Abstract

To promote urbanization in the next stage, it is of great significance to explore the ecological efficiency of green ecological regions and advance the sustainable development of a social economic system. However, spatial heterogeneity has not been fully considered in the existing evaluation models or methods for regional ecological efficiency (REE), and the corresponding decisions on sustainable development are not the optimal solutions. To solve the problems, this paper explores the evaluation of REE and intelligent decision support for sustainable development by analyzing environmental big data. Firstly, the spatiotemporal evolution of REE was examined based on environmental big data to clarify the spatial layout of REE and the sources of the spatial differences. Next, a multiobjective optimal decision-making model was established for the sustainable development of a regional ecosystem, and the solving method was presented for the model. The proposed model was proved valid through experiments.

Highlights

  • Urban development faces several problems, namely, the development model is extensive, the newly developed areas are underpopulated, and the resources are in short supply

  • This paper explores the evaluation of regional ecological efficiency (REE) and intelligent decision support for sustainable development based on environmental big data

  • This paper aims to clarify the spatial layout of REE and the sources of the spatial differences and realize the REE evaluation and make intelligent decisions for sustainable development

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Summary

Introduction

Urban development faces several problems, namely, the development model is extensive, the newly developed areas are underpopulated, and the resources are in short supply. China is vigorously implementing a strategy of regional ecosystem development and environmental protection, which will continuously enhance the coordination between the regional environment, regional economy, and regional society [6,7,8,9,10,11,12] Against this backdrop, in order to promote urbanization in the stage, it is of great significance to explore the ecological efficiency of green ecological regions and advance the sustainable development of the social economic system [13,14,15,16,17,18,19,20,21]. Hoang and Alauddin [25] designed an inputoriented DEA framework, which allows the measurement

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