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Green Finance, Institutional Quality, and Environmental Sustainability: Dynamic and Causal Evidence from the Middle East

This study utilizes advanced panel estimators and a quasi-natural experiment across 14 Middle Eastern countries to demonstrate that green finance significantly enhances environmental sustainability, but its effectiveness is critically dependent on strong institutional quality and policy frameworks.

Original authors: Santosh Prasad Sah

Published 2026-07-14
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Original authors: Santosh Prasad Sah

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Technical Summary: Green Finance, Institutional Quality, and Environmental Sustainability in the Middle East

Problem Statement and Research Gap
This study addresses the complex, often contradictory relationship between financial development and environmental sustainability, particularly within resource-dependent economies in the Middle East. While existing literature suggests green finance can drive low-carbon transitions, empirical results remain mixed, with some studies indicating that financial expansion initially exacerbates environmental degradation through scale effects. Furthermore, prior research has frequently treated financial and institutional factors in isolation, failing to account for the conditional nature of green finance's effectiveness. The paper identifies a critical void in the literature regarding the dynamic interaction between green finance, institutional quality, and policy effectiveness in the Middle East, a region characterized by high fossil fuel dependence, institutional heterogeneity, and increasing sustainability pressures.

Methodology and Data
The study utilizes a panel dataset covering 14 Middle Eastern countries (Bahrain, Cyprus, Egypt, Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Turkiye, and the UAE) over the period 2000–2022. The analysis employs a comprehensive suite of second-generation panel econometric techniques designed to address cross-sectional dependence, slope heterogeneity, and endogeneity:

  • Diagnostic Tests: The study first validates the data using Cross-Sectional Dependence (CD) tests (Pesaran, 2004), Slope Heterogeneity tests (Pesaran & Yamagata, 2008), and the Cross-Sectionally Augmented IPS (CIPS) unit root test (Pesaran, 2007) to confirm the integration order of variables.
  • Baseline and Robust Estimators: To determine long-run and short-run dynamics, the study applies the Common Correlated Effects Mean Group (CCEMG) and Augmented Mean Group (AMG) estimators to control for unobserved common factors. The Cross-Sectionally Autoregressive Distributed Lag (CS-ARDL) model is used to estimate short-run adjustments and long-run equilibrium relationships.
  • Dynamic and Causal Inference: The System Generalized Method of Moments (System GMM) is employed to address endogeneity and reverse causality, specifically examining the lagged effects of green finance. Additionally, a Difference-in-Differences (DiD) framework, utilizing Jordan's 2012 Renewable Energy and Energy Efficiency Law as a quasi-natural experiment, is used to isolate causal policy impacts. Event-study analyses accompany the DiD to verify parallel trends and dynamic treatment effects.
  • Variables: The dependent variable is Environmental Sustainability (proxied by CO₂ emissions per capita and intensity). Key independent variables include Green Finance (GDP per unit of energy consumption), Institutional Capacity (Rule of Law), Governance Quality (Regulatory Quality), and Policy Effectiveness (Government Effectiveness). Control variables include FDI, economic growth, urbanization, inflation, and renewable energy consumption.

Key Contributions
The paper makes three primary contributions to the literature:

  1. Integrated Analytical Framework: It moves beyond single-factor approaches by integrating green finance with governance quality, policy effectiveness, and institutional capacity within a unified dynamic framework. It explicitly models the conditional and moderating mechanisms through which institutions influence the finance-environment nexus.
  2. Methodological Rigor: The study applies a battery of advanced second-generation panel estimators (CCEMG, CS-ARDL, AMG, System GMM) specifically suited for the Middle Eastern context, addressing cross-sectional dependence and heterogeneity often overlooked in previous regional studies.
  3. Causal Policy Evaluation: By employing a DiD approach with Jordan's Renewable Energy Law as a policy shock, the study provides causal evidence on the temporal dynamics of renewable energy policies, distinguishing between immediate adjustment costs and long-term environmental gains.

Empirical Results

  • Green Finance and Sustainability: The relationship between green finance and environmental sustainability is found to be conditional and dynamic. While short-run results (CS-ARDL) and some baseline estimators show negative coefficients (indicating a temporary increase in emissions or adjustment costs), the long-run and dynamic analyses (System GMM) reveal that green finance has a significant positive impact on sustainability over time. The effects are delayed, with System GMM results indicating that the environmental benefits of green financial investments materialize through lagged transmission channels.
  • The Role of Institutions: Institutional quality and governance are identified as critical moderators. The effectiveness of green finance is significantly enhanced in countries with higher institutional capacity and better governance. The interaction term between green finance and institutional capacity is positive and significant, confirming that strong institutions are necessary to translate financial flows into environmental improvements.
  • Policy Effectiveness: The DiD and event-study results regarding Jordan's 2012 law demonstrate that while the policy initially incurred adjustment costs (negative short-term impact), its effect on environmental sustainability became increasingly positive and significant over time, peaking around 2020. This validates the parallel trends assumption and suggests that renewable energy policies yield substantial long-term gains.
  • Other Determinants: Economic growth consistently shows a positive influence on environmental outcomes in the long run, suggesting that diversification and cleaner technologies can decouple growth from degradation. Foreign Direct Investment (FDI) yields mixed results, supporting both the "pollution haven" and "pollution halo" hypotheses depending on the regulatory context.

Significance and Claims
The paper claims that the environmental benefits of green finance are not automatic but are institutionally embedded and policy-dependent. It argues that in resource-dependent Middle Eastern economies, financial development alone is insufficient to achieve sustainability transitions. Instead, the study posits that improving governance quality, institutional capacity, and policy credibility is a prerequisite for green finance to effectively reduce carbon emissions and promote sustainable development. The findings suggest that while the transition to a green economy may involve short-term adjustment costs, the long-term trajectory, supported by robust institutions and targeted policies like Jordan's Renewable Energy Law, leads to significant environmental improvements. The study concludes that a unified approach combining financial instruments with strong institutional frameworks is essential for accelerating sustainability transitions in the region.

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