Does ICT create a new driving force for manufacturing?—Evidence from Chinese manufacturing firms

Li, Dongkun; Chen, Yufeng; Miao, Jiafeng

doi:10.1016/j.telpol.2021.102229

Cited by 37 publications

(9 citation statements)

References 41 publications

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“…Britos et al (2022) also confirmed that the degree of distortion in the land market in each region is related to road accessibility, ethnicity, and education level. Based on the data of listed manufacturing enterprises in China from 2010 to 2019, Li et al (2022) also concluded that information and communications technology is positively correlated with the total factor productivity of manufacturing enterprises, which indirectly proves that the supply of regional science and technology has a positive impact on land allocation.…”

Section: Contributing Factors and Determining Mechanism Of The Spatia...mentioning

confidence: 99%

Assessment and Contributing Factors of the Spatial Misallocation of Construction Land: A Case Study of Shandong, China

Cao

Wang

et al. 2022

Front. Environ. Sci.

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Spatial misallocation is an essential reason for the low utilization efficiency of construction land. Optimizing the spatial pattern of construction land allocation can improve the efficiency of economic operations and resilience to food crisis and climate change challenges. This study constructs a quantitative measurement method for the spatial misallocation of construction land (SMCL), proposes a new government market society support (GMSS) analytical framework for the contributing factors with interlocked relationships, and conducts empirical research in Shandong, China, which is a typical area with a rapid development of construction land and significant regional disparity. It is concluded that the SMCL ensues through the interaction and coevolution of the GMSS system, which plays a key role in adjusting the construction land use sequence, structure, and efficiency under the regulation of the upper government. Effectively using the estimation method based on the equal marginal output principle, the SMCL in Shandong is established as a downward trend, with evident temporal and spatial differentiation characteristics and spatial morphological mode changes, although most sub-regions are significantly approaching the adaptation interval with fluctuation. Furthermore, the empirical results of the regression model indicate that there are different effects and intensities on the SMCL among the contributing factors under the GMSS framework, wherein the local government force has an aggravating and the greatest effect, the market forces have a dual and second-ranking effect, the social forces play a positive but still weak role, and the support system has a differentiated improvement effect. However, the impacts of various dimensional factors on the SMCL also have heterogeneity in the development stages and different regions. Generally, in the low-level development stage and underdeveloped areas, the effect of local government intervention is stronger, the market forces’ importance is lower, and the social forces and support systems remain insufficiently robust.

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Section: Contributing Factors and Determining Mechanism Of The Spatia...mentioning

confidence: 99%

Assessment and Contributing Factors of the Spatial Misallocation of Construction Land: A Case Study of Shandong, China

Cao

Wang

et al. 2022

Front. Environ. Sci.

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“…They found that digitalization could significantly reduce the degree of labor misallocation through the information improvement effect and the thick labor market effect. In terms of capital allocation, Li et al (2022) presented the hypothesis that digitalization can increase the firms' internal management and communication efficiency, optimize the division of work, and reduce internal capital misallocation. Li and Pang (2023) conducted empirical research with the innovation data of Chinese A-share and noted that digitalization could effectively correct the financial mismatch problem in the traditional financial model.…”

Section: Digitalization and Resource Misallocationmentioning

confidence: 99%

Digitalization, resource misallocation and low-carbon agricultural production: evidence from China

Wang

et al. 2023

Front. Environ. Sci.

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With the rapid development of digital technologies such as artificial intelligence, big data and cloud computing, China’s agricultural production is entering a new era characterized by digitalization. Based on provincial panel data of China from 2013 to 2020, this paper adopts the system GMM and mediating effects model to systematically examine the impact of digitalization on low-carbon agricultural production from the perspective of resource misallocation. The results indicate that digitalization can significantly curb agricultural carbon emissions and thus promote low-carbon agricultural production, and this finding still holds after the robustness test. The heterogeneity analysis indicates that the inhibiting effect of digitalization on agricultural carbon emissions is most pronounced in the eastern region relative to the central and western regions (the regression coefficients are −0.400 and −0.126 respectively). Further mechanism analysis suggests that digitalization can reduce agricultural carbon emissions by correcting the widespread capital and labor misallocation in agricultural factor markets. The findings of this study provide significant policy implications for low-carbon agricultural production in China.

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“…Industrial structure is closely related to total factor productivity, energy efficiency, economic security, and green sustainable development [33][34][35], which is why many studies empirically examine the economic, environmental, and social effects of industrial structure. For example, Luan et al [36] found that industrial structure adjustment can act as a positive measure to reduce energy intensity in China.…”

Section: Review Of Related Literaturementioning

confidence: 99%

“…For example, the virtual reality industry can be applied in various service industries to promote productivity improvements and scale expansion. Second, industrial digitalization can be integrated with primary, secondary, and tertiary industries to improve the mechanization and informatization of primary industry, enhance the interconnection and intelligence of secondary industry, and enrich the diversification and customization of tertiary industry, thereby improving the efficiency of production, creating new requirements, and upgrading the industrial structure [34]. This not only promotes industrial economic development, it promotes the industrial extension of manufacturers to the service industry.…”

Section: The Direct Impact Of the Digital Economy On The Industrial S...mentioning

confidence: 99%

Does the Digital Economy Promote Upgrading the Industrial Structure of Chinese Cities?

Zhao

Peng²,

Wen³

et al. 2022

Sustainability

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As the driving force for the upgrading of the global industrial structure, digital technology has been at the helm of transforming the current economic and technological paradigm. This study empirically analyzes the role of the digital economy in the upgrading industrial structure using panel data from 237 prefecture-level cities in China from 2011–2019. Empirical results show that the development of the digital economy has a significant positive and direct effect on the upgrading of industrial structure, as measured by the two indicators of advancement and servitization. In addition, the digital economy significantly promotes upgrading of the technological progress and human capital of Chinese cities, thus promoting upgrading of the industrial structure. Moreover, the spatial autoregressive model (SAR) and the Spatial Durbin model (SDM) both show that the digital economy has a positive spatial spillover effect on upgrading of the industrial structure.

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Does ICT create a new driving force for manufacturing?—Evidence from Chinese manufacturing firms

Cited by 37 publications

References 41 publications

Assessment and Contributing Factors of the Spatial Misallocation of Construction Land: A Case Study of Shandong, China

Assessment and Contributing Factors of the Spatial Misallocation of Construction Land: A Case Study of Shandong, China

Digitalization, resource misallocation and low-carbon agricultural production: evidence from China

Does the Digital Economy Promote Upgrading the Industrial Structure of Chinese Cities?

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