Based on the panel data of 248 prefecture-level cities in China from 2011-2021,a PVAR model is constructed to empirically compare and analyze the impact of national and regional digital economy development on industri...Based on the panel data of 248 prefecture-level cities in China from 2011-2021,a PVAR model is constructed to empirically compare and analyze the impact of national and regional digital economy development on industrial structure upgrading.The results show that:from the national level,the development of the digital economy can significantly promote the upgrading of industrial structure,the degree of influence rises and then decreases,and lasts longer;the upgrading of industrial structure also affects the development of the digital economy,and the influence changes from negative to positive;there is a long-term,continuous,and significant dynamic effect between the digital economy and the transformation and upgrading of industrial structure,and the two affect each other.From the perspective of each region,the impact of digital economy development on industrial structure upgrading is somewhat different.The industrial structure in the western region is the most sensitive to the digital economy changes,followed by the eastern region and the weakest in the central region.However,the industrial structure upgrading in all regions is significantly and positively influenced by the development of the digital economy.展开更多
Mining industrial areas with anthropogenic engineering structures are one of the most distinctive features of the real world.3D models of the real world have been increasingly popular with numerous applications,such a...Mining industrial areas with anthropogenic engineering structures are one of the most distinctive features of the real world.3D models of the real world have been increasingly popular with numerous applications,such as digital twins and smart factory management.In this study,3D models of mining engineering structures were built based on the CityGML standard.For collecting spatial data,the two most popular geospatial technologies,namely UAV-SfM and TLS were employed.The accuracy of the UAV survey was at the centimeter level,and it satisfied the absolute positional accuracy requirement of creat-ing all levels of detail(LoD)according to the CityGML standard.Therefore,the UAV-SfM point cloud dataset was used to build LoD 2 models.In addition,the comparison between the UAV-SfM and TLS sub-clouds of facades and roofs indicates that the UAV-SfM and TLS point clouds of these objects are highly consistent,therefore,point clouds with a higher level of detail and accuracy provided by the integration of UAV-SfM and TLS were used to build LoD 3 models.The resulting 3D CityGML models include 39 buildings at LoD 2,and two mine shafts with hoistrooms,headframes,and sheave wheels at LoD3.展开更多
Based on the panel data of 30 provinces, municipalities, and autonomous regions in China from 2011 to 2018, this paper uses the digital inclusive financial index and industrial structure upgrading coefficient of the I...Based on the panel data of 30 provinces, municipalities, and autonomous regions in China from 2011 to 2018, this paper uses the digital inclusive financial index and industrial structure upgrading coefficient of the Internet Research Center of Peking University as the core explanatory and explained variables to construct a spatial panel. Bin model performs </span><span style="font-family:Verdana;">regression</span><span style="font-family:Verdana;"> analysis on the effect of digital inclusive finance in the upgrading of industrial structure. The results prove that the development of digital inclusive finance in this province and city has significantly promoted the upgrading of the regional industrial structure, and it has a positive overall effect on the upgrading of industrial structure.展开更多
Scarcity of land resources and transformation of industrial structure is a pair of contradictory elements.We derive the characteristics of land use structure and industrial structure transformation in Xining City usin...Scarcity of land resources and transformation of industrial structure is a pair of contradictory elements.We derive the characteristics of land use structure and industrial structure transformation in Xining City using Transformation Coefficient(TC):first,in the period 1999-2000,the land use structure coefficient(θ1) declined by 79.55%,but the overall evolution trend is gentle;second,the transformation coefficient of industrial structure(θ2) tended to decline ceaselessly on the whole,a decrease of 36.09%(overall,the transformation coefficient of industrial structure is slightly greater than the land use structure coefficient);third,the inter-annual variation of the two experienced ups and downs(in the period 1999-2007,the inter-annual variation was great and in the period 2008-2010,the inter-annual variation tended to be gentle).On the basis of autocorrelation and co-integration model,we draw the following conclusions through analysis:first,the land use structure in Xining City plays a role in promoting industrial structure transformation;second,there is a long-term equilibrium relationship between the two.Finally,relevant policy recommendations are put forward for the industrial development in Xining City.展开更多
This paper uses the mediation effect and a spatial panel model using panel data from 30 provinces in China from 2011 to 2019 to study the relationship between the digital economy,industrial structure,and carbon emissi...This paper uses the mediation effect and a spatial panel model using panel data from 30 provinces in China from 2011 to 2019 to study the relationship between the digital economy,industrial structure,and carbon emission.The research results show that the development of digital economy can effectively promote the reduction of carbon emissions.The development of the digital economy has a significant role in promoting the rationalization of the industrial structure.The digital economy not only directly suppresses carbon emissions,but also indirectly has a significant inhibitory effect on carbon emissions by promoting the rationalization and improvement of the industrial structure.The development of the digital economy suppresses the optimization of the industrial structure.The improvement of industrialization has hindered the industrialization process.It is necessary to strengthen research and development into digital technology and enhance the capacity of the digital economy to promote carbon emissions reduction.展开更多
