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Spatially varying development mechanisms in the Greater Beijing Area: a geographically weighted regression investigation

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  1. Kubiszewski, Ida & Jarvis, Diane & Zakariyya, Nabeeh, 2019. "Spatial variations in contributors to life satisfaction: An Australian case study," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
  2. Cho, Seong-Hoon & Lambert, Dayton M. & Kim, Seung Gyu & Jung, Suhyun, 2009. "Extreme coefficients in Geographically Weighted Regression and their effects on mapping," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49117, Agricultural and Applied Economics Association.
  3. Kamar Ali & Mark D. Partridge & M. Rose Olfert, 2007. "Can Geographically Weighted Regressions Improve Regional Analysis and Policy Making?," International Regional Science Review, , vol. 30(3), pages 300-329, July.
  4. Guangdong Li & Chuanglin Fang, 2014. "Analyzing the multi-mechanism of regional inequality in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 155-182, January.
  5. Stephen Matthews & Tse-Chuan Yang, 2012. "Mapping the results of local statistics," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(6), pages 151-166.
  6. Laze, Kuenda, 2014. "Identifying and understanding the patterns and processes of forest cover change in Albania and Kosovo," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 74, number 74.
  7. Cem Ertur & Julie Le Gallo, 2008. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Working Papers hal-00463274, HAL.
  8. Sven Müller, 2012. "Identifying spatial nonstationarity in German regional firm start-up data," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 113-132, September.
  9. repec:zbw:iamost:184334 is not listed on IDEAS
  10. Ferhan Gezici & Burçin Yazgı Walsh & Sinem Metin Kacar, 2017. "Regional and structural analysis of the manufacturing industry in Turkey," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 209-230, July.
  11. Yu, Danlin & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Li, Guangdong, 2021. "The varying effects of accessing high-speed rail system on China’s county development: A geographically weighted panel regression analysis," Land Use Policy, Elsevier, vol. 100(C).
  12. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
  13. Guangdong Li & Chuanglin Fang, 2018. "Spatial Econometric Analysis of Urban and County-level Economic Growth Convergence in China," International Regional Science Review, , vol. 41(4), pages 410-447, July.
  14. Elżbieta Antczak, 2020. "Regionally Divergent Patterns in Factors Affecting Municipal Waste Production: The Polish Perspective," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
  15. Cai, Ruohong & Yu, Danlin & Oppenheimer, Michael, 2014. "Estimating the Spatially Varying Responses of Corn Yields toWeather Variations using GeographicallyWeighted Panel Regression," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-23.
  16. Xiaoxi Wang & Yaojun Zhang & Danlin Yu & Xiwei Wu & Ding Li, 2022. "Changes in Demographic Factors’ Influence on Regional Productivity Growth: Empirical Evidence from China, 2000–2010," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
  17. Danlin Yu & Chuanglin Fang, 2022. "How Neighborhood Characteristics Influence Neighborhood Crimes: A Bayesian Hierarchical Spatial Analysis," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
  18. Laze, Kuenda, 2014. "Identifying and understanding the patterns and processes of forest cover change in Albania and Kosovo," Studies on the Agricultural and Food Sector in Transition Economies 184334, Institute of Agricultural Development in Transition Economies (IAMO).
  19. Latinopoulos, Dionysis, 2018. "Using a spatial hedonic analysis to evaluate the effect of sea view on hotel prices," Tourism Management, Elsevier, vol. 65(C), pages 87-99.
  20. Yingru Li & Yehua Dennis Wei, 2014. "Multidimensional Inequalities in Health Care Distribution in Provincial China: A Case Study of Henan Province," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(1), pages 91-106, February.
  21. Chuanglin Fang & Haimeng Liu & Guangdong Li & Dongqi Sun & Zhuang Miao, 2015. "Estimating the Impact of Urbanization on Air Quality in China Using Spatial Regression Models," Sustainability, MDPI, vol. 7(11), pages 1-23, November.
  22. Fan, Ruguo & Luo, Ming & Zhang, Pengfei, 2016. "A study on evolution of energy intensity in China with heterogeneity and rebound effect," Energy, Elsevier, vol. 99(C), pages 159-169.
  23. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
  24. Xian F. Bak & Geoffrey J. D. Hewings, 2019. "The heterogeneous spatial impact of foreclosures on nearby property values," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 439-466, June.
  25. Yaojun Zhang & Danlin Yu & Qiao Cen, 2019. "Investigating China's inter-prefecture migration from a place attractivity perspective, its spatial patterns, and demographic characteristics," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(34), pages 1007-1020.
  26. Носов В.В. & Цыпин А.П., 2015. "Эконометрическое Моделирование Цены Однокомнатной Квартиры Методом Географически Взвешенной Регрессии," Izvestiya of Saratov University. New Series. Series: Economics. Management. Law Известия Саратовского университета. Новая серия. Серия Экономика. Управление. Право, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Саратовский национальный исследовательский государственный университет имени Н. Г. Чернышевского», vol. 15(4), pages 381-387.
  27. José-María Montero & Román Mínguez & Gema Fernández-Avilés, 2018. "Housing price prediction: parametric versus semi-parametric spatial hedonic models," Journal of Geographical Systems, Springer, vol. 20(1), pages 27-55, January.
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