Appiah-Twum Florence, Long Xingle
School of Management, Jiangsu University, Zhenjiang, 212013 China.
Environ Resour Econ (Dordr). 2023;85(1):109-132. doi: 10.1007/s10640-023-00758-6. Epub 2023 Jan 18.
This study mainly investigates 14 Asia Pacific economies' environmental efficiency. Departing from previous studies ignoring environmental technology heterogeneity, we evaluate environmental efficiency through metafrontier super epsilon based model (EBM). We compare environmental efficiency convergence across different regions via unit root test and truncated regressions. We analyze how trade competitiveness impact environmental efficiency. We also explore effect of green technology and human capital on environmental efficiency from the perspective of endogenous growth. Our findings indicate that stochastic and absolute β-convergence tendencies were confirmed. Human capital can enhance environmental efficiency convergence. Trade competitiveness showed a mixed impact on environmental efficiency convergence, confirming scale, composition and technical effects. It is better to enhance human capital, strengthening environmental regulations under international competition as well as relentlessly pursuing green industrialization across Asia Pacific countries.
本研究主要考察14个亚太经济体的环境效率。与以往忽视环境技术异质性的研究不同,我们通过元前沿超效率基于松弛测度的模型(EBM)来评估环境效率。我们通过单位根检验和截断回归来比较不同地区的环境效率收敛情况。我们分析贸易竞争力如何影响环境效率。我们还从内生增长的角度探讨绿色技术和人力资本对环境效率的影响。我们的研究结果表明,随机和绝对β收敛趋势得到了证实。人力资本可以促进环境效率收敛。贸易竞争力对环境效率收敛呈现出混合影响,证实了规模、结构和技术效应。最好是提高人力资本,在国际竞争下加强环境监管,并在亚太国家坚定不移地推进绿色工业化。