This study analyzed the impact of land-based contaminants and tertiary industrial structure on economic development in the selected Bohai Bay area,China.Based on panel data spanning 2011-2020,a vector autoregressive(V...This study analyzed the impact of land-based contaminants and tertiary industrial structure on economic development in the selected Bohai Bay area,China.Based on panel data spanning 2011-2020,a vector autoregressive(VAR)model is used to analyze and forecast the short-run and long-run relationships between three industrial structures,pollutant discharge,and economic development.The results showed that the environmental index had a long-term cointegration relationship with the industrial structure economic index.Per capital chemical oxygen demand(PCOD)and per capita ammonia nitrogen(PNH_(3)N)had a positive impact on delta per capita GDP(dPGDP),while per capita solid waste(PSW),the secondary industry rate(SIR)and delta tertiary industry(dTIR)had a negative impact on dPGDP.The VAR model under this coupling system had stability and credibility.The impulse response results showed that the short-term effect of the coupling system on dPGDP was basically consistent with the Granger causality test results.In addition,variance decomposition was used in this study to predict the long-term impact of the coupling system in the next ten periods(i.e.,ten years).It was found that dTIR had a great impact on dPGDP,with a contribution rate as high as 74.35%in the tenth period,followed by the contribution rate of PCOD up to 3.94%,while the long-term contribution rates of PSW,SIR and PNH3N were all less than 1%.The results show that the government should support the development of the tertiary industry to maintain the vitality of economic development and prevent environmental deterioration.展开更多
Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the de...Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the development of policies related to R&D funding input.Methods Granger causality test was performed using the data of relevant indicators in different sub industries of China’s pharmaceutical industry from 1995 to 2019 based on the theory of covariance.Results and Conclusion The funding of R&D from the government had a significant positive effect on their R&D funding inputs to enterprises with chemo products,Chinese patent products,and biological products.It means the improvement of government funding was beneficial in promoting the R&D investment from various sub industries of pharmaceutical industry.The order of this influence was biological products,chemo products,and Chinese patent drugs.As to chemical drugs and biological products,the government’s R&D funding and enterprises R&D funding input showed a good trend of mutual promotion in a certain lag period.The government can fully leverage its funding to promote the investment of all sub industries of pharmaceutical industry.Meanwhile,regulatory mechanisms should be refined for government funding.For the inheritance,innovation,and development of traditional Chinese medicine,the government should give more policy support than financial support.展开更多
基金supported by the research funds for Coupling Research on Industrial Upgrade and Environmental Management in the Bohai Rim-Technique,methodology,and Environmental Economic Policies(No.42076221).
文摘This study analyzed the impact of land-based contaminants and tertiary industrial structure on economic development in the selected Bohai Bay area,China.Based on panel data spanning 2011-2020,a vector autoregressive(VAR)model is used to analyze and forecast the short-run and long-run relationships between three industrial structures,pollutant discharge,and economic development.The results showed that the environmental index had a long-term cointegration relationship with the industrial structure economic index.Per capital chemical oxygen demand(PCOD)and per capita ammonia nitrogen(PNH_(3)N)had a positive impact on delta per capita GDP(dPGDP),while per capita solid waste(PSW),the secondary industry rate(SIR)and delta tertiary industry(dTIR)had a negative impact on dPGDP.The VAR model under this coupling system had stability and credibility.The impulse response results showed that the short-term effect of the coupling system on dPGDP was basically consistent with the Granger causality test results.In addition,variance decomposition was used in this study to predict the long-term impact of the coupling system in the next ten periods(i.e.,ten years).It was found that dTIR had a great impact on dPGDP,with a contribution rate as high as 74.35%in the tenth period,followed by the contribution rate of PCOD up to 3.94%,while the long-term contribution rates of PSW,SIR and PNH3N were all less than 1%.The results show that the government should support the development of the tertiary industry to maintain the vitality of economic development and prevent environmental deterioration.
文摘Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the development of policies related to R&D funding input.Methods Granger causality test was performed using the data of relevant indicators in different sub industries of China’s pharmaceutical industry from 1995 to 2019 based on the theory of covariance.Results and Conclusion The funding of R&D from the government had a significant positive effect on their R&D funding inputs to enterprises with chemo products,Chinese patent products,and biological products.It means the improvement of government funding was beneficial in promoting the R&D investment from various sub industries of pharmaceutical industry.The order of this influence was biological products,chemo products,and Chinese patent drugs.As to chemical drugs and biological products,the government’s R&D funding and enterprises R&D funding input showed a good trend of mutual promotion in a certain lag period.The government can fully leverage its funding to promote the investment of all sub industries of pharmaceutical industry.Meanwhile,regulatory mechanisms should be refined for government funding.For the inheritance,innovation,and development of traditional Chinese medicine,the government should give more policy support than financial support.
