Dynamic relationship between resource endowment, financial agglomeration, innovation-driven, and green total factor productivity

Abstract

As conflicts between emissions reductions and economic growth intensify, an increasing number of countries and regions are focusing on green total factor productivity (GTFP). Financial agglomeration (QWS), resource endowment (SE), and innovation-driven (ID) are the main factors that cause regional differences in GTFP. However, few scholars have comprehensively considered the impact of the interaction between SE, ID, and QWS on GTFP. This article uses the Global Malmquist-Luenberger (GML) index to calculate the GTFP of 30 Chinese provinces from 2003 to 2020 and constructs a dynamic panel model to present the first comprehensive study of the interactions between SE, ID, and QWS and their relationship with GTFP. The conclusions are as follows. (1) SE is positively correlated with GTFP, which is different from the “resource curse” theory proposed by existing research. (2) There is a crowding-out effect between SE and ID, and their interaction will restrain the growth of GTFP. (3) QWS promotes ID, and the interaction between the two promotes the growth of GTFP. (4) There is a restraining effect between QWS and SE, and their interaction will hinder the growth of GTFP. (5) The key policy directions to improve China's GTFP are to undertake strategic planning from a comprehensive perspective, including encouraging innovation, guiding financial development reasonably, and avoiding excessive consumption of resources.

Green Innovation Effects of Ecological Civilization Pilot Policies

“…Columns (1) and ( 2) show the estimation results before and after adding control variables. Column (1) shows that the ecological civilization pilot policies positively affected green technology innovation at the 1% significance level with a regression coefficient of 0.355. Column (2) shows that the regression coefficient of the ecological civilization pilot policies decreases from 0.355 to 0.279 after the inclusion of control variables, but still exerts a positive influence at the 5% significance level.…”

“…UR it is the urbanization level, and the meaning of the rest of the variables is the same as Equation (1). Under the premise of proving that the pilot policy has a significant effect on green technology innovation, it is verified in turn whether the pilot policy of ecological civilization has a significant effect on urbanization and urbanization on green technology innovation, and if both are significant, then it means that urbanization played a mediating role in the main effect.…”

“…How to achieve a balance between economic development and ecological protection has long been a hotly debated topic in academia [1,2]. At present, one of the more popular views is achieving energy saving and emission reduction through technological progress [3,4].…”

Explaining the Green Development Behavior of Local Governments for Sustainable Development: Evidence from China

“…Local governments are in an important position to implement localized intermediary strategies for the global agenda [1]. With the increasing contradiction between emission reduction and economic growth [2,3], the carbon emission situation remains gloomy. In 2022, global energy-related CO2 emissions increased by 0.9%.…”

Towards Sustainable Development: Investigating the Heterogeneity and Driving Factors of Green Total Factor Productivity in Coal Enterprises

“…At the macro level, Cai et al [14] used the DEA method to measure GTFP in the coal industry using the Global Malmquist-Luenberger productivity index and analyzed the differences in GTFP at the regional level. Li et al [15] further explored the driving factors of GTFP and showed that resource abundance constrained regional GTFP growth and that environmental regulation, investment in science and technology, and human capital have positive effects on GTFP. Also, Fang et al [16] used the SBM-DEA method to measure the GTFP of extractive industries in China.…”