Employment is the greatest livelihood.Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an“icing on the cake”or“adding fuel to the fire”needs further...Employment is the greatest livelihood.Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an“icing on the cake”or“adding fuel to the fire”needs further study.This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy.First,from the theoretical logic and the economic development law,this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs.Then,based on the panel data of 269 cities in China from 2006 to 2021,we use the two-way fixed effect model,dynamic threshold model,and two-stage intermediary effect model.The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism.Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the“creation effect”.In other words,advanced digital technology has created additional jobs,and the overall supply of employment in the labor market has increased.The conclusion is still valid after the endogeneity identification and robustness test.In addition,the positive effect has a nonlinear effect on the network scale.When the installation density of industrial robots exceeds a particular threshold value,the division of labor continues to deepen under the combined action of the production efficiency and compensation effects,which will cause enterprises to increase labor demand further.Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions.This study concludes that in the digital China era,the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market.This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.展开更多
Digital innovation demonstrates signifcant potential in fostering high-quality enterprise development.Using data from listed companies in the Chang-Zhu-Tan urban agglomeration of Hunan Province from 2003 to 2023,this ...Digital innovation demonstrates signifcant potential in fostering high-quality enterprise development.Using data from listed companies in the Chang-Zhu-Tan urban agglomeration of Hunan Province from 2003 to 2023,this study empirically examines the impact of digital innovation on total factor productivity(TFP).A dynamic panel threshold model is further employed to explore the moderating and threshold effects of managerial characteristics.The results indicate that digital innovation signifcantly promotes TFP.Managerial myopia and environmental attention exhibit notable moderating and threshold effects in the relationship between digital innovation and TFP.When managerial myopia exceeds a certain threshold,the effect of digital innovation on TFP shifts from positive to negative.Conversely,when managerial environmental attention surpasses a threshold,the positive effect of digital innovation on TFP becomes evident.Heterogeneity analysis reveals that digital innovation plays a particularly prominent role in enhancing TFP among non-high-tech frms,non-state-owned enterprises,and companies located outside the core Chang-Zhu-Tan region.展开更多
In recent years,with the increasing attention paid to climate risks,the changes in climate policies are also more full of uncertainties,which have brought tremendous impact to economic entities,including companies.Usi...In recent years,with the increasing attention paid to climate risks,the changes in climate policies are also more full of uncertainties,which have brought tremendous impact to economic entities,including companies.Using the dynamic threshold model,this study investigates the nonlinear and the asymmetric effect of climate policy uncertainty on Chinese firm investment decisions with panel data of 128 Chinese energy-related companies from 2007 to 2019.The empirical findings indicate that the influence of climate policy uncertainty on firm investment is significantly nonlinear.Overall,climate policy uncertainty is not apparently related to corporate investments in the high-level range,while it negatively affects the investments in the low-level range.In addition,to be more specific,the negative impact of climate policy uncertainty on the mining industry is tremendous,while the influence on the production and supply of electricity,heat,gas,and water sector is remarkably positive.The results of this study could help the company managers and policymakers to arrange appropriate related strategies under different climate policy conditions.展开更多
Traditional transportation development has yielded significant economic and social ben-efits,but it has also led to increased pollution emissions and substantial environmental impacts.Transport has become a major sour...Traditional transportation development has yielded significant economic and social ben-efits,but it has also led to increased pollution emissions and substantial environmental impacts.Transport has become a major source of carbon emissions in China.Against the backdrop of national goals for"carbon peak"and"carbon neutrality",the development of smart transportation offers a fresh perspective on reducing carbon emission intensity.In this study,both provincial and enterprise-level data from China are used to examine the critical role of smart transportation in reducing carbon emission intensity from both macro and micro perspectives,and the dynamic threshold model is employed to validate the inverted U-shaped relationship between the energy structure and digital infrastructure in the carbon reduction process facilitated by smart transportation.In addition,in this mechanism,green innovation and the digital economy play pivotal roles.Multiple robustness tests confirmed the reliability of the empirical analysis.This study highlights the important role of smart transport in carbon intensity and provides valuable insights for developing countries aimed at transitioning toward environmentally friendly,low-carbon,intelligent and advanced transport.展开更多
文摘Employment is the greatest livelihood.Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an“icing on the cake”or“adding fuel to the fire”needs further study.This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy.First,from the theoretical logic and the economic development law,this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs.Then,based on the panel data of 269 cities in China from 2006 to 2021,we use the two-way fixed effect model,dynamic threshold model,and two-stage intermediary effect model.The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism.Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the“creation effect”.In other words,advanced digital technology has created additional jobs,and the overall supply of employment in the labor market has increased.The conclusion is still valid after the endogeneity identification and robustness test.In addition,the positive effect has a nonlinear effect on the network scale.When the installation density of industrial robots exceeds a particular threshold value,the division of labor continues to deepen under the combined action of the production efficiency and compensation effects,which will cause enterprises to increase labor demand further.Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions.This study concludes that in the digital China era,the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market.This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.