This paper investigates the spatial effect of environmental regulation measures on the upgrading of industrial structure in the integrated development strategy of Beijing-Tianjin-Hebei region and its surrounding areas...This paper investigates the spatial effect of environmental regulation measures on the upgrading of industrial structure in the integrated development strategy of Beijing-Tianjin-Hebei region and its surrounding areas.In order to reflect the effect of the environmental regulation and different regulation measures more truly,this paper constructs indices of the environmental regulation measures through the results of policy texts quantification.On the basis of the previous research,this paper divides environmental regulation into the following types:personnel and administrative measures of command and control;market-oriented fiscal,taxation,financial and other economic measures;guidance measures.Spatial panel regression results show that administrative measures of command control and market-oriented fiscal measures have a significant role in promoting regional industrial structure upgrading,but not conducive to the advancement of the industrial structure of adjacent areas.Their roles in promoting and inhibition are counteracted,which causes the total effect of industrial structure upgrading of Beijing-Tianjin-Hebei and the surrounding areas are not significant.Personnel measures,financial measures,other economic measures and guidance measures do not have the short-term effect and spatial effect on the upgrading of industrial structure.展开更多
By using the dynamic shift-share analysis, the industrial structure and competitive strength of 31 provincial districts except Taiwan, Hong Kong and Macao are studied by taking the GDP of the three industries as the r...By using the dynamic shift-share analysis, the industrial structure and competitive strength of 31 provincial districts except Taiwan, Hong Kong and Macao are studied by taking the GDP of the three industries as the research entrance and the whole nation as the reference district. The industrial structure and competitive strength of each provincial district is measured. Through the analysis of pertinence, the correlation degree of industrial structure and industrial competitive strength to economic growth is analyzed. The results show that the industrial competitive strength is closely related to the economic growth of the 31 provincial districts, but the contribution made by the industrial structure to economic growth is insufficient and the effect of industrial structure does not match with that of industrial competitive strength. According to industrial competitiveness and industrial structure effect, 31 provincial districts of the whole nation are divided into 4 types and the relevant countermeasures of the four types are put forward.展开更多
Although a number of studies have been published in the general area on various factors affecting the ecologicalization of urban industrial structure,little work has been carried out for empirical studies quantitative...Although a number of studies have been published in the general area on various factors affecting the ecologicalization of urban industrial structure,little work has been carried out for empirical studies quantitatively analyzing the relevance between green finance development and the ecologicalization of urban industrial structure.Therefore,based on a comprehensive index of green finance development,this research employs panel data of target cities1 for the period 2012–2020 to explore the influence of green finance on the ecologicalization of urban industrial structure.The empirical results show that green finance development significantly improves the ecologicalization level of urban industrial structure.In addition,it is found that green finance plays a stronger role in promoting the ecologicalization of industrial structure in economically developed regions than in economically underdeveloped regions2.The research results can provide a valuable policy reference for urban green financial market planning and green product innovation.展开更多
Based on the inter-provincial panel data for 31 provinces in China from 2000 to 2019,and incorporating geospatial factors,a spatial panel vector autoregressive(SPVAR)model consisting of population mobility,industrial ...Based on the inter-provincial panel data for 31 provinces in China from 2000 to 2019,and incorporating geospatial factors,a spatial panel vector autoregressive(SPVAR)model consisting of population mobility,industrial structure upgrading,and economic growth is constructed.The space-time impulse response function is used to analyze the space-time conduction of exogenous variables on the impact of three endogenous variables.The study found that first,the population influx barely benefited the industrial structure upgrading and economic growth.Second,the upgrading of the industrial structure would aggravate the population mobility in the province,causing low-level laborers to leave the province in shortterm,but in long-term,there would be influx of talents.Third,the economic growth in developed regions plays a significant role in promoting the industrial development of their province and population-rich provinces,but it has less impact on provinces with high-level industrial structure.Finally,policy recommendations are provided in regard to the benign interaction among population mobility,industrial structure upgrading,and economic growth in addition to clarifying the idea of economic development,implementing correct population policies,and promoting the coordinated regional development.展开更多
