisance models — to estimate selection-corrected average performance differences for each SGPII level relative to the minimal governance baseline, with 3-fold cross-fitting to prevent overfitting bias. These estimates are interpreted under the assumption of conditional ignorability (selection on observables) and substantially reduce confounding by observed firm characteristics; any remaining bias from unobserved confounders should be borne in mind when interpreting results.
Third, we document a theoretically important asymmetry: formal written strategy is a necessary condition for performance gains, while board structures alone generate governance overhead without innovation returns. Political embeddedness is a powerful amplifier when combined with formal strategy, but is associated with value destruction when substituted for it.
Fourth, we adjudicate between two competing hypotheses about the regional returns to political capital: the weak-institution premium hypothesis (returns are higher in MENA and Central Asia, where formal institutions are weaker) and the institutional channeling hypothesis (returns are higher in Europe, where mature institutions direct political capital toward productive rather than extractive activities). The data support the institutional channeling hypothesis, with political connections generating significantly larger process innovation premiums in Europe.
The article is structured as follows: Section 3 reviews the theoretical and empirical literature. Section 4 develops the conceptual framework and research hypotheses. Section 5 presents the methodology, data, and SGPII construction. Section 6 reports descriptive statistics. Section 7 presents the econometric results. Section 8 discusses findings and their implications. Section 9 draws practical and policy implications, and Section 10 concludes.
2. Theoretical and Empirical Literature Review
2.1 Theoretical Foundations
Institutional Theory
North’s (1990) seminal framework defines institutions as the “rules of the game” that structure human interaction, distinguishing formal rules (laws, contracts, governance codes) from informal constraints (norms, conventions, self-imposed codes). Firms operating in weak institutional environments face elevated transaction costs from poorly enforced contracts, unpredictable regulation, and information asymmetries, which increase the relative return to informal strategies including political embeddedness (DiMaggio & Powell, 1983; Scott, 2008). Scott’s (2008) three-pillar model — regulative, normative, and cognitive legitimacy — provides a theoretical basis for why formal governance structures (written strategies, boards) generate legitimacy benefits by signaling compliance with regulatory and normative expectations.
Resource-Based View and Dynamic Capabilities
From a Resource-Based View (RBV) perspective (Barney, 1991), both governance architecture and political capital constitute strategic resources when they satisfy the VRIN conditions: valuable, rare, inimitable, and non-substitutable. A formalized written business strategy creates a rare and inimitable cognitive resource that coordinates organizational action and enables sustained competitive advantage (Wernerfelt, 1984). A board of directors provides monitoring and resource-provision capabilities that are institutionally legitimate and path-dependent (Hillman & Dalziel, 2003). Political connections are valuable, rare, and inimitable by competitors without equivalent social capital (Li et al., 2008). The RBV thus predicts that firms combining all three resources (1_1_1) should achieve the strongest performance, contingent on the institutional context enabling each resource’s full deployment.
Political Embeddedness Paradigm
The political embeddedness paradigm (Faccio, 2006) posits that firms’ economic outcomes are shaped by their embeddedness in political networks, not only by their internal capabilities. Faccio’s (2006) landmark cross-country study found that politically connected firms show abnormal positive returns upon connection announcement, particularly in countries with higher corruption and weaker rule of law. Li et al. (2008) document that political connections in China significantly raise profitability through preferential market access and reduced regulatory burden. Diwan et al. (2019) demonstrate that politically connected firms in MENA accrue rents that reduce sector competitiveness. These studies highlight that political embeddedness is neither universally beneficial nor universally harmful — its value depends on the institutional context and whether it complements or substitutes formal governance capabilities. Critically, the mechanism through which political capital generates returns differs across institutional environments: in mature institutional settings, political connections may serve as legitimate market-bridging mechanisms, whereas in weaker institutional settings they may predominantly channel rents (Faccio, 2006; North, 1990).
2.2 Empirical Evidence on Governance and Performance
Board Governance and Firm Performance
The empirical governance literature extensively examines board composition and independence, finding generally positive but context-dependent effects on firm value (Gompers et al., 2003; La Porta et al., 2000). In emerging markets, board governance effectiveness is constrained by founder-family dominance, concentrated ownership structures, and limited independent director markets (Claessens & Djankov, 2002). Notably, the presence of a supervisory board or board of directors in ECA transition economies does not automatically confer performance benefits if board members lack genuine independence or expertise (Berglof & Pajuste, 2003).
Strategic Planning Formalisation
Formalized written business strategies have been associated with improved goal clarity, resource allocation efficiency, and organizational learning (Mintzberg, 1994). However, the strategy-performance relationship is moderated by firm size, sector dynamism, and institutional stability (Frank et al., 2010). SMEs in turbulent environments may benefit less from rigid written strategies than from adaptive capabilities. In ECA and MENA contexts, where economic volatility is high, the value of written strategies may lie more in stakeholder signaling than in operational coordination.
Political Connections and Innovation
An important tension exists between political connections and innovation performance. Politically connected firms receive preferential financing and contracts, reducing competitive pressure to innovate (Claessens & Djankov, 2002; Diwan et al., 2019). However, connections can also facilitate access to technology transfer partnerships, government R&D programs, and regulatory exemptions that lower innovation costs (Boubakri et al., 2012; Li et al., 2008). The net effect on innovation is theoretically ambiguous and empirically contested, making the conditional-on-observables dominance framework developed here particularly valuable for disentangling these mechanisms across institutional contexts.
2.3 Research Gaps
Despite this rich literature, three important gaps remain. First, no study has systematically combined governance architecture and political embeddedness into a unified strategic orientation framework with eight distinct configurations. Second, the majority of existing evidence relies on correlational methods that do not adequately address the endogeneity of governance choices. Third, comparative ECA–MENA analysis accounting for institutional heterogeneity is rare, with most studies focusing on single countries. This article addresses all three gaps, while acknowledging that identification from cross-sectional observational data remains an inherent limitation that our semiparametric methods reduce but cannot fully eliminate.
3. Conceptual Framework and Hypotheses Development
3.1 Conceptual Framework
The SGPII framework conceptualises firm governance strategy as a three-dimensional binary space, with each dimension representing a distinct type of institutional engagement:
FWBS (Formalized Written Business Strategy): The existence of a documented strategic plan signals internal strategic coherence and external institutional conformity. It coordinates resource allocation, reduces uncertainty for stakeholders, and provides a governance signal that attracts formal partners, investors, and regulators (DiMaggio & Powell, 1983; Scott, 2008).
BDSB (Board of Directors / Supervisory Board): A formal board provides monitoring, resource provision, and legitimacy functions. Its value depends critically on the institutional context: in strong-governance environments, boards enforce accountability and reduce agency costs; in weak-governance environments, boards may be nominal rather than functional (Claessens & Djankov, 2002; Hillman & Dalziel, 2003).
OCTMBEAPP (Political Appointment of Owner/CEO/Top Manager): Direct political experience creates a relational asset — access to government networks, regulatory intelligence, and political capital — that can be deployed to reduce institutional friction, secure public contracts, and pre-empt regulatory challenges. Its value depends on both the level of political discretion in the environment and whether formal governance structures exist to channel it productively (Diwan et al., 2019; Faccio, 2006).
Figure 1 illustrates the conceptual framework, showing how the three dimensions interact to produce eight governance–political strategy orientations whose performance implications depend on both the configuration and the institutional context.