基金supported by the Natural Science Foundation of Hunan Province(Grant No.2024JJ5454)the Natural Science Foundation of Changsha City(Grant No.kq2402245).
文摘Digital innovation demonstrates signifcant potential in fostering high-quality enterprise development.Using data from listed companies in the Chang-Zhu-Tan urban agglomeration of Hunan Province from 2003 to 2023,this study empirically examines the impact of digital innovation on total factor productivity(TFP).A dynamic panel threshold model is further employed to explore the moderating and threshold effects of managerial characteristics.The results indicate that digital innovation signifcantly promotes TFP.Managerial myopia and environmental attention exhibit notable moderating and threshold effects in the relationship between digital innovation and TFP.When managerial myopia exceeds a certain threshold,the effect of digital innovation on TFP shifts from positive to negative.Conversely,when managerial environmental attention surpasses a threshold,the positive effect of digital innovation on TFP becomes evident.Heterogeneity analysis reveals that digital innovation plays a particularly prominent role in enhancing TFP among non-high-tech frms,non-state-owned enterprises,and companies located outside the core Chang-Zhu-Tan region.
文摘In recent years,with the increasing attention paid to climate risks,the changes in climate policies are also more full of uncertainties,which have brought tremendous impact to economic entities,including companies.Using the dynamic threshold model,this study investigates the nonlinear and the asymmetric effect of climate policy uncertainty on Chinese firm investment decisions with panel data of 128 Chinese energy-related companies from 2007 to 2019.The empirical findings indicate that the influence of climate policy uncertainty on firm investment is significantly nonlinear.Overall,climate policy uncertainty is not apparently related to corporate investments in the high-level range,while it negatively affects the investments in the low-level range.In addition,to be more specific,the negative impact of climate policy uncertainty on the mining industry is tremendous,while the influence on the production and supply of electricity,heat,gas,and water sector is remarkably positive.The results of this study could help the company managers and policymakers to arrange appropriate related strategies under different climate policy conditions.
文摘Traditional transportation development has yielded significant economic and social ben-efits,but it has also led to increased pollution emissions and substantial environmental impacts.Transport has become a major source of carbon emissions in China.Against the backdrop of national goals for"carbon peak"and"carbon neutrality",the development of smart transportation offers a fresh perspective on reducing carbon emission intensity.In this study,both provincial and enterprise-level data from China are used to examine the critical role of smart transportation in reducing carbon emission intensity from both macro and micro perspectives,and the dynamic threshold model is employed to validate the inverted U-shaped relationship between the energy structure and digital infrastructure in the carbon reduction process facilitated by smart transportation.In addition,in this mechanism,green innovation and the digital economy play pivotal roles.Multiple robustness tests confirmed the reliability of the empirical analysis.This study highlights the important role of smart transport in carbon intensity and provides valuable insights for developing countries aimed at transitioning toward environmentally friendly,low-carbon,intelligent and advanced transport.
