Does market segmentation necessarily discourage energy efficiency?

Xue, Rui; Yang, Dong

doi:10.1371/journal.pone.0233061

Cited by 14 publications

(13 citation statements)

References 41 publications

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“…In the process of modernization, the environment and health are closely related; therefore, environmental issues also affect the health of the elderly. Data reported in STATE OF GLOBAL AIR/2018 indicate that more than 95% of the world’s population is breathing dirty air that exceeds the allowed particulate matter (PM) concentration in global air quality guidelines; notably, the situation is even more severe in underprivileged countries ( Tian et al, 2020 , 2022 ; Yang et al, 2020 ; Wan et al, 2021 ). In 2016, approximately 6.1 million deaths worldwide were attributable to air pollution, including stroke, heart disease, lung cancer, and chronic lung diseases ( IHME [The Institute for Health Metrics and Evaluation], 2018 ).…”

Section: Introductionmentioning

confidence: 99%

The Willingness of the Elderly to Choose Nursing Care: Evidence From in China

et al. 2022

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With the accelerating aging of the population and the worsening psychological conditions of older people, the traditional mode of family support for the elderly in China does not always meet the physical and psychological needs of the elderly, and more social support modes for the elderly are needed. Based on 3,513 valid questionnaires on the long-term care and protection needs of Chinese residents, this paper uses a logit regression model to analyze the factors influencing the willingness of the elderly to choose nursing care. The results show that intergenerational family support for the elderly is a significant psychological driver on the willingness of the elderly to choose nursing care. Compared with the elderly living with family, empty nesters or older people living alone are more inclined to select nursing care when they have difficulties taking care of themselves. The physical health of the elderly affects their willingness to choose nursing care, and elderly individuals with more hospitalizations are less likely to select nursing care. In addition, elderly females who are relatively young, have a high level of education, have a high income, have a nursing home near the residence, and are already covered by medical insurance are more willing to choose nursing care. The results of this study are of great importance for improving the medical services and aging care services for the elderly and providing theoretical support for alleviating the psychological and social pressure brought by population aging.

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Section: Introductionmentioning

confidence: 99%

The Willingness of the Elderly to Choose Nursing Care: Evidence From in China

et al. 2022

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“…In the face of the growing imbalance between energy supply and demand, the Chinese government has incorporated energy conservation into its long-term strategic planning. In the Eleventh, Twelfth and Thirteenth Five-Year Plans, targets were set to decrease energy consumption per unit of GDP by 20%, 17% and 15% (Yang et al, 2020). Under the dual pressure of economic growth and energy conservation and emission reduction, enhancing energy efficiency (EE) is a must for China to realize sustainability .…”

Section: Introductionmentioning

confidence: 99%

Dynamic environmental regulation threshold effect of technical progress on green total factor energy efficiency: evidence from China

Gao

2021

Environ Sci Pollut Res

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Sustainability is a strategic choice for the transition to a green economy in China. Improving green total factor energy efficiency (GTFEE) is the key to realizing the dual targets of energy saving and economic growth. This paper assesses the nonlinear influence of environmental regulation (ER) on technical innovation (TI) affecting GTFEE by establishing a dynamic panel threshold model using panel data of 271 prefecture-level cities in China from 2004-2016. Meanwhile, a system GMM approach is used to verify the channels through which TI affects GTFEE. Finally, the spatial and temporal characteristics of TI affecting GTFEE are analyzed from the perspective of ER. The empirical results are as follows: (1) TI can significantly improve GTFEE, and there is a threshold characteristic of this improvement effect, when ER is above the threshold value, TI has a greater improvement effect on GTFEE. (2) Besides directly influencing GTFEE through green technical innovation effect, TI can also indirectly influence GTFEE via channels such as economic growth effect, industrial structure upgrading effect and foreign investment effect, and the indirect influence channels show ER heterogeneity. (3) The number of cities crossing the threshold of ER in China increases year by year, which helps TI play a role in improving GTFEE, but there are still a small number of cities that do not cross the threshold during the sample period, which should attract the attention of local governments.

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“…To address environmental challenges, the Chinese government has prioritized environmental governance and implemented a number of initiatives and policies. 2 However, the lack of an effective monitoring and regulatory mechanism has resulted in a limited effect of these policies on raising environmental awareness among businesses and a significant gap between intended and achieved goals ( Tian et al, 2020 ; Yang et al, 2020 ). According to the 2019 Bulletin of Ecology and Environment Status of China , 53.4% of Chinese cities exceeded ambient air quality standards in 2019, with 337 cities experiencing 452 days of severe pollution, an increase of 88 days from 2018.…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Green Credit Policy and Corporate Stock Price Crash Risk: Evidence From China

et al. 2022

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Using the promulgation of Green Credit Guidelines in China as the research setting, this paper exploits a quasi-natural experiment to examine the impact of green credit policy on the stock price crash risk of heavy-polluting firms. The results show that green credit policy significantly increases the risk of stock price crash of heavy-polluting firms. Such impact is transmitted through increased financial constraints and reduced information transparency. In addition, we find that the impact of green credit policy on the stock price crash risk is more pronounced in firms with weak external governance and a small size. Our findings provide policy implications for mitigating corporate risks and promoting corporate sustainability.

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Does market segmentation necessarily discourage energy efficiency?

Cited by 14 publications

References 41 publications

The Willingness of the Elderly to Choose Nursing Care: Evidence From in China

The Willingness of the Elderly to Choose Nursing Care: Evidence From in China

Dynamic environmental regulation threshold effect of technical progress on green total factor energy efficiency: evidence from China

Green Credit Policy and Corporate Stock Price Crash Risk: Evidence From China

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