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Data Details

Dataset of Ecological Well-being Performance and Its Drivers’ Decomposition of China (2001-2020)


DONG Ying1SUN Yuhuan1
1 School of Statistics，Dongbei University of Finance and Economics，Dalian 116025，China

DOI:10.3974/geodb.2024.05.09.V1

Published:May 2024

Visitors：2678       Data Files Downloaded：63      
Data Downloaded：4.32 MB      Citations：

Key Words：

ecological well-being performance;ecological footprint;ST-LMDI

Abstract：

Based on the welfare of residents and ecological consumption information from 30 provincial level administrative regions of China (data on Xizang, Hong Kong, Macao, and Taiwan were unavailable), the authors constructed a method to quantitatively assess China's ecological welfare performance. The per capita residential welfare, ecological footprint, and ecological well-being performance were measured. Using the ST-LMDI model, the ecological well-being performance of provincial-level regions and economic zones spatially and temporally in China were analyzed, the dataset of ecological well-being performance and its drivers’ decomposition of China (2001-2020) was developed. The dataset includes the following data in 8 economic zones, and 30 provincial level administrative regions during 2001-2020: (1) time series changes in per capita resident welfare, per capita ecological footprint and ecological well-being performance of China; (2) contribution of drivers to the ecological well-being performance; (3) results of spatial decomposition of ecological well-being performance. The dataset is archived in .xlsx format, and consist of one data file with data size of 70.1 KB. The analysis paper based on the dataset was published in Acta Geographica Sinica, Vol. 79, No. 5, 2024.

Foundation Item：

National Social Science Fund of China (18ZDA126); National Natural Science Foundation of China (71934001)

Data Citation：

DONG Ying, SUN Yuhuan. Dataset of Ecological Well-being Performance and Its Drivers’ Decomposition of China (2001-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.05.09.V1.

References：


     [1] Armiento, M. The sustainable welfare index: Towards a threshold effect for Italy [J]. Ecological Economics, 2018, 152: 296-309.
     [2] Wang, S. H., Huang, L., Xu, X. L., et al. Spatio- temporal variation characteristics of ecological space and its ecological carrying status in mega-urban agglomerations [J]. Acta Geographica Sinica, 2022, 77(1): 164-181.
     [3] Fang, S. J., Xiao, Q. Research on regional ecological well- being performance and spatial effect in China [J]. China Population, Resources and Environment, 2019, 29(3): 1-10.
     [4] Deng, Y. J., Yang, X., Ma, Q. W., et al. Regional disparity and convergence of China's ecological welfare performance level [J]. China Population, Resources and Environment, 2021, 31(4): 132-143.
     [5] Wang, S. Y., Han, Y. J., Ren, H. M., et al. Evaluation of provincial ecological well- being performance and its driving effect decomposition in China [J]. Resources Science, 2020, 42(5): 840-855.
     [6] Hong, S. F., Guo, Q. H., Li, D. W. Spatiotemporal dynamics of ecological supply and demand based on ecological footprint theory [J]. Resources Science, 2020, 42(5): 980-990.
     [7] Zhang, W. B., Guo, Q. China's sustainable economic welfare measurement and the analysis of its regional differences [J]. Journal of Management, 2019, 32(3): 19-30.
     [8] Liu, Y. L., Wang, Y. H., Zhu, X. C. Structural equilibrium-index of sustainable economic welfare under the goal of common prosperity [J]. The Journal of Quantitative & Technical Economics, 2022, 39(5): 3-24.
     [9] Tian, W. M. Calculation of the Gini coefficient in China and analysis of its trend [J]. The Journal of Humanities, 2012, 66 (2): 56-61.
     [10] Long, X. L., Ji, X. Economic growth quality, environmental sustainability, and social welfare in China: Provincial assessment based on genuine progress indicator (GPI) [J]. Ecological Economics, 2019, 159(5): 157-176.
     [11] Clarke, M., Islam, S. M. N. Diminishing and negative welfare returns of economic growth: An index of sustainable economic welfare (ISEW) for Thailand [J]. Ecological Economics, 2005, 54(1): 81-93.
     [12] Shen, X. Y., Wang, G. H., Huang, X. J. Green GDP accounting and spatio-temporal pattern in China from 1997 to 2013 [J]. Journal of Natural Resources, 2017, 32(10): 1639-1650.
     [13] [13] Zhang, X. P., Xu, Q. N., Zhang, F., et al. Exploring shadow prices of carbon emissions at provincial levels in China [J]. Ecological Indicators, 2014, 46: 407-414.
     

Data Product:

ID Data Name Data Size Operation
1 EcoWelfarePerf.China2001-2020.xlsx 70.15KB
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