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
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
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
The report from the 20th National Congress of China emphasizes the importance of focusing on the clean,low-carbon,and efficient use of energy,increasing financial support,and promoting green upgrading within the indus...The report from the 20th National Congress of China emphasizes the importance of focusing on the clean,low-carbon,and efficient use of energy,increasing financial support,and promoting green upgrading within the industrial sector.This paper,based on annual data,employs the entropy weight method to construct a comprehensive index reflecting the impact of green upgrading in industrial sectors.To delve deeper,it utilizes the DEA model to measure energy efficiency and its subdivision BCC model to break down energy efficiency into technical and scale efficiency.The financial support landscape is examined from the vantage points of both direct and indirect financing.Using a multivariate time series model,this paper thoroughly investigates the influence of energy efficiency and financial support on the green upgrading of the industrial sector.The findings reveal a significant positive impact of both energy efficiency and financial support on green upgrading in industrial industries.Notably,scale efficiency emerges as the primary driver of energy efficiency.Moreover,indirect financing proves to be more effective in promoting financial support than direct financing.The empirical results retain their robustness even after substituting explanatory variables.The study concludes by contextualizing the research findings within the current real-world scenario,offering practical insights,and proposing specific recommendations.展开更多
This paper constructs coefficients of the integral and the internal structure upgrading in the secondary and tertiary industries, selects per capita real gross domestic product as a threshold variable and build panel ...This paper constructs coefficients of the integral and the internal structure upgrading in the secondary and tertiary industries, selects per capita real gross domestic product as a threshold variable and build panel threshold model according to inter-provincial panel data of China from 1998 to 2016. Results indicated that population aging has a double threshold effect on the integral industrial structure upgrading, whose influence increases first and then decreases, significantly promoting the upgrading process. As for internal structure, population aging has no significant threshold effect on the upgrading in the secondary industry, but exerts a single negative threshold effect in the tertiary industry. When economic development is under the threshold, its negative impact is greater. Further analysis also suggests that regional differences exist significantly in the threshold effect of population aging on the industrial structure upgrading.展开更多
This paper investigates the history of upgrade of industrial structure in human society from a combined perspective of economic and philosophical history encompassing primitive society,ancient society and recent and m...This paper investigates the history of upgrade of industrial structure in human society from a combined perspective of economic and philosophical history encompassing primitive society,ancient society and recent and modern society.As far as recent and modern society is concerned,this paper divides the upgrade into two basic aspects:the shifting dominant position of primary,secondary and tertiary industries,and that of laborintensive,capital-intensive and knowledge-intensive industries.Moreover,this paper has examined the history of upgrade of industrial structure in China since 1949 and identified that the upgrade of China's industrial structure demonstrates not only the characteristics of middle and late stages of industrialization but characteristics of modernization as well.According to the general pattern of upgrade of industrial structure in recent and modern society and China's reality,great efforts must be made to improve China's indigenous innovation capacity,expedite agriculture modernization,increase competitiveness and qualitative development of manufacturing sector,and vigorously promote service sector(especially producers services),environmental protection industry,culture industry and maritime industry.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
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
The supply-side reform is an important measure for the high-quality development of China's economy in the new era. The purpose of this paper is to explore the mechanism and influence of technological progress,huma...The supply-side reform is an important measure for the high-quality development of China's economy in the new era. The purpose of this paper is to explore the mechanism and influence of technological progress,human capital,consumption demand,resource endowment and government intervention on the adjustment and upgrading of industrial structure,and to deepen the understanding of supply-side reform.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
Pore structure characteristics are significant factor in the evaluation of the physical characteristics of low-rank coal.In this study,three low-rank coal samples were collected from the Xishanyao Formation,Santanghu ...Pore structure characteristics are significant factor in the evaluation of the physical characteristics of low-rank coal.In this study,three low-rank coal samples were collected from the Xishanyao Formation,Santanghu Basin,and low-temperature liquid-nitrogen adsorption(LP-N2A)measurements were taken under various pretreatment temperatures.Owing to the continuous loss of water and volatile matter in low-rank coal,the total pore volume assumes a three-step profile with knee temperatures of 150°C and 240°C.However,the ash in the coal can protect the coal skeleton.Pore collapse mainly occurs for mesopores with aperture smaller than 20 nm.Mesopores with apertures smaller than 5 nm exhibit a continuous decrease in pore volume,whereas the pore volume of mesopores with apertures ranging from 5 to 10 nm increases at lower pretreatment temperatures(<150°C)followed by a faint decrease.As for mesopores with apertures larger than 10 nm,the pore volume increases significantly when the pretreatment temperature reaches 300°C.The pore structure of low-rank coal features a significant heating effect,the pretreatment temperature should not exceed 150°C when the LP-N2A is used to evaluate the pore structure of low-rank coal to effectively evaluate the reservoir characteristics of low-rank coal.展开更多