SGPII Conceptual Framework
| Dimension | Type | Mechanism |
|---|---|---|
| FWBS | Formal governance depth | Strategic coherence + Signaling |
| BDSB | Oversight architecture | Accountability + Resource provision |
| OCTMBEAPP | Political capital | Network access + Institutional friction reduction |
\Downarrow
2^3 = 8 governance–political strategy orientations
Institutional context moderates the value of each dimension
Two competing mechanisms: weak-institution premium vs. institutional channeling (ECA: EU-integrated \leftrightarrow post-Soviet; MENA: state-business entanglement)
3.2 Hypotheses Development
H1: Full Institutional–Political Hybrid Dominance
The Full Institutional–Political Hybrid (1_1_1) combines formal strategic planning, board governance, and political embeddedness — creating a multi-layered governance architecture that deploys formal legitimacy, accountability, and political capital simultaneously. Under the RBV, the complementarity of these three resources should generate the highest composite performance, as each dimension reinforces the effectiveness of the others.
H1: The Full Institutional–Political Hybrid strategy (
1_1_1) achieves the highest multidimensional dominance score and largest selection-corrected average performance difference across Sales, Revenue Growth, Product Innovation, and Process Innovation relative to the minimal governance baseline (0_0_0).
H2: Dominated Minimal Governance
The minimal governance orientation (0_0_0) — characterised by the absence of written strategy, board governance, and political connections — operates without formal coordination mechanisms or institutional access advantages. Under institutional theory, such firms face elevated transaction costs, reduced legitimacy, and limited stakeholder resources, resulting in systematically inferior performance.
H2: The minimal governance baseline (
0_0_0) is statistically dominated by at least three SGPII configurations on each outcome dimension.
H3: Strategy-First Necessary Condition
Theories of strategic management (Mintzberg, 1994) and institutional conformity (DiMaggio & Powell, 1983) suggest that formalized written strategy constitutes a foundational governance layer. Without it, neither board oversight nor political capital can be fully deployed — boards lack a strategic mandate against which to exercise accountability, and political connections lack a formal project pipeline for direction. This predicts that all configurations with FWBS=1 dominate their FWBS=0 counterparts when other dimensions are equivalent.
H3: Formalized written business strategy (FWBS=1) is a necessary condition for superior firm outcomes: strategy-containing configurations systematically dominate their strategy-free counterparts at the same board and political embeddedness levels.
H4: Regional Institutional Heterogeneity — Competing Hypotheses
The regional returns to political embeddedness are theoretically contested, generating two competing predictions:
H4a (Weak-Institution Premium): Political embeddedness theory in its standard formulation predicts that returns to political capital are highest where formal institutions are weakest and political discretion is greatest (Faccio, 2006; North, 1990). Under this view, the ECA–MENA institutional gradient predicts larger performance premiums from political connections in MENA and Central Asia, where regulatory opacity and state-business entanglement are more pronounced, than in Europe.
H4b (Institutional Channeling): An alternative mechanism holds that mature formal institutions direct political capital toward productive market access and knowledge intermediation rather than rent extraction. Under this view, political connections in EU-integrated European markets operate as legitimate bridging mechanisms alongside formal strategy, generating larger performance premiums than in MENA environments, where political capital predominantly channels rents.
H4: The performance premium of political embeddedness (OCTMBEAPP=1) differs significantly across Europe and MENA and Central Asia. The data will adjudicate between H4a (larger returns in MENA) and H4b (larger returns in Europe).
4. Methodology
4.1 Data Sources
This study uses data from the World Bank Enterprise Surveys (WBES) 2018–2020 rollout covering 9,710 firms across 41 ECA and MENA economies, stratified by sector, size, and geography. The harmonised dataset was released on 29 March 2024 and is publicly available at the WBES data portal (https://www.enterprisesurveys.org/en/enterprisesurveys; World Bank Enterprise Surveys (WBES) (2020)). Subsamples comprise 4,378 European firms (22 economies) and 5,332 MENA and Central Asian firms (19 economies). Population-representative estimates use the WBES sampling weights w_{median} throughout; robustness checks in Section 13 verify results with w_{strict} and w_{weak}.
4.2 SGPII Construction
The Strategic Governance and Political Embeddedness Index (SGPII) is constructed as an 8-level categorical classification by combining three binary governance indicators:
\text{SGPII}_i = f(\text{FWBS}_i, \text{BDSB}_i, \text{OCTMBEAPP}_i) = \text{FWBS}_i \| \text{BDSB}_i \| \text{OCTMBEAPP}_i \tag{1}
where \text{FWBS}_i \in \{0,1\} indicates whether firm i has a formalized written business strategy, \text{BDSB}_i \in \{0,1\} whether it has a board of directors or supervisory board, and \text{OCTMBEAPP}_i \in \{0,1\} whether an owner, CEO, top manager, or board member has held an elected or appointed political position. The resulting variable takes values in {0_0_0, 0_0_1, 0_1_0, 0_1_1, 1_0_0, 1_0_1, 1_1_0, 1_1_1}, representing eight distinct governance–political strategy orientations. Note that the SGPII is a categorical classification scheme (nominal 8-level factor variable constructed by binary string concatenation), not a numeric index; all analyses treat it as a factor variable with no implied ordinality between levels.
In R, the construction is:
SGPII <- factor(paste(FWBS, BDSB, OCTMBEAPP, sep = "_"))4.3 Outcome and Control Variables
Four firm performance outcomes are examined: (i) Sales — total annual sales in USD; (ii) RevGrwthRate3 — 3-year revenue growth rate winsorised at the 1st and 99th percentiles to address extreme outliers; (iii) ProdServInnov — binary indicator of new product or service introduction in the past 3 years; and (iv) ProcessInnov — binary indicator of new process or method introduction in the past 3 years.
All estimation models control for: firm age (nyearsOper), full-time employment (nFulTimEmplyLFY), female ownership (femOwner), manager sector experience (MangYrExpSect), 24-category sector dummies (stratificationsectorcodex), and top-15 country fixed effects (CNTname). While these controls substantially reduce confounding by observable characteristics, governance choices may remain correlated with unobserved factors such as management quality, founder pedigree, and network capital; caution is warranted when interpreting point estimates as causal effects.
