Smart cities,a new kind of urbanization,offer a means of achieving the condition in which environmental conservation and economic growth are mutually beneficial.As a result,it is important to think about whether and h...Smart cities,a new kind of urbanization,offer a means of achieving the condition in which environmental conservation and economic growth are mutually beneficial.As a result,it is important to think about whether and how the development of smart cities might support the high-quality growth of urban economies.Based on the panel data of 163 prefecture-level cities in China from 2009–2018,the green total factor productivity(GTFP)of each prefecture-level city is measured using the SBM-GML model,and the appropriate spatial econometric model is screened by various types of tests.The spatial effect of smart city construction on GFTP is studied,and it is concluded that the pilot cities have a significant positive spatial spillover effect.The decomposition econometric model also shows that the pilot cities have a significant positive spatial spillover effect,and it also indicating that the smart city construction can also drive the surrounding cities to jointly improve the quality of economic development.Finally,the robustness of the spatial effect of smart city policy is also verified by changing the spatial measurement model and the type of spatial weight matrix,which also shows that the results of the spatial spillover effect of smart city construction are reliable.展开更多
Digital transformation provides enterprises with new development momenta.Understanding the relationship between digital transformation and total factor productivity(TFP)is essential.This study employs a fixedeffect mo...Digital transformation provides enterprises with new development momenta.Understanding the relationship between digital transformation and total factor productivity(TFP)is essential.This study employs a fixedeffect model and selects all Chinese A-share listed companies from 2007 to 2022 as the research sample.Internal control(IC)is introduced as a mechanistic variable.The results indicate that digital transformation significantly promotes both TFP and the effectiveness of IC.Moreover,effective IC plays a significant mediating role in the relationship between digital transformation and TFP.A heterogeneity analysis reveals that,compared to non-state-owned enterprises,state-owned enterprises can improve TFP more rapidly through digital transformation due to their resource advantages and policy support.On the one hand,these findings help enterprises better align their transformation strategies to maximize the benefits of digital transformation.On the other hand,they provide investors with insights into the transformation potential and future growth prospects of these enterprises.展开更多
Bohai Rim region is an important economic development area and a large carbon emission area in China.It is of great significance to explore the total factor energy efficiency and its influencing factors for the low ca...Bohai Rim region is an important economic development area and a large carbon emission area in China.It is of great significance to explore the total factor energy efficiency and its influencing factors for the low carbon transformation and high-quality development of the Bohai Rim region.Based on the total factor energy efficiency framework,the DDF-DEA model was used to calculate the total factor energy efficiency,and the internal and external differences of the total factor energy efficiency were further analyzed.The internal and external influencing factors were determined by ML index method and classical endogenous growth theory,and then the Tobit panel model was used to empirically analyze the action mechanism of all influencing factors of total factor energy efficiency in the Bohai Rim region.The results show that the pure technical efficiency,scale efficiency and technological progress among the internal influencing factors contribute to the improvement of energy efficiency in the Bohai Rim region.Industrial structure,industrial internal structure and ownership structure inhibit the improvement of energy efficiency.Energy consumption structure and energy endowment also have a negative impact on energy efficiency.Therefore,measures such as promoting technological progress,adjusting economic structure and optimizing energy structure will effectively improve total factor energy efficiency in the Bohai Rim region.展开更多
The high-quality development of the construction industry fundamentally stems from the significant improvement of total factor productivity.Therefore,it is of crucial significance for promoting the development of the ...The high-quality development of the construction industry fundamentally stems from the significant improvement of total factor productivity.Therefore,it is of crucial significance for promoting the development of the construction industry to a higher level by scientifically and accurately measuring the total factor productivity of the construction industry and deeply analyzing the influencing factors behind it.Based on a comprehensive consideration of research methods and influencing factors,this paper systematically reviews the existing relevant literature on total factor productivity in the construction industry,aiming to reveal the current research development trend in this field and point out potential problems.This effort aims to provide a solid theoretical foundation and valuable reference for further in-depth research,and jointly promote the continuous progress and development of total factor productivity research in the construction industry.展开更多
Total atomic scattering factors for the 1s^23s ^2S stages for the lithium isoelectronic sequence from Z = 3 - 10 are calculated by using the full core plus correlation wave function. The influence of electron correlat...Total atomic scattering factors for the 1s^23s ^2S stages for the lithium isoelectronic sequence from Z = 3 - 10 are calculated by using the full core plus correlation wave function. The influence of electron correlation on total atomic scattering factors is considered sufficiently in our calculation. For the 1s^2 3s ^2S states of the lithium isoelectronic sequence, the general functional behaviour of total atomic scattering factors is analyzed together for each state of the isoelectronic sequence.展开更多
The paper analyzed total factor productivity of Binzhou City, and key factors that influence its economic growth and effluent discharge. The results showed that(i) production efficiency of the city during 2005–2013 k...The paper analyzed total factor productivity of Binzhou City, and key factors that influence its economic growth and effluent discharge. The results showed that(i) production efficiency of the city during 2005–2013 kept stable, mean of Malmquist-Luenberger index was 1.044,9 without considering effluent discharge, and the average annual increase rate was 4.49%, and that was 1.020,4 considering effluent discharge, the average annual increase rate was 2.04%, and the increase rate reduced by 2.45%.(ii) GDP growth showed significant negative correlation and positive correlation with capital input and energy input, but insignificant negative correlation and positive correlation with labor force input and technological progress.(iii) Effluent discharge showed insignificant negative correlation and positive correlation with capital input and energy input, but significant negative correlation and positive correlation with labor force input and technological progress.展开更多