Since the 1990s, the Yellow River stream has been temporarily interrupted for several years, which affects the development of society, the economy and human life, limits the economic potential of the drainage areas, a...Since the 1990s, the Yellow River stream has been temporarily interrupted for several years, which affects the development of society, the economy and human life, limits the economic potential of the drainage areas, and especially causes great harm to regions on the lower reaches. Based on the analysis of the relationship between the development of society and economy and water scarcity, the author thinks it is necessary to optimize and adjust the industrial structure that has extravagantly consumed enormous amounts of water, and to develop ecological agriculture, industry and tourism which are balanced with the ecological environment. Finally, the author puts forward several pieces of advice and countermeasures about how to build the economic systems by which water can be used economically.展开更多
The grey relevance analysis is applied to study the 1996-2009 output value structure of China forestry system. Based on GM(1,1) model, information model is established to predict the forestry industrial structure of C...The grey relevance analysis is applied to study the 1996-2009 output value structure of China forestry system. Based on GM(1,1) model, information model is established to predict the forestry industrial structure of China in the next 10 years. Result shows that grey correlations between the three forestry industries and the forestry output value are 0.849 1, 0.731 1 and 0.821 3, respectively, with its order being secondary industry<tertiary industry<primary industry. Prediction result shows that forestry industry of China is in the middle stage of industrialization; and both secondary and tertiary industries will develop rapidly and become the leading industries.展开更多
Low-carbon development as the th eme of modern times is the premise to upgrade industrial structure. The authors adopt the PCA(Principle Component Analysis) to carry on a quantitative analysis about the factors that a...Low-carbon development as the th eme of modern times is the premise to upgrade industrial structure. The authors adopt the PCA(Principle Component Analysis) to carry on a quantitative analysis about the factors that affect the changing industrial structure in Shandong Province and then incorporate them into three principal components,namely,development-consumption,speed-structure and urbanization-technology. In other words,economic development is a direct factor while consumption demand and industrial upgrading are major driving forces. Moreover,urbanization accelerates the changes of industrial structure.展开更多
With Shift-Share Method, the study implemented an empirical analysis of Beijing's forestry industrial structure and its regional competitiveness around China from 2002 to 2011.The results indicated that the develo...With Shift-Share Method, the study implemented an empirical analysis of Beijing's forestry industrial structure and its regional competitiveness around China from 2002 to 2011.The results indicated that the development tendency of forestry industry structure will be gradually transferred from "primarysecondary –tertiary industry" into "tertiary-secondary-primary industry". As the study suggested that the basic position of the primary forestry industry should be strengthened and promoted, deep processing capacity and resources utilization of the secondary industry should be further developed, and the leading role of the tertiary industry should be further enhanced in accordance with the low carbon concept.展开更多
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.
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.
基金General Research Fund of Philosophy and Social Sciences in Colleges and Universities of Jiangsu Province in 2020(Grant No.2020SJA1008)Fundamental Research Funds for the Central Universities(Grant No.2023SK04)。
文摘The report from the 20th National Congress of China emphasizes the importance of focusing on the clean,low-carbon,and efficient use of energy,increasing financial support,and promoting green upgrading within the industrial sector.This paper,based on annual data,employs the entropy weight method to construct a comprehensive index reflecting the impact of green upgrading in industrial sectors.To delve deeper,it utilizes the DEA model to measure energy efficiency and its subdivision BCC model to break down energy efficiency into technical and scale efficiency.The financial support landscape is examined from the vantage points of both direct and indirect financing.Using a multivariate time series model,this paper thoroughly investigates the influence of energy efficiency and financial support on the green upgrading of the industrial sector.The findings reveal a significant positive impact of both energy efficiency and financial support on green upgrading in industrial industries.Notably,scale efficiency emerges as the primary driver of energy efficiency.Moreover,indirect financing proves to be more effective in promoting financial support than direct financing.The empirical results retain their robustness even after substituting explanatory variables.The study concludes by contextualizing the research findings within the current real-world scenario,offering practical insights,and proposing specific recommendations.
基金This study is supported by funds of National Natural Science Foundation of China’s project “China’s population aging process and labor productivity: inspection, forecasting and policy options”[Grant number: 71573093]National Natural Science Foundation of China’s project [Grant number:71573093].
文摘This paper constructs coefficients of the integral and the internal structure upgrading in the secondary and tertiary industries, selects per capita real gross domestic product as a threshold variable and build panel threshold model according to inter-provincial panel data of China from 1998 to 2016. Results indicated that population aging has a double threshold effect on the integral industrial structure upgrading, whose influence increases first and then decreases, significantly promoting the upgrading process. As for internal structure, population aging has no significant threshold effect on the upgrading in the secondary industry, but exerts a single negative threshold effect in the tertiary industry. When economic development is under the threshold, its negative impact is greater. Further analysis also suggests that regional differences exist significantly in the threshold effect of population aging on the industrial structure upgrading.