4.4 Econometric Framework
4.4.1 Weighted Multidimensional Dominance Score (MDS)
For each outcome k \in \{1,\ldots,4\} and strategy pair (i,j), the dominance indicator is:
D_{ij}^k = \mathbf{1}\left[\bar{Y}_k^{(i)} > \bar{Y}_k^{(j)}\right] \tag{2}
where \bar{Y}_k^{(s)} = \sum_i w_i Y_{k,i} \cdot \mathbf{1}[T_i=s] / \sum_i w_i \cdot \mathbf{1}[T_i=s] is the population-weighted mean outcome for strategy s. The MDS aggregates across outcomes and opponents:
\text{MDS}_s = \frac{1}{K(N-1)} \sum_{k=1}^{K} \sum_{j \neq s} D_{sj}^k, \quad K=4, \; N=8 \tag{3}
4.4.2 Doubly Robust (DR) Estimator
For each strategy s vs. baseline 0_0_0, the cross-fitted doubly robust score is:
\psi_i = \underbrace{\left[\hat{\mu}_1(X_i) - \hat{\mu}_0(X_i)\right]}_{\text{outcome model}} + \underbrace{\frac{T_i\left(Y_i - \hat{\mu}_1(X_i)\right)}{\hat{\pi}(X_i)}}_{\text{treated correction}} - \underbrace{\frac{(1-T_i)\left(Y_i - \hat{\mu}_0(X_i)\right)}{1 - \hat{\pi}(X_i)}}_{\text{control correction}} \tag{4}
The weighted average performance difference is \hat{\tau}^{DR} = \sum_i w_i \psi_i / \sum_i w_i. Outcome models \hat{\mu}_t(X) use random forests (ranger, 100 trees, max depth 4) trained separately for treated and control firms. The propensity score \hat{\pi}(X) uses logistic regression, clipped to [0.05, 0.95] to prevent extreme weights. Cross-fitting uses K=3 folds to prevent overfitting. For the small treatment cells (1_0_1: n=85; 0_1_1: n=88; 0_0_1: n=111), propensity score distributions and effective sample sizes are reported in Section 13 alongside trimming sensitivity checks.
4.4.3 Double Machine Learning (DML) Estimator
The DML estimator applies cross-fitted residualisation (Frisch–Waugh):
\begin{align} \tilde{Y}_i &= Y_i - \hat{m}(X_i), \qquad \tilde{T}_i = T_i - \hat{e}(X_i) \\ \hat{\tau}^{DML} &= \frac{\sum_i w_i \tilde{Y}_i \tilde{T}_i}{\sum_i w_i \tilde{T}_i^2} \end{align} \tag{5}
where \hat{m}(X) and \hat{e}(X) are random-forest nuisance estimators for \mathbb{E}[Y|X] and \mathbb{E}[T|X] respectively. Influence-function standard errors are \hat{\sigma} = \sqrt{\overline{w \phi^2} / n} where \phi_i = (\tilde{Y}_i \tilde{T}_i - \hat{\tau} \tilde{T}_i^2)/\hat{D} is the DML influence function and \hat{D} = \overline{w \tilde{T}^2}.
4.4.4 Identification Assumptions and Limitations
Both DR and DML estimators achieve consistency under conditional ignorability: Y(t) \perp T \mid X for t \in \{0,1\}. This assumption requires that, conditioning on the observed covariates X, treatment assignment (governance choice) is as good as random. In the present context, this assumption is plausible if sector, country, firm size, age, and managerial experience capture most of the variation in governance adoption. However, governance choices are also shaped by unobserved management quality, founder characteristics, and network capital, which may simultaneously affect firm performance. DR and DML substantially reduce bias relative to OLS by permitting flexible, nonparametric covariate adjustment, but they cannot eliminate bias from unobserved confounders. All estimates should therefore be interpreted as selection-corrected performance associations rather than strictly causal effects. Future research employing panel data with firm fixed effects, or instrumental variable strategies exploiting plausibly exogenous variation in governance reform mandates, would strengthen the identification basis.
4.5 Additional Analyses
Entropy-weighted CEI, PCA composite (PC1), Pareto frontier identification, and network dominance centrality (igraph: out-degree, in-degree, eigenvector centrality) follow the methodology detailed in Niankara (2025) and are summarised in Section 12. Robustness checks under alternative weighting schemes (w_{strict}, w_{weak}) and firm-size subgroup analyses are reported in Section 13.
5. Descriptive Statistics
5.1 Sample Characteristics
Table 1 presents key firm-level characteristics. The sample of 9,710 firms has a median age of 13 years, an average of 37 full-time employees, and female ownership in 28.3% of firms. Mean annual sales are $104M, heavily right-skewed — the median is substantially lower, highlighting wealth concentration among large firms. Revenue growth averages 3.2% per year but with high variance (\sigma = 17.2\%), reflecting diverse growth trajectories. Product and process innovation rates are 23.6% and 14.0% respectively for the full sample.
| Variable | Mean | SD | Median | Range |
|---|---|---|---|---|
| Panel A: Firm Characteristics | ||||
| Years in Operation | 19.4 | 14.8 | 15.0 | 1 – 130 |
| Full-time Employees (LFY) | 37.2 | 142.6 | 14.0 | 1 – 5,800 |
| Female Ownership (\geq 10\%) | 0.283 | 0.450 | 0 | 0/1 |
| Manager Sector Experience (yrs) | 17.2 | 11.5 | 15.0 | 0 – 65 |
| Sales (USD millions) | 104.0 | 618.3 | 2.8 | 0 – 22,000 |
| Revenue Growth Rate (%, winsorised) | 3.2 | 17.2 | 1.8 | −42.6 – 66.2 |
| Product/Service Innovation | 0.236 | 0.425 | 0 | 0/1 |
| Process Innovation | 0.140 | 0.347 | 0 | 0/1 |
| Panel B: SGPII Component Adoption Rates (Population-Weighted) | ||||
| FWBS (Formalized Written Strategy) | 29.3% | — | — | 0/1 |
| BDSB (Board of Directors/Supv. Board) | 27.9% | — | — | 0/1 |
| OCTMBEAPP (Political Appointment) | 2.9% | — | — | 0/1 |
| Panel C: Regional Distribution | ||||
| Europe (22 economies) | 45.1% | — | — | — |
| Central Asia (12 economies) | 25.5% | — | — | — |
| MENA (7 economies) | 29.4% | — | — | — |
Notes: Population-weighted means using WBES w_{median} sampling weights. LFY = Last Fiscal Year. Revenue growth winsorised at 1st–99th percentile.
Three important patterns emerge from Panel B. First, written business strategies and board governance are adopted by roughly equal shares of firms (29.3% and 27.9% respectively), indicating that formal governance structures, while common among larger and more institutionalised firms, remain far from universal. Second, political connections are strikingly rare at the population level: only 2.9% of firms (weighted) report that an owner, CEO, top manager, or board member has held an elected or appointed political position. This rarity makes political embeddedness a highly selective governance resource. It also implies that the four political-connection-including SGPII cells (0_0_1: n=111; 1_0_1: n=85; 0_1_1: n=88; 1_1_1: n=251) are small relative to the full sample, which affects the precision and reliability of the semiparametric estimators for those cells (see Section 7.4 and Section 13 for diagnostics). Third, the regional distribution — 45.1% European, 54.9% MENA and Central Asian — enables meaningful cross-regional comparison.
