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A Study on Temporal and Spatial Differences in Women’s Well-Being in an Ecologically Vulnerable Area in Northwest China

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  • Jinjing Ma

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Min Lei

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Huan Yu

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Rui Li

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

Abstract

As an important driving force for economic development and social progress, women have become an important subject of well-being research. Human well-being is the state of physical and mental health as well as material affluence and includes a variety of factors, such as wealth, education, health, safety, amenities, way of life, and happiness. Based on the established research framework of the Women’s Development Index (WDI) in Northwest China, this paper first measured the objective well-being level of women in Shaanxi, Gansu, Qinghai, Ningxia, and Xinjiang from 2003 to 2020 under the influence of ecological factors. In addition, spatial disaggregation and comparative analyses of the spatial imbalance of women’s well-being in Northwest China were carried out using the Theil index and Dagum Gini coefficient. The results show that (1) the WDI in ecologically vulnerable areas in Northwest China increased from 0.525 in 2003 to 0.690 in 2020, indicating an overall increase in well-being. (2) The WDI in the five provinces gradually increased with fluctuations. Among them, Shaanxi always remained in first place in terms of the WDI. (3) From 2003 to 2020, the spatial imbalance of women’s well-being as measured according to the WDI in Northwest China first increased and then decreased. However, the gap in women’s well-being in Northwest China was smaller than the economic gap. (4) From 2003 to 2020, the well-being gap measured by the WDI among the 10 groups of provinces in Northwest China gradually decreased, and the development gap between the provinces and Shaanxi was the largest.

Suggested Citation

  • Jinjing Ma & Min Lei & Huan Yu & Rui Li, 2023. "A Study on Temporal and Spatial Differences in Women’s Well-Being in an Ecologically Vulnerable Area in Northwest China," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2324-:d:1048217
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    1. Nathan Kettlewell & Jack Lam, 2022. "Retirement, social support and mental well-being: a couple-level analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(3), pages 511-535, April.
    2. Amal Ray, 2008. "Measurement of social development: an international comparison," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(1), pages 1-46, March.
    3. Marco Filippo Torchio & Umberto Lucia & Giulia Grisolia, 2020. "Economic and Human Features for Energy and Environmental Indicators: A Tool to Assess Countries’ Progress towards Sustainability," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    4. Cengiz Türe & Yiğit Türe, 2021. "A model for the sustainability assessment based on the human development index in districts of Megacity Istanbul (Turkey)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3623-3637, March.
    5. Xiaoming Song & Ze Tian & Chenhui Ding & Chao Liu & Wei Wang & Ronggai Zhao & Yingchun Xing, 2022. "Digital Economy, Environmental Regulation, and Ecological Well-Being Performance: A Provincial Panel Data Analysis from China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    6. Min Song & Lynn Huntsinger & Manman Han, 2018. "How does the Ecological Well-Being of Urban and Rural Residents Change with Rural-Urban Land Conversion? The Case of Hubei, China," Sustainability, MDPI, vol. 10(2), pages 1-22, February.
    7. Kazuhiko Kakamu, 2016. "Simulation Studies Comparing Dagum and Singh–Maddala Income Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 593-605, December.
    8. Eileen Trzcinski & Elke Holst, 2012. "Gender Differences in Subjective Well-Being In and Out of Management Positions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 107(3), pages 449-463, July.
    9. Tri Wahyu Nugroho & Nuhfil Hanani & Hery Toiba & Sujarwo Sujarwo, 2022. "Promoting Subjective Well-Being among Rural and Urban Residents in Indonesia: Does Social Capital Matter?," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    10. M. Pilar Matud & Marisela López-Curbelo & Demelza Fortes, 2019. "Gender and Psychological Well-Being," IJERPH, MDPI, vol. 16(19), pages 1-11, September.
    11. Hoda Jradi & Oraynab Abouabbas, 2017. "Well-Being and Associated Factors among Women in the Gender-Segregated Country," IJERPH, MDPI, vol. 14(12), pages 1-9, December.
    12. Martyna Kobus, 2015. "Polarization measurement for ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 275-297, June.
    13. Hongsong Liang & Yinshan Tang & Xuexi Huo, 2014. "Liushou Women’s Happiness and its Influencing Factors in Rural China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(3), pages 907-918, July.
    14. Verhofstadt, E. & Van Ootegem, L. & Defloor, B. & Bleys, B., 2016. "Linking individuals' ecological footprint to their subjective well-being," Ecological Economics, Elsevier, vol. 127(C), pages 80-89.
    15. Jianxiu Yang & Xing Ma & Xueyan Zhao & Wenqing Li, 2022. "Spatiotemporal of the Coupling Relationship between Ecosystem Services and Human Well-Being in Guanzhong Plain Urban Agglomeration," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    16. Moh Shadiqur Rahman & Novil Dedy Andriatmoko & Moh Saeri & Herman Subagio & Afrizal Malik & Joko Triastono & Renie Oelviani & Juliana C. Kilmanun & Helena da Silva & Marietje Pesireron & Rein Estefanu, 2022. "Climate Disasters and Subjective Well-Being among Urban and Rural Residents in Indonesia," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
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