Economic Complexity as a Determinant of Green Development in the Central and Eastern European (CEE) Countries

Olimpia Neagu, M. Neagu
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Abstract

The paper analyses the determinants of green development in the Central and Eastern European (CEE) countries pointing out the influence of the sophistication of productive structure and exported goods (economic complexity). The study uses OECD data regarding green development, World Bank Indicators, World Penn Table Data, and MIT Harvard data covering the period of 1996 to 2020, in a heterogeneous panel approach. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models are estimated in order to express the influence on green development of the economic complexity index, KOF globalization index, renewable energy consumption, human capital index, and a constructed institutional quality index (computed by using the Principal Component Analysis based on data from World Governance Indicators). All considered variables have a validated statistical influence on green growth in both models. The Dumitrescu-Hurlin causality test revealed a bidirectional causal relationship between institutional quality and green growth and unidirectional ones from economic complexity, human capital and renewable energy to green development and from green development to globalization. Policy implications are also provided.
经济复杂性是中东欧(CEE)国家绿色发展的决定因素
本文分析了中欧和东欧(CEE)国家绿色发展的决定因素,指出了生产结构和出口商品的复杂性(经济复杂性)的影响。研究采用了经合组织有关绿色发展的数据、世界银行指标、世界宾夕法尼亚州表数据和麻省理工学院哈佛数据,时间跨度为 1996 年至 2020 年,采用的是异质面板方法。对完全修正普通最小二乘法(FMOLS)和动态普通最小二乘法(DOLS)模型进行了估算,以表达经济复杂性指数、KOF 全球化指数、可再生能源消耗、人力资本指数和构建的机构质量指数(根据世界治理指标数据使用主成分分析法计算)对绿色发展的影响。在这两个模型中,所有考虑到的变量对绿色增长的统计影响都是有效的。Dumitrescu-Hurlin 因果检验表明,制度质量与绿色增长之间存在双向因果关系,而从经济复杂性、人力资本和可再生能源到绿色发展,以及从绿色发展到全球化之间存在单向因果关系。报告还提供了政策影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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