|||Bhagat R B, 2005. Urban growth by city and town size in India. Presented at the 2005 annual meeting of the population association of America Philadelphia Pennsylvania, March 31-April 2.|
|||Deng Xiaoxia, 2010. Comparison of rural financial system between China and India [D]. Southwestern University of Finance and Economics. (in Chinese)|
Gulati A, Fan S, 2007. The dragon and the elephant: Agricultural and rural reforms in China and India.Intl. Food Policy Res Inst.
|||Haley U C V, Haley G T, 2006. The Indian elephant and the Chinese dragon: Differing development strategies of India and China and effects on business environments.Indian Journal of Economics & Business, (Special Issue): 131-146.|
|||Huang Y, Khanna T, 2003. Can India overtake China?Foreign Policy, (137): 74.|
|||Korukonda A R, Carrillo G, Bathala Cet al., 2007. The dragon and the elephant: A comparative study of financial systems, commerce, and commonwealth in India and China.ICFAI Journal of International Business, 2(3): 7-20.|
|||Li Wenjing, Liu Hong, 2015. City size, spatial and temporal changes mechanism of urbanization in India and China.Journal of East China University of Science and Technology Social Sciences Edition, 30(5): 37-48. (in Chinese)|
Lu H, Huang H, Deva S, 2009. Unraveling the puzzle of differing rates of FDI and FVCI in India and China. Asian Journal of Comparative Law, 4(1): 207-236.
Mukherjee A, Zhang X, 2007. Rural industrialization in China and India: Role of policies and institutions.World Development, 35(10): 1621-1634.
|||Shi Bingzhan, 2011. A comparison between China’s and India’s export growth: Based on the decomposition of range, price and quantity.Contemporary Finance & Economics, (4): 94-101. (in Chinese)|
Srinivasan T N, 2006. China, India and the world economy.Economic and Political Weekly, 41(34): 3716-3727.
|||Wang Dehua, Wu Yang, 2003. Dragon and Elephant:Comparison Rapid Development between China and India in the 21st Century. Shanghai: Shanghai Academy of Social Sciences Press. (in Chinese)|
|||Wen Fude, 2016. The differences of urbanization progress in China and India and its reasons.South Asian Studies Quarterly, (2): 48-54. (in Chinese)|
|||Yang Tianyu, Liu Hehe, 2012. The change of industrial structure and the difference of labor productivity growth between China and India.World Economy, (5): 62-80. (in Chinese)|
|||Yao Guoyue, Liu Shenghua, 2015. A comparative study of land system between China and India.World Regional Studies, 24(2): 59-67. (in Chinese)|
Yeh A G O, Xu X, 1984. Provincial variation of urbanization and urban primacy in China.The Annals of Regional Science, 18(3): 1-20.
doi: 10.1007/BF01286467 pmid: 12279860
|||Zhang Minqiu, 2006. Across the Himalayan Gap:A Chinese Quest for Understanding India. Chongqing: Chongqing Press. (in Chinese)|
|||Zhou Yixing, 1995. Urban Geography. Beijing: The Commercial Press. (in Chinese)|
|||FENG Yuxue, LI Guangdong. Interaction between urbanization and eco-environment in the Tibetan Plateau [J]. Journal of Geographical Sciences, 2021, 31(2): 298-324.|
|||QI Wei, YI Jiawei. Spatial pattern and driving factors of migrants on the Qinghai-Tibet Plateau: Insights from short-distance and long-distance population migrants [J]. Journal of Geographical Sciences, 2021, 31(2): 215-230.|
|||MOU Naixia, WANG Chunying, CHEN Jinhai, YANG Tengfei, ZHANG Lingxian, LIAO Mengdi. Spatial pattern of location advantages of ports along the Maritime Silk Road [J]. Journal of Geographical Sciences, 2021, 31(1): 149-176.|
|||WEI Wei, GUO Zecheng, SHI Peiji, ZHOU Liang, WANG Xufeng, LI Zhenya, PANG Sufei, XIE Binbin. Spatiotemporal changes of land desertification sensitivity in northwest China from 2000 to 2017 [J]. Journal of Geographical Sciences, 2021, 31(1): 46-68.|
|||MA Bin, ZHANG Bo, JIA Lige. Spatio-temporal variation in China’s climatic seasons from 1951 to 2017 [J]. Journal of Geographical Sciences, 2020, 30(9): 1387-1400.|
|||LIU Xiaojing, LIU Dianfeng, ZHAO Hongzhuo, HE Jianhua, LIU Yaolin. Exploring the spatio-temporal impacts of farmland reforestation on ecological connectivity using circuit theory: A case study in the agro-pastoral ecotone of North China [J]. Journal of Geographical Sciences, 2020, 30(9): 1419-1435.|
|||WU Li, SUN Xiaoling, SUN Wei, ZHU Cheng, ZHU Tongxin, LU Shuguang, ZHOU Hui, GUO Qingchun, GUAN Houchun, XIE Wei, KE Rui, LIN Guiping. Evolution of Neolithic site distribution (9.0-4.0 ka BP) in Anhui, East China [J]. Journal of Geographical Sciences, 2020, 30(9): 1451-1466.|
|||YE Chao, LI Simeng, ZHANG Zhao, ZHU Xiaodan. A comparison and case analysis between domestic and overseas industrial parks of China since the Belt and Road Initiative [J]. Journal of Geographical Sciences, 2020, 30(8): 1266-1282.|
|||WANG Xueqin, LIU Shenghe, QI Wei. Mega-towns in China: Their spatial distribution features and growth mechanisms [J]. Journal of Geographical Sciences, 2020, 30(7): 1060-1082.|
|||YANG Fan, HE Fanneng, LI Meijiao, LI Shicheng. Evaluating the reliability of global historical land use scenarios for forest data in China [J]. Journal of Geographical Sciences, 2020, 30(7): 1083-1094.|
|||LIU Ruiqing, XU Hao, LI Jialin, PU Ruiliang, SUN Chao, CAO Luodan, JIANG Yimei, TIAN Peng, WANG Lijia, GONG Hongbo. Ecosystem service valuation of bays in East China Sea and its response to sea reclamation activities [J]. Journal of Geographical Sciences, 2020, 30(7): 1095-1116.|
|||FANG Chuanglin, CUI Xuegang, DENG Xiangzheng, LIANG Longwu. Urbanization and eco-environment coupling circle theory and coupler regulation [J]. Journal of Geographical Sciences, 2020, 30(7): 1043-1059.|
|||FANG Chuanglin, WANG Zhenbo, LIU Haimeng. Beautiful China Initiative: Human-nature harmony theory, evaluation index system and application [J]. Journal of Geographical Sciences, 2020, 30(5): 691-704.|
|||CHEN Mingxing, LIANG Longwu, WANG Zhenbo, ZHANG Wenzhong, YU Jianhui, LIANG Yi. Geographical thoughts on the relationship between ‘Beautiful China’ and land spatial planning [J]. Journal of Geographical Sciences, 2020, 30(5): 705-723.|
|||TANG Zhipeng, MEI Ziao, LIU Weidong, XIA Yan. Identification of the key factors affecting Chinese carbon intensity and their historical trends using random forest algorithm [J]. Journal of Geographical Sciences, 2020, 30(5): 743-756.|