Optimizing the allocation of water resources is critical for promoting the optimization and upgrading of industrial structure and coordinated development in the Beijing-Tianjin-Hebei regions of China.Based on specific...Optimizing the allocation of water resources is critical for promoting the optimization and upgrading of industrial structure and coordinated development in the Beijing-Tianjin-Hebei regions of China.Based on specific regional and water conditions,to strengthen the constraints on water resources,the“three-step”adaptive management approach of“scheme design-scheme diagnosis-scheme optimization”of water resource allocation are adopted to facilitate the coordinated optimal allocation of water resources and industrial structure in the Beijing-Tianjin-Hebei regions.First,from the level of overall industry,a water resource allocation scheme for the regions is designed by applying the master-slave hierarchical mode and a bi-level optimal model to determine the ideal amount of water resource allocation for the regions and respective industries.Second,the diagnostic criteria of spatial balance,structural matching,and coordinated development are constructed to determine the rationality of the water resource allocation scheme.Then a benefit compensation function with water market transactions is developed,to adaptively adjust the water resource allocation scheme.Finally,the optimization and upgrading of industrial structure are promoted to improve water consumption efficiency and the coordinated development of the Beijing-Tianjin-Hebei regions.The study can provide reference for the Beijing-Tianjin-Hebei regions to realize the comprehensive optimal allocation of water resources in the regions and improve the adaptability of water resources and industrial structure optimization.展开更多
An in-depth study of the energy related carbon emissions has important practical significance for carbon emissions reduction and structural adjustment in Shandong Province and throughout China.Based on the perspective...An in-depth study of the energy related carbon emissions has important practical significance for carbon emissions reduction and structural adjustment in Shandong Province and throughout China.Based on the perspective of industrial structure,the expanded KAYA equation to measure the energy related carbon emissions of the primary industries(Resources and Agriculture)and secondary industries(Manufacturing and Construction)and tertiary industries(Retail and Service)was utilized in Shandong Province from 2011 to 2017.The carbon emissions among industries in Shandong Province were empirically analyzed using the Logarithmic Mean Divisia Index decomposition approach.The results were follows:(1)Under the three industrial dimensions,the energy structure effect and the energy intensity effect have a restraining influence on the carbon emissions of the three industries.(2)The development level effect and the employment scale effect play a pulling role in carbon emissions.(3)From the perspective of the employment structure effect of the primary industry,there is a restraining effect on carbon emissions,while the employment structure effects of the secondary and tertiary industries play a pulling role in carbon emissions,and the employment structure effect of the tertiary industry has a greater pulling effect on carbon emissions than the secondary industry.展开更多
Of its total export volume,the proportion of China’s new andhigh technology products and highvalue-added products is extremelylow. Its pure technological exportrate is only 2 percent of the total.Therefore,along with...Of its total export volume,the proportion of China’s new andhigh technology products and highvalue-added products is extremelylow. Its pure technological exportrate is only 2 percent of the total.Therefore,along with thetransformation of the mode ofgrowth of China’s nationaleconomy, a corresponding growthmode transformation should takeplace in its foreign trade sector,and it is necessary to achieve asignificant change in its importand export product mix.展开更多
In this paper, the effect of the mediation effect is mainly used to test and analyze the regression model, and most scholars have studied the impact of the modernization of the industrial structure on the income gap. ...In this paper, the effect of the mediation effect is mainly used to test and analyze the regression model, and most scholars have studied the impact of the modernization of the industrial structure on the income gap. However, this paper is from another perspective, based on the social background of high-quality development, the main study is the impact mechanism of urban and rural income gap on the industrial structure, taking the Yangtze River Delta as the main research object, and specifically selecting 22 central cities in the Yangtze River Delta region, which is also one of the highlights of this study. The regression model is constructed by using the intermediary effect, and the four intermediary variables of fiscal expenditure (M<sub>1</sub>), fixed asset investment (M<sub>2</sub>), number of patent applications (M<sub>3</sub>), and total import and export (M<sub>4</sub>) are selected, which represent the role of the government, fixed asset investment, scientific and technological level and opening-up level, and study and analyze the inherent influence mechanism between each variable. Before doing specific research, I consulted the papers and literature of many other outstanding scholars, among which Cheng Yuhong and Cheng Chi’s “The Influence Mechanism of industrial structure of urban and rural income gap” [1] has great reference value for this paper. According to the research results, under the background of high-quality development in the Yangtze River Delta region, the expansion of the income gap between urban and rural areas will inhibit the upgrading of the industrial structure, so it is necessary to focus on building a new type of urbanization, accelerating the construction of an urban innovation system, optimizing the rural employment structure to narrow the income gap between urban and rural areas, and providing impetus for the continuous upgrading of the industrial structure.展开更多
