How Does Capital Intensity Affect the Relationship between Outward FDI and Productivity? Micro-evidence from Chinese Manufacturing Firms

Chao, Zhou

doi:10.1080/1540496x.2020.1784138

Cited by 13 publications

(9 citation statements)

References 22 publications

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“…In the digital economy era, companies will transform into capitalintensive and technology-intensive enterprises by upgrading their technological capital [13]. In fact, Zhou's study further confirms that capital intensity significantly positively affects firm productivity [20], with capital-intensive firms exhibiting more efficiency and technological advantages. At the same time, the effect of capital and technology to achieve efficiency growth by supplanting labor cannot be neglected.…”

Section: Literature Review and Hypothesismentioning

confidence: 87%

“…It is worth noting that firms are moving toward capital-intensive and technology-intensive in the digital era. On the one hand, digital transformation enhances the efficiency of enterprise resource allocation, and enterprises use more technological means and machines, etc., to replace laborers [10,11,13,20,24], thus achieving capital deepening; on the other hand, the digitization of production factors expands the boundaries of allocable factors possessed by transforming enterprises, and also increases the factor allocation efficiency of the technical and organizational basis, thus accelerating the technological innovation process of firms [1,2,8]. Therefore, this study constructs two mediating variables, capital intensity (CI) and innovation input (R&D), for analysis.…”

Section: Digital Transformation and Labor Productivitymentioning

confidence: 99%

“…An increase in capital intensity will have a positive impact on the productivity of the firm [20][21][22]. In the digital economy era, companies will transform into capitalintensive and technology-intensive enterprises by upgrading their technological capital [13].…”

Section: Literature Review and Hypothesismentioning

confidence: 99%

See 2 more Smart Citations

How Digital Transformation of Enterprises Can Improve Labor Productivity: Evidence from Chinese-Listed Companies

Zhang

2023

Atlantis Highlights in Intelligent Systems

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This paper examines the impact of digital transformation on labor productivity as firms drive digital transformation through the adoption of digital information technologies such as artificial intelligence, cloud computing, and big data, as well as the intermediate mechanisms and heterogeneity of this relationship. The results show that digital transformation improves firms' labor productivity, and confirming that increased capital intensity and innovation investment are intermediate mechanisms for achieving this relationship, but that regional differences in development significantly weaken the positive impact of digital transformation on labor productivity. The results also show that the internal skill structure of employees and the external human capital environment have a significant impact on labor productivity when firms are actively engaged in digital transformation. We provide effective strategies for digital transformation and performance improvement of firms from a labor productivity perspective.

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Section: Literature Review and Hypothesismentioning

confidence: 87%

Section: Digital Transformation and Labor Productivitymentioning

confidence: 99%

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How Digital Transformation of Enterprises Can Improve Labor Productivity: Evidence from Chinese-Listed Companies

Zhang

2023

Atlantis Highlights in Intelligent Systems

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“…Capital intensity has been validated as a major control factor in affecting the export performance and competitive advantage of manufacturing firms through their commitment of operational resources and the quality of their products (Golovko et al, 2022;Hansson and Lundin, 2004). Capital investment allows firms to gain additional capacity for new product development and technical progress, thereby affecting their ability to achieve a competitive advantage in international markets (Neves et al, 2016;Lee and Kwon, 2021;Zhou, 2021). In general, capital-intensive firms have greater potential to renovate their production processes and initiate product innovation, thereby enhancing their competitive edge amid intense competition (Adetunji and Owolabi, 2016;Lee et al, 2019).…”

Section: Bijmentioning

confidence: 99%

Complex interplay of R&D, advertising and exports in USA manufacturing firms: differential effects of capabilities

Kwon,

Lee,

Brennan

2024

BIJ

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PurposeThis study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.Design/methodology/approachThis study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.FindingsThis study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.Practical implicationsThe proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.Originality/valueUsing the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.

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“…Control variables. We set a number of control variables in terms of both individual firm and regional attributes, where individual firm attributes include the firm ownership structure [23], firm export behavior [38], firm production efficiency [39], firm wage burden [40], firm overcapacity [41], firm pollution emissions [42], and firm financing constraints [43]. We describe the nature of firm ownership with state-owned firms represented by 1 and private firms represented by 0 (ownership).…”

Section: Variable Selectionmentioning

confidence: 99%

The Location Choice and Survival of Polluting Firms under Environmental Regulation in Urban Agglomerations of China

Li,

Zhou,

Zhang

2023

Sustainability

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There are few studies discussing the relationship between the increasing intensity of environmental regulation in the central cities of urban agglomerations, which is the main method used to solve the problem of regional environmental pollution, with the survival status of polluting firms in different spatial locations. In order to more clearly describe the evolution trend of the spatial distribution of polluting firms and coordinate inter-city environmental regulation policies in a more targeted manner, we examine the impact of polluting firms’ location choice on their survival under the central–periphery spatial structure in national-level urban agglomerations from 1998 to 2013 with the accelerated failure time (AFT) model and Cox proportional hazards (Cox PH) model and using matching data of the Chinese Industrial Enterprise Database and the Chinese Industrial Enterprise Pollution Emission Database. The results find that (1) under the influence of central cities’ environmental regulations, there is likely to be an inverted U-shaped relationship between the survival of polluting firms and their spatial distance from the central cities; (2) the inverted U-shaped relationship is the motivation of the interaction between environmental regulation and market potential, which means increases in the environmental regulation intensity in the central cities of the urban agglomeration will have a negative effect on the survival of polluting firms, and the central cities’ market potential will partially offset the negative impact; (3) the inverted U-shaped relationship is more significant for private firms, and it does not necessarily exist for new entrants. The above results help to provide important policy inspiration for promoting the joint prevention and control mechanism for pollution in urban agglomerations and coordinate the effects of environmental regulation and economic transformation policies between central and peripheral cities.

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How Does Capital Intensity Affect the Relationship between Outward FDI and Productivity? Micro-evidence from Chinese Manufacturing Firms

Cited by 13 publications

References 22 publications

How Digital Transformation of Enterprises Can Improve Labor Productivity: Evidence from Chinese-Listed Companies

How Digital Transformation of Enterprises Can Improve Labor Productivity: Evidence from Chinese-Listed Companies

Complex interplay of R&D, advertising and exports in USA manufacturing firms: differential effects of capabilities

The Location Choice and Survival of Polluting Firms under Environmental Regulation in Urban Agglomerations of China

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