This paper analyzed the total factor productivity of Shandong Province and its impact on the local economic environment through Malmquist-Luenberger productivity index. The results of the paper were included as follow...This paper analyzed the total factor productivity of Shandong Province and its impact on the local economic environment through Malmquist-Luenberger productivity index. The results of the paper were included as follows. Without consideration of the environmental constraints, Index M of the total factor productivity of Shandong Province from high to low was Heze, Jinan, Qingdao, Weihai, Dongying, Zaozhuang, Jining, Tai'an, Dezhou, Liaocheng, Yantai, Zibo, Weifang, Linyi, Binzhou, Rizhao, Laiwu, among which Index M of Linyi, Binzhou, Rizhao, Laiwuwere were less than 1; taking the environmental constraints into account, Index ML of the total factor productivity of Shandong Province was reduced, from high to low was Jinan, Qingdao, Weihai, Yantai, Heze, Liaocheng, Tai'an, Weifang, Jining, Linyi, Zibo, Dongying, Zaozhuang, Rizhao, Laiwu, Binzhou, Dezhou, among which Index ML of 9 cities behind Jining were less than 1. In terms of the development mode, Jinan, Qingdao, Tai'an, Weihai, Jining and Heze were resource-conserving and environment-friendly cities; Dongying and Zaozhuang were resourceconserving and environment-polluted cities; Liaocheng, Linyi, Weifang and Yantai were resource-wasted and environment-friendly cities; Binzhou, Dezhou, Laiwu, Rizhao and Zibo were resource-wasted and environment-pol uted cities.展开更多
The paper analyzed total factor productivity of Binzhou City, and key factors that influence its economic growth and effluent discharge. The results showed that(i) production efficiency of the city during 2005–2013 k...The paper analyzed total factor productivity of Binzhou City, and key factors that influence its economic growth and effluent discharge. The results showed that(i) production efficiency of the city during 2005–2013 kept stable, mean of Malmquist-Luenberger index was 1.044,9 without considering effluent discharge, and the average annual increase rate was 4.49%, and that was 1.020,4 considering effluent discharge, the average annual increase rate was 2.04%, and the increase rate reduced by 2.45%.(ii) GDP growth showed significant negative correlation and positive correlation with capital input and energy input, but insignificant negative correlation and positive correlation with labor force input and technological progress.(iii) Effluent discharge showed insignificant negative correlation and positive correlation with capital input and energy input, but significant negative correlation and positive correlation with labor force input and technological progress.展开更多
Using input, output and pollution data of industrial enterprises in 30 Chinese provinces and municipalities from 1998 to 2005, this paper creates an environmental production frontier function model to assess China'...Using input, output and pollution data of industrial enterprises in 30 Chinese provinces and municipalities from 1998 to 2005, this paper creates an environmental production frontier function model to assess China's industrial growth sources, particularly environmental control and changes in the industrial environmental structure's impact on industrial productivity. It found that (1) at its current stage, China's rapid industrial growth is accompanied by a slow increase in pollution; (2) environmental total factor productivity has become a primary driver of rapid growth with less pollution; (3) environmental control didn't cause any substantial restraint on China's industrial growth; (4) improvement in industrial environmental structure contributes an increasingly large share to economic growth with less pollution. China's industrial productivity is increasing, its growth model is being transformed, and the environment is exerting a diminishing constraint on economic growth.展开更多
基金Sponsored by Key Research and Development Project of Shandong Province(2016GSF117021)Research Development Program of Colleges and Universities in Shandong Province(J15LD04)Scientific Research Project for Statistics of Shandong Province(2014YBXM210)
文摘This paper analyzed the total factor productivity of Shandong Province and its impact on the local economic environment through Malmquist-Luenberger productivity index. The results of the paper were included as follows. Without consideration of the environmental constraints, Index M of the total factor productivity of Shandong Province from high to low was Heze, Jinan, Qingdao, Weihai, Dongying, Zaozhuang, Jining, Tai'an, Dezhou, Liaocheng, Yantai, Zibo, Weifang, Linyi, Binzhou, Rizhao, Laiwu, among which Index M of Linyi, Binzhou, Rizhao, Laiwuwere were less than 1; taking the environmental constraints into account, Index ML of the total factor productivity of Shandong Province was reduced, from high to low was Jinan, Qingdao, Weihai, Yantai, Heze, Liaocheng, Tai'an, Weifang, Jining, Linyi, Zibo, Dongying, Zaozhuang, Rizhao, Laiwu, Binzhou, Dezhou, among which Index ML of 9 cities behind Jining were less than 1. In terms of the development mode, Jinan, Qingdao, Tai'an, Weihai, Jining and Heze were resource-conserving and environment-friendly cities; Dongying and Zaozhuang were resourceconserving and environment-polluted cities; Liaocheng, Linyi, Weifang and Yantai were resource-wasted and environment-friendly cities; Binzhou, Dezhou, Laiwu, Rizhao and Zibo were resource-wasted and environment-pol uted cities.
基金Sponsored by Binzhou Soft Science Research Program(2014RKX10)Binzhou Scientific and Technological Development Program(2013ZC1606)
文摘The paper analyzed total factor productivity of Binzhou City, and key factors that influence its economic growth and effluent discharge. The results showed that(i) production efficiency of the city during 2005–2013 kept stable, mean of Malmquist-Luenberger index was 1.044,9 without considering effluent discharge, and the average annual increase rate was 4.49%, and that was 1.020,4 considering effluent discharge, the average annual increase rate was 2.04%, and the increase rate reduced by 2.45%.(ii) GDP growth showed significant negative correlation and positive correlation with capital input and energy input, but insignificant negative correlation and positive correlation with labor force input and technological progress.(iii) Effluent discharge showed insignificant negative correlation and positive correlation with capital input and energy input, but significant negative correlation and positive correlation with labor force input and technological progress.
基金support by National Fund for Social Sciences (Project Number: 07BJY019 and 2008AJY032)Cultural and Social Sciences Fund of the Ministry of Education (Project Number: 2008JYJ059)the financial support by New Century Talent Support Program of the Ministry of Education
文摘Using input, output and pollution data of industrial enterprises in 30 Chinese provinces and municipalities from 1998 to 2005, this paper creates an environmental production frontier function model to assess China's industrial growth sources, particularly environmental control and changes in the industrial environmental structure's impact on industrial productivity. It found that (1) at its current stage, China's rapid industrial growth is accompanied by a slow increase in pollution; (2) environmental total factor productivity has become a primary driver of rapid growth with less pollution; (3) environmental control didn't cause any substantial restraint on China's industrial growth; (4) improvement in industrial environmental structure contributes an increasingly large share to economic growth with less pollution. China's industrial productivity is increasing, its growth model is being transformed, and the environment is exerting a diminishing constraint on economic growth.
