HUANG Xingling1, LIU Jianguo2
HUANG Xingling1, LIU Jianguo2
摘要： Using a heterogeneity stochastic frontier model (HSFM), we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors. The key findings of the paper lie in:1) in Beijing-Tianjin-Hebei, the overall economic and technological efficiency tended to increase in a wavelike manner, economic growth slowed down, and there was an obvious imbalance in economic efficiency between the different districts, counties and cities; 2) the heterogeneity stochastic frontier production functions (SFPFs) of Beijing, Tianjin and Hebei were different from each other, and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei; 3) economic efficiency was positively correlated with economic agglomeration, human capital, industrial structure, infrastructure, the informatization level, and institutional factors, but negatively correlated with the government role and economic opening. The following policy suggestions are offered:1) to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei, governments must reduce their intervention in economic activities, stimulate the potentials of labor and capital, optimize the structure of human resources, and foster new demographic incentives; 2) governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions, thus attaining sustainable economic development; 3) governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors (e.g., labor, resources, and innovations) across different regions, thus attaining complementary advantages between Beijing, Tianjin, and Hebei.
| Abramovitz M, 1956. Resource and Output Trends in the United States Since 1870. National Bureau of Economic Research (NBER) Chapters, 46(2):5-23. doi:10.1080/00346765700000016
Aigner D, Lovell C A K, Schmidt P, 1977. Formulation and esti-mation of stochastic frontier production function models. Journal of Econometrics, 6(1):21-37. doi:10.1016/0304-4076(77)90052-5
Akihiro O, 2017. Regional determinants of total factor productivity in Japan:stochastic frontier analysis. Annals of Regional Science, 58(3):579-596. doi:10.1007/s00168-017-0808-7
Bah E M, Brada J C, 2009. Total factor productivity growth, structural change and convergence in the new members of the European Union. Comparative Economic Studies, 51(4):421-446. doi:10.1057/ces.2009.8
Beijing Municipal Bureau of Statistics, 2004-2017. Beijing Statis-tical Yearbook (2003-2016). Beijing:China Statistical Press.
Bergeaud A, Cette G, Lecat R, 2018. The role of production factor quality and technology diffusion in twentieth-century produc-tivity growth. Cliometrica, 12(1):61-97. doi:10.1007/s11698-016-0149-2
Cai Fang, Lin Yifu, Zhang Xiaoshan et al., 2018. 40 Years of reform and opening-up and China's economic development. Economics Information, (8):4-17. (in Chinese)
Cao Xiaoshu, Liang Feiwen, Chen Huiling, 2019. Influence of different spatial forms for metropolitans on transportation network efficiency. Scientia Geographica Sinica, 39(1):41-51. (in Chinese)
Cheng Huifang, Chen Chao, 2017. A study on knowledge capital and total factor productivity under open economy:international evidence and implication for China. Economic Research Journal, 52(10):21-36. (in Chinese)
Diewert W E, Fox K J, 2018. A decomposition of US business sector TFP growth into technical progress and cost efficiency components. Journal of Productivity Analysis, 50(1-2):71-84. doi:10.1007/s11123-018-0535-9
Ehrl P, 2013. Agglomeration economies with consistent produc-tivity estimates. Regional Science and Urban Economics, 43(5):751-763. doi:10.1016/j.regsciurbeco.2013.06.002
Escribá-Pérez F J, Murgui-García M J, 2018. Technology catch-ing-up and regulation in European regions. Journal of Produc-tivity Analysis, 49(1):95-109. doi:10.1007/s11123-017-0524-4
Fleisher B, Li H Z, Zhao M Q, 2010. Human capital, economic growth, and regional inequality in China. Journal of develop-ment Economics, 92(2):215-231. doi:10.1016/j.jdeveco. 2009.01.010
Han Zenglin, Sun Jiaze, Liu Tianbao et al., 2017. The spatiotem-poral characteristics and development trend forecast of inno-vative TFP growth in China's three northeastern provinces. Scientia Geographica Sinica, 37(2):161-171. (in Chinese)
He Canfei, Zhu Xiangdong, Kong Yinghui et al., 2018. Agglom-eration economy, incentive policy and the spatial pattern of chinese computer manufacturing industry:a case study based on export data. Scientia Geographica Sinica, 38(10):1579-1588. (in Chinese)
Hebei Municipal Bureau of Statistics, 2004-2017. Hebei Statistical Yearbook (2003-2016). Beijing:China Statistical Press.
