Multiple relationships between fixed-asset investment and industrial structure evolution in China–Based on Directed Acyclic Graph (DAG) analysis and VAR model

Wang, Rui; Zhong-ying, QI; Shu, Yumin

doi:10.1016/j.strueco.2020.09.001

Cited by 28 publications

(9 citation statements)

References 51 publications

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“…This paper refers to Wang et al (2020) using the fixed capital investment price index (previous year = 1) from the China Statistical Yearbook to deflate the fixed capital investment price (current year price) to obtain the total fixed-asset investment in constant prices with 2001 as the base period, and then use Equation 11to calculate the total fixed capital stock in constant prices with 2001 as the base period.…”

Section: Fixed Capital Stockmentioning

confidence: 99%

Do more get more: Monopoly appropriation of labor income in manufacturing companies

Cui

An-Wei

Kumari

2022

Front. Environ. Sci.

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In recent years, the overtime culture has generally emerged in Chinese enterprises (CEs), the length of workers’ working hours has been lengthened, and their intensity has increased. Still, the labor income share has declined, which deserves in-depth analysis. This paper introduces a relative labor intensity indicator to estimate the trend of the labor income share based on the general factor-enhanced CES production function in China. The econometric model is then introduced to analyze in-depth the influencing factors leading to this trend using relevant data from 2001 to 2020. If the elasticity of substitution is less than 1 and capital and labor are complementary, then the labor income share tends to decrease. This is because the relative labor intensity tends to increase while the growth rate of the capital-labor ratio tends to decrease. The empirical results also show that the decrease in labor income share and labor compensation is related to monopoly and the amount of capital input. If the amount of capital input is higher and the degree of monopoly is higher, then the labor income is lower, and the share of labor income is lower. Monopolies and capital intercept most of the value created because of the increased labor intensity, and laborers receive only a small profit.

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Section: Fixed Capital Stockmentioning

confidence: 99%

Do more get more: Monopoly appropriation of labor income in manufacturing companies

Cui

An-Wei

Kumari

2022

Front. Environ. Sci.

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“…When non-stationary time series are used for simulation analysis, there will be a phenomenon of spurious regression and the estimated parameters will be deviated ( Wang et al, 2020 ). The unit root tests ADF, PP, and KPSS are applied to confirm the effective results.…”

Section: Resultsmentioning

confidence: 99%

Impact of COVID-19 on private driving behavior: Evidence from electric vehicle charging data

Zhou

2022

Transport Policy

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“…Modeling on Borland and Coelli (2017) [ 64 ], this study uses the logarithm of the annual social fixed asset investment across the information technology (IT), computer services, and software sectors in each province for the purpose of capturing the degree of regional AI development. Fixed asset investment is an indicator of constructing and acquiring fixed assets completed in some period of time manifested as currency, which has a decisive contribution to the formation, as well as advancement, in industries within a region [ 65 ], so the whole society fixed asset investment within the IT, computer services, and software sectors directly determines the extent of AI development within the area; hence, this study uses this indicator to represent AI. In this paper, the squaring parameter of AI is also included for verifying the possible nonlinearity of the association of AI with GTFP.…”

Section: Methodsmentioning

confidence: 99%

Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect

Fang

Cao

Sun

2022

IJERPH

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Artificial intelligence (AI) is the core technology of digital economy, which leads the transition to a sustainable economic growth approach under the Chinese-style environmentally decentralized system. In this paper, we first measured the green total factor productivity (GTFP) of 30 Chinese provinces from 2011 to 2020 using the super-efficiency slacks-based measure (SBM) model, analyzed the mechanism of the effect of AI on GTFP under the environmental decentralization regime, and secondly, empirically investigated the spatial evolution characteristics and the constraining effect of the impact of AI on GTFP using the spatial Durbin model (SDM) and the threshold regression model. The findings reveal: a U shape of the correlation of AI with GTFP; environmental decentralization acts as a positive moderator linking AI and GTFP; the Moran index demonstrates the spatial correlation of GTFP; under the constraint of technological innovation and regional absorptive capacity as threshold variables, the effect of AI over GTFP is U-shaped. This paper provides a useful reference for China to accelerate the formation of a digital-driven green economy development model.

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Multiple relationships between fixed-asset investment and industrial structure evolution in China–Based on Directed Acyclic Graph (DAG) analysis and VAR model

Cited by 28 publications

References 51 publications

Do more get more: Monopoly appropriation of labor income in manufacturing companies

Do more get more: Monopoly appropriation of labor income in manufacturing companies

Impact of COVID-19 on private driving behavior: Evidence from electric vehicle charging data

Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect

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