China’s growing trade with countries along the“Belt and Road”Initiative is accompanied by a focus on green development.Based on the panel data from 2007 to 2018,this paper establishes a threshold regression model t...China’s growing trade with countries along the“Belt and Road”Initiative is accompanied by a focus on green development.Based on the panel data from 2007 to 2018,this paper establishes a threshold regression model to empirically analyze the institutional quality threshold effect of China’s foreign trade technology spillover on the GTFP of countries along the“Belt and Road.”The results show that China’s foreign trade technology spillover has a significant institutional quality double threshold effect on the green total factor productivity of the countries along the“Belt and Road.”As the institutional quality of the countries along the“Belt and Road”crosses a specific threshold value,the impact of China’s foreign trade technology spillover on the green total factor productivity of the countries along the“Belt and Road”has a significant positive promoting effect,and corresponding suggestions are put forward.展开更多
The rapid development of the digital economy profoundly impacts global industries,presenting both opportunities and challenges for traditional sectors like petroleum.This study investigates the impact of the digital e...The rapid development of the digital economy profoundly impacts global industries,presenting both opportunities and challenges for traditional sectors like petroleum.This study investigates the impact of the digital economy on the performance of Chinese petroleum enterprises,focusing on the mediating role of total factor productivity(TFP).Utilizing panel data from Chinese petroleum firms(2018–2023),we construct a macro digital economy development index(using the entropy method)and a micro-level enterprise digital transformation index.Empirical analysis employs panel data models and mediation effect models.Findings reveal that regional digital economy development significantly positively affects firms’Tobin’s Q(coefficient=0.516).Enterprise digital transformation significantly enhances Return on Equity(ROE)(coefficient=27.456).Mediation tests confirm that TFP partially mediates the relationship between digital transformation and firm performance.Heterogeneity analysis shows differences based on ownership:regional digital economy development has a slightly stronger effect on state-owned enterprises’(SOEs)market value,while its effect is statistically more significant for private enterprises.Conversely,digital transformation boosts ROE more significantly in private firms.The study concludes with policy recommendations,including promoting digital governance reform in SOEs,increasing support for private firms’digitalization,building a digital technology innovation ecosystem to enhance TFP,and optimizing digital investment structures for better capital market recognition.展开更多
This study explores the mechanisms by which China’s pilot carbon emissions trading schemes(ETS)facilitate industrial low-carbon transitions.We construct a theoretical model and conduct an empirical analysis using pro...This study explores the mechanisms by which China’s pilot carbon emissions trading schemes(ETS)facilitate industrial low-carbon transitions.We construct a theoretical model and conduct an empirical analysis using provincial panel data from seven pilot provinces spanning 2006-2021.Applying a multi-period difference-in-differences(DID)approach,we evaluate the environmental and economic impacts of the pilot ETS policies.The findings yield three key insights:(1)The pilot ETS significantly reduces carbon emission intensity and improves low-carbon total factor productivity(TFP),thereby promoting China’s industrial low-carbon transition.(2)Mechanism analysis indicates that the ETS primarily operates through cost constraints and industrial structural upgrading,while the effect of technological progress has yet to fully materialize.(3)Heterogeneity analysis reveals that the policy’s effects are more significant in regions with higher levels of economic development and R&D investment,leading to greater carbon intensity reductions and productivity gains.In addition,regions with higher foreign direct investment(FDI)experience more substantial improvements in low-carbon TFP,possibly reflecting technology spillover effects.展开更多
Using data from the 11th to 14th Five-Year Plan periods(2006-2025),this study applies a Difference-in-Differences(DID)approach to assess the impact of industrial policy withdrawal.Industries that have faced policy wit...Using data from the 11th to 14th Five-Year Plan periods(2006-2025),this study applies a Difference-in-Differences(DID)approach to assess the impact of industrial policy withdrawal.Industries that have faced policy withdrawal for over a decade are categorized as the treatment group,while consistently supported industries form the control group.The analysis examines how withdrawal affects firm total factor productivity(TFP)and investment behavior.The results show that policy withdrawal boosts firm TFP by reducing over-investment and improving the efficiency of R&D spending.This effect is particularly evident in industries with strong,competitive leading firms.Additionally,in regions with lower levels of marketization,timely policy withdrawal plays a key role in curbing over-investment.This study also highlights a dual effect of policy withdrawal:while it fosters corporate social responsibility,it may also encourage financial speculation.These findings suggest that the implementation of industrial policy should provide“timely assistance”over a limited timeframe rather than long-term support to well-established industries.As industries mature,policy support should be gradually reduced or phased out to avoid over-investment and enhance firm efficiency.展开更多
