IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v9y2020i11p449-d445839.html
   My bibliography  Save this article

Identifying the Spatiotemporal Patterns of Traditional Villages in China: A Multiscale Perspective

Author

Listed:
  • Chao Wu

    (School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Miaomiao Chen

    (School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Lei Zhou

    (School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Xiaojin Liang

    (School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China)

  • Wei Wang

    (School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

Abstract

Traditional villages are important carriers of traditional cultural heritage, and they have strong historical, cultural, aesthetic and tourism value for all countries and the international community. In China, the number of traditional villages is currently decreasing each year, and the precious material and non-material heritage is at risk of disappearing in the process of urbanization. A comprehensive understanding of the spatiotemporal patterns of traditional villages on multiple scales has important significance in protecting traditional culture, revitalizing traditional villages and achieving sustainable urbanization. Therefore, the spatiotemporal characteristics of traditional villages at the city, province, and geographic zone scales are explored by a series of Geographic Information System(GIS)-based methods in this article. Specifically, the analysis units are multi-scale, the applied methods are multi-variate, and the identified patterns are multi-perspective. The results demonstrate that the distribution of traditional villages in China is unbalanced over space and time. Moreover, the different spatiotemporal distributions of traditional villages are sensitive to scales. These findings clarify differences in the corresponding geographic and environmental factors, the level of economic development and local policy support. We further suggest that exploring the effective and suitable modes of protection and rural development is necessary. The results of this article revealing the unbalanced spatiotemporal distribution of traditional villages can provide valuable suggestions and insights into alleviating regional inequality in China.

Suggested Citation

  • Chao Wu & Miaomiao Chen & Lei Zhou & Xiaojin Liang & Wei Wang, 2020. "Identifying the Spatiotemporal Patterns of Traditional Villages in China: A Multiscale Perspective," Land, MDPI, vol. 9(11), pages 1-21, November.
  • Handle: RePEc:gam:jlands:v:9:y:2020:i:11:p:449-:d:445839
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/9/11/449/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/9/11/449/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fink, Matthias & Lang, Richard & Harms, Rainer, 2013. "Local responses to global technological change — Contrasting restructuring practices in two rural communities in Austria," Technological Forecasting and Social Change, Elsevier, vol. 80(2), pages 243-252.
    2. Shalit, Haim & Yitzhaki, Shlomo, 1984. "Mean-Gini, Portfolio Theory, and the Pricing of Risky Assets," Journal of Finance, American Finance Association, vol. 39(5), pages 1449-1468, December.
    3. Giuseppe Arbia, 2001. "The role of spatial effects in the empirical analysis of regional concentration," Journal of Geographical Systems, Springer, vol. 3(3), pages 271-281, November.
    4. Hai-fan Wang & Shang-chia Chiou, 2019. "Study on the Sustainable Development of Human Settlement Space Environment in Traditional Villages," Sustainability, MDPI, vol. 11(15), pages 1-22, August.
    5. Lin Li & Lei Yang & Haihong Zhu & Rongrong Dai, 2015. "Explorative Analysis of Wuhan Intra-Urban Human Mobility Using Social Media Check-In Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-19, August.
    6. Henry G. Overman, 2004. "Can we learn anything from economic geography proper?," Journal of Economic Geography, Oxford University Press, vol. 4(5), pages 501-516, November.
    7. Yang, Di & Luan, Weixin & Qiao, Lu & Pratama, Mahardhika, 2020. "Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery," Applied Energy, Elsevier, vol. 268(C).
    8. Gao, Jing & Wu, Bihu, 2017. "Revitalizing traditional villages through rural tourism: A case study of Yuanjia Village, Shaanxi Province, China," Tourism Management, Elsevier, vol. 63(C), pages 223-233.
    9. Dinghuan Hu & Thomas Reardon & Scott Rozelle & Peter Timmer & Honglin Wang, 2004. "The Emergence of Supermarkets with Chinese Characteristics: Challenges and Opportunities for China's Agricultural Development," Development Policy Review, Overseas Development Institute, vol. 22, pages 557-586, September.
    10. Guo, Zhanfeng & Sun, Li, 2016. "The planning, development and management of tourism: The case of Dangjia, an ancient village in China," Tourism Management, Elsevier, vol. 56(C), pages 52-62.
    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. Zhongyi Nie & Ni Li & Wei Pan & Yusheng Yang & Wei Chen & Chenlei Hong, 2022. "Quantitative Research on the Form of Traditional Villages Based on the Space Gene—A Case Study of Shibadong Village in Western Hunan, China," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    2. Anqiang Jia & Xiaoxu Liang & Xuan Wen & Xin Yun & Lijian Ren & Yingxia Yun, 2023. "GIS-Based Analysis of the Spatial Distribution and Influencing Factors of Traditional Villages in Hebei Province, China," Sustainability, MDPI, vol. 15(11), pages 1-24, June.
    3. Guanhong Xie & Yuchen Zhou & Chunqing Liu, 2022. "Spatial Distribution Characteristics and Influencing Factors of Hakka Traditional Villages in Fujian, Guangdong, and Jiangxi, China," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    4. Hao Zhang & Ye Duan & Zenglin Han, 2021. "Research on Spatial Patterns and Sustainable Development of Rural Tourism Destinations in the Yellow River Basin of China," Land, MDPI, vol. 10(8), pages 1-24, August.
    5. Haoran Su & Yaowu Wang & Zhen Zhang & Wen Dong, 2022. "Characteristics and Influencing Factors of Traditional Village Distribution in China," Land, MDPI, vol. 11(10), pages 1-26, September.
    6. Liu Jin & Zongqi Wang & Xiaohong Chen, 2022. "Spatial Distribution Characteristics and Influencing Factors of Traditional Villages on the Tibetan Plateau in China," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    7. Zijie Zhou & Xin Zheng, 2022. "A Cultural Route Perspective on Rural Revitalization of Traditional Villages: A Case Study from Chishui, China," Sustainability, MDPI, vol. 14(4), pages 1-23, February.
    8. Qiao Wang & Wenwen Liu & Liang Mao, 2023. "Spatial Evolution of Traditional Village Dwellings in Heilongjiang Province," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    9. Chuanchuan Yuan & Mu Jiang, 2023. "Migration and Land Exploitation from Yuan to Qing Dynasties: Insights from 252 Traditional Villages in Hunan, China," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    10. Qinghai Zhang & Jiabei Wang, 2023. "Spatial Differentiation and Driving Factors of Traditional Villages in Jiangsu Province," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    11. Xusen Zhu & Chaofu Wei & Fengtai Zhang & Junyi Zhang & Yuedong Xiao & Xingyu Yang, 2022. "Influencing Factors of Farmers’ Land Circulation in Mountainous Chongqing in China Based on A Multi-Class Logistic Model," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
    12. Huirong Yu, 2022. "A multi-scale approach to mapping conservation priorities for rural China based on landscape context," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10803-10828, September.

