New-type infrastructure and total factor productivity: evidence from listed manufacturing firms in China
In: Economic change & restructuring, Band 56, Heft 6, S. 4465-4489
ISSN: 1574-0277
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In: Economic change & restructuring, Band 56, Heft 6, S. 4465-4489
ISSN: 1574-0277
In: Environmental science and pollution research: ESPR, Band 30, Heft 44, S. 99541-99560
ISSN: 1614-7499
In: Economic Analysis and Policy, Band 78, S. 343-357
In: Environmental science and pollution research: ESPR, Band 27, Heft 29, S. 36147-36159
ISSN: 1614-7499
In: Sage open, Band 14, Heft 3
ISSN: 2158-2440
The global economy is accelerating its transformation from an industrial economy to a digital economy, and the digital transformation of the manufacturing industry has become an important trend worldwide. Based on China's provincial panel data from 2004 to 2020, this study uses a dynamic panel model to investigate the role of digitization in the transformation and upgrading of the manufacturing industry. The empirical results show that digitalization has significantly improved the green total factor productivity (GTFP) of the manufacturing industry, while it has significantly inhibited investment in fixed assets. The analysis of regional heterogeneity shows that in areas with scarce labor, abundant human capital, and areas with high innovation investment, digitalization has a larger effect on promoting productivity and inhibiting the expansion of investment scale. In the regions with more outward foreign direct investment, the effect of digitalization on improving productivity is insignificant, and the effect on inhibiting the expansion of investment scale is larger, implying that there is a risk of industrial hollowing out. Further analysis finds that digitalization improves the GTFP of regional manufacturing through mechanisms such as enhancing innovation capabilities, promoting industrial upgrading, and improving investment efficiency, and reduces manufacturing fixed asset investment through channels such as human capital upgrades and rising labor costs.
In: Economic Analysis and Policy, Band 82, S. 769-783
In: Socio-economic planning sciences: the international journal of public sector decision-making, Band 91, S. 101767
ISSN: 0038-0121
In: Sage open, Band 13, Heft 4
ISSN: 2158-2440
Based on 14,020 observations of Chinese A-share listed SMEs from 2007 to 2021, this study uses the difference-in-differences (DID) model to investigate the impact of cross-border e-commerce on enterprises' international competitiveness. The results show that the comprehensive pilot zone of cross-border e-commerce significantly promotes SMEs' overseas business income of SMEs, indicating that cross-border e-commerce is a powerful tool for improving corporate international competitiveness. In addition, the total factor productivity (TFP) of SMEs has been significantly improved in the process of expanding overseas markets. The triple DID model shows that the pilot policies of cross-border e-commerce significantly promoted the TFP of international enterprises, which means that cross-border e-commerce is conducive to improving international competitiveness. This study also verifies the market information mechanism of cross-border e-commerce, which enables SMEs to improve their international competitiveness. Developing and emerging countries should accelerate the institutional reform of digital trade to facilitate SME internationalization.
In: Socio-economic planning sciences: the international journal of public sector decision-making, Band 88, S. 101647
ISSN: 0038-0121
In: Environmental science and pollution research: ESPR, Band 30, Heft 6, S. 14693-14706
ISSN: 1614-7499
In: Emerging markets, finance and trade: EMFT, Band 58, Heft 8, S. 2125-2138
ISSN: 1558-0938
In: Emerging markets, finance and trade: EMFT, Band 60, Heft 4, S. 631-649
ISSN: 1558-0938
In: Information economics and policy, Band 61, S. 101007
ISSN: 0167-6245
In: Energy economics, Band 104, S. 105613
ISSN: 1873-6181
In: Environmental science and pollution research: ESPR, Band 28, Heft 39, S. 54826-54841
ISSN: 1614-7499