Foreign Direct Investment, Regional Innovation, and Green Economic Efficiency: An Empirical Test Based on the Investigation of Intermediary Effect and Threshold Effect.

You Qun Wu ,You-Qun Wu,Huai-Xin Lu,Jia-Bao Liu,Jia-Ming Zhu,Xin-Lin Liao,Huai Xin Lu ,Heng Liu

doi:10.1155/2021/7348599

Abstract

Based on the theoretical mechanism analysis of FDI, regional innovation, and green economic efficiency, this article uses China's provincial panel data to calculate the provincial green economic efficiency level based on the three-stage DEA method and uses the system GMM model, intermediary effect model, and threshold model to empirically test the specific effects and transmission paths of FDI on the efficiency of the green economy. Research shows that FDI is one of the important factors that promote the improvement of green economic efficiency. Subregional tests have found that FDI has a significant regional heterogeneity in promoting the efficiency of the green economy. The mediation effect test found that the mediation effect of regional innovation is significant, and FDI can significantly promote the growth of green economic efficiency through regional innovation. The threshold effect analysis found that there are significant and effective double thresholds for regional economic levels, and the impact of FDI on green economic efficiency is heterogeneous within different threshold intervals. The research conclusions provide new inspiration for China to allocate FDI more rationally and efficiently under the new development pattern.

Highlights

Since the reform and opening up, China’s “Special Management Measures for Foreign Investment Access (Negative List)” project has continued to reduce, and the “Notice on Several Measures to Actively and Effectively Use Foreign Investment to Promote High-quality Economic Development” has continued to expand the scope of opening up
Tone proposed a super SBM-data envelopment analysis (DEA) model based on relaxation variables for early efficiency measures without considering the effects of relaxation variables and the defects used in production activity [22]. ereafter, Fried and Lovell further considered the impact of environmental factors, statistical noise, and random noise on the efficiency evaluation of decision making unit (DMU) and separated them to achieve a more objective and accurate measure [23]
Based on the basis of existing research results, the influence mechanism of FDI, and regional innovation on green economic efficiency, we calculated the basis of 30 provincial-level panel data from 2010 to 2017, tested the driving effect of FDI, regional innovation on green economic efficiency, and tested the driving status of FDI on green economic efficiency by regions

Summary

Introduction

Since the reform and opening up, China’s “Special Management Measures for Foreign Investment Access (Negative List)” project has continued to reduce, and the “Notice on Several Measures to Actively and Effectively Use Foreign Investment to Promote High-quality Economic Development” has continued to expand the scope of opening up. E 14th five year plan and the outline of long-term objectives for 2035 run through a clear main line; that is, we should unswervingly implement the new development concept and list “implementing high-level opening to the outside world and promoting the stability and quality improvement of foreign trade and foreign investment” as one of the key tasks. One road to building a high-quality economy and the need to participate in global economic governance reform and improvement, is the foundation for opening up a new economic system at a higher level. What is the impact of FDI and regional innovation on green economic efficiency?

Methods

Results

Conclusion