Examining the effects of education level inequality on energy consumption: Evidence from Guangdong Province

Wang, Shaojian; Xie, Zihan; Wu, Rong

doi:10.1016/j.jenvman.2020.110761

Cited by 42 publications

(22 citation statements)

References 50 publications

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“…These highly educated people with an international perspective contribute considerably to the implementation of “Made in China 2025” (Li, 2018). Better educational development is usually accompanied by a higher level of economic development, higher production capacity, higher income, and larger industrial production scale (Wang et al, 2020), which further promotes inclusive green growth.…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

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The emerging driving force of inclusive green growth: Does digital economy agglomeration work?

et al. 2022

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Inclusive green growth, which considers green growth, inclusive growth and growth, is a sustainable development model that aims to pursue the comprehensive and harmonious growth of humans, the economy, society, and the environment. Against the backdrop of the pandemic as well as sluggish economic development, the global economy is endowed with a driving mission that may affect inclusive green growth. This research primarily discusses the influence of digital economy agglomeration on inclusive green growth and its transmission mechanism in China. Specifically, the slacks-based measure of directional distance functions (SBM-DDF) model was integrated with the global Malmquist-Luenberger index (GML) to calculate inclusive green growth at the city level for 282 cities in China during 2004-2019. A measurement system for the digital economy level was constructed, and the degree of digital economy agglomeration in each region was further measured through geographic concentration. Based on these analyses, this research points out that digital economy agglomeration exerts a positive influence on inclusive green growth. The transmission mechanism analysis indicates that inclusive green growth is influenced by digital economy agglomeration through energy consumption, environmental pollution, economic growth, human capital, industrial structure, and technological progress. Moreover, taking the "Broadband China" pilot policy as the starting point, a spatial difference-in-differences (SDID) model was used to analyze the policy effect. The results suggest that the "Broadband China" policy is conducive to enhancing local inclusive green growth, while it inhibits inclusive green growth in neighboring cities.

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Section: Empirical Results and Discussionmentioning

confidence: 99%

“…development is usually accompanied by a higher level of economic development, higher production capacity, higher income, and larger industrial production scale (Wang et al, 2020), which further promotes inclusive green growth.…”

Section: Nonlinear Testmentioning

confidence: 99%

The emerging driving force of inclusive green growth: Does digital economy agglomeration work?

et al. 2022

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“…The majority of participants of our MOOC course were from Jiangsu, a developed province of coastal areas in China, with its people relatively richer and further educated ( 1 , 3 , 32 ). As a province with rapid economic development, Guangdong had the third most registered participants, holding the leading position in both GDP and financial revenue ( 33 , 34 ). Taking into consideration China's large surface area and the uneven distribution of regional development, we further analyzed data from different regions (eastern, central and western), which might provide us with more information on the correlation of participants and socioeconomic factors.…”

Section: Discussionmentioning

confidence: 99%

Digital Divide in Online Education During the COVID-19 Pandemic: A Cosmetic Course From the View of the Regional Socioeconomic Distribution

Sun

Xiong

et al. 2022

Front. Public Health

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Objectives: During the pandemic, quarantine has led to the lockdown of many physical educational institutions. Thus, massive open online courses (MOOCs) have become a more common choice for participants. MOOCs are often flagged as supplemental methods to educational disparities caused by regional socioeconomic distribution. However, dissenters argue that MOOCs can exacerbate the digital divide. This study aimed to compare the participants' performance before and after the outbreak of COVID-19, analyze the impact of the epidemic on online education of cosmetic dermatology from the view of the regional socioeconomic distribution, and investigate whether MOOCs exacerbate the digital divide in the COVID-19 epidemic.Methods: The study was conducted in participants of the MOOC course Appreciation and Analysis of Cosmetics from January 2018 to December 2020. Based on the platform data and official socioeconomic statistics, correlation of multivariate analysis was used to determine the factors related to the number of total participants. A panel regression model and stepwise least squares regression analysis (STEPLS) were employed to further analyze the relationship between GDP, population, number of college students and number of total participants in different years in the eastern, central and western regions of China.Results: The number of total participants in 2020 surged 82.02% compared with that in 2019. Completion rates were generally stable in 2018 and 2019 before the COVID-19 pandemic and significantly decreased in 2020 after the outbreak of the pandemic. GDP was the most important socioeconomic factor that determined the total number of participants and it was positively related to the total number of participants before and after the outbreak of the pandemic. The number of college students was unrelated to the total number of participants before the epidemic, and after the outbreak of COVID-19 in 2020, the number became positively related in all regions of China.Conclusions: This study shows that the epidemic pushes more people to choose MOOCs to study cosmetic dermatology, and online education could exacerbate rather than reduce disparities that are related to regional and socioeconomic status in the cosmetic field in the COVID-19 pandemic.

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“…Older people have the habit of thrift, which has a restraining effect on energy use, while young people prefer a lifestyle of high carbon emission, which is closely related to their pursuit of modern lifestyle and their psychology of showing off [20,21]. Highly educated householders have stronger awareness of environmental protection and energy conservation, that is, habits, and are more willing to invest in energy conservation and environmental protection [22,23].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Impact Mechanism of Demand Side of Urban Residents’ Electricity Consumption: Analysis Based on Microscopic Survey Data

et al. 2021

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With the further acceleration of urbanization in China, the proportions of both urban residents’ energy consumption and energy-consuming terminal electricity are showing an increasing trend at the same time. In view of the dynamic and time-varying complex system characteristics of power system, it is of great significance to study the impact mechanism of urbanization residents’ electricity consumption on the realization of demand-side management (DSM) and environmental protection. Based on the one-year follow-up survey data obtained from household meter reading, this paper studies the impact mechanism of urban residents’ electricity consumption in different seasons (summer, winter, and the whole year) and terminals (with and without air-conditioning and full samples) by descriptive analysis and multiple linear regression model. The results show that, on the whole, electricity is a necessity for urban households and does not change significantly with changes in income. At the turn of summer and autumn and the turn of winter and spring, high-income families tend to use higher levels of energy in pursuit of comfort, while low- and middle-income families do not have luxury consumption. In different seasons, the influence mechanism of household electricity consumption at different terminals is different.

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Examining the effects of education level inequality on energy consumption: Evidence from Guangdong Province

Cited by 42 publications

References 50 publications

The emerging driving force of inclusive green growth: Does digital economy agglomeration work?

The emerging driving force of inclusive green growth: Does digital economy agglomeration work?

Digital Divide in Online Education During the COVID-19 Pandemic: A Cosmetic Course From the View of the Regional Socioeconomic Distribution

Research on Impact Mechanism of Demand Side of Urban Residents’ Electricity Consumption: Analysis Based on Microscopic Survey Data

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