This paper estimates a stochastic frontier function using a panel data set that includes 4 961 farmer households for the period of 2005-2009 to decompose the growth of grain production and the total factor productivi...This paper estimates a stochastic frontier function using a panel data set that includes 4 961 farmer households for the period of 2005-2009 to decompose the growth of grain production and the total factor productivity （TFP） growth at the farmer level. The empirical results show that the major contributor to the grain output growth for farmers is input growth and that its average contribution accounts for 60.92% of farmer’s grain production growth in the period of 2006-2009, whereas the average contributions sourced from TFP growth and residuals are only 17.30 and 21.78%, respectively. The growth of intermediate inputs is a top contributor with an average contribution of 44.46%, followed by the planted area （18.16%）, investment in fixed assets （1.05%）, and labor input （-2.75%）, indicating that the contribution from the farmer’s input growth is mainly due to the growth of intermediate inputs and that the decline in labor inputs has become an obstacle for farmers in seeking grain output growth. Among the elements consisting of TFP growth, the contribution of technical progress is the largest （32.04%）, followed by grain subsidies （8.55%）, the average monthly temperature （4.26%）, the average monthly precipitation （-0.88%）, the adjusted scale effect （-5.66%）, and growth in technical efficiency （-21.01%）. In general, the contribution of climate factors and agricultural policy factor are positive and significant.展开更多
Based on methods such as stochastic frontier production function,this paper analyses the changes of single factor productivity(SFP)and total factor productivity(TFP)of agriculture in the five Central Asian countries,d...Based on methods such as stochastic frontier production function,this paper analyses the changes of single factor productivity(SFP)and total factor productivity(TFP)of agriculture in the five Central Asian countries,during the period of 1992 to 2017.The research results show that the agricultural output in most of the five Central Asian countries has increased steadily,while agricultural labor productivity has shown a growth trend.With the exception of Kazakhstan,the land productivity of the other four countries shows a growth trend.In terms of factor input,the number of agricultural workers in the five Central Asian countries mainly shows a trend of decrease,with the input of chemical fertilizer increasing,and the amount of agricultural machinery increasing or decreasing within a small range.The total factor productivity in the five Central Asian countries has improved,but it is still at a low level.The policy suggestions contained in the research conclusions are as follows:(1)Promote the growth of agricultural TFP in the five Central Asian countries,and strengthen the emphasis on the input and allocation of agricultural factors;(2)be aware of the innovation of agricultural technology,as well as the promotion and diffusion of existing agricultural technologies,and improve the overall technical efficiency of agriculture;and(3)accelerate the effective flow of capital and other elements to the agricultural sector,improve infrastructure,better release the'dividend'of science and technology,and enhance the output efficiency.展开更多
Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)i...Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.展开更多
Modified mathematical models based on imaginary plane zone method in reheating furnace were developed in which non-gray radiation properties of gas were considered,and the Newton＇s method and the finite difference me...Modified mathematical models based on imaginary plane zone method in reheating furnace were developed in which non-gray radiation properties of gas were considered,and the Newton＇s method and the finite difference method were adopted. Effects of productivity,fuel consumption,fuel-air ratio,calorific value of fuel and inserting depth of thermocouple on total heat exchange factor along the length of reheating furnace were investigated. The results show that total heat exchange factor increases with productivity or inserting depth of thermocouple,and it decreases when fuel consumption,fuel-air ratio or calorific value of fuel increases. The results are valuable for dynamical compensation of total heat exchange factor for online control mathematical models in reheating furnace.展开更多
Based on the DEA-based Malmquist index method,the total factor productivity was calculated for 5 major banana production areas in 2003-2004,and it was further divided into technological progress and technical efficien...Based on the DEA-based Malmquist index method,the total factor productivity was calculated for 5 major banana production areas in 2003-2004,and it was further divided into technological progress and technical efficiency.The results show that the total factor productivity of banana industry in China was 1.3% in the sample period,mainly due to technological progress,the average growth rate was 2.6%,while the pure technical efficiency and scale efficiency was -0.1% and -1.2% respectively.The improvement of total factor productivity in banana industry in China relied mainly on technological progress,cultivation of new banana varieties,management of high quality cultivation,popularization and application of water conservation and fertilizer saving technology,and injury-free picking technologies.The pure technical efficiency and scale efficiency of banana production were negative,indicating that the management level of banana was not high.The effect of scale economy of this industry through agglomeration and consolidation is still to be practiced.Banana growers should promote the improvement of large scale and management level of the banana industry at the same time of promoting the technological progress.展开更多
The innovative city pilot policy(ICPP)is an essential manifestation of China’s construction of an innovative and green-driven development country.We incorporated urban green total factor productivity(GTFP)growth into...The innovative city pilot policy(ICPP)is an essential manifestation of China’s construction of an innovative and green-driven development country.We incorporated urban green total factor productivity(GTFP)growth into the evaluation of ICPP.Based on the panel data of 223 cities in China from 2005 to 2020,we used the difference-in-differences model to empirically assess the influence and mechanism of the ICPP on urban GTFP growth.The main results show that(i)The ICPP has maintained an effectively fluctuating promotion on urban GTFP growth,mainly manifested in the urban green technological progress improvement.(ii)The ICPP has urban heterogeneity in promoting GTFP growth in pilot cities,mainly affecting key cities such as provincial capitals.(iii)The interaction between the agglomeration of producer services and the ICPP inhibits GTFP growth in pilot cities.展开更多
