The Heterogeneous Impacts of Human Capital on Green Total Factor Productivity: Regional Diversity Perspective

Xiao, Hang; You, Jialu

doi:10.3389/fenvs.2021.713562

Cited by 38 publications

(24 citation statements)

References 30 publications

(28 reference statements)

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“…The profit-seeking nature of capital makes the industry focus on the return on investment measured in currency, while ignoring the governance of externalities such as environmental pollution [ 85 , 86 ]. As the industrial upgrading reaches a certain level, the industry gradually transforms from a low value-added, extensive, low-tech one to a high value-added, intensive, and high-tech one [ 87 , 88 ]. Meanwhile, with the implementation of a series of high-quality development strategies, innovation-driven, green development, and other initiatives drive the industrial upgrading process and the green development to run simultaneously, which actively promotes the GEE [ 89 , 90 , 91 ].…”

Section: Literature Review and Hypothesis Proposalmentioning

confidence: 99%

Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods

Liu

Cao

Fan

2022

IJERPH

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To tackle the increasingly severe environmental challenges, including climate change, we should pay more attention to green growth (GG), a path to realize sustainability. Human capital (HC) has been considered a crucial driving factor for developing countries to move towards GG, but the impact and mechanisms for emerging economies to achieve GG need to be further discussed. To bridge this gap, this paper investigates the relation between HC and GG in theory and demonstration perspective. It constructs a systematic theoretical framework for their relationship. Then, it uses a data envelopment analysis (DEA) model based on the non-radial direction distance function (NDDF) to measure the GG performance of China’s 281 prefecture level cities from 2011 to 2019. Ultimately, it empirically tests the hypothesis by using econometric model and LightGBM machine learning (ML) algorithm. The empirical results indicate that: (1) There is a U-shaped relationship between China’s HC and GG. Green innovation and industrial upgrading are transmission channels in the process of HC affecting GG. (2) Given other factors affecting GG, HC and economic growth contribute equally to GG (17%), second only to city size (21%). (3) China’s HC’s impact on GG is regionally imbalanced and has city size heterogeneity.

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Section: Literature Review and Hypothesis Proposalmentioning

confidence: 99%

Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods

Liu

Cao

Fan

2022

IJERPH

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“…One of the most important indicators is green total factor productivity (GTFP), which brings ecological and environmental factors into the assessment criteria of economic development quality and pursues the harmonious coexistence of economic growth and resources and the environment. For example, Xiao and You (2021) used the three-stage data envelopment analysis (DEA) method to calculate the green total factor productivity of 30 provinces in China and found that there were significant regional differences in China's green total factor productivity. Feng et al (2021) also paid attention to the importance of environmental quality to the level of economic development.…”

Section: Literature Reviewmentioning

confidence: 99%

Tax Policies of Low Carbon in China: Effectiveness Evaluation, System Design and Prospects

Feng¹,

et al. 2022

Front. Environ. Sci.

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Fiscal and taxation policy tools play an important role in promoting green and low-carbon development. Based on classical tax theory, including the Potter hypothesis and the environmental Kuznets curve, this paper explores the impact of environmental tax regulation on economic growth and carbon emission reduction. We find that resource tax reform could promote green total factor productivity; however, the ad valorem reform of resource tax does not significantly raise the level of low carbon development. This effect varies among different regions as well as different tax cuts and fee reductions. Fiscal revenue decentralization has a reverse adjustment effect on the impact of resource taxes on green total factor productivity. We conclude that it is necessary to deepen the reform of the fiscal and taxation system to achieve the carbon neutrality and emission peak goal.

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“…First, scientific and technological progress is the core driving force for the transformation of the modes of marine economic development, which helps to improve the quality of marine economic development. Human capital can promote scientific and technological progress through research and development (R&D); create new market demand; and improve the investment, demand, and consumption structures, which then accelerates the optimization and upgrade of industrial structures, brings high-quality and effective supply and promotes the improvement of GTFP [ 48 ].…”

Section: The Mechanisms Of Influencing Factors On the Gtfp ...mentioning

confidence: 99%

Realizing the Improvement of Green Total Factor Productivity of the Marine Economy—New Evidence from China’s Coastal Areas

Ren

Chen

2022

IJERPH

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Paying attention to the mechanisms of the GTFP of the marine economy and designing a scientific and reasonable optimization path are the keys to achieving a “win-win” balance between environmental protection and high-quality marine development. Therefore, this paper considers the rigid constraints of resources and negative environmental effects to construct a multi-factor evaluation model of the GTFP of the marine economy including capital, labor, and resources to expand the evaluation method system for the sustainable development of the marine economy. On this basis, this paper determines the influencing factors of the GTFP of China’s marine economy, qualitatively analyzes the mechanism of each influencing factor on the GTFP of the marine economy, uses multi-dimensional data of coastal areas, quantitatively analyzes the direct and indirect effects of the factors that influence the GTFP, and proposes practical optimization paths and safeguarding measures, which provide a decision-making reference for the implementation of China’s marine development strategy. The results showed that the GTFP of China’s marine economy was in a state of improvement and increased from 0.9878 in 2006 to 1.2789 in 2018. The direct effects of environmental regulations have a negative and significant impact on GTFP, whereas economic development, human capital, and technological innovations have a positive and significant impact on GTFP. In addition, environmental regulations have an “inclined N” double-threshold effect on GTFP. The impact of environmental regulations on the GTFP of the marine economy depends on the intensity of the environmental regulations, as different intensities of environmental regulations have different dominant levels of the “innovation compensation effect” and “offset effect” that affect the GTFP of the marine economy.

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The Heterogeneous Impacts of Human Capital on Green Total Factor Productivity: Regional Diversity Perspective

Cited by 38 publications

References 30 publications

Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods

Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods

Tax Policies of Low Carbon in China: Effectiveness Evaluation, System Design and Prospects

Realizing the Improvement of Green Total Factor Productivity of the Marine Economy—New Evidence from China’s Coastal Areas

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