Herzer D, Donaubauer J, 2018. The long-run effect of foreign direct investment on total factor productivity in developing countries:a panel cointegration analysis. Empirical Economics, 54(2):309-342. doi:10.1007/s00181-016-1206-1
Hong Jin, Yu Wentao, Guo Xiumei et al., 2014. Creative industries agglomeration, regional innovation and productivity growth in China. Chinese Geographical Science, 24(2):258-268. doi:10.1007/s11769-013-0617-6
Huang Daquan, Wan Wei, Dai Teqi et al., 2011. Assessment of industrial land use intensity:a case study of Beijing econom-ic-technological development area. Chinese Geographical Science, 21(2):222-229. doi:10.1007/s11769-011-0459-z
Huang Jinchuan, Lin Haoxi, Chen Ming, 2017. The dynamics and empirical analysis of input and output efficiency of urban ag-glomerations in China, 2000-2013:based on the DEA model and Malmquist index method. Progress in Geography, 36(6):685-696. (in Chinese)
Keller W, 2000. Do trade patterns and technology flows affect productivity growth? The World Bank Economic Review, 14(1):17-47. doi:10.1093/wber/14.1.17
Khanna R, Sharma C, 2018. Do infrastructure and quality of gov-ernance matter for manufacturing productivity? Empirical ev-idence from the Indian states. Journal of Economic Studies, 45(4):829-854. doi:10.1108/JES-04-2017-0100
Kumbhakar S C, 2017. Do urbanization and public expenditure affect productivity growth? The case of Chinese provinces. In-dian Economic Review, 52(1-2):127-156. doi:10.1007/s41775-017-0001-z
Kuo C C, Yeh I J, Chang K W, 2010. Foreign direct investment origin and regional productivity in China:a comparison between China, U.S. and Japan. International Journal of Organizational Innovation, 2(3):372-394.
Li Ping, Fu Yifu, Zhang Yanfang, 2017a. Can the productive ser-vice industry become new momentum for China's economic growth. China Industrial Economics, (12):5-21. (in Chinese)
Li Ruzi, Liu Yaobin, Xie Dejin, 2017b. Evolution of economic efficiency and its influencing factors in the industrial structure changes in China. Acta Geographica Sinica, 72(12):2179-2198. (in Chinese)
Liu Jianguo, Li Guoping, Zhang Juntao et al., 2012. Spatial dis-tribution and its affecting factors of economy efficiency and total factor productivity in China:1990-2009. Acta Geograph-ica Sinica, 67(8):1069-1084. (in Chinese)
Liu Jianguo, Zhang Wenzhong, 2014. The spatial spillover effects of regional total factor productivity in China. Scientia Geo-graphica Sinica, 34(5):522-530. (in Chinese)
Liu Qianqian, Zhang Wenzhong, Wang Shaojian et al., 2017. Evaluating the efficiency of urban municipal public facilities and its influence on economic development in China. Geographical Research, 36(9):1627-1640. (in Chinese)
Lu Dadao, 2015. Function orientation and coordinating develop-ment of subregions within the Jing-Jin-Ji Urban Agglomeration. Progress in Geography, 34(3):265-270. (in Chinese)
Meeusen W, van den Broeck J, 1977. Efficiency estimation from Cobb-Douglas production functions with composed error. In-ternational Economic Review, 18(2):435-444. doi:10.2307/2525757
Ministry of Human Resources and Social Security of the People's Republic of China, 2004-2017. China Labor Statistical Year-book (2003-2016). Beijing:China Statistical Press.
