IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i2p1542-1557d45326.html
   My bibliography  Save this article

Spatio-Temporal Characteristics of Rural Economic Development in Eastern Coastal China

Author

Listed:
  • Guogang Wang

    (Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South St., Beijing 100081, China)

  • Mingli Wang

    (Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South St., Beijing 100081, China)

  • Jimin Wang

    (Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South St., Beijing 100081, China)

  • Chun Yang

    (Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South St., Beijing 100081, China)

Abstract

Although the regional differences of rural economic development can be easily determined, a challenging problem for research studies regarding rural economic development has been the inter-relatedness between different areas, and this challenge has been noted remarkably little in research data to date. As an empirical investigation, this study analyzes the spatio-temporal characteristics of rural economic development from a period beginning in 1978 to the year 2012, in the eastern coastal region of China. In order to determine the special differentiation characteristics of rural economic development, three indexes, namely the Gini coefficient ( G ), Tsui–Wang index ( TW ) and Theil index ( T ), were employed. To explore the inter-relatedness among the different areas, we selected a spatial autocorrelation model. The results indicated that, to a large extent, rural economic development from 1978 to 2012 in the eastern coastal region of China was greatly influenced, and the per capita annual net income changed significantly, due to the process of rapid urbanization and industrialization. Generally speaking, the annual net income constantly increased, from 87.7 USD in 1978 to 1628.1 USD in 2012. However, the calculation results indicated that the per capita income gap in the same province decreased, while the gap between the provinces presented an aggregate trend. The regional polarization widened continuously. It was also found that the spatial positive autocorrelation for the regional economy was significant, with a waving and ascending trend, and the neighbor effect of regional economic growth was continuously strengthened. Qualitative analysis of the driving mechanism was applied, and it was determined that there are three primary factors affecting the development of the rural regions, namely resource endowments, economic location and policies.

