转向可持续环境:印度经济复杂性指数,技术发展和人力资本与环境质量之间的动态联系
Vishal Sharma1, Aruna Dhamija2, Mohammad Haseeb3
1School of Commerce and Economics, Presidency University, Bengaluru, India. economics.vishal26@gmail.com.
概括
经济复杂性,技术创新和人力资本可以减少印度的环境退化. 然而,GDP增长和城市化可能会增加二氧化碳排放,需要有针对性的环境政策.
科学领域:
- 环境经济学环境经济学
- 可持续发展研究 可持续发展研究
- 计量经济学 计量经济学
背景情况:
- 在经济增长的同时,印度面临着环境退化挑战.
- 了解经济复杂性,技术发展和人力资本的相互作用对于环境质量至关重要.
- 现有的研究还没有在印度的特定背景下充分探索这些动态.
研究的目的:
- 调查印度经济复杂性指数 (ECI),技术创新 (TIN),人力资本 (HC) 和环境质量之间的动态关系.
- 分析这些因素对生态足迹和二氧化碳排放的影响.
- 为可持续的环境政策和可持续发展目标 (SDGs) 提供见解.
主要方法:
- 在人口,财富和技术 (STIRPAT) 模型上通过回归应用随机影响.
- 使用自回归分布式滞后 (ARDL) 和矢量错误纠正模型 (VECM) 的估计.
- 对印度1985年至2018年的二次数据进行分析.
主要成果:
- 在模型1中,ECI,TIN和HC被发现可以减轻环境退化 (EF).
- 在模型2中,HC通过减少二氧化碳排放对环境质量产生了积极的影响,而ECI和TIN则没有.
- 发现GDP增长和城市化 (URB) 加剧了二氧化碳排放.
- VECM结果表明,从共同变量到EF和CO2排放的格兰杰因果关系,因果流是异步的.
结论:
- 经济复杂性,技术创新和人力资本是改善印度环境质量的关键驱动力.
- 政策干预应侧重于利用这些因素,同时管理GDP增长和城市化对环境的影响.
- 这些发现为政策制定者和利益相关者提供了有价值的指导,旨在促进印度的可持续发展.
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