The influence of trade openness on the level of human capital in China: on the basis of environmental regulation

Shu-qin, MA; Dai, Jun; Wen, Huaide

doi:10.1016/j.jclepro.2019.03.238

Cited by 39 publications

(31 citation statements)

References 25 publications

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“…Hence, good educational policies could change the behavior toward energy efficiency for a campaign of decreasing EC and to support the cleaner environment. Ma et al (2019) investigated and corroborated a Ushaped connection between HC and the environment. At a lower level of education and human capital, people were not supporting the environmental policies and at a higher level of education, environmental policies were supported.…”

Section: Literature Reviewmentioning

confidence: 74%

Level of Education and Renewable Energy Consumption Nexus in Saudi Arabia

Mahmood

2020

HSSR

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Purpose: A level of education may change the energy consumption habits of people. Further, economic growth may also demand cleaner energy consumption for better environmental quality. This research explores the impacts of education and economic growth on the renewable energy consumption of Saudi Arabia. Methodology: This research utilizes the unit root test of Dickey & Fuller (1981), cointegration test of Pesaran et al. (2001), and bound testing values of Kripfganz & Schneider (2020). Main Findings: Income and secondary education increase Renewable Energy Consumption (REC) in the long and short run. Primary education reduces REC in the long run, and the lag of primary education has a positive effect on REC. Implication: This research recommends to increase the level of education to promote renewable energy consumption for a cleaner environment. Novelty: Educational level and renewable energy consumption nexus have not been investigated in Saudi Arabia. Therefore, we claim an empirical contribution.

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Section: Literature Reviewmentioning

confidence: 74%

Level of Education and Renewable Energy Consumption Nexus in Saudi Arabia

Mahmood

2020

HSSR

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“…Third, the multi-indicator method. These are many methods, such as pollutant emission density [14], total industrial output value divided by SO 2 emissions [15], expenditure of industrial waste gas treatment facilities divided by SO 2 emissions [16], the proportion of investment in pollution projects in the total industrial output value [17], the proportion of industrial pollution control and control expenditures in sales [16] and comprehensive index of environmental regulations constructed from industrial SO 2 emissions, industrial smoke and dust emissions, and industrial wastewater discharge removal rates [18]. Fourth, the classification research method.…”

Section: Definition Of Environmental Regulationsmentioning

confidence: 99%

“…In this section, we perform robustness checks by replacing the core independent variable and dependent variables. First, we use GDP per capita (denoted as er1) [13], total industrial output value divided by SO 2 emissions (denoted as er2) [15], and expenditure on industrial waste gas treatment facilities divided by SO 2 emissions (named as er3) to calculate environmental regulations [16]. Second, the calculation of control variables (energy structure ens2, industrialized ind1, industrial structure ins1) is changed.…”

Section: Robustness Checksmentioning

confidence: 99%

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

Fan

Zhou

2020

Sustainability

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Based on a panel data of China’s iron and steel (IS) industry from 2000 to 2014, this paper explores the impact of environmental regulations on CO2 emissions in the industry. The results show that there is a clear inverted-U relationship between environmental regulations and CO2 emissions in the IS industry. Additionally, there are regional heterogeneity and regulatory intensity on the impact of environmental regulations on CO2 emissions. The results in the eastern region are consistent with the whole sample results, while the upward trend in the central region and the downward trend in the western region together lay the basis for the inverted-U shape of the whole sample. High environmental regulations affect CO2 emissions in an inverted-U shape, while low environmental regulations present a U shape. The mechanisms of environmental regulations affecting CO2 emissions are synergy effect and technological innovation effect. Finally, this paper proposes some policy recommendations according to the above findings.

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“…Saying this, we need to mention that segregation of energy usage also entails the technological advancement in these nations, which might be captured by means of technology transfer via trade route (Sinha et al, 2017;Yang et al, 2018;Ma et al, 2019). Therefore, for developed nations, trade openness can be considered as a proxy for economic growth, and trade openness is an enabler of economic growth.…”

Section: Introductionmentioning

confidence: 99%

Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries

Destek

Sinha²

2020

Journal of Cleaner Production

831

226

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The purpose of this study is to examine the validity of EKC hypothesis for ecological footprint with the role of renewable energy use, non-renewable energy use and trade openness in 24 OECD countries. For this purpose, we investigate the period from 1980 to 2013 using with second generation panel data methodologies which allow to cross-sectional dependence among countries.The group-mean results show that the inverted U-shaped EKC hypothesis does not hold in OECD countries because we found the U-shaped relationship between economic growth and ecological footprint. In addition, it is concluded that increasing renewable energy consumption reduces ecological footprint and increasing non-renewable energy consumption increases environmental degradation.

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The influence of trade openness on the level of human capital in China: on the basis of environmental regulation

Cited by 39 publications

References 25 publications

Level of Education and Renewable Energy Consumption Nexus in Saudi Arabia

Level of Education and Renewable Energy Consumption Nexus in Saudi Arabia

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries

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