Developing nexus between economic opening-up, environmental regulations, rent of natural resources, green innovation, and environmental upgrading of China - empirical analysis using ARDL bound-testing approach

Rabia Shahid , Humera Shahid , Li Shijie , Gao Jian
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引用次数: 12

Abstract

With increasing demand for green growth globally, the escalating economic growth of China is also needed to be accompanied with environmental protection. From an environmental upgrading perspective, current study developed a nexus amid Green Total Factor Energy Productivity (GTFEP), Economic Opening-up (EOU), Environmental Regulations (ER), Rent of Natural Resources (RNR) and Green Innovation (GI) of China. Using annual data from 1990 to 2020 and applying a bound testing approach for Auto-regressive Distributed Lag model (ARDL) along with an error correction model, current study investigated short and long run dynamics amid variables of concern. The results confirmed cointegration between GTFEP and all other variables, and Granger causality analysis revealed uni-directional causality, running from independent variables towards GTFEP. Concluding the results, both long and short-run findings suggested effectiveness of EOU, ER, RNR and GI on GTFEP of China, and the results are statistically significant. Thus, the policies should be aimed to improve opening-up, environmental regulations and green innovation.

中国经济开放、环境规制、资源租赁、绿色创新与环境升级的关系研究——基于ARDL约束检验的实证分析
随着全球对绿色增长的需求不断增加,中国不断升级的经济增长也需要与环境保护相结合。从环境升级的角度来看,当前的研究发展了中国绿色全要素能源生产率(GTFEP)、经济开放(EOU)、环境法规(ER)、自然资源租金(RNR)和绿色创新(GI)之间的关系。利用1990年至2020年的年度数据,并应用自回归分布式滞后模型(ARDL)的边界测试方法和误差校正模型,本研究调查了令人担忧的变量中的短期和长期动态。结果证实了GTFEP与所有其他变量之间的协整关系,Granger因果关系分析揭示了从自变量到GTFEP的单向因果关系。总之,长期和短期研究结果都表明EOU、ER、RNR和GI对中国GTFEP的有效性,并且结果具有统计学意义。因此,这些政策应该旨在改善开放、环境法规和绿色创新。
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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