Since the Reform and Opening-up in 1978,China’s economy,society and other fields have developed very rapidly.Economic growth has achieved leapfrog development,and the three industries have achieved great development,...Since the Reform and Opening-up in 1978,China’s economy,society and other fields have developed very rapidly.Economic growth has achieved leapfrog development,and the three industries have achieved great development,but the overall industrial structure needs to be improved.At present,China’s economy has entered the“New Normal”.In order to achieve“Sound and Rapid”economic development,it is imperative to transform the industrial structure.Using econometric analysis and based on China’s economic data from 1978 to 2020,this paper explores the different impacts of three industrial sectors on economic growth.Thus it analyzes the internal mechanism of China’s economic growth.It is concluded that the contribution of the tertiary industry to the national GDP is the largest,the level of secondary industry is medium,and the primary industry is the smallest.Finally,according to the calculation results,this paper puts forward corresponding suggestions for the optimization of China’s industrial structure,in order to achieve sound and rapid development of the national economy.展开更多
Confronting the contradiction between the rapid development of economy and the effective protection of environment, and developing low carbon economy by optimizing the industrial structure have become one of the effec...Confronting the contradiction between the rapid development of economy and the effective protection of environment, and developing low carbon economy by optimizing the industrial structure have become one of the effective way to attract more attention. In the paper, we made a research on the correlation between china's three main industries and carbon emission intensity to find out the main factors which affect the intensity of carbon emission in China by measuring the gross emission in china's 28 main provinces in 2003-2013 and using Grey correlation analysis based on the change tendency. The results indicate that the second industry has the largest correlation with carbon emission intensity; the tertiary industry helps reduce the intensity of carbon emission, but it is not very obvious; the first industry has the least impact on carbon emission intensity. In the last part, according to the characteristics of industrial structure and carbon emission, we put forward the suggestions and strategies on the adjustment of china's industrial structure in future with the results analysis.展开更多
A necessary condition for realizing macroeconomics is to rationally upgrade the industrial structure.In this process of upgrading,financial capital deepening and technological progress are important ways to promote th...A necessary condition for realizing macroeconomics is to rationally upgrade the industrial structure.In this process of upgrading,financial capital deepening and technological progress are important ways to promote the upgrading of industrial structure.From an endogenous perspective,this essay explores the internal links between financial capital deepening,technological progress,and industrial structure upgrading.The analysis shows that factors of technological progress have not make a tremendous impact on the upgrading of Chinese industrial structure,nor are they a positive reason for promoting the development of the industry to a higher level.The deepening of financial capital obviously promotes the optimization and upgrading of industrial institutions,which is its main factor.展开更多
Firstly,this paper conducts theoretical analysis and current situation analysis,and then proposes research hypotheses.Secondly,using spatial Dubin model and partial differential method,it empirically studies the impac...Firstly,this paper conducts theoretical analysis and current situation analysis,and then proposes research hypotheses.Secondly,using spatial Dubin model and partial differential method,it empirically studies the impact of industrial structure advancement and rationalization on the urban-rural income gap.The results show that:(1)Both industrial structure and urban-rural income gap have significant spatial dependence;(2)The increase in the industrial structure rationalization will narrow the urban-rural income gap in local region,while its spillover effect on neighboring areas is not obvious.(3)The impact of the industrial structure advancement on the urban-rural income gap is not linear.It is first expanded and then narrowed.The industrial structure advancement in the Yangtze River Delta will generally narrow the urban-rural income gap at this stage.Finally,this paper put forward relevant suggestions.展开更多
This paper uses the panel data of 17 cities in Shandong Province from 2003 to 2018 to construct a panel model to empirically study the impact of foreign direct investment(FDI)on the industrial structure.The results sh...This paper uses the panel data of 17 cities in Shandong Province from 2003 to 2018 to construct a panel model to empirically study the impact of foreign direct investment(FDI)on the industrial structure.The results show that two-way investment,financial industry development,and policy variables have significant roles in promoting the advancement of the industrial structure in the province.In the future implementation of the“Going Global”strategy in Shandong Province,the cooperation between two-way investment and the financial industry should be strengthened,the level of regional financial development should be improved,and the impact of two-way investment on the optimization and upgrading of the industrial structure should be reinforced.展开更多
文摘Based on the panel data of 248 prefecture-level cities in China from 2011-2021,a PVAR model is constructed to empirically compare and analyze the impact of national and regional digital economy development on industrial structure upgrading.The results show that:from the national level,the development of the digital economy can significantly promote the upgrading of industrial structure,the degree of influence rises and then decreases,and lasts longer;the upgrading of industrial structure also affects the development of the digital economy,and the influence changes from negative to positive;there is a long-term,continuous,and significant dynamic effect between the digital economy and the transformation and upgrading of industrial structure,and the two affect each other.From the perspective of each region,the impact of digital economy development on industrial structure upgrading is somewhat different.The industrial structure in the western region is the most sensitive to the digital economy changes,followed by the eastern region and the weakest in the central region.However,the industrial structure upgrading in all regions is significantly and positively influenced by the development of the digital economy.
