This paper for the first time proposes an empirical framework for inclusive growth, under which policy :s-efficiency and distributive impacts can both be assessed. This paper applies this framework to China :s-rural i...This paper for the first time proposes an empirical framework for inclusive growth, under which policy :s-efficiency and distributive impacts can both be assessed. This paper applies this framework to China :s-rural infrastructure and a large sample of individual-level data, providing estimates of growth and distributive impacts of physical infrastructures of telephone and tap water in rural China. They all are found to promote rural income growth, helping narrow the rural-urban gap in China. More importantly, the poorer gained more than the richer from these infrastructures, implying benign distributive effects. This paper sheds light on the positive and important role in which infrastructure plays to promote inclusive growth in rural China.展开更多
This paper assesses both interregional and intraregional innovation inequality in China from 1995 to 2006. It is revealed that the east-central-west inequality has increased over time. whereas the inter-provincial ine...This paper assesses both interregional and intraregional innovation inequality in China from 1995 to 2006. It is revealed that the east-central-west inequality has increased over time. whereas the inter-provincial inequality showed a V-pattern until 2003; Both inequality measures oscillated from 2004 to 2006. Using a deeomposition framework recently developed by one of the authors, we determined that the major factors driving innovation inequality are population, economic development level, R＆D, location and openness. The aggravated innovation inequality reflects the growth of China＇s innovation centers in the eastern region and their admission into the global innovation networks. The fact that R＆D is a major .factor driving the inequality suggests that, consMered in the present study, the efficiency of R＆D investment improved in certian regions during the period （1995-2006）. Finally, geographic, location and openness affect innovation inequality primarily through the coupled evolution of innovation capability and economic development, resulting in first-mover advantages to provinces of the eastern region.展开更多
基金funded by Bairen Program of Yunnan provincethe NSF Projects 71133004 and 71603026 of the National Natural Science Foundation of China+1 种基金Projects 2015M580055 and 2016T90048 of the China Postdoctoral Science FoundationYouth Scholars Program of Beijing Normal University
文摘This paper for the first time proposes an empirical framework for inclusive growth, under which policy :s-efficiency and distributive impacts can both be assessed. This paper applies this framework to China :s-rural infrastructure and a large sample of individual-level data, providing estimates of growth and distributive impacts of physical infrastructures of telephone and tap water in rural China. They all are found to promote rural income growth, helping narrow the rural-urban gap in China. More importantly, the poorer gained more than the richer from these infrastructures, implying benign distributive effects. This paper sheds light on the positive and important role in which infrastructure plays to promote inclusive growth in rural China.
基金UNU-WIDER and UNU-IAS for supporting the present studyThe study has been prepared within the UNU-WIDER project on Inequality and Poverty in China+2 种基金funding from the Japan Society for Promotion of Science(Research Promotion Grant:JSPS PDF # 16-04815)IPRG and CASID of Michigan State University,the Bairen Jihua(100 top scientists) Program of Yunnan Provincethe Shanghai Leading Academic Discipline Project(B101)
文摘This paper assesses both interregional and intraregional innovation inequality in China from 1995 to 2006. It is revealed that the east-central-west inequality has increased over time. whereas the inter-provincial inequality showed a V-pattern until 2003; Both inequality measures oscillated from 2004 to 2006. Using a deeomposition framework recently developed by one of the authors, we determined that the major factors driving innovation inequality are population, economic development level, R＆D, location and openness. The aggravated innovation inequality reflects the growth of China＇s innovation centers in the eastern region and their admission into the global innovation networks. The fact that R＆D is a major .factor driving the inequality suggests that, consMered in the present study, the efficiency of R＆D investment improved in certian regions during the period （1995-2006）. Finally, geographic, location and openness affect innovation inequality primarily through the coupled evolution of innovation capability and economic development, resulting in first-mover advantages to provinces of the eastern region.
