Zhijing Jiang∗ and Chao Zhou∗∗
Data envelopment analysis (DEA), geographically weighted regression (GWR), wetland, water area, ecological restoration evaluation
To pursue economic benefits, a large number of wetlands and water bodies have been developed and utilised, causing damage to the original ecosystem. Ecological restoration of wetlands and water bodies has become an urgent problem to be solved. In order to enhance the evaluation of the restoration efficiency of ecological restoration projects, an evaluation model was constructed by combining data envelopment analysis (DEA) and geographically weighted regression (GWR) models. The experimental results showed that the elasticity coefficient of population density on ecological restoration efficiency was −0.0002 (P < 0.1), indicating that the denser the population, the less conducive to the improvement of ecological restoration efficiency. The improvement of efficiency had a positive impact. The proportion of non-agricultural employment had a significant positive impact on the efficiency of ecological restoration (P < 0.01), and the proportion of non-agricultural employment had the highest contribution to the efficiency of ecological restoration. After including the non-agricultural employment proportion impact factor, the new comprehensive technical efficiency measurement value increased from 0.52 to 0.61, and the multi-year average efficiency growth rate was 0.173%. Using the DEA model, GWR model, and DEA-GWR model to compare the performance in practical applications, the DEA-GWR model had higher evaluation accuracy. It provides a good reference value for ecological restoration evaluation of wetlands and waters. ∗ School of Marxism, Jiangxi Medical College, Shangrao 334000, China; e-mail: [email protected] ∗∗ Ideological and Political Theory Course Teaching and Research Department, Jiangxi Technical College of Manufacturing, Nanchan 330000, China; e-mail: [email protected] Corresponding author: Chao Zhou
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