IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i11p2008-d1272974.html
   My bibliography  Save this article

Exploring the Spatial Heterogeneity of Rural Development in Laos Based on Rural Building Spatial Database

Author

Listed:
  • Shangqian Li

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
    China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China)

  • Yutian Liang

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
    China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China
    Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China)

  • Xin Deng

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
    China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China)

  • Weipan Xu

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
    China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China)

  • Xun Li

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
    China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

The countryside is the principal area of population agglomeration with a high incidence of global poverty problems. As a shelter for the daily life of rural inhabitants, the rural buildings constitute the element of rural settlements. Moreover, they can directly characterize the level of rural development. Therefore, in the new stage of the Sustainable Development Goals (SDGs), this study selected Laos as the main study area and investigated the effect of different factors on the spatial heterogeneity of rural development based on the rural building spatial database. With the geodetector, the results are summarized as follows: (1) The spatial pattern of rural buildings in different regions of Laos varies significantly, with hot spots areas of rural buildings mainly located in the central and southern regions, while cold spots areas are mainly concentrated in the northern region. (2) Slope, transport infrastructure, and public service are the dominant elements influencing the spatial differentiation of rural buildings in Laos, but spatial heterogeneity existed in different regions of factors. (3) The interaction detector shows that slope ∩ road is the dominant interaction factor influencing the spatial distribution pattern of rural buildings nationwide, and there are marked divergences in the interaction factors. Finally, this study combines the findings to propose corresponding countermeasures for promoting the development and construction of rural areas in Laos.

Suggested Citation

  • Shangqian Li & Yutian Liang & Xin Deng & Weipan Xu & Xun Li, 2023. "Exploring the Spatial Heterogeneity of Rural Development in Laos Based on Rural Building Spatial Database," Land, MDPI, vol. 12(11), pages 1-15, November.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:2008-:d:1272974
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/11/2008/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/11/2008/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. H. Hanson, Gordon, 2005. "Market potential, increasing returns and geographic concentration," Journal of International Economics, Elsevier, vol. 67(1), pages 1-24, September.
    2. Fujita, Masahisa & Thisse, Jacques-Francois & Zenou, Yves, 1997. "On the Endogeneous Formation of Secondary Employment Centers in a City," Journal of Urban Economics, Elsevier, vol. 41(3), pages 337-357, May.
    3. Shanzi Ke & Edward Feser, 2010. "Count on the Growth Pole Strategy for Regional Economic Growth? Spread-Backwash Effects in Greater Central China," Regional Studies, Taylor & Francis Journals, vol. 44(9), pages 1131-1147.
    4. McKinley, Terry & Wang, Li Na, 1992. "Housing and wealth in rural China," China Economic Review, Elsevier, vol. 3(2), pages 195-211.
    5. Bradstock, Alastair, 2005. "Changing livelihoods and land reform: Evidence from the Northern Cape province of South Africa," World Development, Elsevier, vol. 33(11), pages 1979-1992, November.
    6. Peter Warr, 2010. "Roads And Poverty In Rural Laos: An Econometric Analysis," Pacific Economic Review, Wiley Blackwell, vol. 15(1), pages 152-169, February.
    7. Sagarika Patowary & Arup Kumar Sarma, 2018. "Model-based analysis of urban settlement process in eco-sensitive area of developing country: a study with special reference to hills of an Indian city," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(4), pages 1777-1795, August.
    8. Minot, Nicholas & Baulch, Bob & Epperecht, Michael, 2006. "Poverty and inequality in Vietnam: spatial patterns and geographic determinants," Research reports 148, International Food Policy Research Institute (IFPRI).
    9. Guanglian Luo & Bin Wang & Dongqi Luo & Chaofu Wei, 2020. "Spatial Agglomeration Characteristics of Rural Settlements in Poor Mountainous Areas of Southwest China," Sustainability, MDPI, vol. 12(5), pages 1-13, February.
    10. Minh Quang Dao, 2004. "Rural poverty in developing countries: an empirical analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 31(6), pages 500-508, December.
    11. Masahisa Fujita & Jacques-François Thisse & Yves Zenou, 1997. "On the Endogeneous Formation of Secondary Employment Centers in a City," Post-Print hal-04103040, HAL.
    12. Steve Wiggins & Sharon Proctor, 2001. "How Special Are Rural Areas? The Economic Implications of Location for Rural Development," Development Policy Review, Overseas Development Institute, vol. 19(4), pages 427-436, December.
    13. Joanne Millar & John Connell, 2010. "Strategies for scaling out impacts from agricultural systems change: the case of forages and livestock production in Laos," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 27(2), pages 213-225, June.
    14. Yang Zhou & Yansui Liu, 2018. "Solar power brings money to rural areas," Nature, Nature, vol. 560(7716), pages 29-29, August.
    Full references (including those not matched with items on IDEAS)