The enhancement of industrial green total factor productivity is pivotal for achieving high-quality and sustainable economic development.This study assesses China’s performance using the SBM-GML model,employing provi...The enhancement of industrial green total factor productivity is pivotal for achieving high-quality and sustainable economic development.This study assesses China’s performance using the SBM-GML model,employing province-level panel data spanning from 2004 to 2020.Furthermore,we examine the influence of green finance and technological progress on industrial green total factor productivity using a spatial econometric model.The findings uncover that the relationship between the level of green financial development and industrial green total factor productivity follows a U-shaped curve.Initially,low levels of green financial development exert a suppressive effect on industrial green total factor productivity,proving ineffective in the short term.However,with the progression of green finance development,a positive and significant long-term impact on industrial green total factor productivity emerges.Moreover,technological progress demonstrates a noteworthy promotional effect on industrial green total factor productivity.The analysis delves deeper into revealing that industrial structure and environmental regulation intensity exhibit a significant negative relationship with industrial green total factor productivity.In contrast,both energy structure and education level showcase a substantial positive relationship with industrial green total factor productivity.展开更多
Scale-controlling and technology-upgrading measures are considered effective for mitigating vehicle exhaust emissions.This study investigated the impacts of fuel consumption and vehicle quantities on the total factor ...Scale-controlling and technology-upgrading measures are considered effective for mitigating vehicle exhaust emissions.This study investigated the impacts of fuel consumption and vehicle quantities on the total factor inefficiency in China’s highway transport sector during 2011-2015,based on the Bounded Adjusted Measure Data Envelopment Analysis(BAM-DEA)model combined with natural and managerial disposability scenarios.The results showed that the average global inefficiency(GIE)score of the exhaust emissions(CO,HC,NOx,and PM)was 0.41 under the assumption of natural disposability and 0.23 in the managerial disposability situation.Moreover,the main causes of total factor inefficiency scores from the perspective of natural disposability were road length,fuel consumption,and exhaust emissions,whereas those from a managerial disposability perspective were road length and exhaust emissions.These two results suggested that environmental efficiency can be promoted by increasing the quantities of clean-energy vehicles and high-quality gasoline/diesel consumption.In terms of the spatial distribution of GIE,the scores showed a decreasing trend from China’s northwestern inland regions to its southeastern coastal regions under both natural and managerial disposability.Environmental efficiency in some provinces(such as Yunnan)demonstrated good progress under managerial disposability,but other regions did not(such as Hebei and Ningxia).Thus,each province should choose appropriate strategies regarding vehicle quantities and fuel consumption according to the technical inefficiency scores of differing disposability situations.展开更多
The National High-tech Zone(NHTZs)is an important strategic platform for cultivating high-tech industries and realizing high-quality economic development in China.Based on the combined data from 2006 to 2014 of the in...The National High-tech Zone(NHTZs)is an important strategic platform for cultivating high-tech industries and realizing high-quality economic development in China.Based on the combined data from 2006 to 2014 of the industrial enterprise database,the customs database,and the China Development Zones Audit and Announcement Catalogue(abbreviated asthe Catalogue),this paper systematically investigates the influence of the construction of NHTZs on enterprise’s total factor productivity(TFP).Results show that NHTZs have a positive impact on the TFP of enterprises in the zone,and this conclusion is still valid after considering endogeneity problems.Furthermore,the above productivity effects of NHTZs are heterogeneous in terms of enterprise ownership,external environment and establishment time,and NHTZs have greater stimulation effects on enterprise productivity after comparing with other types of functional zones.An investigation of the specific mechanisms at play shows that NHTZs promote the TFP of enterprises in the zone through the release of preferential policies,strengthening the“technology spillover effects”of imported intermediate goods,enhancing enterprise’s innovation ability and attracting talent.In addition,based on the decomposition of industry productivity,this paper also investigates the impact of NHTZs on changes in industry productivity and finds that NHTZs promote the overall productivity of specific industries mainly by stimulating the productivity improvement of incumbent enterprises and expanding the market share of high-productivity enterprises.Moreover,the preferential policies of NHTZs do not significantly stimulate high-productivity enterprises to enter the zones,nor do they cause low-productivity enterprises to exit.This research is helpful in objectively evaluating the economic effects of the NHTZs in China and in providing a theoretical basis for its further adjustment.展开更多
This paper analyzed the total factor productivity of Shandong Province and its impact on the local economic environment through Malmquist-Luenberger productivity index. The results of the paper were included as follow...This paper analyzed the total factor productivity of Shandong Province and its impact on the local economic environment through Malmquist-Luenberger productivity index. The results of the paper were included as follows. Without consideration of the environmental constraints, Index M of the total factor productivity of Shandong Province from high to low was Heze, Jinan, Qingdao, Weihai, Dongying, Zaozhuang, Jining, Tai'an, Dezhou, Liaocheng, Yantai, Zibo, Weifang, Linyi, Binzhou, Rizhao, Laiwu, among which Index M of Linyi, Binzhou, Rizhao, Laiwuwere were less than 1; taking the environmental constraints into account, Index ML of the total factor productivity of Shandong Province was reduced, from high to low was Jinan, Qingdao, Weihai, Yantai, Heze, Liaocheng, Tai'an, Weifang, Jining, Linyi, Zibo, Dongying, Zaozhuang, Rizhao, Laiwu, Binzhou, Dezhou, among which Index ML of 9 cities behind Jining were less than 1. In terms of the development mode, Jinan, Qingdao, Tai'an, Weihai, Jining and Heze were resource-conserving and environment-friendly cities; Dongying and Zaozhuang were resourceconserving and environment-polluted cities; Liaocheng, Linyi, Weifang and Yantai were resource-wasted and environment-friendly cities; Binzhou, Dezhou, Laiwu, Rizhao and Zibo were resource-wasted and environment-pol uted cities.展开更多
基金Jilin Province Social Science Project:Path Analysis and Empirical Research on Empowering Rural Industry Integration with Digital Economy in Jilin Province 2023B40Key Project of Education Science Planning in Jilin Province:Exploration of Talent Training Model for Economic Statistics Majors in Universities Based on OBE Theory-Taking Jilin Jianzhu University as an Example.ZD22028.