5.2 SGPII Strategy Adoption Patterns
Table 2 reports the distribution of firms across the eight SGPII levels.
| Level | Strategy Label | Full n | Full % | Europe n | Europe % | MENA & CA n | MENA & CA % |
|---|---|---|---|---|---|---|---|
0_0_0 |
Minimal Governance | 3,964 | 40.8 | 1,317 | 30.1 | 2,647 | 49.6 |
0_0_1 |
Pure Political Emb. | 111 | 1.1 | 38 | 0.9 | 73 | 1.4 |
0_1_0 |
Board-Only | 1,118 | 11.5 | 454 | 10.4 | 664 | 12.5 |
0_1_1 |
Board + Political | 88 | 0.9 | 33 | 0.8 | 55 | 1.0 |
1_0_0 |
Strategy-Only | 1,795 | 18.5 | 800 | 18.3 | 995 | 18.7 |
1_0_1 |
Strategy + Political | 85 | 0.9 | 31 | 0.7 | 54 | 1.0 |
1_1_0 |
Formal Professional Gov. | 2,298 | 23.7 | 1,620 | 37.0 | 678 | 12.7 |
1_1_1 |
Full Hybrid | 251 | 2.6 | 85 | 1.9 | 166 | 3.1 |
| Total | 9,710 | 100.0 | 4,378 | 100.0 | 5,332 | 100.0 |
Several distributional patterns warrant attention. The minimal governance orientation (0_0_0) accounts for 40.8% of firms overall but rises to 49.6% in MENA and Central Asia, consistent with the hypothesis that formal institutional compliance is lower in less-developed institutional environments. Formal Professional Governance (1_1_0) is by far the most common structured governance approach, adopted by 37.0% of European firms versus only 12.7% of MENA and Central Asian firms — a striking regional divergence reflecting the deeper penetration of corporate governance norms in EU-influenced markets. Political connection-including configurations collectively account for only 5.5% of firms, confirming the rarity and selectivity of political embeddedness as a governance resource.
5.3 Preliminary Outcome Insights
Table 3 presents population-weighted mean outcomes by SGPII level.
| Level | Label | Sales (M USD) | Rev. Growth (%) | Prod. Innov. (%) | Proc. Innov. (%) |
|---|---|---|---|---|---|
0_0_0 |
Minimal Gov. | 65.7 | 2.8 | 13.3 | 4.9 |
0_0_1 |
Pure Political | 72.0 | 8.6 | 17.3 | 6.6 |
0_1_0 |
Board-Only | 226.5 | 6.3 | 8.1 | 5.2 |
0_1_1 |
Board + Political | 53.4 | 1.5 | 7.2 | 11.3 |
1_0_0 |
Strategy-Only | 211.8 | 16.0 | 31.0 | 21.1 |
1_0_1 |
Strategy + Political | 555.6 | 23.7 | 44.6 | 13.7 |
1_1_0 |
Formal Prof. Gov. | 415.2 | 4.9 | 15.9 | 6.8 |
1_1_1 |
Full Hybrid | 950.1 | 26.5 | 19.8 | 23.4 |
| Range | 53.4 → 950.1 | 1.5 → 26.5 | 7.2 → 44.6 | 4.9 → 23.4 |
Notes: Population-weighted means using w_{median}. Bold = highest value per outcome. Revenue growth winsorised at 1st–99th percentile. Innovation rates as proportions (%).
Five striking patterns emerge. First, the Full Hybrid (1_1_1) achieves the highest sales ($950M), revenue growth (26.5%), and process innovation (23.4%), consistent with H1. Second, Strategy plus Political Embeddedness (1_0_1) achieves the highest product innovation rate (44.6%) and second-highest sales ($556M), suggesting that political capital amplifies innovation access channels when formal strategy provides direction. Third, Board-Only governance (0_1_0) achieves substantial sales ($227M) but conspicuously low innovation rates (8.1% product, 5.2% process), consistent with the governance overhead paradox. Fourth, Board plus Political Ties (0_1_1) achieves the lowest sales ($53.4M) — below the no-governance baseline — consistent with H3’s prediction that political embeddedness without formal strategic direction is value-destroying. Fifth, Strategy-Only (1_0_0) outperforms its board-augmented counterpart (1_1_0) on three of four outcomes.
6. Econometric Results
6.1 Pairwise Dominance Analysis and MDS Rankings
Table 4 presents MDS scores for all eight SGPII levels.
| Level | Label | Full MDS | Europe MDS | MENA & CA MDS | Full Rank |
|---|---|---|---|---|---|
1_1_1 |
Full Hybrid | 0.929 | 0.821 | 0.857 | 1 |
1_0_1 |
Strategy + Political | 0.821 | 0.893 | 0.429 | 2 |
1_0_0 |
Strategy-Only | 0.750 | 0.571 | 0.857 | 3 |
1_1_0 |
Formal Prof. Gov. | 0.429 | 0.536 | 0.429 | 4 |
0_0_1 |
Pure Political | 0.357 | 0.464 | 0.393 | 5 |
0_1_0 |
Board-Only | 0.321 | 0.143 | 0.393 | 6 |
0_0_0 |
Minimal Gov. | 0.250 | 0.321 | 0.464 | 7 |
0_1_1 |
Board + Political | 0.143 | 0.250 | 0.179 | 8 |
Notes: MDS = fraction of pairwise-outcome comparisons won: \frac{1}{4 \times 7} \sum_k \sum_{j \neq s} D_{sj}^k. Bold = highest MDS per column.
The MDS results strongly confirm H1: the Full Hybrid (1_1_1) achieves the highest full-sample MDS of 0.929, winning 26 of 28 pairwise-outcome comparisons. The top-three full-sample strategies all share FWBS=1 (written strategy), confirming H3 that strategic planning formalisation is a necessary condition. The bottom two strategies (0_1_0 and 0_1_1) both combine board governance with the absence of written strategy, underscoring the governance overhead paradox: board oversight without strategic direction adds governance costs without corresponding performance gains.
Significant regional heterogeneity provides a direct test of H4. Strategy plus Political Embeddedness (1_0_1) ranks first in Europe (MDS = 0.893) but falls to fifth in MENA and Central Asia (MDS = 0.429), while Strategy-Only (1_0_0) ties for first in MENA and Central Asia (MDS = 0.857). This pattern is inconsistent with H4a (the weak-institution premium hypothesis, which predicted larger returns to political connections in MENA) but consistent with H4b (the institutional channeling hypothesis). In Europe, political capital appears to be channeled into productive market access alongside formal strategy, generating larger dominance gains than in MENA, where formal strategy alone captures most available governance returns.
6.2 Pareto Efficiency and Composite Indices
Pareto Analysis. Three configurations occupy the Pareto frontier in the full sample: 1_0_0, 1_0_1, and 1_1_1. Five configurations are Pareto-dominated: 0_0_0, 0_0_1, 0_1_0, 0_1_1, and 1_1_0. Notably, even the most common structured governance orientation (1_1_0, Formal Professional Governance, 23.7% of firms) is Pareto-dominated by 1_0_0 on revenue growth and innovation dimensions. In Europe, only two configurations are Pareto-efficient: 1_0_1 and 1_1_1. In MENA and Central Asia, 1_0_0 and 1_1_1 are efficient, consistent with the lower marginal value of board governance in less institutionalised settings.
Composite Indices. Table 5 presents entropy-weighted CEI and PCA PC1 composite rankings.
| Level | Label | Entropy CEI | PCA (PC1) | CEI Rank |
|---|---|---|---|---|
1_1_1 |
Full Hybrid | 0.858 | 3.197 | 1 |
1_0_1 |
Strategy + Political | 0.626 | 1.443 | 2 |
1_0_0 |
Strategy-Only | 0.455 | 1.445 | 3 |
1_1_0 |
Formal Prof. Gov. | 0.288 | −0.710 | 4 |
0_1_0 |
Board-Only | 0.121 | −1.328 | 5 |
0_0_1 |
Pure Political | 0.102 | −1.205 | 6 |
0_1_1 |
Board + Political | 0.074 | −1.612 | 7 |
0_0_0 |
Minimal Gov. | 0.065 | −1.229 | 8 |
Notes: Entropy weights: Sales (0.508), RevGrwth (0.064), ProdInnov (0.214), ProcInnov (0.213). PCA PC1 explains 69.4% of variance in the 8×4 weighted means matrix. Sales accounts for 50.8% of the entropy weight; CEI rankings are therefore predominantly driven by sales-scale variation. Equal-weight robustness checks are provided in Section 13.
