scholarly journals Exploring the affecting mechanism between environmental regulation and economic efficiency: New evidence from China's coastal areas

2020 ◽  
Vol 189 ◽  
pp. 105148
Author(s):  
Hui Zheng ◽  
Jingchen Zhang ◽  
Xin Zhao ◽  
Hairong Mu
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shuangliang Yao ◽  
Xiang Su

This paper uses the super-efficiency SBM model to measure the green economic efficiency considering undesired output and analyzes the spatial distribution difference of green economic efficiency; secondly, the nonlinear panel threshold model is used to empirically study the nonlinear relationship between environmental regulations and green economic efficiency, and further analyzed the threshold effect of environmental regulations on the efficiency of green economy and concluded as follows. (1) The green economy efficiency index in the eastern region is mostly more significant than 1, and the green economy efficiency in most provinces in the eastern region has improved. These provinces have higher regional production levels and less environmental pollution. The green economy efficiency of the central region is second only to the eastern region. The green economy efficiency of provinces in the western region except Chongqing is less than 1, indicating that these provinces have insufficient regional production, severe environmental pollution, or extensive resource depletion. (2) The impact of environmental regulations on the efficiency of the green economy presents an inverted “U” shape, with a threshold of 0.5128 for environmental regulations. The impact of the industrial structure on the efficiency of the green economy changes from inhibition to promotion after crossing the threshold of the intensity of environmental regulation, and the degree of opening to the outside world has a complementary effect on the efficiency of the green economy. The impact of urbanization on the efficiency of the green economy changes from promotion to suppression after surpassing the threshold of the intensity of environmental regulations.


2021 ◽  
Vol 5 (3) ◽  
pp. 641-654
Author(s):  
Yayat Hidayat ◽  
◽  
Akhmad Jaeroni ◽  
I Sukanata

The main objectives of this study were; (1) Analyzing the economic efficiency of shallot farming in the coastal areas of the North Coast of Indramayu Regency. (2) Describe the shallot supply chain scheme in Indramayu Regency. (3) Describe alternative strategies for developing shallot agribusiness in the coastal areas of the North Coast of Indramayu Regency. The method used in this research was survey research with a quantitative descriptive approach. Data collection was carried out through a Focus Group Discussion (FGD) using questionnaires and in-depth interviews with respondents. Respondents in this study were producer farmers, marketers and other related government institutions. The analytical method used was the analysis of economic efficiency. It is the technical efficiency to measure the efficiency of the use of production factors and allocative efficiency. The allocative efficiency was used to measure the level of efficiency of production prices prevailing in the market. The second analysis was supply chain management (Supply Chain Management) analysis to describe the shallot commodity supply chain scheme at the study site. The Third analysis was SWOT analysis, which is knowing the internal position (strengths and weaknesses) and external (opportunities and threats) to produce alternative strategies for developing shallots agribusiness on the coastal land of Indramayu Regency. Based on research data, it can be explained that shallot farming in the coastal areas of Indramayu Regency has achieved economic efficiency, both in terms of production and marketing. In the aspect of production, shallot farming is profitable with a feasibility level of (R/C) 2.65 Ratio. In the marketing aspects of the six supply chain schemes are below 50%, means that the marketing of shallots in Indramayu Regency is efficient. The most efficient marketing scheme is the fifth scheme, which is only 6.7%, while the highest value of the marketing efficiency is the first scheme, which is 13.2%.


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