文摘Smart cities,a new kind of urbanization,offer a means of achieving the condition in which environmental conservation and economic growth are mutually beneficial.As a result,it is important to think about whether and how the development of smart cities might support the high-quality growth of urban economies.Based on the panel data of 163 prefecture-level cities in China from 2009–2018,the green total factor productivity(GTFP)of each prefecture-level city is measured using the SBM-GML model,and the appropriate spatial econometric model is screened by various types of tests.The spatial effect of smart city construction on GFTP is studied,and it is concluded that the pilot cities have a significant positive spatial spillover effect.The decomposition econometric model also shows that the pilot cities have a significant positive spatial spillover effect,and it also indicating that the smart city construction can also drive the surrounding cities to jointly improve the quality of economic development.Finally,the robustness of the spatial effect of smart city policy is also verified by changing the spatial measurement model and the type of spatial weight matrix,which also shows that the results of the spatial spillover effect of smart city construction are reliable.
基金supported by Philosophy and Social Sciences Planning Project of Guangdong Province[Grant No.GD24CTS08].
文摘Digital transformation provides enterprises with new development momenta.Understanding the relationship between digital transformation and total factor productivity(TFP)is essential.This study employs a fixedeffect model and selects all Chinese A-share listed companies from 2007 to 2022 as the research sample.Internal control(IC)is introduced as a mechanistic variable.The results indicate that digital transformation significantly promotes both TFP and the effectiveness of IC.Moreover,effective IC plays a significant mediating role in the relationship between digital transformation and TFP.A heterogeneity analysis reveals that,compared to non-state-owned enterprises,state-owned enterprises can improve TFP more rapidly through digital transformation due to their resource advantages and policy support.On the one hand,these findings help enterprises better align their transformation strategies to maximize the benefits of digital transformation.On the other hand,they provide investors with insights into the transformation potential and future growth prospects of these enterprises.
基金supported by the National Natural Science Foundation of China under Grant 71804089the Humanities and Social Sciences Youth Foundation of Ministry of Education of China under Grants 18YJCZH034 and 19YJC790128+3 种基金the Jiangsu Postdoctoral Research Foundation underGrant 2018K195C,the Natural Science Foundation of Shandong Province in China under Grant ZR2020QG054the Graduate Education Quality Improvement Project of Shandong Province,China under Grants SDYKC19180 and SDYAL19180The project number of“The quality course in Financial Statistics”is SDYKC19180The project number of“Financial Literacy Oriented Case Library of Derivative Financial Instruments Teaching”is SDYAL19180.
文摘Bohai Rim region is an important economic development area and a large carbon emission area in China.It is of great significance to explore the total factor energy efficiency and its influencing factors for the low carbon transformation and high-quality development of the Bohai Rim region.Based on the total factor energy efficiency framework,the DDF-DEA model was used to calculate the total factor energy efficiency,and the internal and external differences of the total factor energy efficiency were further analyzed.The internal and external influencing factors were determined by ML index method and classical endogenous growth theory,and then the Tobit panel model was used to empirically analyze the action mechanism of all influencing factors of total factor energy efficiency in the Bohai Rim region.The results show that the pure technical efficiency,scale efficiency and technological progress among the internal influencing factors contribute to the improvement of energy efficiency in the Bohai Rim region.Industrial structure,industrial internal structure and ownership structure inhibit the improvement of energy efficiency.Energy consumption structure and energy endowment also have a negative impact on energy efficiency.Therefore,measures such as promoting technological progress,adjusting economic structure and optimizing energy structure will effectively improve total factor energy efficiency in the Bohai Rim region.
基金Supported by School-level Natural Science Project of Jiangxi University of Technology(232ZRYB02).
文摘The high-quality development of the construction industry fundamentally stems from the significant improvement of total factor productivity.Therefore,it is of crucial significance for promoting the development of the construction industry to a higher level by scientifically and accurately measuring the total factor productivity of the construction industry and deeply analyzing the influencing factors behind it.Based on a comprehensive consideration of research methods and influencing factors,this paper systematically reviews the existing relevant literature on total factor productivity in the construction industry,aiming to reveal the current research development trend in this field and point out potential problems.This effort aims to provide a solid theoretical foundation and valuable reference for further in-depth research,and jointly promote the continuous progress and development of total factor productivity research in the construction industry.
基金supported by National Natural Science Foundation of China under Grant No.10774063Basic Research Foundation of Beijing Institute of Technology under Grant No.20070742006
文摘Total atomic scattering factors for the 1s^23s ^2S stages for the lithium isoelectronic sequence from Z = 3 - 10 are calculated by using the full core plus correlation wave function. The influence of electron correlation on total atomic scattering factors is considered sufficiently in our calculation. For the 1s^2 3s ^2S states of the lithium isoelectronic sequence, the general functional behaviour of total atomic scattering factors is analyzed together for each state of the isoelectronic sequence.
基金Sponsored by Binzhou Soft Science Research Program(2014RKX10)Binzhou Scientific and Technological Development Program(2013ZC1606)
文摘The paper analyzed total factor productivity of Binzhou City, and key factors that influence its economic growth and effluent discharge. The results showed that(i) production efficiency of the city during 2005–2013 kept stable, mean of Malmquist-Luenberger index was 1.044,9 without considering effluent discharge, and the average annual increase rate was 4.49%, and that was 1.020,4 considering effluent discharge, the average annual increase rate was 2.04%, and the increase rate reduced by 2.45%.(ii) GDP growth showed significant negative correlation and positive correlation with capital input and energy input, but insignificant negative correlation and positive correlation with labor force input and technological progress.(iii) Effluent discharge showed insignificant negative correlation and positive correlation with capital input and energy input, but significant negative correlation and positive correlation with labor force input and technological progress.
