Evaluating Regional Eco-Green Cooperative Development Based on a Heterogeneous Multi-Criteria Decision-Making Model: Example of the Yangtze River Delta Region

Abstract

The coordinated development evaluation problem of a regional eco-green cooperative can be formulated as a heterogeneous multi-criteria decision-making (HMCDM) problem. Evaluation information can contain qualitative information and quantitative information, but it cannot determine the weight of the interdependence criteria subjectively. Firstly, this paper constructs an evaluation index system for regional ecological green coordinated development. The system includes four dimensions of coordinated development: the regional ecological environment, economic environment, social environment and policy environment, including 20 indicators with heterogeneous and multi-attribute characteristics. Secondly, we construct a heterogeneous multi-attribute decision-making model by calculating the relative closeness, and use the closeness to construct the value function to determine the weight index of each attribute. Finally, we make an empirical study on the performance evaluation of regional ecological green coordinated development of 27 cities in the central area of the Yangtze River Delta in China. The results show that the main driving force for the improvement of the level of regional ecological green coordinated development is the high-quality economic development, and the main obstacles to the degree of coordinated development of regional ecological green development are high energy consumption, high pollution and high emissions in industrial development; and a result found by sorting the degree of the regional ecological green coordinated development in the Yangtze River Delta city group. The heterogeneous multi-attribute decision model we proposed can effectively solve the weights of the ecological green collaborative development indicators, and the method has feasibility and effectiveness.

A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection

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Impact of Environmental Regulation on Export Technological Complexity of High-Tech Industries in Chinese Manufacturing

“…As environmental regulation policies evolve, the unfavorable impacts on enterprise production caused by increased policy intensity gradually diminish (Duflo et al 2018;Yang et al 2020aYang et al , 2020b. The accompanying "innovation compensation effect" will to some extent promote the increase in technological complexity of high-tech industries in manufacturing.…”

“…In conclusion, the summarization of the main literature related to environmental regulation indicators is listed in Table 2. The crowding out of innovation funds hinders technological progress and the increase in the technological complexity of high-tech industries in manufacturing (Duflo et al 2018;Yang et al 2020aYang et al , 2020b As environmental regulation policies evolve, the unfavorable impacts on enterprise production caused by increased policy intensity gradually diminish (Mbanyele and Wang 2022;Song et al 2023;Xu 2023) The environmental regulation policies further enhances the competitiveness of high-tech products, forming a green competitive advantage in high-tech products (Bigerna et al 2019;Yang et al 2022a) Constructing a comprehensive-indicator system composed of multiple indicators to measure the implementation intensity of environmental regulation policies in different regions; (Wu et al 2022) Explore the impact of industrial intelligence on export technology complexity from different dimensions (Hausmann et al 2007;Mbanyele and Wang 2022;Wang et al 2023) Increasing foreign direct investment and improvements in human capital and R&D investment will drive the growth of export technological complexity through spillover effects…”

Electrocatalysts for direct methanol fuel cells to demonstrate China's renewable energy renewable portfolio standards within the framework of the 13th five-year plan

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