    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. Xin Deng & Yutian Liang & Xun Li & Weipan Xu, 2023. "Recognition and Spatial Distribution of Rural Buildings in Vietnam," Land, MDPI, vol. 12(12), pages 1-15, December.
    2. Han, Feng & Ke, Shanzi, 2016. "The effects of factor proximity and market potential on urban manufacturing output," China Economic Review, Elsevier, vol. 39(C), pages 31-45.
    3. Xu Yang & Xuan Zou & Ming Li & Zeyu Wang, 2024. "The Decarbonization Effect of the Urban Polycentric Structure: Empirical Evidence from China," Land, MDPI, vol. 13(2), pages 1-17, February.
    4. Peng Ji & Lilin Yuan, 2023. "Whether polycentric spatial structure is conducive to regional coordinated development: A study on urban agglomerations in China," Growth and Change, Wiley Blackwell, vol. 54(4), pages 940-961, December.
    5. Ling Li & Fangzhou Xia, 2023. "City subcenter as a regional development policy: Impact on the property market," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 643-673, June.
    6. Yang Zhou & Chunyang Tong & Yongsheng Wang, 2022. "Road construction, economic growth, and poverty alleviation in China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1306-1332, September.
    7. Berry, Carl & Börjesson, Maria, 2024. "Income and fuel price elasticities of car use on micro panel data," Energy Economics, Elsevier, vol. 135(C).
    8. Mark Partridge & M. Rose Olfert & Alessandro Alasia, 2007. "Canadian cities as regional engines of growth: agglomeration and amenities," Canadian Journal of Economics, Canadian Economics Association, vol. 40(1), pages 39-68, February.
    9. Burhan Can Karahasan & Firat Bilgel, 2018. "Economic Geography, Growth Dynamics and Human Capital Accumulation in Turkey: Evidence from Regional and Micro Data," Working Papers 1233, Economic Research Forum, revised 10 Oct 2018.
    10. Picard, Pierre M. & Toulemonde, Eric, 2006. "Firms agglomeration and unions," European Economic Review, Elsevier, vol. 50(3), pages 669-694, April.
    11. Felbermayr, Gabriel & Jung, Benjamin, 2012. "The home market effect, regional inequality, and intra-industry reallocations," University of Tübingen Working Papers in Business and Economics 33, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    12. Scott Loveridge & Dusan Paredes, 2018. "Are Rural Costs of Living Lower? Evidence from a Big Mac Index Approach," International Regional Science Review, , vol. 41(3), pages 364-382, May.
    13. Ferdinando Monte & Stephen J. Redding & Esteban Rossi-Hansberg, 2018. "Commuting, Migration, and Local Employment Elasticities," American Economic Review, American Economic Association, vol. 108(12), pages 3855-3890, December.
    14. Takatsuka, Hajime & Zeng, Dao-Zhi, 2016. "Nontariff protection without an outside good," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 65-78.
    15. Stephen J. Redding, 2010. "The Empirics Of New Economic Geography," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 297-311, February.
    16. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    17. Andrzej Cieślik & Bartłomiej Rokicki, 2016. "Individual wages and regional market potential," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(4), pages 661-682, October.
    18. Colleta Gandidzanwa & Aart Jan Verschoor & Thabo Sacolo, 2021. "Evaluating Factors Affecting Performance of Land Reform Beneficiaries in South Africa," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    19. Ivan Muñiz & Anna Galindo & Miguel Angel García, 2005. "Descentralisation, Integration and polycentrism in Barcelona," Working Papers wpdea0512, Department of Applied Economics at Universitat Autonoma of Barcelona.
    20. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.

    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:jlands:v:12:y:2023:i:11:p:2008-:d:1272974. 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.