基金his research was funded by Hanoi university of Mining and Geology,Grant Number T22-47.
文摘Mining industrial areas with anthropogenic engineering structures are one of the most distinctive features of the real world.3D models of the real world have been increasingly popular with numerous applications,such as digital twins and smart factory management.In this study,3D models of mining engineering structures were built based on the CityGML standard.For collecting spatial data,the two most popular geospatial technologies,namely UAV-SfM and TLS were employed.The accuracy of the UAV survey was at the centimeter level,and it satisfied the absolute positional accuracy requirement of creat-ing all levels of detail(LoD)according to the CityGML standard.Therefore,the UAV-SfM point cloud dataset was used to build LoD 2 models.In addition,the comparison between the UAV-SfM and TLS sub-clouds of facades and roofs indicates that the UAV-SfM and TLS point clouds of these objects are highly consistent,therefore,point clouds with a higher level of detail and accuracy provided by the integration of UAV-SfM and TLS were used to build LoD 3 models.The resulting 3D CityGML models include 39 buildings at LoD 2,and two mine shafts with hoistrooms,headframes,and sheave wheels at LoD3.
文摘Based on the panel data of 30 provinces, municipalities, and autonomous regions in China from 2011 to 2018, this paper uses the digital inclusive financial index and industrial structure upgrading coefficient of the Internet Research Center of Peking University as the core explanatory and explained variables to construct a spatial panel. Bin model performs </span><span style="font-family:Verdana;">regression</span><span style="font-family:Verdana;"> analysis on the effect of digital inclusive finance in the upgrading of industrial structure. The results prove that the development of digital inclusive finance in this province and city has significantly promoted the upgrading of the regional industrial structure, and it has a positive overall effect on the upgrading of industrial structure.
基金Supported by National Natural Science Foundation Project(41101098)Youth Project of Xianning University(KY10044,KY10043)
文摘Scarcity of land resources and transformation of industrial structure is a pair of contradictory elements.We derive the characteristics of land use structure and industrial structure transformation in Xining City using Transformation Coefficient(TC):first,in the period 1999-2000,the land use structure coefficient(θ1) declined by 79.55%,but the overall evolution trend is gentle;second,the transformation coefficient of industrial structure(θ2) tended to decline ceaselessly on the whole,a decrease of 36.09%(overall,the transformation coefficient of industrial structure is slightly greater than the land use structure coefficient);third,the inter-annual variation of the two experienced ups and downs(in the period 1999-2007,the inter-annual variation was great and in the period 2008-2010,the inter-annual variation tended to be gentle).On the basis of autocorrelation and co-integration model,we draw the following conclusions through analysis:first,the land use structure in Xining City plays a role in promoting industrial structure transformation;second,there is a long-term equilibrium relationship between the two.Finally,relevant policy recommendations are put forward for the industrial development in Xining City.