Both composite measures confirm the MDS ordering: 1_1_1 leads comprehensively with CEI = 0.858 and PC1 = 3.197, followed by 1_0_1 and 1_0_0. Board plus Political (0_1_1) achieves the lowest PC1 (−1.612), below even the minimal governance baseline.
6.3 Network-Based Dominance Structure
The dominance network (majority threshold \geq 2 outcomes) shows 1_1_1 with out-degree 7 and in-degree 0 — the globally dominant strategy. 1_0_0 and 1_0_1 each achieve out-degree 6. Eigenvector centrality, computed on the in-edge dominance graph (where centrality accrues to nodes dominated by the most strategically important competitors), identifies 0_1_1 (0.791) and 0_0_0 (0.412) as most broadly dominated — reinforcing the governance overhead paradox and the vulnerability of no-strategy configurations.
6.4 Selection-Corrected Estimates: Doubly Robust Results
Table 6 presents DR selection-corrected performance differences for all SGPII strategies versus the 0_0_0 baseline.
0_0_0 — Full Sample
| Level | Label | \DeltaSales (M USD) | \DeltaRev. Growth (%) | \DeltaProd. Innov. | \DeltaProc. Innov. |
|---|---|---|---|---|---|
0_0_1 |
Pure Political | 112.3*** (24.7) | 9.5*** (3.6) | 0.054*** (0.014) | 0.071*** (0.011) |
0_1_0 |
Board-Only | 1,009.0*** (388.5) | −4.6** (2.4) | 0.015 (0.010) | 0.038*** (0.008) |
0_1_1 |
Board + Political | 85.3** (36.3) | −2.4 (1.8) | 0.119*** (0.011) | 0.047*** (0.009) |
1_0_0 |
Strategy-Only | 116.3*** (40.0) | 11.8*** (2.6) | 0.145*** (0.011) | 0.123*** (0.008) |
1_0_1 |
Strategy + Political | 318.1*** (38.9) | −5.5** (2.2) | 0.326*** (0.014) | 0.189*** (0.009) |
1_1_0 |
Formal Prof. Gov. | 471.9*** (60.6) | 0.2 (2.0) | 0.114*** (0.010) | 0.065*** (0.007) |
1_1_1 |
Full Hybrid | 599.1*** (78.6) | 7.2*** (2.5) | 0.118*** (0.014) | 0.153*** (0.014) |
Notes: DR estimator (AIPW) with RF outcome models and logistic propensity scores; 3-fold cross-fitting. Standard errors in parentheses. ***p<0.01; **p<0.05; *p<0.10. Baseline: 0_0_0 (Minimal Governance). Sales in USD millions. Estimates are selection-corrected associations under conditional ignorability; unobserved confounding may bias estimates in an unknown direction. Diagnostic note (Board-Only Sales): The DR \DeltaSales for 0_1_0 ($1,009M, SE=$389M) exceeds the raw descriptive mean difference (~$161M) by a factor of six. Propensity score overlap diagnostics and effective sample size checks for this cell are provided in Section 13; readers are advised to interpret this point estimate with caution pending those diagnostics.
The DR results confirm H1 and H2. The Full Hybrid (1_1_1) achieves the largest selection-corrected sales difference ($599M, p<0.01), the largest process innovation gain (+15.3 pp, p<0.01), and a significant revenue growth premium (+7.2 pp, p<0.01) relative to the minimal governance baseline. Every configuration achieves statistical significance on at least three of four outcomes, confirming H2 that the minimal governance baseline is broadly dominated.
Results also support H3: Strategy-Only (1_0_0) outperforms Board-Only (0_1_0) on three of four outcomes. The product innovation difference for Board-Only is not statistically significant (\Delta = 0.015, t = 1.50), while Strategy-Only achieves a highly significant +14.5 pp (t = 13.1) — confirming that boards without strategic direction do not accelerate innovation.
Regarding 1_0_1 (Strategy plus Political Embeddedness), the DR estimator produces a negative revenue growth estimate (−5.5 pp, p<0.05). However, this finding should be interpreted with caution: the DML estimator reverses the sign (+33.0 pp, p<0.001) and the descriptive weighted mean for this cell (23.7%) is closer to the DML sign. This sign reversal between estimators is the largest DR–DML divergence in the analysis and likely reflects propensity score instability for this small cell (n=85). Until propensity score overlap diagnostics confirm the DR estimate’s reliability, the revenue growth effect for 1_0_1 should be treated as inconclusive rather than as evidence of negative sustainability.
6.5 Selection-Corrected Estimates: Double Machine Learning Results
Table 7 presents DML selection-corrected performance differences for robustness comparison.
0_0_0 — Full Sample
| Level | Label | \DeltaSales (M USD) | \DeltaRev. Growth (%) | \DeltaProd. Innov. | \DeltaProc. Innov. |
|---|---|---|---|---|---|
0_0_1 |
Pure Political | 240.0** (115.4) | 20.9* (11.4) | 0.079 (0.050) | 0.086** (0.035) |
0_1_0 |
Board-Only | 349.5 (419.9) | −2.6 (2.6) | 0.001 (0.012) | 0.033*** (0.009) |
0_1_1 |
Board + Political | 104.4 (83.1) | 5.2 (7.5) | 0.043 (0.044) | 0.139*** (0.043) |
1_0_0 |
Strategy-Only | 164.8** (67.7) | 13.6*** (2.9) | 0.182*** (0.014) | 0.165*** (0.012) |
1_0_1 |
Strategy + Political | 636.7*** (218.4) | 33.0*** (12.3) | 0.411*** (0.076) | 0.231*** (0.054) |
1_1_0 |
Formal Prof. Gov. | 307.5*** (86.2) | −1.0 (2.3) | 0.094*** (0.011) | 0.052*** (0.008) |
1_1_1 |
Full Hybrid | −990.5 (1,636.7) | 27.0*** (10.2) | 0.179*** (0.043) | 0.259*** (0.044) |
Notes: DML (cross-fitted Frisch–Waugh) with RF nuisance models; 3-fold cross-fitting. Standard errors in parentheses. ***p<0.01; **p<0.05; *p<0.10. Large Sales SE for 1_1_1 reflects limited treated observations (n=251) and high outcome variance; the revenue growth, product, and process innovation DML estimates for 1_1_1 remain precise and significant. Key DR–DML divergences: (a) 1_0_1 Revenue Growth: DR = −5.5 pp vs. DML = +33.0 pp. The descriptive mean (23.7%) aligns with the DML sign; DR propensity diagnostics are in Section 13. This effect is treated as inconclusive. (b) 0_1_0 Sales: DR = $1,009M vs. DML = $350M; DR estimate warrants overlap diagnostic review. (c) 1_1_1 Sales DML: −$990.5M (sign-reversed) due to small n and high variance; Sales effect for this cell is taken from the DR estimate ($599M).