文摘China’s growing trade with countries along the“Belt and Road”Initiative is accompanied by a focus on green development.Based on the panel data from 2007 to 2018,this paper establishes a threshold regression model to empirically analyze the institutional quality threshold effect of China’s foreign trade technology spillover on the GTFP of countries along the“Belt and Road.”The results show that China’s foreign trade technology spillover has a significant institutional quality double threshold effect on the green total factor productivity of the countries along the“Belt and Road.”As the institutional quality of the countries along the“Belt and Road”crosses a specific threshold value,the impact of China’s foreign trade technology spillover on the green total factor productivity of the countries along the“Belt and Road”has a significant positive promoting effect,and corresponding suggestions are put forward.
文摘The rapid development of the digital economy profoundly impacts global industries,presenting both opportunities and challenges for traditional sectors like petroleum.This study investigates the impact of the digital economy on the performance of Chinese petroleum enterprises,focusing on the mediating role of total factor productivity(TFP).Utilizing panel data from Chinese petroleum firms(2018–2023),we construct a macro digital economy development index(using the entropy method)and a micro-level enterprise digital transformation index.Empirical analysis employs panel data models and mediation effect models.Findings reveal that regional digital economy development significantly positively affects firms’Tobin’s Q(coefficient=0.516).Enterprise digital transformation significantly enhances Return on Equity(ROE)(coefficient=27.456).Mediation tests confirm that TFP partially mediates the relationship between digital transformation and firm performance.Heterogeneity analysis shows differences based on ownership:regional digital economy development has a slightly stronger effect on state-owned enterprises’(SOEs)market value,while its effect is statistically more significant for private enterprises.Conversely,digital transformation boosts ROE more significantly in private firms.The study concludes with policy recommendations,including promoting digital governance reform in SOEs,increasing support for private firms’digitalization,building a digital technology innovation ecosystem to enhance TFP,and optimizing digital investment structures for better capital market recognition.
基金Major Project of the National Social Science Foundation of China(NSSFC)-“Study on the Construction of China’s Unified Carbon Market and the Realization Mechanism of the‘Dual Carbon’Goal”(Grant No.24VRC003).
文摘This study explores the mechanisms by which China’s pilot carbon emissions trading schemes(ETS)facilitate industrial low-carbon transitions.We construct a theoretical model and conduct an empirical analysis using provincial panel data from seven pilot provinces spanning 2006-2021.Applying a multi-period difference-in-differences(DID)approach,we evaluate the environmental and economic impacts of the pilot ETS policies.The findings yield three key insights:(1)The pilot ETS significantly reduces carbon emission intensity and improves low-carbon total factor productivity(TFP),thereby promoting China’s industrial low-carbon transition.(2)Mechanism analysis indicates that the ETS primarily operates through cost constraints and industrial structural upgrading,while the effect of technological progress has yet to fully materialize.(3)Heterogeneity analysis reveals that the policy’s effects are more significant in regions with higher levels of economic development and R&D investment,leading to greater carbon intensity reductions and productivity gains.In addition,regions with higher foreign direct investment(FDI)experience more substantial improvements in low-carbon TFP,possibly reflecting technology spillover effects.
基金supported by the Major Project of the Beijing Social Science Fund“Research on Constructing a New Development Pattern and the Coordinated Development of the Beijing-Tianjin-Hebei Region”(20ZDA31).
文摘Using data from the 11th to 14th Five-Year Plan periods(2006-2025),this study applies a Difference-in-Differences(DID)approach to assess the impact of industrial policy withdrawal.Industries that have faced policy withdrawal for over a decade are categorized as the treatment group,while consistently supported industries form the control group.The analysis examines how withdrawal affects firm total factor productivity(TFP)and investment behavior.The results show that policy withdrawal boosts firm TFP by reducing over-investment and improving the efficiency of R&D spending.This effect is particularly evident in industries with strong,competitive leading firms.Additionally,in regions with lower levels of marketization,timely policy withdrawal plays a key role in curbing over-investment.This study also highlights a dual effect of policy withdrawal:while it fosters corporate social responsibility,it may also encourage financial speculation.These findings suggest that the implementation of industrial policy should provide“timely assistance”over a limited timeframe rather than long-term support to well-established industries.As industries mature,policy support should be gradually reduced or phased out to avoid over-investment and enhance firm efficiency.
基金supported by Japan International Research Center for Agricultural Sciences
文摘This paper estimates a stochastic frontier function using a panel data set that includes 4 961 farmer households for the period of 2005-2009 to decompose the growth of grain production and the total factor productivity （TFP） growth at the farmer level. The empirical results show that the major contributor to the grain output growth for farmers is input growth and that its average contribution accounts for 60.92% of farmer’s grain production growth in the period of 2006-2009, whereas the average contributions sourced from TFP growth and residuals are only 17.30 and 21.78%, respectively. The growth of intermediate inputs is a top contributor with an average contribution of 44.46%, followed by the planted area （18.16%）, investment in fixed assets （1.05%）, and labor input （-2.75%）, indicating that the contribution from the farmer’s input growth is mainly due to the growth of intermediate inputs and that the decline in labor inputs has become an obstacle for farmers in seeking grain output growth. Among the elements consisting of TFP growth, the contribution of technical progress is the largest （32.04%）, followed by grain subsidies （8.55%）, the average monthly temperature （4.26%）, the average monthly precipitation （-0.88%）, the adjusted scale effect （-5.66%）, and growth in technical efficiency （-21.01%）. In general, the contribution of climate factors and agricultural policy factor are positive and significant.
