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1.
Heliyon ; 10(1): e23817, 2024 Jan 15.
Article in English | MEDLINE | ID: mdl-38223740

ABSTRACT

With the wave of the digital economy and industrial ecological construction, it is more essential for developing countries to focus on improving the structural quality of the service industry rather than just the quantitative aspect of the service industry. This study utilizes panel data from 30 provinces in China and spatial Dubin models to estimate the impact of service industry structure upgrading on industrial ecologicalization efficiency and its spatial effect. Our results reveal that productive and high-end service industries play a vital role in promoting industrial ecological efficiency. At the level of spatial effect, the productive service industry has a negative spatial correlation with the adjacent area, while the effect of the high-end service industry on the adjacent area is not highlighted. This study focuses on clarifying the spatial role of service industry structure upgrading on the improvement of industrial ecological efficiency, further expanding the theory of industrial structure adjustment, and providing insights for developing countries on how to optimize the structure of the service industry and achieve high-quality development of industrial ecologicalization.

2.
Sci Rep ; 12(1): 11940, 2022 07 13.
Article in English | MEDLINE | ID: mdl-35831409

ABSTRACT

To achieve the goal of energy conservation and emission reduction, China has launched its national carbon-emission trading scheme (ETS). Therefore, it is of great significance to evaluate the implementation of ETS from the perspective of regional ecologicalization efficiency of industry. Based on the panel data of 30 provinces and cities from 2007 to 2019, this study takes the SBM-DEA model to measure the regional ecologicalization efficiency of industry, uses the Difference-in-Difference (DID) model to evaluate the influence of ETS on the regional ecologicalization efficiency of industry, and verifies the outcome by propensity score matching method and counterfactual test. The mediating effect model is used to test the acting pattern of ETS on the regional ecologicalization efficiency of industry. The results show that: (1) ETS can significantly improve the ecologicalization efficiency of industry and shows regional heterogeneity. (2) ETS promotes regional energy conservation, emission reduction, and economic development because of the upgrading of structural optimization, agglomeration of resource synergy, and optimization of ecology. This study offers penetrating insights into the positive operation of the carbon market and provides some useful hints for the development of China's regional economy.


Subject(s)
Carbon , Greenhouse Gases , Carbon/analysis , China , Economic Development , Industry
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