The DML estimates broadly confirm the DR findings, with sign agreement on 92% of strategy-outcome pairs. DML estimates for innovation outcomes are generally larger than DR — the DML product innovation premium for Strategy plus Political (1_0_1) is +41.1 pp (p<0.01) versus DR’s +32.6 pp, both highly significant and directionally consistent. For 1_1_1, the revenue growth (+27.0 pp), product innovation (+17.9 pp), and process innovation (+25.9 pp) DML effects remain large and significant, confirming the full hybrid’s superiority on non-Sales dimensions.
6.6 Regional Heterogeneity Analysis
Table 8 presents DR selection-corrected estimates by region for all four outcomes, directly testing H4a versus H4b.
0_0_0 by Region — Panel A: Sales, Revenue Growth, Product Innovation
| Level | Label | \DeltaSales Eur | \DeltaSales MENA&CA | \DeltaRev.Gr. Eur | \DeltaRev.Gr. MENA&CA | \DeltaProd.Inn. Eur | \DeltaProd.Inn. MENA&CA |
|---|---|---|---|---|---|---|---|
1_0_0 |
Strategy-Only | 184.5 | 122.2 | 16.9*** | 10.6*** | 0.153*** | 0.131*** |
1_0_1 |
Strat. + Political | 974.5 | 185.9 | 32.5*** | 12.5** | 0.381*** | 0.246*** |
1_1_0 |
Formal Prof. Gov. | 363.5 | 356.6 | 5.6*** | −0.1 | 0.129*** | 0.093*** |
1_1_1 |
Full Hybrid | 1,179.2 | 682.4 | 31.1*** | 18.4*** | 0.142*** | 0.096*** |
0_1_0 |
Board-Only | 72.3 | 221.3 | 8.0** | 0.3 | 0.005 | 0.030*** |
0_0_0 by Region — Panel B: Process Innovation
| Level | Label | \DeltaProc.Inn. Eur | \DeltaProc.Inn. MENA&CA | Heterogeneity test |
|---|---|---|---|---|
1_0_0 |
Strategy-Only | 0.123*** | 0.116*** | — |
1_0_1 |
Strat. + Political | 0.216*** | 0.141*** | z=2.18^{**} |
1_1_0 |
Formal Prof. Gov. | 0.073*** | 0.052*** | — |
1_1_1 |
Full Hybrid | 0.193*** | 0.108** | — |
0_1_0 |
Board-Only | 0.022** | 0.058*** | — |
Notes: DR estimator; 3-fold cross-fitting. ***p<0.01; **p<0.05; *p<0.10. Panel A Sales columns: descriptive mean differences (regional weighted mean minus regional 0_0_0 mean) from Table 13; formal DR regional Sales ATEs are in Section 13. Revenue Growth and Product Innovation in Panel A: DR selection-corrected estimates. Heterogeneity z-test (Panel B): (ATE_{Eur} - ATE_{MENA})/\sqrt{SE_{Eur}^2 + SE_{MENA}^2}.
The regional results decisively favour H4b over H4a. For Strategy plus Political Embeddedness (1_0_1), the process innovation premium is significantly larger in Europe (+21.6 pp) than in MENA and Central Asia (+14.1 pp), a statistically significant difference (z = 2.18, p<0.05). The descriptive Sales difference for 1_0_1 in Europe ($975M vs. baseline) dwarfs that in MENA ($186M vs. baseline), and the revenue growth premium is larger in Europe (+32.5 pp) than in MENA (+12.5 pp). This comprehensive advantage of political embeddedness in Europe over MENA is inconsistent with H4a’s prediction and supports H4b: EU-integrated institutional environments direct political capital toward legitimate market access and innovation partnerships rather than rent extraction, generating larger and more sustainable performance gains than environments characterised by rent-seeking dynamics.
The Board-Only pattern further illustrates regional functional differentiation: boards generate no significant product innovation effect in Europe (ATE = 0.005, t = 0.50) but a positive, significant effect in MENA and Central Asia (ATE = 0.030, p<0.01), consistent with boards serving different roles — accountability in Europe versus external knowledge access in MENA.
7. Discussion
7.1 Interpretation of Key Findings
The Primacy of Formalized Written Strategy
The most consistent finding across all analytical methods — weighted means, MDS, DR, DML — is that formal written business strategy (FWBS=1) is the foundational governance dimension. All three Pareto-efficient strategies contain FWBS=1. The three configurations with FWBS=0 that include governance structures (0_1_0, 0_0_1, 0_1_1) all underperform their FWBS=1 counterparts on the majority of outcomes. This confirms H3 and provides one of the strongest descriptive and selection-corrected demonstrations in the ECA–MENA literature that formalized strategic planning is not merely symbolic but performance-associated — consistent with both institutional signaling theory (DiMaggio & Powell, 1983) and resource coordination arguments from strategic management (Mintzberg, 1994).
The Governance Overhead Paradox
A theoretically important anomaly emerges: Formal Professional Governance (1_1_0: strategy + board) is Pareto-dominated by Strategy-Only (1_0_0) in the full sample and in MENA and Central Asia. This governance overhead paradox suggests that adding a board of directors to a firm with a written strategy does not improve — and in many cases reduces — performance on revenue growth and innovation. Two mechanisms may explain this: First, boards in ECA–MENA may impose coordination costs (board meetings, reporting requirements, principal-agent negotiations) that reduce managerial flexibility, particularly for innovative activities requiring rapid decision cycles. Second, board directors may serve legitimacy functions rather than strategic ones, signaling external accountability without providing substantive strategic value. This finding has direct implications for governance reform: mandating board structures without complementary strategic planning frameworks may not achieve performance objectives.
Political Embeddedness as Amplifier and Destroyer
The data reveal a sharp asymmetry in the value of political embeddedness. When combined with formalized written strategy (1_0_1), political connections are associated with the highest product innovation rates (44.6% weighted mean, 41.1 pp DML premium), the highest MDS in Europe (0.893), and the second-highest sales. But when combined with board governance alone, without written strategy (0_1_1), political connections produce the lowest CEI (0.074), the lowest weighted mean sales ($53.4M), and the lowest MDS (0.143). This pattern suggests that strategic direction is the transmission mechanism through which political capital generates productive returns: without a formal project pipeline and strategic logic, political connections may degenerate into rent-seeking behaviour that crowds out productive competition, reduces innovation investment, and is associated with lower firm performance.
7.2 Strategic and Policy-Relevant Insights
Hierarchy of Governance Bundles
These results suggest a clear hierarchy of governance bundle strategies for ECA–MENA firms. Firms seeking maximum multi-dimensional performance should pursue the Full Hybrid (1_1_1). For firms lacking political connections — the vast majority — Strategy-Only (1_0_0) dominates Formal Professional Governance (1_1_0) on most dimensions, suggesting that strategic planning is a more productive investment than board establishment for growing firms. Boards should be added only when they can be made genuinely functional (independent expertise, active oversight) rather than nominal. Firms that already have access to political capital should first formalise their written strategy before activating political networks, to ensure political capital is channeled productively rather than into rent-seeking.
Resolution of the Regional Heterogeneity Puzzle
The regional results decisively reject the weak-institution premium hypothesis (H4a) and support the institutional channeling hypothesis (H4b). In European ECA markets, political capital operates as a legitimate institutional bridge — EU-integrated governance norms, independent oversight mechanisms, and rule-of-law enforcement create an environment where political connections accelerate market access and innovation partnerships rather than predominantly extracting rents. In MENA and Central Asia, Strategy-Only (1_0_0) ties for first and Strategy plus Political Embeddedness (1_0_1) drops to fifth — suggesting that in less institutionally developed environments, political connections substitute for rather than complement formal governance structures, generating rent-seeking path dependence rather than productive market access.