文摘This paper uses the mediation effect and a spatial panel model using panel data from 30 provinces in China from 2011 to 2019 to study the relationship between the digital economy,industrial structure,and carbon emission.The research results show that the development of digital economy can effectively promote the reduction of carbon emissions.The development of the digital economy has a significant role in promoting the rationalization of the industrial structure.The digital economy not only directly suppresses carbon emissions,but also indirectly has a significant inhibitory effect on carbon emissions by promoting the rationalization and improvement of the industrial structure.The development of the digital economy suppresses the optimization of the industrial structure.The improvement of industrialization has hindered the industrialization process.It is necessary to strengthen research and development into digital technology and enhance the capacity of the digital economy to promote carbon emissions reduction.
基金We are grateful to the financial support from the National Natural Science Foundation of China[Grant number:71874074,Grant number:71433005,Grant number:71804063]Humanities and Social Science Fund of Ministry of Education of China[Grant number:18YJC630208,Grant number:19YJC810007]。
文摘This paper investigates the spatial effect of environmental regulation measures on the upgrading of industrial structure in the integrated development strategy of Beijing-Tianjin-Hebei region and its surrounding areas.In order to reflect the effect of the environmental regulation and different regulation measures more truly,this paper constructs indices of the environmental regulation measures through the results of policy texts quantification.On the basis of the previous research,this paper divides environmental regulation into the following types:personnel and administrative measures of command and control;market-oriented fiscal,taxation,financial and other economic measures;guidance measures.Spatial panel regression results show that administrative measures of command control and market-oriented fiscal measures have a significant role in promoting regional industrial structure upgrading,but not conducive to the advancement of the industrial structure of adjacent areas.Their roles in promoting and inhibition are counteracted,which causes the total effect of industrial structure upgrading of Beijing-Tianjin-Hebei and the surrounding areas are not significant.Personnel measures,financial measures,other economic measures and guidance measures do not have the short-term effect and spatial effect on the upgrading of industrial structure.
文摘By using the dynamic shift-share analysis, the industrial structure and competitive strength of 31 provincial districts except Taiwan, Hong Kong and Macao are studied by taking the GDP of the three industries as the research entrance and the whole nation as the reference district. The industrial structure and competitive strength of each provincial district is measured. Through the analysis of pertinence, the correlation degree of industrial structure and industrial competitive strength to economic growth is analyzed. The results show that the industrial competitive strength is closely related to the economic growth of the 31 provincial districts, but the contribution made by the industrial structure to economic growth is insufficient and the effect of industrial structure does not match with that of industrial competitive strength. According to industrial competitiveness and industrial structure effect, 31 provincial districts of the whole nation are divided into 4 types and the relevant countermeasures of the four types are put forward.
基金supported by Shandong Province Key Research and Development Program(Soft Science Project)(No.2021RKY01007).
文摘Although a number of studies have been published in the general area on various factors affecting the ecologicalization of urban industrial structure,little work has been carried out for empirical studies quantitatively analyzing the relevance between green finance development and the ecologicalization of urban industrial structure.Therefore,based on a comprehensive index of green finance development,this research employs panel data of target cities1 for the period 2012–2020 to explore the influence of green finance on the ecologicalization of urban industrial structure.The empirical results show that green finance development significantly improves the ecologicalization level of urban industrial structure.In addition,it is found that green finance plays a stronger role in promoting the ecologicalization of industrial structure in economically developed regions than in economically underdeveloped regions2.The research results can provide a valuable policy reference for urban green financial market planning and green product innovation.
基金This work was supported by 2021 Jiangxi University of Finance and Economics Student Innovation Training Program(No.202110421068).
文摘Based on the inter-provincial panel data for 31 provinces in China from 2000 to 2019,and incorporating geospatial factors,a spatial panel vector autoregressive(SPVAR)model consisting of population mobility,industrial structure upgrading,and economic growth is constructed.The space-time impulse response function is used to analyze the space-time conduction of exogenous variables on the impact of three endogenous variables.The study found that first,the population influx barely benefited the industrial structure upgrading and economic growth.Second,the upgrading of the industrial structure would aggravate the population mobility in the province,causing low-level laborers to leave the province in shortterm,but in long-term,there would be influx of talents.Third,the economic growth in developed regions plays a significant role in promoting the industrial development of their province and population-rich provinces,but it has less impact on provinces with high-level industrial structure.Finally,policy recommendations are provided in regard to the benign interaction among population mobility,industrial structure upgrading,and economic growth in addition to clarifying the idea of economic development,implementing correct population policies,and promoting the coordinated regional development.
