Sustainability catalysts and green growth: Triangulating evidence from EU countries using panel data, MMQR, and CCEMG

IF 12.2
Green Technologies and Sustainability Pub Date : 2026-04-01 Epub Date: 2025-11-04 DOI:10.1016/j.grets.2025.100305
Md. Rashed , Yasmin Jamadar , Mohammad Shahadat Hossen , Mohammad Fakhrul Islam , Oli Ahad Thakur , Md. Kamal Uddin
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Abstract

Green Growth Strategies (GGS) are a win–win opportunity for not only the nation’s economy but also the environment. However, many countries are not concerned about reaping these benefits, and they continue to harm the environment for short-term gain, neglecting long-term sustainability. Southern European countries can utilize green growth policies to enhance their competitiveness, bypass older, more polluting technologies by directly adopting cleaner alternatives, and achieve economic and environmental progress. To address this concern, we analyzed 12 Southern European countries from 2010 to 2019, investigating how they can enhance their green growth performance by incorporating critical predictors. We employed panel data estimators, mean group (MG) to accommodate slope heterogeneity, and Common Correlated Effects Mean Group (CCEMG), which opens the opportunity to observe the influence of unobserved common factors and allows us to capture cross-sectional dependence and heterogeneous behavior better. We applied the Method of Moment Quantile Regression (MMQR) technique further as a robustness check to capture heterogeneous effects across the green growth distribution. The same methodology with ecological footprint data and implementation of the Generalized Method of Moments (GMM) has eliminated the endogeneity concern. The findings highlighted that educational attainment, globalization, and renewable energy consumption have positive influences on green growth. In comparison, trade openness and natural resource rent exhibit negative effects when we shift the methodology from MG to CCEMG, giving us a total of four significant factors to be concerned with. The study emphasizes the crucial importance of tailored policy approaches and regional collaboration in addressing environmental challenges effectively, and offers actionable insights for achieving green growth in the region by providing empirically grounded and practical recommendations that account for diverse socioeconomic contexts and ecological vulnerabilities.
可持续发展催化剂和绿色增长:利用面板数据、MMQR和CCEMG对来自欧盟国家的证据进行三角测量
绿色增长战略(GGS)对国家经济和环境都是一个双赢的机会。然而,许多国家并不关心获得这些利益,他们继续为短期利益损害环境,而忽视了长期的可持续性。南欧国家可以利用绿色增长政策来提高其竞争力,通过直接采用更清洁的替代品来绕过旧的、污染更大的技术,并实现经济和环境进步。为了解决这一问题,我们分析了2010年至2019年12个南欧国家,研究了它们如何通过纳入关键预测指标来提高绿色增长绩效。我们使用了面板数据估计器、平均组(MG)来适应斜率异质性,以及共同相关效应平均组(CCEMG),这为观察未观察到的共同因素的影响提供了机会,并使我们能够更好地捕捉横截面依赖性和异质性行为。我们进一步应用矩分位数回归方法(MMQR)技术作为稳健性检查,以捕获绿色生长分布中的异质效应。同样的方法与生态足迹数据和广义矩量法(GMM)的实施消除了内生性问题。研究结果表明,受教育程度、全球化和可再生能源消费对绿色增长具有正向影响。相比之下,当我们将方法从MG转换为CCEMG时,贸易开放程度和自然资源租金表现出负向影响,总共有四个重要因素需要关注。该研究强调了有针对性的政策方法和区域合作对于有效应对环境挑战的重要性,并通过提供基于经验和实用的建议,为实现该地区的绿色增长提供了可行的见解,这些建议考虑了不同的社会经济背景和生态脆弱性。
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