Labor Mobility Networks and Green Total Factor Productivity DOI Creative Commons
Jiajia He, Zhenghui Li

Systems, Journal Year: 2024, Volume and Issue: 12(5), P. 157 - 157

Published: May 1, 2024

Population migration continues to reshape the spatial pattern of China’s population and regional economic development. During this internal process, production consumption patterns often change, ultimately leading changes in green total factor productivity. This paper, based on Chinese census data 1% sampling survey from 2005 2015, utilizes social network analysis methods measure labor mobility indicators 284 prefecture-level cities. Further, paper analyzes impact mechanisms status productivity using a panel fixed effects model. We find that as density increases, interpersonal connections between regions become closer, exhibits clear “concentrated inflows” “dispersed outflows”, with trend forming strong alliances becoming increasingly apparent. Regions positioned centrally either terms in-degree or out-degree exhibit higher Among these, plays crucial role enhancing through channel technology diffusion effects, which improve investment efficiency via knowledge exchange material capital accumulation. The promotive effect is more pronounced eastern regions, where talent quality higher, areas fewer restrictions household registration system.

Language: Английский

The Impact of Cultural Capital on Economic Growth Based on Green Low-Carbon Endogenous Economic Growth Model DOI Open Access
Bingyue Wan

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 1781 - 1781

Published: Feb. 21, 2024

This paper incorporates cultural capital, urbanization development level and carbon emission reduction input as endogenous factors into the economic growth model. By using optimal control theory based on empirical analysis, this explores relationship between capital green low-carbon growth. finds that at company level, improves technical efficiency institutional of firms then promotes At government investment in urban fixed assets resident transformation environmental protection awareness residents to independently practice behaviors. Firms can research develop digital science technology produce goods, engage consumption, thereby reducing emissions promoting role firms’ R&D, by exploring investment, increase education, impact thinking behavior residents, independent ultimately a economy.

Language: Английский

Citations

3
How does digital payment affect international trade? Research based on the social network analysis method DOI Creative Commons
Zhenghui Li,

Hanzi Chen,

Siting Lu

et al.

Electronic Research Archive, Journal Year: 2024, Volume and Issue: 32(3), P. 1406 - 1424

Published: Jan. 1, 2024

<abstract> <p>Digital payment is one of the latest trendsin modern systems; its development has a profound impact on international trade relations and status countries. We constructed an network by using global commodity data to measure countries' status. Based this, we used panel from 25 countries for period between 2012 2020 employed fixed-effect model test relationship digital Empirical results show that, first, can effectively enhance country's Second, strengthens connections lowering barriers cross-border capital flows, thereby improving Third, effect enhancing varies across with different degrees openness. The findings this study provide theoretical support trade.</p> </abstract>

Language: Английский

Citations

1
House price, gender spatial allocation, and the change of marriage matching DOI Creative Commons
Jiajia He,

Xiuping Zou,

Tinghui Li

et al.

AIMS Mathematics, Journal Year: 2024, Volume and Issue: 9(4), P. 8079 - 8103

Published: Jan. 1, 2024

<abstract> <p>We investigated the relationship between changes in housing prices and marriage patterns among Chinese residents, considering evolving real estate market increasing prevalence of homogamous marriages. Using microdata from China Household Income Project (CHIP) urban price data, our results showed following: First, levels significantly decreased likelihood residents engaging hypergamous mating marrying individuals lower social strata. Second, regional fluctuations could influence residents' marital matches by affecting spatial distribution genders. Specifically, higher level house prices, greater crowding out effect on marriageable men, less likely men that area were to match downwards marry women classes. Third, heterogeneity analysis indicated eastern regions, younger populations, migrants faced pressures process matching, resulting a more substantial impact these groups. The study contributes matching theories offers policy insights for reforms.</p> </abstract>

Language: Английский

Citations

0
The impact of digital economy on the financial risk ripple effect: evidence from China DOI Creative Commons
Zimei Huang, Zhenghui Li

AIMS Mathematics, Journal Year: 2024, Volume and Issue: 9(4), P. 8920 - 8939

Published: Jan. 1, 2024

<abstract> <p>The impact of the digital economy on ripple effect financial risks has attracted attention. Based data flow funds statements (financial accounts), spanning from 2011 to 2020, fund analysis method was used build a model measuring risk effect. Second, we built panel regression model, which studies risks. In addition, explored heterogeneous effects different dimensions Our findings revealed several key conclusions. First, total between and 2020 continued change, types have heterogeneity. negative Third, heterogeneity in Specifically, user index innovation The platform industry insignificant effect.</p> </abstract>

Language: Английский

Citations

0
Research on the moderate range of enterprise financialization and R&amp;D innovation from a nonlinear perspective DOI Creative Commons
Yue Liu, Shan Huang, Z. Wang

et al.

Electronic Research Archive, Journal Year: 2024, Volume and Issue: 32(3), P. 1923 - 1945

Published: Jan. 1, 2024

<abstract> <p>The impact of financialization on R&amp;D innovation in enterprises exhibits typical nonlinear dynamic characteristics. Based this, this study we constructed a threshold regression model to test the moderate range that can maintain positive relationship between and enterprises, also analyzed influencing mechanism by setting interaction term. Considering differences factor intensity various industries, research tested heterogeneity among different industries. Using annual data Chinese listed companies from 2010 2019, following empirical findings were obtained: First, enterprise presents feature, i.e., feature. The level first positively affects after it reaches certain turning point, behavior negatively enterprises. Second, feature which is reflected substitute effect, there are disparities levels. Third, industries with varying levels not only demonstrate intervals, but exhibit significant degree exerted innovation.</p> </abstract>

Language: Английский

Citations

0
Labor Mobility Networks and Green Total Factor Productivity DOI Creative Commons
Jiajia He, Zhenghui Li

Systems, Journal Year: 2024, Volume and Issue: 12(5), P. 157 - 157

Published: May 1, 2024

Population migration continues to reshape the spatial pattern of China’s population and regional economic development. During this internal process, production consumption patterns often change, ultimately leading changes in green total factor productivity. This paper, based on Chinese census data 1% sampling survey from 2005 2015, utilizes social network analysis methods measure labor mobility indicators 284 prefecture-level cities. Further, paper analyzes impact mechanisms status productivity using a panel fixed effects model. We find that as density increases, interpersonal connections between regions become closer, exhibits clear “concentrated inflows” “dispersed outflows”, with trend forming strong alliances becoming increasingly apparent. Regions positioned centrally either terms in-degree or out-degree exhibit higher Among these, plays crucial role enhancing through channel technology diffusion effects, which improve investment efficiency via knowledge exchange material capital accumulation. The promotive effect is more pronounced eastern regions, where talent quality higher, areas fewer restrictions household registration system.

Language: Английский

Citations

0