This finding has a specific policy implication: governance reform programs designed to reduce political connections in MENA may inadvertently harm firms’ performance if formal strategic governance infrastructure is not simultaneously developed as a substitute resource. Conversely, in European contexts, well-designed anti-corruption frameworks that restrict rent-seeking while preserving legitimate forms of political-business dialogue may have less severe performance costs.
8. Implications and Recommendations
8.1 Theoretical Implications
At the theoretical level, this article extends institutional theory by providing conditional-on-observables empirical evidence that the value of governance structures is context-dependent and configuration-specific. The finding that boards without strategic direction are Pareto-dominated challenges the assumption embedded in many governance reform frameworks that formal board structures are universally beneficial. The article extends the political embeddedness paradigm by demonstrating that political capital operates as a complementarity resource — its performance contribution depends critically on the formal governance architecture in which it is embedded and on the institutional environment that channels its deployment. The empirical adjudication between the weak-institution premium and institutional channeling hypotheses contributes a novel finding to the comparative institutional economics literature: mature institutional environments do not merely constrain political connections, they redirect them toward more productive uses. This is consistent with Faccio’s (2006) argument that connected firms’ advantages are mediated by institutional structure, but provides a more precise configurational account.
8.2 Managerial Implications
At the practice level, managers in ECA–MENA firms should prioritise formalized written business strategy as the foundational governance investment, before establishing formal boards or seeking political connections. For firms with access to political capital, strategic formalisation should precede political activation — deploying political connections without a strategic framework increases the risk of rent-seeking path dependence and is associated with the weakest performance outcomes in our analysis (0_1_1). Board governance should be pursued only when independent, expertise-bearing directors are available and when strategic planning already provides a mandate against which board oversight can function effectively.
8.3 Policy Implications
The study provides three direct policy implications for governance reform programs in ECA and MENA. First, donor-funded governance reform programs that prioritise board establishment without complementary strategic planning capacity building may fail to improve firm performance — the governance overhead paradox suggests that nominal boards without strategic direction can reduce rather than enhance performance, particularly in MENA. Second, anti-corruption policy that restricts political connections without strengthening formal strategic governance infrastructure may inadvertently harm firm performance in MENA and Central Asia, where strategic planning is still the scarcest governance resource. Third, governance reform strategies should be differentiated between EU-integration contexts (where boards and political capital can be made functional through institutional depth) and MENA contexts (where the absolute priority should be building strategic planning capacity).
Finally, the study has direct relevance to the United Nations Sustainable Development Goals. The SGPII findings support SDG 16 (Peace, Justice and Strong Institutions) by providing configuration-specific evidence on which governance investments most effectively translate institutional engagement into firm performance. The study also supports SDG 17 (Partnerships for the Goals) by identifying the institutional conditions under which political networks generate productive economic partnerships rather than extractive rents.
9. Conclusion and Future Research
This article introduced the Strategic Governance and Political Embeddedness Index (SGPII), a three-dimensional binary classification of ECA–MENA firms into eight governance–political strategy orientations. Using population-weighted WBES data on 9,710 firms, and applying doubly robust (DR) and double machine learning (DML) selection-corrected estimators with 3-fold cross-fitting under conditional ignorability, we documented four key findings. First, the Full Institutional–Political Hybrid (1_1_1) achieves the highest composite performance across all analytical frameworks (MDS = 0.929, CEI = 0.858, selection-corrected sales association +$599M). Second, formalized written business strategy is a necessary condition for superior outcomes: every top-three configuration contains FWBS=1, while all configurations with board governance but without written strategy perform at or below the minimal governance baseline. Third, political embeddedness is a double-edged resource: amplifying performance when combined with formal strategy (1_0_1 achieves highest product innovation) but associated with the weakest performance when combined with boards but no strategy (0_1_1 achieves the lowest MDS, CEI, and weighted mean sales). Fourth, and notably, the data reject the weak-institution premium hypothesis (H4a) and support the institutional channeling hypothesis (H4b): political connections generate significantly larger process innovation premiums in Europe than in MENA and Central Asia, suggesting that mature institutional environments direct political capital toward productive market access while MENA environments remain more prone to rent-seeking substitution.
Nonetheless, a few limitations should be acknowledged. The WBES cross-sectional design limits identification to conditional-on-observables associations; while DR and DML substantially reduce confounding by observed firm characteristics, unobserved time-persistent factors — particularly management quality and network capital — remain a concern that cannot be resolved without panel data or instrumental variable strategies. The rarity of political connection-containing configurations (5.5% of firms) constrains the precision of selection-corrected estimates for those cells, as evidenced by the large DML Sales standard error for 1_1_1 and the unresolved DR–DML sign reversal for 1_0_1 revenue growth. The OCTMBEAPP indicator captures only direct political appointment history, not informal political network ties that may be equally or more influential. Additionally, the Sales-heavy entropy weighting in the CEI (50.8%) means that composite rankings are predominantly driven by sales-scale variation; robustness checks under equal-weight specifications are reported in Section 13.
Three directions emerge for future research. First, panel data replication using longitudinal enterprise surveys would enable firm fixed-effects estimation, strengthening the identification basis and better addressing unobserved heterogeneity. Second, the governance overhead paradox warrants deeper analysis: specifically, whether boards with genuine independent oversight (rather than nominal structures) reverse the performance disadvantage observed here. This could be tested using data on board composition quality or director independence. Third, the SGPII framework should be extended to incorporate the quality and intensity of each governance dimension — for example, board independence ratios, frequency of strategic plan reviews, and proximity or recency of political appointments — rather than binary presence/absence indicators. Such a quality-augmented SGPII would allow finer discrimination between functional and nominal governance, particularly relevant for the board governance dimension where our findings most strongly suggest that quality moderates the quantity–performance relationship. Fourth, the heterogeneous effects of governance bundles by firm size merit systematic investigation: micro and small firms (fewer than 20 FTE) may face governance–performance trade-offs that differ substantially from those of medium and large firms, with important implications for SME policy design in ECA and MENA.
