The quality of economic growth is a prominent issue in the process of economic growth worldwide.This paper builds relevant econometric models and uses the provincial panel data from 2003 to 2015 to analyze the impact ...The quality of economic growth is a prominent issue in the process of economic growth worldwide.This paper builds relevant econometric models and uses the provincial panel data from 2003 to 2015 to analyze the impact of innovation drivers on China’s economic growth.The empirical results show that technological innovation and institutional innovation have a significant role in promoting the quality of China’s economic growth,and the effect of institutional innovation is stronger than that of technological innovation.In terms of regions,the innovation driver has the greatest contribution to the quality of economic growth in the eastern region of China,with the western and central parts ranking second and third.However,the role of institutional innovation in the eastern region is prominent,and the role of technological innovation is weak.Only institutional innovation in the central region has a significant role in promoting the quality of economic growth.Only technological innovation in the western region has a positive effect on the quality of economic growth,and the impact is weak.The regional differences in the impact of innovation-driven economic growth are obvious.展开更多
Intellectual capital(IC)has become a universal performance indicator for the socioeconomic development of countries and regions.Based on a review ofnational intellectualcapital(NIC)and regional intellectualcapital(RIC...Intellectual capital(IC)has become a universal performance indicator for the socioeconomic development of countries and regions.Based on a review ofnational intellectualcapital(NIC)and regional intellectualcapital(RIC)evaluation literature,we used the regional intellectualcapitalindicator(RICI)as a model for China’s RIC evaluation to indirectly understand China’s potential economic growth drivers.Specifically,we collected statisticaldata of31 provinces(including municipalities and autonomous regions)in China from 2004 to 2016to measure RICI and analyze its dynamic characteristics from temporal and spatial perspectives.In this paper,Delphi analysis was used to construct RICI model,and cluster analysisand exploratory spatial data analysis were used to analyze the temporal and spatial characteristics of RICI in China.The results showedthat RICI,which represents China’s overall economic growth drivers,increases annuallyand is consistent with economic developmentlevelduring the study period.Regarding the geo-spatial space,RICI follows the trend of“high in the east and low in the west”,gradually decreasing from eastern to western China.ForRIC structure,the shape of the radar chart of IC structure located in the eastern coastal areas is usually biased towards strong external relational capital,while that in western China is generally biased towards structural capital.For spatial correlation,China’s RICI has dependence on geographical adjacent space and economic space.Our research can provide policy suggestions for the sustainable development of regional economy from an IC perspective.展开更多
Rapid urbanization urges the immediate attention of policymakers to ensure sustainable city development.Under-standing the urban growth drivers is essential to address effective strategies for urbanization-related cha...Rapid urbanization urges the immediate attention of policymakers to ensure sustainable city development.Under-standing the urban growth drivers is essential to address effective strategies for urbanization-related challenges.This work aims to study Raiganj’s urban development and the factors associated with this expansion.This study employed global logistic regression(LR)and geographical weighted logistic regression(GWLR)to explore the role of different factors.The results showed that the role of the central business district(covariate>-1),commercial market(covariate>-3),and police station(covariate>-4)were significant to the development of new built-up areas.In the second period,major roads(covariate>-2)and new infrastructures(covariate>-4)became more relevant,particularly in the eastern and southern areas.GWLR was more accurate in assessing the different fac-tors’impact than LR.The results obtained are essential to understanding urban expansion in India’s medium-class cities,which is critical to effective policies for sustainable urbanization.展开更多
Launched in 2002, the Beiing–Tianjin Sand Source Control Project (BTSSCP) is an ecological restoration project intended to prevent desertification in China. Evidence from multiple sources has confirmed increases in v...Launched in 2002, the Beiing–Tianjin Sand Source Control Project (BTSSCP) is an ecological restoration project intended to prevent desertification in China. Evidence from multiple sources has confirmed increases in vegetation growth in the BTSSCP region since the initiation of this project. Precipitation and essential climate variable-soil moisture (ECV-SM) conditions are typically considered to be the main drivers of vegetation growth in this region. Although many studies have investigated the inter-annual variations of vegetation growth, few concerns have been focused on the annual and seasonal variations of vegetation growth and their climatic drivers, which are crucial for understanding the relationships among the climate, vegetation, and human activities at the regional scale. Based on the normalized difference vegetation index (NDVI) derived from MODIS and the corresponding climatic data, we explored the responses of vegetation growth to climatic factors at annual and seasonal scales in the BTSSCP region during the period 2000–2014. Over the study region as a whole, NDVI generally increased from 2000 to 2014, at a rate of 0.002/a. Vegetation growth is stimulated mainly by the elevated temperature in spring, whereas precipitation is the leading driver of summer greening. In autumn, positive effects of both temperature and precipitation on vegetation growth were observed. The warming in spring promotes vegetation growth but reduces ECV-SM. Summer greening has a strong cooling effect on land surface temperature. These results indicate that the ecological and environmental consequences of ecological restoration projects should be comprehensively evaluated.展开更多
文摘The quality of economic growth is a prominent issue in the process of economic growth worldwide.This paper builds relevant econometric models and uses the provincial panel data from 2003 to 2015 to analyze the impact of innovation drivers on China’s economic growth.The empirical results show that technological innovation and institutional innovation have a significant role in promoting the quality of China’s economic growth,and the effect of institutional innovation is stronger than that of technological innovation.In terms of regions,the innovation driver has the greatest contribution to the quality of economic growth in the eastern region of China,with the western and central parts ranking second and third.However,the role of institutional innovation in the eastern region is prominent,and the role of technological innovation is weak.Only institutional innovation in the central region has a significant role in promoting the quality of economic growth.Only technological innovation in the western region has a positive effect on the quality of economic growth,and the impact is weak.The regional differences in the impact of innovation-driven economic growth are obvious.