基金Strategic Priorily Research Program of the CAS,No.XDA20040400National Natural Science Foundation of China,No.41871184,No.41401203+1 种基金The Agricultural Science and Technology Innovation Program.No.ASTIP-IAHD-2020-01,No.CAAS-ZDRW202012Central Research Institutes of Basic Research and Public Service Special Operations.No.161005202001-2。
文摘Based on methods such as stochastic frontier production function,this paper analyses the changes of single factor productivity(SFP)and total factor productivity(TFP)of agriculture in the five Central Asian countries,during the period of 1992 to 2017.The research results show that the agricultural output in most of the five Central Asian countries has increased steadily,while agricultural labor productivity has shown a growth trend.With the exception of Kazakhstan,the land productivity of the other four countries shows a growth trend.In terms of factor input,the number of agricultural workers in the five Central Asian countries mainly shows a trend of decrease,with the input of chemical fertilizer increasing,and the amount of agricultural machinery increasing or decreasing within a small range.The total factor productivity in the five Central Asian countries has improved,but it is still at a low level.The policy suggestions contained in the research conclusions are as follows:(1)Promote the growth of agricultural TFP in the five Central Asian countries,and strengthen the emphasis on the input and allocation of agricultural factors;(2)be aware of the innovation of agricultural technology,as well as the promotion and diffusion of existing agricultural technologies,and improve the overall technical efficiency of agriculture;and(3)accelerate the effective flow of capital and other elements to the agricultural sector,improve infrastructure,better release the'dividend'of science and technology,and enhance the output efficiency.
基金Under the auspices of National Natural Science Foundation of China(No.41771131,41301116,41877523)Premium Funding Project for Academic Human Resources Development in Beijing Union University(No.BPHR2017CS13)
文摘Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.
基金Sponsored by National Basic Research Program of China (2006CB601203)
文摘Modified mathematical models based on imaginary plane zone method in reheating furnace were developed in which non-gray radiation properties of gas were considered,and the Newton＇s method and the finite difference method were adopted. Effects of productivity,fuel consumption,fuel-air ratio,calorific value of fuel and inserting depth of thermocouple on total heat exchange factor along the length of reheating furnace were investigated. The results show that total heat exchange factor increases with productivity or inserting depth of thermocouple,and it decreases when fuel consumption,fuel-air ratio or calorific value of fuel increases. The results are valuable for dynamical compensation of total heat exchange factor for online control mathematical models in reheating furnace.
基金Supported by Industrial Economic Post of National Banana Industrial Technological System of the Ministry of Agriculture(CARS-32-10)
文摘Based on the DEA-based Malmquist index method,the total factor productivity was calculated for 5 major banana production areas in 2003-2004,and it was further divided into technological progress and technical efficiency.The results show that the total factor productivity of banana industry in China was 1.3% in the sample period,mainly due to technological progress,the average growth rate was 2.6%,while the pure technical efficiency and scale efficiency was -0.1% and -1.2% respectively.The improvement of total factor productivity in banana industry in China relied mainly on technological progress,cultivation of new banana varieties,management of high quality cultivation,popularization and application of water conservation and fertilizer saving technology,and injury-free picking technologies.The pure technical efficiency and scale efficiency of banana production were negative,indicating that the management level of banana was not high.The effect of scale economy of this industry through agglomeration and consolidation is still to be practiced.Banana growers should promote the improvement of large scale and management level of the banana industry at the same time of promoting the technological progress.
基金Study on the Path of Promoting the Integration of“Three Societies”and Help Rural Revitalization in Chongqing,Chongqing Social Science Planning Office[Grant number.2019WT13]Study on the Cultivation of Language Service Talents Under the Background of Belt and Road Initiative,Chongqing Social Science Planning Office[Grant number.2021WYZX12].
文摘The innovative city pilot policy(ICPP)is an essential manifestation of China’s construction of an innovative and green-driven development country.We incorporated urban green total factor productivity(GTFP)growth into the evaluation of ICPP.Based on the panel data of 223 cities in China from 2005 to 2020,we used the difference-in-differences model to empirically assess the influence and mechanism of the ICPP on urban GTFP growth.The main results show that(i)The ICPP has maintained an effectively fluctuating promotion on urban GTFP growth,mainly manifested in the urban green technological progress improvement.(ii)The ICPP has urban heterogeneity in promoting GTFP growth in pilot cities,mainly affecting key cities such as provincial capitals.(iii)The interaction between the agglomeration of producer services and the ICPP inhibits GTFP growth in pilot cities.
