Environmental quality assessment and spatial spillover effects of three urban agglomerations in China: A Meta-EBM approach

Xin-Ge Guan; Fang-Rong Ren; Zhe Cui; Xue-Rong Zhang; Xuan Zhang; Zhi-Ye Jing

doi:10.1016/j.heliyon.2023.e19028

Environmental quality assessment and spatial spillover effects of three urban agglomerations in China: A Meta-EBM approach

Heliyon. 2023 Aug 9;9(8):e19028. doi: 10.1016/j.heliyon.2023.e19028. eCollection 2023 Aug.

Authors

Xin-Ge Guan¹, Fang-Rong Ren², Zhe Cui³, Xue-Rong Zhang³, Xuan Zhang³, Zhi-Ye Jing³

Affiliations

¹ Business School, Hohai University, Nanjing, 211100, PR China.
² College of Economics and Management, Nanjing Forestry University, Nanjing, 210037, PR China.
³ Economics and Management School, Nantong University, No.9, Seyuan Road, Nantong, Jiangsu, 226019, PR China.

Abstract

The new development form of urban agglomeration has greatly promoted economic and social progress in recent years, but it is also facing severe environmental pollution problems. Understanding the status quo of environmental efficiency in urban agglomerations and its leading driving forces is an important prerequisite for formulating energy conservation and emission reduction policies. This research uses the Meta Epsilon Based Measure (Meta-EBM) model to measure the environmental emission efficiency of the Beijing-Tianjin-Hebei（BTH）, Yangtze River Delta (YRD) and Pearl River Delta (PRD) urban agglomerations in China from 2014 to 2018 so as to improve on the inability of traditional Data Envelopment Analysis (DEA) to combine linear and non-linear characteristics, and employs Moran's I index and spatial econometric methods to analyze their spatial dependence and main driving factors. The results demonstrate that the overall environmental efficiency of the three major urban agglomerations in the five years from 2014 to 2018 presents a wave-like development and then tends to be flat. The itemized efficiency of economic outputs has maintained a relatively high level with the environmental output index exhibiting the best efficiency for industrial wastewater, followed by industrial sulfur dioxide (SO₂). The scores of the two indicators for inhalable fine particle emissions (PM_2.5) and industrial smoke and dust in each urban agglomeration are not ideal, and there are obvious differences between regions. Among them, YRD and PRD are relatively inferior. From the perspective of spatial spillover effects, various indicators show diverse characteristics at different development stages of the regions. Population and Normalized Difference Vegetation Index (NDVI) have a positive effect on environmental efficiency, while both Gross Domestic Product (GDP) per capita and transportation tend to show greater negative effects on regional environmental optimization. This study proposes countermeasures as follows. Each urban agglomeration should set up measures suitable to local conditions and give full play to their location advantages. They can also use space radiation to promote sector economic development and optimize urban environmental benefits.

Keywords: Environmental assessment; Meta-EBM DEA model; Spatial autocorrelation; Spatial spillover effects; Urban agglomeration.