基金This research received financial support from the National Social Science Foundationof China(13AJY004).
文摘Intellectual capital(IC)has become a universal performance indicator for the socioeconomic development of countries and regions.Based on a review ofnational intellectualcapital(NIC)and regional intellectualcapital(RIC)evaluation literature,we used the regional intellectualcapitalindicator(RICI)as a model for China’s RIC evaluation to indirectly understand China’s potential economic growth drivers.Specifically,we collected statisticaldata of31 provinces(including municipalities and autonomous regions)in China from 2004 to 2016to measure RICI and analyze its dynamic characteristics from temporal and spatial perspectives.In this paper,Delphi analysis was used to construct RICI model,and cluster analysisand exploratory spatial data analysis were used to analyze the temporal and spatial characteristics of RICI in China.The results showedthat RICI,which represents China’s overall economic growth drivers,increases annuallyand is consistent with economic developmentlevelduring the study period.Regarding the geo-spatial space,RICI follows the trend of“high in the east and low in the west”,gradually decreasing from eastern to western China.ForRIC structure,the shape of the radar chart of IC structure located in the eastern coastal areas is usually biased towards strong external relational capital,while that in western China is generally biased towards structural capital.For spatial correlation,China’s RICI has dependence on geographical adjacent space and economic space.Our research can provide policy suggestions for the sustainable development of regional economy from an IC perspective.
文摘Rapid urbanization urges the immediate attention of policymakers to ensure sustainable city development.Under-standing the urban growth drivers is essential to address effective strategies for urbanization-related challenges.This work aims to study Raiganj’s urban development and the factors associated with this expansion.This study employed global logistic regression(LR)and geographical weighted logistic regression(GWLR)to explore the role of different factors.The results showed that the role of the central business district(covariate>-1),commercial market(covariate>-3),and police station(covariate>-4)were significant to the development of new built-up areas.In the second period,major roads(covariate>-2)and new infrastructures(covariate>-4)became more relevant,particularly in the eastern and southern areas.GWLR was more accurate in assessing the different fac-tors’impact than LR.The results obtained are essential to understanding urban expansion in India’s medium-class cities,which is critical to effective policies for sustainable urbanization.
基金financially supported by the National Natural Science Foundation of China (31560135, 41361100)the Discipline Construction Fund Project of Gansu Agricultural University (GAU-XKJS-2018-104, GAU-XKJS-2018-108)the Gansu Science and Technology Support Program (1604FKCA088)
文摘Launched in 2002, the Beiing–Tianjin Sand Source Control Project (BTSSCP) is an ecological restoration project intended to prevent desertification in China. Evidence from multiple sources has confirmed increases in vegetation growth in the BTSSCP region since the initiation of this project. Precipitation and essential climate variable-soil moisture (ECV-SM) conditions are typically considered to be the main drivers of vegetation growth in this region. Although many studies have investigated the inter-annual variations of vegetation growth, few concerns have been focused on the annual and seasonal variations of vegetation growth and their climatic drivers, which are crucial for understanding the relationships among the climate, vegetation, and human activities at the regional scale. Based on the normalized difference vegetation index (NDVI) derived from MODIS and the corresponding climatic data, we explored the responses of vegetation growth to climatic factors at annual and seasonal scales in the BTSSCP region during the period 2000–2014. Over the study region as a whole, NDVI generally increased from 2000 to 2014, at a rate of 0.002/a. Vegetation growth is stimulated mainly by the elevated temperature in spring, whereas precipitation is the leading driver of summer greening. In autumn, positive effects of both temperature and precipitation on vegetation growth were observed. The warming in spring promotes vegetation growth but reduces ECV-SM. Summer greening has a strong cooling effect on land surface temperature. These results indicate that the ecological and environmental consequences of ecological restoration projects should be comprehensively evaluated.
