Abstract

The concept of green development proposed by the OECD has effectively promoted the coordinated development of economic growth, resource conservation, and environmental protection. In addition, it has provided effective ways and means of improving the quality of global social and economic development. Therefore, this study constructed the green development evaluation index system of Shaanxi Province based on the OECD green development concept, used the AHP and the entropy weight method for weighting, and measured the green development level of ten urban areas in Shaanxi Province from 2016 to 2021. Based on the score of the green development level, the LSE model, ESDA model, and kernel density model were introduced to decompose the optimization path of green development in Shaanxi Province from the three dimensions of contributing factors, spatial distribution, and temporal evolution. The specific research conclusions are: first, from 2016 to 2021, the green development score of Shaanxi Province was between 0.92 and 1.79, and the level of green development showed an overall upward trend, but the two-level differentiation trend between regions was serious. Second, the green development levels of each region in Shaanxi Province were three-factor type I, type II, four-factor type, and five-factor type. The influencing factors of each region showed different characteristics. Third, the level of green development among various regions in Shaanxi Province did not show spatial aggregation, and the development level was significantly different. The regional characteristics show that Xi’an is obviously superior to other regions and has not played a leading role. Fourth, over time, the situation of two-level differentiation in the ten city-level administrative districts of Shaanxi Province has eased, but the development situation is still very severe. The above research conclusions provide a reference and scientific basis for Shaanxi Province to formulate economic development policies and solve the problem associated with coordinated, sustainable development of the regional society-economy-environment.

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