Suggested Citation

  • Guogang Wang & Mingli Wang & Jimin Wang & Chun Yang, 2015. "Spatio-Temporal Characteristics of Rural Economic Development in Eastern Coastal China," Sustainability, MDPI, vol. 7(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:2:p:1542-1557:d:45326
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/2/1542/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/7/2/1542/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. S. Mahendra Dev, 2008. "India," Chapters, in: Anis Chowdhury & Wahiduddin Mahmud (ed.), Handbook on the South Asian Economies, chapter 1, Edward Elgar Publishing.
    2. You‐Qiang Wang & Kai‐Yuen Tsui, 2000. "Polarization Orderings and New Classes of Polarization Indices," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 2(3), pages 349-363, July.
    3. Zheng, Buhong & J. Cushing, Brian, 2001. "Statistical inference for testing inequality indices with dependent samples," Journal of Econometrics, Elsevier, vol. 101(2), pages 315-335, April.
    4. Bourguignon, Francois, 1979. "Decomposable Income Inequality Measures," Econometrica, Econometric Society, vol. 47(4), pages 901-920, July.
    5. Alvaredo, Facundo, 2011. "A note on the relationship between top income shares and the Gini coefficient," Economics Letters, Elsevier, vol. 110(3), pages 274-277, March.
    6. Narain, Urvashi & Gupta, Shreekant & van 't Veld, Klaas, 2008. "Poverty and resource dependence in rural India," Ecological Economics, Elsevier, vol. 66(1), pages 161-176, May.
    7. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    8. YIlmaz, Bülent & Dasdemir, Ismet & Atmis, Erdogan & Lise, Wietze, 2010. "Factors affecting rural development in turkey: BartIn case study," Forest Policy and Economics, Elsevier, vol. 12(4), pages 239-249, April.
    9. Takahiro Akita, 2003. "Decomposing regional income inequality in China and Indonesia using two-stage nested Theil decomposition method," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(1), pages 55-77, February.
    10. Wang, You-Qiang & Tsui, Kai-Yuen, 2000. "Polarization Orderings and New Classes of Polarization Indices," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 2(3), pages 349-363.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tingting Li & Hualou Long & Shuangshuang Tu & Yanfei Wang, 2015. "Analysis of Income Inequality Based on Income Mobility for Poverty Alleviation in Rural China," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    2. Xiaodong Xu & Jingping Liu & Ning Xu & Wei Wang & Hui Yang, 2018. "Quantitative Study on the Evolution Trend and Driving Factors of Typical Rural Spatial Morphology in Southern Jiangsu Province, China," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    3. Jie Gu & Suhong Zhou & Xinyue Ye, 2016. "Uneven Regional Development Under Balanced Development Strategies: Space-Time Paths of Regional Development in Guangdong, China," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(5), pages 596-610, December.
    4. Ze Yuan & Weizhou Wang & Jing Peng & Fuchao Liu & Jianhua Yang, 2017. "Case Library Construction Technology of Energy Loss in Distribution Networks Considering Regional Differentiation Theory," Energies, MDPI, vol. 10(11), pages 1-14, November.
    5. Lifeng Shi & Taiyang Zhong, 2019. "The Spatial Pattern of Urban Settlement in China from the 1980s to 2010," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    6. Lei Ding & Kun-Lun Chen & Ting Liu & Sheng-Gao Cheng & Xu Wang, 2015. "Spatial-Temporal Hotspot Pattern Analysis of Provincial Environmental Pollution Incidents and Related Regional Sustainable Management in China in the Period 1995–2012," Sustainability, MDPI, vol. 7(10), pages 1-23, October.
    7. Yuantong Jiang & Shoukai Sun & Yening Wang & Shuanning Zheng, 2018. "Niche Evolution of China’s Provincial Social–Economic–Natural Complex Ecosystems, 2005–2015," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    8. Valentinov, Vladislav & Vaceková, Gabriela, 2015. "Sustainability of Rural Nonprofit Organizations: Czech Republic and Beyond," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(8), pages 9890-9906.
    9. Vladislav Valentinov & Gabriela Vaceková, 2015. "Sustainability of Rural Nonprofit Organizations: Czech Republic and Beyond," Sustainability, MDPI, vol. 7(8), pages 1-17, July.
    10. Yu, Yin & Chi, Jing, 2021. "Political embeddedness, media positioning and corporate social responsibility: Evidence from China," Emerging Markets Review, Elsevier, vol. 47(C).
    11. Miao, Shuchao & Chi, Jing & Liao, Jing & Qian, Long, 2021. "How does religious belief promote farmer entrepreneurship in rural China?," Economic Modelling, Elsevier, vol. 97(C), pages 95-104.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Takahiro Akita, 2002. "Regional Income Inequality In Indonesia And The Initial Impact Of The Economic Crisis," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 38(2), pages 201-222.
    2. Kam Ki Tang & Dennis Petrie, 2009. "Non-Hierarchical Bivariate Decomposition of Theil Indexes," Economics Bulletin, AccessEcon, vol. 29(2), pages 918-927.
    3. Takahiro Akita & Sachiko Miyata, 2018. "Spatial Inequalities in Indonesia, 1996–2010: A Hierarchical Decomposition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 829-852, August.
    4. Mariateresa Ciommi & Chiara Gigliarano & Giovanni Maria Giorgi, 2019. "Bonferroni And De Vergottini Are Back: New Subgroup Decompositions And Bipolarization Measures," Working Papers 439, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Cristina Blanco Pérez & Xavier Ramos, 2010. "Polarization And Health," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 171-185, March.
    6. Takahiro Akita & Sachiko Miyata, 2020. "Urban and Rural Dimensions of the Role of Education in Inequality: A Comparative Analysis between Indonesia, Myanmar, and the Philippines," Working Papers EMS_2020_04, Research Institute, International University of Japan.
    7. Juan Duro & Emilio Padilla, 2013. "Cross-Country Polarisation in CO 2 Emissions Per Capita in the European Union: Changes and Explanatory Factors," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(4), pages 571-591, April.
    8. Nicholas Rohde, 2016. "J-divergence measurements of economic inequality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 847-870, June.
    9. Wu, Dengsheng & Yuan, Lili & Li, Ruoyun & Li, Jianping, 2018. "Decomposing inequality in research funding by university-institute sub-group: A three-stage nested Theil index," Journal of Informetrics, Elsevier, vol. 12(4), pages 1312-1326.
    10. Takahiro Akita, 2017. "Educational Expansion and the Role of Education in Expenditure Inequality in Indonesia Since the 1997 Financial Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 1165-1186, February.
    11. Aekapol Chongvilaivan & Jungsuk Kim, 2016. "Individual Income Inequality and Its Drivers in Indonesia: A Theil Decomposition Reassessment," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(1), pages 79-98, March.
    12. Yoonseok Lee & Donggyun Shin, 2016. "Measuring Social Tension from Income Class Segregation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 457-471, July.
    13. Takahiro Akita & Sachiko Miyata, 2013. "The roles of location and education in the distribution of economic well-being in Indonesia: hierarchical and non-hierarchical inequality decomposition analyses," Letters in Spatial and Resource Sciences, Springer, vol. 6(3), pages 137-150, November.
    14. Chiara Gigliarano & Daniel Nowak & Karl Mosler, 2019. "A Polarization Index for Overlapping Groups," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 712-735, December.
    15. Takahiro Akita & Sachiko Miyata, 2008. "Urbanization, educational expansion, and expenditure inequality in Indonesia in 1996, 1999, and 2002," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 13(2), pages 147-167.
    16. Sabiou Inoua, 2021. "Beware the Gini Index! A New Inequality Measure," Papers 2110.01741, arXiv.org.
    17. Antonio Duro, Juan & Teixidó-Figueras, Jordi, 2014. "World polarization in carbon emissions, potential conflict and groups: An updated revision," Energy Policy, Elsevier, vol. 74(C), pages 425-432.
    18. Neves Costa, Rita & Pérez-Duarte, Sébastien, 2019. "Not all inequality measures were created equal - The measurement of wealth inequality, its decompositions, and an application to European household wealth," Statistics Paper Series 31, European Central Bank.
    19. Michele Giammatteo, 2007. "The bidimensional decomposition of inequality: A nested Theil approach," LIS Working papers 466, LIS Cross-National Data Center in Luxembourg.
    20. Chakravarty, Satya R. & Deutsch, Joseph & Silber, Jacques, 2008. "On the Watts Multidimensional Poverty Index and its Decomposition," World Development, Elsevier, vol. 36(6), pages 1067-1077, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:7:y:2015:i:2:p:1542-1557:d:45326. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.