文摘This paper investigates the history of upgrade of industrial structure in human society from a combined perspective of economic and philosophical history encompassing primitive society,ancient society and recent and modern society.As far as recent and modern society is concerned,this paper divides the upgrade into two basic aspects:the shifting dominant position of primary,secondary and tertiary industries,and that of laborintensive,capital-intensive and knowledge-intensive industries.Moreover,this paper has examined the history of upgrade of industrial structure in China since 1949 and identified that the upgrade of China's industrial structure demonstrates not only the characteristics of middle and late stages of industrialization but characteristics of modernization as well.According to the general pattern of upgrade of industrial structure in recent and modern society and China's reality,great efforts must be made to improve China's indigenous innovation capacity,expedite agriculture modernization,increase competitiveness and qualitative development of manufacturing sector,and vigorously promote service sector(especially producers services),environmental protection industry,culture industry and maritime industry.
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.
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.
文摘The supply-side reform is an important measure for the high-quality development of China's economy in the new era. The purpose of this paper is to explore the mechanism and influence of technological progress,human capital,consumption demand,resource endowment and government intervention on the adjustment and upgrading of industrial structure,and to deepen the understanding of supply-side reform.
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.
基金This work was supported by the Natural Science Basic Research Plan in Shaanxi Province of China(Program No.2019JQ-527)Shandong Key laboratory of Depositional Mineralization and Sedimentary Mineral Open Fund(Program No.DMSM20190014)Scientific Research Program Funded by Shaanxi Provincial Education Department(Program No.20JS116)。
文摘Pore structure characteristics are significant factor in the evaluation of the physical characteristics of low-rank coal.In this study,three low-rank coal samples were collected from the Xishanyao Formation,Santanghu Basin,and low-temperature liquid-nitrogen adsorption(LP-N2A)measurements were taken under various pretreatment temperatures.Owing to the continuous loss of water and volatile matter in low-rank coal,the total pore volume assumes a three-step profile with knee temperatures of 150°C and 240°C.However,the ash in the coal can protect the coal skeleton.Pore collapse mainly occurs for mesopores with aperture smaller than 20 nm.Mesopores with apertures smaller than 5 nm exhibit a continuous decrease in pore volume,whereas the pore volume of mesopores with apertures ranging from 5 to 10 nm increases at lower pretreatment temperatures(<150°C)followed by a faint decrease.As for mesopores with apertures larger than 10 nm,the pore volume increases significantly when the pretreatment temperature reaches 300°C.The pore structure of low-rank coal features a significant heating effect,the pretreatment temperature should not exceed 150°C when the LP-N2A is used to evaluate the pore structure of low-rank coal to effectively evaluate the reservoir characteristics of low-rank coal.
文摘Since the 1990s, the Yellow River stream has been temporarily interrupted for several years, which affects the development of society, the economy and human life, limits the economic potential of the drainage areas, and especially causes great harm to regions on the lower reaches. Based on the analysis of the relationship between the development of society and economy and water scarcity, the author thinks it is necessary to optimize and adjust the industrial structure that has extravagantly consumed enormous amounts of water, and to develop ecological agriculture, industry and tourism which are balanced with the ecological environment. Finally, the author puts forward several pieces of advice and countermeasures about how to build the economic systems by which water can be used economically.
基金Supported by the Society of Entrepreneurs & Ecology and the Research Project of Deepening the Reform of Collective Forest Right System in Beijing
文摘The grey relevance analysis is applied to study the 1996-2009 output value structure of China forestry system. Based on GM(1,1) model, information model is established to predict the forestry industrial structure of China in the next 10 years. Result shows that grey correlations between the three forestry industries and the forestry output value are 0.849 1, 0.731 1 and 0.821 3, respectively, with its order being secondary industry<tertiary industry<primary industry. Prediction result shows that forestry industry of China is in the middle stage of industrialization; and both secondary and tertiary industries will develop rapidly and become the leading industries.
基金Sponsored by National Natural Science Foundation of China(41371170)Social Science Planning Project of Jinan(13BJB01)
文摘Low-carbon development as the th eme of modern times is the premise to upgrade industrial structure. The authors adopt the PCA(Principle Component Analysis) to carry on a quantitative analysis about the factors that affect the changing industrial structure in Shandong Province and then incorporate them into three principal components,namely,development-consumption,speed-structure and urbanization-technology. In other words,economic development is a direct factor while consumption demand and industrial upgrading are major driving forces. Moreover,urbanization accelerates the changes of industrial structure.
基金supported by the Chinese Academy of Forestry (Grant No. CAFYBB2014MB001)
文摘With Shift-Share Method, the study implemented an empirical analysis of Beijing's forestry industrial structure and its regional competitiveness around China from 2002 to 2011.The results indicated that the development tendency of forestry industry structure will be gradually transferred from "primarysecondary –tertiary industry" into "tertiary-secondary-primary industry". As the study suggested that the basic position of the primary forestry industry should be strengthened and promoted, deep processing capacity and resources utilization of the secondary industry should be further developed, and the leading role of the tertiary industry should be further enhanced in accordance with the low carbon concept.