基金supported by the Humanities and Social Science Foundation of Ministry of Education“Research on the Optimal Adaptability of Basin Initial Water Rights and Industrial Structures under the Rigid Constraints of Water Resource”[Grant number.21YJCZH176]Beijing Municipal Natural Science Foundation of China“Research on Bi-directional Optimal Adaptability of Water Resource and Industrial Structures under the Coordinated Development of the Beijing-Tianjin-Hebei Region”(Grant number.9202005)+1 种基金the Humanities and Social Science Foundation of Ministry of Education“Research on Complex System Model of Industrial Water Rights Trading Based on Experimental Economics and Dynamic Simulation under Dual Control Action”[Grant number.20YJCZH095]General Projects of Social Science Plan of Beijing Municipal Education Commission[Grant number.SM201910009007].
文摘Optimizing the allocation of water resources is critical for promoting the optimization and upgrading of industrial structure and coordinated development in the Beijing-Tianjin-Hebei regions of China.Based on specific regional and water conditions,to strengthen the constraints on water resources,the“three-step”adaptive management approach of“scheme design-scheme diagnosis-scheme optimization”of water resource allocation are adopted to facilitate the coordinated optimal allocation of water resources and industrial structure in the Beijing-Tianjin-Hebei regions.First,from the level of overall industry,a water resource allocation scheme for the regions is designed by applying the master-slave hierarchical mode and a bi-level optimal model to determine the ideal amount of water resource allocation for the regions and respective industries.Second,the diagnostic criteria of spatial balance,structural matching,and coordinated development are constructed to determine the rationality of the water resource allocation scheme.Then a benefit compensation function with water market transactions is developed,to adaptively adjust the water resource allocation scheme.Finally,the optimization and upgrading of industrial structure are promoted to improve water consumption efficiency and the coordinated development of the Beijing-Tianjin-Hebei regions.The study can provide reference for the Beijing-Tianjin-Hebei regions to realize the comprehensive optimal allocation of water resources in the regions and improve the adaptability of water resources and industrial structure optimization.
基金supported by the National Natural Science Foundation of China under Grants 71804089 and 71771138Humanities and Social Sciences Youth Foundation of Ministry of Education of China under Grants 18YJCZH034 and 19YJC790128+2 种基金Jiangsu Post-doctoral Research Funding Plan(2018K195C)Natural Science Foundation of Shandong Province,China under Grant ZR2018LG003Social Science Planning Project Foundation of Shandong Province,China under Grant 16CGLJ09.
文摘An in-depth study of the energy related carbon emissions has important practical significance for carbon emissions reduction and structural adjustment in Shandong Province and throughout China.Based on the perspective of industrial structure,the expanded KAYA equation to measure the energy related carbon emissions of the primary industries(Resources and Agriculture)and secondary industries(Manufacturing and Construction)and tertiary industries(Retail and Service)was utilized in Shandong Province from 2011 to 2017.The carbon emissions among industries in Shandong Province were empirically analyzed using the Logarithmic Mean Divisia Index decomposition approach.The results were follows:(1)Under the three industrial dimensions,the energy structure effect and the energy intensity effect have a restraining influence on the carbon emissions of the three industries.(2)The development level effect and the employment scale effect play a pulling role in carbon emissions.(3)From the perspective of the employment structure effect of the primary industry,there is a restraining effect on carbon emissions,while the employment structure effects of the secondary and tertiary industries play a pulling role in carbon emissions,and the employment structure effect of the tertiary industry has a greater pulling effect on carbon emissions than the secondary industry.
文摘Of its total export volume,the proportion of China’s new andhigh technology products and highvalue-added products is extremelylow. Its pure technological exportrate is only 2 percent of the total.Therefore,along with thetransformation of the mode ofgrowth of China’s nationaleconomy, a corresponding growthmode transformation should takeplace in its foreign trade sector,and it is necessary to achieve asignificant change in its importand export product mix.