    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. Zaitul Zaitul & Novianti Neva & Ilona Desi, 2022. "Village-Based Tourism Performance: Tourist Satisfaction and Revisit Intention," Polish Journal of Sport and Tourism, Sciendo, vol. 29(2), pages 36-43, June.
    2. Tie Wang & Wei Wang & Zhongjun Wu & Ching-Hui Su & Ming-Hsiang Chen, 2019. "Understanding Farm Households’ Participation in Nong Jia Le in China," Sustainability, MDPI, vol. 11(5), pages 1-18, February.
    3. Yafang Bao & Hanjing Jiang & Emily Ma & Zhi Sun & Lihua Xu, 2022. "A Longitudinal Spatial-Temporal Analysis of Ancient Village Tourism Development in Zhejiang, China," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    4. Gao, Chunliu & Cheng, Li, 2020. "Tourism-driven rural spatial restructuring in the metropolitan fringe: An empirical observation," Land Use Policy, Elsevier, vol. 95(C).
    5. Haoran Su & Yaowu Wang & Zhen Zhang & Wen Dong, 2022. "Characteristics and Influencing Factors of Traditional Village Distribution in China," Land, MDPI, vol. 11(10), pages 1-26, September.
    6. Guannan Zhu & Xiande Li & Yongxun Zhang, 2021. "Multi-Stakeholder Involvement Mechanism in Tourism Management for Maintaining Terraced Landscape in Important Agricultural Heritage Systems (IAHS) Sites: A Case Study of Dazhai Village in Longji Terra," Land, MDPI, vol. 10(11), pages 1-21, October.
    7. Zuoming Jiang & Derong Lin, 2022. "Genius Loci of Ancient Village from the Perspective of Tourists Experience: Scale Development and Validation," IJERPH, MDPI, vol. 19(8), pages 1-18, April.
    8. Xiang Gao & Zao Li & Xia Sun, 2023. "Relevance between Tourist Behavior and the Spatial Environment in Huizhou Traditional Villages—A Case Study of Pingshan Village, Yi County, China," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
    9. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    10. Lafourcade, Miren & Mion, Giordano, 2007. "Concentration, agglomeration and the size of plants," Regional Science and Urban Economics, Elsevier, vol. 37(1), pages 46-68, January.
    11. Darren Butterworth & Phil Holmes, 2005. "The Hedging Effectiveness of U.K. Stock Index Futures Contracts Using an Extended Mean Gini Approach: Evidence for the FTSE 100 and FTSE Mid250 Contracts," Multinational Finance Journal, Multinational Finance Journal, vol. 9(3-4), pages 131-160, September.
    12. Thi Xuan Thu Nguyen & Javier Revilla Diez, 2017. "Multinational enterprises and industrial spatial concentration patterns in the Red River Delta and Southeast Vietnam," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 101-138, July.
    13. Lu, Jiangyong & Tao, Zhigang, 2009. "Trends and determinants of China's industrial agglomeration," Journal of Urban Economics, Elsevier, vol. 65(2), pages 167-180, March.
    14. Rolf Sternberg, 2015. "The publication and citation behaviour of economic geographers and geographical economists compared," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 35(1), pages 1-27, February.
    15. Sylvain Barde, 2007. "Stable Partial Agglomeration in a New Economic Geography Model with Urban Frictions," Sciences Po publications 07/02, Sciences Po.
    16. Qi Mu & Fabrizio Aimar, 2022. "How Are Historical Villages Changed? A Systematic Literature Review on European and Chinese Cultural Heritage Preservation Practices in Rural Areas," Land, MDPI, vol. 11(7), pages 1-20, June.
    17. Miguel A. Márquez & Elena Lasarte & Marcelo Lufin, 2019. "The Role of Neighborhood in the Analysis of Spatial Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 245-273, January.
    18. Ortega, David L. & Wang, H. Holly & Wu, Laping & Olynk, Nicole J., 2011. "Modeling heterogeneity in consumer preferences for select food safety attributes in China," Food Policy, Elsevier, vol. 36(2), pages 318-324, April.
    19. Sheng Liu & Ming Bai & Min Yao & Ke Huang, 2021. "Identifying the natural and anthropogenic factors influencing the spatial disparity of population hollowing in traditional villages within a prefecture-level city," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.
    20. Bai, Junfei & Wahl, Thomas I. & McCluskey, Jill J., 2008. "Fluid milk consumption in urban Qingdao, China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(2), pages 1-15.

    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:9:y:2020:i:11:p:449-:d:445839. 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.