This article explores the effects of investment upon energy intensity by applying a unique panel data of China's 27 provinces between 2004 and 2013.In addition,it also particularly stuthes other factors,such as en...This article explores the effects of investment upon energy intensity by applying a unique panel data of China's 27 provinces between 2004 and 2013.In addition,it also particularly stuthes other factors,such as energy price,economic structure,and urbanization.The results,based on four econometric regression model results,suggest that in general,the indigenous investment on research and development is a more powerful tool to decrease China's energy intensity regardless of region disparity.The foreign direct investment(FDI) has a prominent but not persistent effect on energy intensity.However,the outward direct investment has not shown its significant impact on energy intensity.At the level of an aggregate economy and China's eastern region,the results demonstrate that FDI improves energy efficiency significantly.For the central and western provinces,FDI does not support the similar conclusion.Based on these analyses,we present the corresponding regional policies for policymakers.展开更多
By introducing a knowledge production function which combines both foreign technology imports and domestic research and development （R＆D） expenditure into an endogenous technological progress model, this paper exam...By introducing a knowledge production function which combines both foreign technology imports and domestic research and development （R＆D） expenditure into an endogenous technological progress model, this paper examines the mechanism that determines enterprises＇ R＆D intensity in developing countries, and explores how factors such as technological gap, technology absorptive capacity, innovation environment and innovation ability would impact Chinese enterprises＇decision made on R＆D intensity. Our results suggest that technological gap has no significant single impact on enterprises＇R＆D intensity, but rather influences enterprises＇decision on R＆D jointly with other factors such as degree of openness and human capital. A relative fall in efficiency of technology imitation recently has a negative effect on total R＆D intensity but helps to promote enterprises＇ independent R＆D. In addition, among factors related to R＆D innovation environment, industrial R＆D intensity has a significantly positive impact on enterprises＇ independent R＆D intensity, while regional economies of scale, proportion of large enterprises and proportion of government R＆D investment have some certain negative impacts.展开更多
基金supported by the Fundamental Research Funds for the Central Universities:[Grant Number JBK1607K05]
文摘This article explores the effects of investment upon energy intensity by applying a unique panel data of China's 27 provinces between 2004 and 2013.In addition,it also particularly stuthes other factors,such as energy price,economic structure,and urbanization.The results,based on four econometric regression model results,suggest that in general,the indigenous investment on research and development is a more powerful tool to decrease China's energy intensity regardless of region disparity.The foreign direct investment(FDI) has a prominent but not persistent effect on energy intensity.However,the outward direct investment has not shown its significant impact on energy intensity.At the level of an aggregate economy and China's eastern region,the results demonstrate that FDI improves energy efficiency significantly.For the central and western provinces,FDI does not support the similar conclusion.Based on these analyses,we present the corresponding regional policies for policymakers.
基金This study has been supported by “Research on Chinese Enterprises＇ R＆D Efficiency and Its Influencing Factors” under National Natural Science Foundation of China （70902002）, “Research on Beijing Enterprises＇ R＆D Efficiency and Its Influencing Factors： Analysis Based on Cutting-edge” under Beijing Natural Science Foundation （9102019）, together with “Program for New Century Excellent Talents in University” under the Ministry of Education and Key Project under the “211 Project” for Central University of Finance and Economics.
文摘By introducing a knowledge production function which combines both foreign technology imports and domestic research and development （R＆D） expenditure into an endogenous technological progress model, this paper examines the mechanism that determines enterprises＇ R＆D intensity in developing countries, and explores how factors such as technological gap, technology absorptive capacity, innovation environment and innovation ability would impact Chinese enterprises＇decision made on R＆D intensity. Our results suggest that technological gap has no significant single impact on enterprises＇R＆D intensity, but rather influences enterprises＇decision on R＆D jointly with other factors such as degree of openness and human capital. A relative fall in efficiency of technology imitation recently has a negative effect on total R＆D intensity but helps to promote enterprises＇ independent R＆D. In addition, among factors related to R＆D innovation environment, industrial R＆D intensity has a significantly positive impact on enterprises＇ independent R＆D intensity, while regional economies of scale, proportion of large enterprises and proportion of government R＆D investment have some certain negative impacts.