National Bureau of Statistics, 2004-2017. China City Statistical Yearbook (2003-2016). Beijing:China Statistical Press.
National Bureau of Statistics, 2004-2017. China Statistical Year-book (2003-2016). Beijing:China Statistical Press.
National Bureau of Statistics, 2004-2017. China Statistical Year-book for Regional Economy (2003-2016). Beijing:China Statistical Press.
National Bureau of Statistics of China, 2019. China Statistical Yearbook (2018). Beijing:China Statistical Press.
Otsuka A, Goto M, 2016. Total factor productivity and the conver-gence of disparities in Japanese regions. The Annals of Regional Science, 56(2):419-432. doi:10.1007/s00168-016-0745-x
Ping Xinqiao, 2016. The relationship between market and gov-ernment in the industrial structure adjustment. Research on Economics and Management, 37(5):3-7. (in Chinese)
Ren Yangjun, Wang Chuanxu,Yu Chao, 2019. Research on spatial spillover effects of green total factor productivity in China. Soft Science, 33(4):40-43. (in Chinese)
Romer P M, 1986. Increasing returns and long-run growth. Jour-nal of Political Economy, 94(5):1002-1037. doi:10.1086/261420
Samuels J D, 2017. Assessing aggregate reallocation effects with heterogeneous inputs, and evidence across countries. Review of World Economics, 153(2):385-410. doi:10.1007/s10290-016-0273-x
Scoppa V, 2007. Quality of human and physical capital and tech-nological gaps across Italian regions. Regional Studies, 41(5):585-599. doi:10.1080/00343400601120338
Solow R M, 1956. A contribution to the theory of economic growth. Quarterly Journal of Economics, 70(1):65-94.
Tianjin Municipal Bureau of Statistics, 2004-2017. Tianjin Statis-tical Yearbook (2003-2016). Beijing:China Statistical Press.
Tong Lianjun, Song Yanan, Han Ruiling et al., 2012. Industrial environmental efficiency of costal economic belt in Liaoning Province. Scientia Geographica Sinica, 32(3):294-300. (in Chinese)
Wen M, 2004. Relocation and agglomeration of Chinese industry. Journal of Development Economics, 73(1):329-347. doi:10.1016/j.jdeveco.2003.04.001
Yin J, Tan Q M, 2019. Study on urban efficiency measurement and spatiotemporal evolution of cities in northwest China Based on the DEA-Malmquist model. Sustainability, 11(2):434. doi:10.3390/su11020434
Zhang J, Fang H, Peng B et al., 2016. Productivity growth-accounting for undesirable outputs and its influencing factors:the case of China. Sustainability, 8(11):1166. doi:10.3390/su8111166
Zhang Youxiang, Jin Zhaohuai, 2012. The output elasticity of urban land and its contribution to economic growth. Economic Theory and Business Management, (9):49-54. (in Chinese)
Zhao Ke, Xu Tangqi, Zhang Anlu, 2016. Urban land expansion, economies of scale and quality of economic growth. Journal of Natural Resources, 31(3):390-401. (in Chinese)
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|||HONG Jin, YU Wentao, GUO Xiumei, ZHAO Dingtao. Creative Industries Agglomeration, Regional Innovation and Productivity Growth in China[J]. 中国地理科学, 2014, 0(2): 258-268.|
|||CHEN Hongxia, LI Guoping. Empirical Study on Effect of Industrial Structure Change on Regional Economic Growth of Beijing-Tianjin-Hebei Metropolitan Region[J]. 中国地理科学(英文版), 2011, 21(6): 708-714.|
|||HUANG Daquan, WAN Wei, DAI Teqi, LIANG Jinshe. Assessment of Industrial Land Use Intensity: A Case Study of Beijing Economic-technological Development Area[J]. 中国地理科学(英文版), 2011, 21(2): 222-229.|
|||YU Tao-fang. STRUCTURE AND RESTRUCTURING OF BEIJING-TIANJIN-HEBEI MEGALOPOLIS IN CHINA[J]. 中国地理科学(英文版), 2006, 16(1): 1-8.|