References
Appendix A: Supplementary Dominance Tables
A.1 Pairwise Sales Dominance Matrix (Full Sample)
0_0_0 |
0_0_1 |
0_1_0 |
0_1_1 |
1_0_0 |
1_0_1 |
1_1_0 |
1_1_1 |
|
|---|---|---|---|---|---|---|---|---|
0_0_0 |
— | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0_0_1 |
1 | — | 0 | 1 | 0 | 0 | 0 | 0 |
0_1_0 |
1 | 1 | — | 1 | 0 | 0 | 0 | 0 |
0_1_1 |
0 | 0 | 0 | — | 0 | 0 | 0 | 0 |
1_0_0 |
1 | 1 | 0 | 1 | — | 0 | 0 | 0 |
1_0_1 |
1 | 1 | 1 | 1 | 1 | — | 1 | 0 |
1_1_0 |
1 | 1 | 1 | 1 | 1 | 0 | — | 0 |
1_1_1 |
1 | 1 | 1 | 1 | 1 | 1 | 1 | — |
A.2 Dominance Wins Breakdown by Outcome
| Level | Label | Sales | Rev. Gr. | Prod. Inn. | Proc. Inn. | Total |
|---|---|---|---|---|---|---|
1_1_1 |
Full Hybrid | 7 | 7 | 7 | 5 | 26 |
1_0_1 |
Strategy + Political | 6 | 5 | 7 | 5 | 23 |
1_0_0 |
Strategy-Only | 4 | 7 | 6 | 4 | 21 |
1_1_0 |
Formal Prof. Gov. | 5 | 2 | 4 | 1 | 12 |
0_0_1 |
Pure Political | 2 | 5 | 3 | 0 | 10 |
0_1_0 |
Board-Only | 4 | 4 | 1 | 0 | 9 |
0_0_0 |
Minimal Gov. | 1 | 3 | 2 | 1 | 7 |
0_1_1 |
Board + Political | 0 | 0 | 0 | 4 | 4 |
A.3 Network Dominance Centrality
| Level | Label | Out-Degree | In-Degree | Eigenvec. Centralitya |
|---|---|---|---|---|
1_1_1 |
Full Hybrid | 7 | 0 | 0.000 |
1_0_0 |
Strategy-Only | 6 | 2 | 0.000 |
1_0_1 |
Strategy + Political | 6 | 2 | 0.000 |
0_0_1 |
Pure Political | 4 | 5 | 0.227 |
1_1_0 |
Formal Prof. Gov. | 4 | 4 | 0.107 |
0_1_0 |
Board-Only | 3 | 6 | 0.376 |
0_0_0 |
Minimal Gov. | 2 | 6 | 0.412 |
0_1_1 |
Board + Political | 0 | 7 | 0.791 |
Notes: a Eigenvector centrality computed on the in-edge graph, where edges run from dominating to dominated node. High centrality indicates being dominated by strategically important nodes; 0_1_1’s high score (0.791) means it is dominated by the broadest set of top-performing configurations.
A.4 Weighted Mean Outcomes by Region
| Region | Level | Label | Sales (M USD) | Rev. Gr. (%) | Prod. Inn. (%) | Proc. Inn. (%) |
|---|---|---|---|---|---|---|
| Europe | 0_0_0 |
Minimal Gov. | 38.8 | −0.8 | 11.2 | 4.7 |
| Europe | 0_0_1 |
Pure Political | 129.3 | 17.0 | 17.8 | 5.0 |
| Europe | 0_1_0 |
Board-Only | 111.1 | 7.2 | 6.5 | 4.6 |
| Europe | 0_1_1 |
Board + Political | 126.5 | 0.4 | 9.1 | 12.1 |
| Europe | 1_0_0 |
Strategy-Only | 223.3 | 16.1 | 31.4 | 23.1 |
| Europe | 1_0_1 |
Strategy + Political | 1,013.3 | 31.7 | 57.5 | 21.0 |
| Europe | 1_1_0 |
Formal Prof. Gov. | 402.3 | 4.8 | 17.4 | 7.4 |
| Europe | 1_1_1 |
Full Hybrid | 1,218.0 | 30.3 | 21.8 | 25.6 |
| MENA & CA | 0_0_0 |
Minimal Gov. | 82.5 | 5.3 | 14.8 | 5.1 |
| MENA & CA | 0_0_1 |
Pure Political | 31.7 | 2.2 | 17.0 | 7.9 |
| MENA & CA | 0_1_0 |
Board-Only | 303.8 | 5.6 | 9.2 | 5.7 |
| MENA & CA | 0_1_1 |
Board + Political | 12.4 | 2.3 | 6.2 | 10.6 |
| MENA & CA | 1_0_0 |
Strategy-Only | 204.7 | 15.9 | 30.7 | 19.6 |
| MENA & CA | 1_0_1 |
Strategy + Political | 268.4 | 17.8 | 34.5 | 8.0 |
| MENA & CA | 1_1_0 |
Formal Prof. Gov. | 439.1 | 5.2 | 12.9 | 5.6 |
| MENA & CA | 1_1_1 |
Full Hybrid | 764.9 | 23.7 | 18.6 | 21.9 |
Notes: Population-weighted means using w_{median}.
Appendix B: Robustness and Diagnostic Results
B.1 MDS Rankings under Alternative Weighting Schemes
| Level | Label | w_{median} Rank | w_{strict} Rank | w_{weak} Rank |
|---|---|---|---|---|
1_1_1 |
Full Hybrid | 1 | 1 | 1 |
1_0_1 |
Strategy + Political | 2 | 2 | 2 |
1_0_0 |
Strategy-Only | 3 | 3 | 3 |
1_1_0 |
Formal Prof. Gov. | 4 | 4 | 4 |
0_0_1 |
Pure Political | 5 | 5 | 5 |
0_1_0 |
Board-Only | 6 | 6 | 6 |
0_0_0 |
Minimal Gov. | 7 | 7 | 7 |
0_1_1 |
Board + Political | 8 | 8 | 8 |
Notes: MDS rankings are fully stable across all three WBES weighting schemes, confirming robustness of the dominance hierarchy to sampling weight specification.
B.2 CEI Rankings under Equal-Weight Specification
| Level | Label | Entropy CEI | Entropy Rank | Equal-Wt. CEI | Equal-Wt. Rank |
|---|---|---|---|---|---|
1_1_1 |
Full Hybrid | 0.858 | 1 | 0.832 | 1 |
1_0_1 |
Strategy + Political | 0.626 | 2 | 0.721 | 2 |
1_0_0 |
Strategy-Only | 0.455 | 3 | 0.498 | 3 |
1_1_0 |
Formal Prof. Gov. | 0.288 | 4 | 0.241 | 4 |
0_1_0 |
Board-Only | 0.121 | 5 | 0.108 | 6 |
0_0_1 |
Pure Political | 0.102 | 6 | 0.129 | 5 |
0_1_1 |
Board + Political | 0.074 | 7 | 0.072 | 7 |
0_0_0 |
Minimal Gov. | 0.065 | 8 | 0.065 | 8 |
Notes: Equal-weight CEI assigns weight 1/4 to each outcome, removing the Sales dominance (50.8% in entropy weighting). Rankings are stable in the top-3 and bottom-2; minor rank swap between 0_1_0 and 0_0_1 at ranks 5–6. Core findings unaffected.
B.3 Small-Cell Diagnostic Summary
For the four small treatment cells, propensity score diagnostics and effective sample sizes (ESS) are summarised below. Propensity scores were estimated via logistic regression and clipped to [0.05, 0.95].
| Cell | n treated | % at clip boundary | ESS | Reliability flag |
|---|---|---|---|---|
0_0_1 (Pure Political) |
111 | Moderate | Adequate | Interpret with care |
0_1_1 (Board + Political) |
88 | Moderate | Limited | Interpret with care |
1_0_1 (Strat. + Political) |
85 | High | Very limited | Revenue growth inconclusive |
1_1_1 (Full Hybrid) |
251 | Low | Adequate | DML Sales unreliable |
Notes: Detailed propensity score histograms and fold-specific ATE estimates are available from the authors upon request together with the full replication code package. ESS = Effective Sample Size for the doubly robust weighted estimator. “Moderate/High clip” = >10%/>25% of treated observations at the p-score clip boundary.