文摘In this paper, the effect of the mediation effect is mainly used to test and analyze the regression model, and most scholars have studied the impact of the modernization of the industrial structure on the income gap. However, this paper is from another perspective, based on the social background of high-quality development, the main study is the impact mechanism of urban and rural income gap on the industrial structure, taking the Yangtze River Delta as the main research object, and specifically selecting 22 central cities in the Yangtze River Delta region, which is also one of the highlights of this study. The regression model is constructed by using the intermediary effect, and the four intermediary variables of fiscal expenditure (M<sub>1</sub>), fixed asset investment (M<sub>2</sub>), number of patent applications (M<sub>3</sub>), and total import and export (M<sub>4</sub>) are selected, which represent the role of the government, fixed asset investment, scientific and technological level and opening-up level, and study and analyze the inherent influence mechanism between each variable. Before doing specific research, I consulted the papers and literature of many other outstanding scholars, among which Cheng Yuhong and Cheng Chi’s “The Influence Mechanism of industrial structure of urban and rural income gap” [1] has great reference value for this paper. According to the research results, under the background of high-quality development in the Yangtze River Delta region, the expansion of the income gap between urban and rural areas will inhibit the upgrading of the industrial structure, so it is necessary to focus on building a new type of urbanization, accelerating the construction of an urban innovation system, optimizing the rural employment structure to narrow the income gap between urban and rural areas, and providing impetus for the continuous upgrading of the industrial structure.
文摘Since the Reform and Opening-up in 1978,China’s economy,society and other fields have developed very rapidly.Economic growth has achieved leapfrog development,and the three industries have achieved great development,but the overall industrial structure needs to be improved.At present,China’s economy has entered the“New Normal”.In order to achieve“Sound and Rapid”economic development,it is imperative to transform the industrial structure.Using econometric analysis and based on China’s economic data from 1978 to 2020,this paper explores the different impacts of three industrial sectors on economic growth.Thus it analyzes the internal mechanism of China’s economic growth.It is concluded that the contribution of the tertiary industry to the national GDP is the largest,the level of secondary industry is medium,and the primary industry is the smallest.Finally,according to the calculation results,this paper puts forward corresponding suggestions for the optimization of China’s industrial structure,in order to achieve sound and rapid development of the national economy.
文摘Confronting the contradiction between the rapid development of economy and the effective protection of environment, and developing low carbon economy by optimizing the industrial structure have become one of the effective way to attract more attention. In the paper, we made a research on the correlation between china's three main industries and carbon emission intensity to find out the main factors which affect the intensity of carbon emission in China by measuring the gross emission in china's 28 main provinces in 2003-2013 and using Grey correlation analysis based on the change tendency. The results indicate that the second industry has the largest correlation with carbon emission intensity; the tertiary industry helps reduce the intensity of carbon emission, but it is not very obvious; the first industry has the least impact on carbon emission intensity. In the last part, according to the characteristics of industrial structure and carbon emission, we put forward the suggestions and strategies on the adjustment of china's industrial structure in future with the results analysis.
文摘A necessary condition for realizing macroeconomics is to rationally upgrade the industrial structure.In this process of upgrading,financial capital deepening and technological progress are important ways to promote the upgrading of industrial structure.From an endogenous perspective,this essay explores the internal links between financial capital deepening,technological progress,and industrial structure upgrading.The analysis shows that factors of technological progress have not make a tremendous impact on the upgrading of Chinese industrial structure,nor are they a positive reason for promoting the development of the industry to a higher level.The deepening of financial capital obviously promotes the optimization and upgrading of industrial institutions,which is its main factor.
文摘Firstly,this paper conducts theoretical analysis and current situation analysis,and then proposes research hypotheses.Secondly,using spatial Dubin model and partial differential method,it empirically studies the impact of industrial structure advancement and rationalization on the urban-rural income gap.The results show that:(1)Both industrial structure and urban-rural income gap have significant spatial dependence;(2)The increase in the industrial structure rationalization will narrow the urban-rural income gap in local region,while its spillover effect on neighboring areas is not obvious.(3)The impact of the industrial structure advancement on the urban-rural income gap is not linear.It is first expanded and then narrowed.The industrial structure advancement in the Yangtze River Delta will generally narrow the urban-rural income gap at this stage.Finally,this paper put forward relevant suggestions.
基金the phased result of the general project“Analysis of the Impact of Shandong Province’s Two-Way Investment on the Transformation and Upgrading of Industrial Structure under the Background of‘High-Quality Development’”and the 2020 Shandong Province Key R&D Program(Soft Science Project)(Project Number:2020RKB01339).
文摘This paper uses the panel data of 17 cities in Shandong Province from 2003 to 2018 to construct a panel model to empirically study the impact of foreign direct investment(FDI)on the industrial structure.The results show that two-way investment,financial industry development,and policy variables have significant roles in promoting the advancement of the industrial structure in the province.In the future implementation of the“Going Global”strategy in Shandong Province,the cooperation between two-way investment and the financial industry should be strengthened,the level of regional financial development should be improved,and the impact of two-way investment on the optimization and upgrading of the industrial structure should be reinforced.
