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Research on Spatial Differences and Driving Effects of Ecological Well-Being Performance in China

Bibliographic Data

ID15460936
AuthorsShengyun Wang (Nanchang University), Liancheng Duan (0000-0001-8575-0852, Nanchang University), Shuwen Jiang (0009-0005-3264-0154, Nanchang University, corresponding author)
Year2022
Volume19
Issue15
Pages9310-9310
Publication date2022-07-29
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19159310
PMID35954667
OpenAlexW4289134367
LanguageEN
Citations received5
References cited31

The essential requirement of sustainable development is to maximize economic prosperity and well-being while remaining within natural boundaries. This study focused on three aspects. First, a unique ecological well-being performance (EWP) evaluation model was developed by combining subjective and objective well-being indicators to assess China's EWP from 2006 to 2018. Second, the evolution of spatial differences in China's EWP was examined using the Dagum Gini coefficient and four spatial polarization indicators, from the perspective of eight economic regions. Third, we used the Logarithmic Mean Divisia Index (LMDI) method to decompose the driving factors of China's EWP into four effects: economic, technical, objective well-being, and subjective well-being. Effective ways to promote the coordinated and sustainable enhancement of EWP in China were determined. The results showed that the overall level of EWP in China decreased from 2006 to 2018. The growth rate of China's residents' happiness index was not only slightly slower than the growth rate of the human development index but also significantly slower than the ecological footprint index per capita. The spatial differences of EWP in China were found to be expanding. Inter-regional differences were found to be the primary source of spatial differences in China's EWP. Meanwhile, the capacity for sustainable development among provinces was further stretched, and, thus, the spatial polarization of China's EWP tended to deepen. The importance of economic growth in boosting EWP cannot be overstated. China must actively encourage scientific and technological innovation, transition to a green development model, and raise human well-being in tandem with economic development. This study contributes to a scientific foundation and is a valuable reference for long-term and coordinated regional development in China and other emerging countries

China · Driving factors · Economic geography · Economic inequality · Economics · Geography · Gini coefficient · Index (typography · Inequality · Natural resource economics · Per capita · Population · Sustainable development · Demography · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Environmental Science · Mathematics · Urban Transport and Accessibility · Ecology

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Citations per year1.25
Citation span2022 - 2024 (3)
Highly citedNo

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