Driving total factor productivity: Capital and labor with tax allocation

Xu, Bing; Sendra-García, Javier; Gao, Yanxia; Chen, Xiaohui

doi:10.1016/j.techfore.2019.119782

Cited by 29 publications

(9 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e control variables LnCI and LnLI coefficients were positive in models ( 13)-( 14), indicating that increased capital and labor inputs could boost economic growth. is result support the work of Gori and Sodini [3,36]. e LnFI coefficients of models ( 13)-( 14) were positive, suggesting that foreign investment could drive economic growth.…”

Section: Spatial Econometric Modelsupporting

confidence: 84%

Influence of Industry-University Cooperation on Economic Development: A Mathematical Statistical Analysis

Zhu

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Technical innovation is an important means to achieve sustainable development. Industry-university cooperation is a new form of technological innovation. Most of the existing researches on industry-university cooperation focus on the analysis of industry-university cooperation models, but there are few researches on the examination of the relationship between industry-university cooperation and economic development. Using the spatial autocorrelation and spatial measurement model, the relationship between China’s industry-university cooperation and economic development was empirically investigated. The results indicate that, first, the nighttime light data could be used as a proxy variable for GDP data to characterize China’s economic development. Second, industry-university cooperation had a positive effect on China’s economic development. Third, industry-university cooperation affected China’s economic development through technological innovation.

show abstract

Section: Spatial Econometric Modelsupporting

confidence: 84%

Influence of Industry-University Cooperation on Economic Development: A Mathematical Statistical Analysis

Zhu

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…There are no areas where predicted support levels stay precisely constant because the probabilities are continuous. 22 We also reproduced Figures 3 and 4 using the actual changes in areas eligible for RSA rather than the predicted changes. Consistent with our concern over endogeneity, there is evidence of pre-trends in the expected direction using the actual changes.…”

Section: A Main Resultsmentioning

confidence: 99%

Some Causal Effects of an Industrial Policy

Criscuolo

Martin

Overman

et al. 2019

American Economic Review

341

152

View full text Add to dashboard Cite

We exploit changes in the area-specific eligibility criteria for a program to support jobs through investment subsidies. European rules determine whether an area is eligible for subsidies, and we construct instrumental variables for area eligibility based on parameters of these rule changes. Areas eligible for higher subsidies significantly increased jobs and reduced unemployment. A 10-percentage point increase in the maximum investment subsidy stimulates a 10 percent increase in manufacturing employment. This effect exists solely for small firms: large companies accept subsidies without increasing activity. There are positive effects on investment and employment for incumbent firms but not Total Factor Productivity. (JEL E24, G31, H25, L25, L52, R23)

show abstract

“…Policies and market demand related to carbon neutrality development will promote the research and application of green technologies, driving technological progress and innovation, thereby improving production efficiency and total factor productivity [ 20 ]. In this context, the core of carbon neutrality promoting total factor development lies in technological innovation [ 21 , 22 ]. They believe that technological innovation and improved resource allocation efficiency are the main ways to enhance total factor productivity, and carbon neutrality development provides a solid foundation for pursuing these avenues.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial effect of carbon neutrality target on high-quality economic development—Channel analysis based on total factor productivity

Cui,

Zhong,

Cao

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

This study utilizes panel data from 30 provinces in mainland China from 2011 to 2020 to investigate the impact of carbon-neutral development on economic high-quality development by constructing an economic high-quality development index and a carbon-neutral development index. Firstly, the study examines the effects of carbon-neutral development on economic high-quality development using baseline regression and spatial Durbin regression. The results indicate that carbon-neutral development has a positive direct effect on economic high-quality growth, but there are negative spatial spillover effects. Secondly, this study employs total factor productivity (TFP) as an intermediate variable in the mediation model regression. The findings demonstrate that carbon-neutral development significantly improves TFP, and the significant improvement in TFP promotes high-quality economic growth. Lastly, the study conducts regional heterogeneity analysis and finds a significant promoting effect of carbon-neutral development on economic high-quality development in the eastern and central regions of China, while it is not significant in the western region. Therefore, it is recommended that China, in the process of achieving carbon-neutral growth, consider the geographical connections between different regions to prevent negative spillover effects. Additionally, regional heterogeneity should be taken into account when formulating relevant policies to promote economic high-quality development.

show abstract

Driving total factor productivity: Capital and labor with tax allocation

Cited by 29 publications

References 10 publications

Influence of Industry-University Cooperation on Economic Development: A Mathematical Statistical Analysis

Influence of Industry-University Cooperation on Economic Development: A Mathematical Statistical Analysis

Some Causal Effects of an Industrial Policy

Spatial effect of carbon neutrality target on high-quality economic development—Channel analysis based on total factor productivity

Contact Info

Product

Resources

About