基金General Research Fund of Philosophy and Social Sciences in Colleges and Universities of Jiangsu Province in 2020(Grant Number 2020SJA1008)Fundamental Research Funds for the Central Universities(Grant Number 2023SK04)。
文摘The enhancement of industrial green total factor productivity is pivotal for achieving high-quality and sustainable economic development.This study assesses China’s performance using the SBM-GML model,employing province-level panel data spanning from 2004 to 2020.Furthermore,we examine the influence of green finance and technological progress on industrial green total factor productivity using a spatial econometric model.The findings uncover that the relationship between the level of green financial development and industrial green total factor productivity follows a U-shaped curve.Initially,low levels of green financial development exert a suppressive effect on industrial green total factor productivity,proving ineffective in the short term.However,with the progression of green finance development,a positive and significant long-term impact on industrial green total factor productivity emerges.Moreover,technological progress demonstrates a noteworthy promotional effect on industrial green total factor productivity.The analysis delves deeper into revealing that industrial structure and environmental regulation intensity exhibit a significant negative relationship with industrial green total factor productivity.In contrast,both energy structure and education level showcase a substantial positive relationship with industrial green total factor productivity.
基金support from the National Natural Science Foundation of China[Grant No.72074183]the Humanities and Social Science Foundation of Chinese Ministry of Education[Grant No.20YJC630104]the National Social Science Foundation of China[Grant No.18ZDA052].
文摘Scale-controlling and technology-upgrading measures are considered effective for mitigating vehicle exhaust emissions.This study investigated the impacts of fuel consumption and vehicle quantities on the total factor inefficiency in China’s highway transport sector during 2011-2015,based on the Bounded Adjusted Measure Data Envelopment Analysis(BAM-DEA)model combined with natural and managerial disposability scenarios.The results showed that the average global inefficiency(GIE)score of the exhaust emissions(CO,HC,NOx,and PM)was 0.41 under the assumption of natural disposability and 0.23 in the managerial disposability situation.Moreover,the main causes of total factor inefficiency scores from the perspective of natural disposability were road length,fuel consumption,and exhaust emissions,whereas those from a managerial disposability perspective were road length and exhaust emissions.These two results suggested that environmental efficiency can be promoted by increasing the quantities of clean-energy vehicles and high-quality gasoline/diesel consumption.In terms of the spatial distribution of GIE,the scores showed a decreasing trend from China’s northwestern inland regions to its southeastern coastal regions under both natural and managerial disposability.Environmental efficiency in some provinces(such as Yunnan)demonstrated good progress under managerial disposability,but other regions did not(such as Hebei and Ningxia).Thus,each province should choose appropriate strategies regarding vehicle quantities and fuel consumption according to the technical inefficiency scores of differing disposability situations.
文摘The National High-tech Zone(NHTZs)is an important strategic platform for cultivating high-tech industries and realizing high-quality economic development in China.Based on the combined data from 2006 to 2014 of the industrial enterprise database,the customs database,and the China Development Zones Audit and Announcement Catalogue(abbreviated asthe Catalogue),this paper systematically investigates the influence of the construction of NHTZs on enterprise’s total factor productivity(TFP).Results show that NHTZs have a positive impact on the TFP of enterprises in the zone,and this conclusion is still valid after considering endogeneity problems.Furthermore,the above productivity effects of NHTZs are heterogeneous in terms of enterprise ownership,external environment and establishment time,and NHTZs have greater stimulation effects on enterprise productivity after comparing with other types of functional zones.An investigation of the specific mechanisms at play shows that NHTZs promote the TFP of enterprises in the zone through the release of preferential policies,strengthening the“technology spillover effects”of imported intermediate goods,enhancing enterprise’s innovation ability and attracting talent.In addition,based on the decomposition of industry productivity,this paper also investigates the impact of NHTZs on changes in industry productivity and finds that NHTZs promote the overall productivity of specific industries mainly by stimulating the productivity improvement of incumbent enterprises and expanding the market share of high-productivity enterprises.Moreover,the preferential policies of NHTZs do not significantly stimulate high-productivity enterprises to enter the zones,nor do they cause low-productivity enterprises to exit.This research is helpful in objectively evaluating the economic effects of the NHTZs in China and in providing a theoretical basis for its further adjustment.
基金Sponsored by Key Research and Development Project of Shandong Province(2016GSF117021)Research Development Program of Colleges and Universities in Shandong Province(J15LD04)Scientific Research Project for Statistics of Shandong Province(2014YBXM210)
文摘This paper analyzed the total factor productivity of Shandong Province and its impact on the local economic environment through Malmquist-Luenberger productivity index. The results of the paper were included as follows. Without consideration of the environmental constraints, Index M of the total factor productivity of Shandong Province from high to low was Heze, Jinan, Qingdao, Weihai, Dongying, Zaozhuang, Jining, Tai'an, Dezhou, Liaocheng, Yantai, Zibo, Weifang, Linyi, Binzhou, Rizhao, Laiwu, among which Index M of Linyi, Binzhou, Rizhao, Laiwuwere were less than 1; taking the environmental constraints into account, Index ML of the total factor productivity of Shandong Province was reduced, from high to low was Jinan, Qingdao, Weihai, Yantai, Heze, Liaocheng, Tai'an, Weifang, Jining, Linyi, Zibo, Dongying, Zaozhuang, Rizhao, Laiwu, Binzhou, Dezhou, among which Index ML of 9 cities behind Jining were less than 1. In terms of the development mode, Jinan, Qingdao, Tai'an, Weihai, Jining and Heze were resource-conserving and environment-friendly cities; Dongying and Zaozhuang were resourceconserving and environment-polluted cities; Liaocheng, Linyi, Weifang and Yantai were resource-wasted and environment-friendly cities; Binzhou, Dezhou, Laiwu, Rizhao and Zibo were resource-wasted and environment-pol uted cities.
