This page has only limited features, please log in for full access.

Unclaimed
Yu Hao
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 28 August 2021 in Structural Change and Economic Dynamics
Reads 0
Downloads 0

Using daily data of novel coronavirus pneumonia (COVID-19) covering 118 countries from January 1 to April 13, 2021, this research examines the relationship between the government response stringency index (GRSI) and COVID-19 pandemic. The empirical results show that GRSI significantly negatively impacts confirmed cases, and the effects are especially larger around 14 to 21 days after the implementation of the government response. These results are robust through analysis with sub-samples of Asian countries and non-Asian countries, proving that public prevention policies of being isolated for 14 days and being observed for 7 days are effective. The Dumitrescu-Hurlin causality test uncovers a statistically significant bi-directional correlation between government response stringency and COVID-19 pandemic when analyzing the full samples. In terms of the sub-samples, a bi-directional relationship exists between government response stringency and confirmed cases, while one-way causality runs only from government response stringency to deaths in Asian countries. We offer a policy implication that countries all over the world should continue to carry out public prevention policies, and governments in non-Asian countries should be more concerned about confirmed cases.

ACS Style

Qi-Cheng Yang; Xia Chen; Chun-Ping Chang; Di Chen; Yu Hao. What is the relationship between government response and COVID-19 pandemics? Global evidence of 118 countries. Structural Change and Economic Dynamics 2021, 1 .

AMA Style

Qi-Cheng Yang, Xia Chen, Chun-Ping Chang, Di Chen, Yu Hao. What is the relationship between government response and COVID-19 pandemics? Global evidence of 118 countries. Structural Change and Economic Dynamics. 2021; ():1.

Chicago/Turabian Style

Qi-Cheng Yang; Xia Chen; Chun-Ping Chang; Di Chen; Yu Hao. 2021. "What is the relationship between government response and COVID-19 pandemics? Global evidence of 118 countries." Structural Change and Economic Dynamics , no. : 1.

Journal article
Published: 05 July 2021 in Journal of Environmental Management
Reads 0
Downloads 0

To direct financial resources to cleaner production enterprises and achieve the goal of environmental governance, the Chinese government has devoted increasing efforts to facilitating green finance. As one of the major policies of green finance, the Green Credit Policy (GCP) was issued in 2012. Evaluating whether the GCP can promote green development has important significance, but few studies have explored its policy effects for the investment and financing behavior of “two high” (high energy consumption and high pollution) enterprises and environmental quality from both micro and macro perspectives. Taking the promulgation of the GCP as a quasi-natural experiment, based on a panel dataset involving 945 A-share listed companies and 30 provinces for the period of 2004–2017, this paper adopts the difference-in-difference model to explore the investment and financing behavior changes of enterprises and environmental impacts of the GCP. The following conclusions are derived. (1) The GCP provides incentives for the short-term financing behavior of “two high” enterprises, but it has a punitive effect in the long term and significantly inhibits the investment behavior of such enterprises. (2) The GCP contributes to the mitigation of sulfur dioxide and wastewater emissions. (3) The GCP has a greater effect on investment and financing behavior among state-owned and large-scale “two high” enterprises than among medium-sized and micro enterprises. (4) There exists regional heterogeneity in the effects of the GCP on the investment and financing of “two high” enterprises and environmental quality. The GCP has positive impacts in the eastern and western regions, and the policy effect is not obvious in the central region.

ACS Style

Shengling Zhang; Zihao Wu; Yao Wang; Yu Hao. Fostering green development with green finance: An empirical study on the environmental effect of green credit policy in China. Journal of Environmental Management 2021, 296, 113159 .

AMA Style

Shengling Zhang, Zihao Wu, Yao Wang, Yu Hao. Fostering green development with green finance: An empirical study on the environmental effect of green credit policy in China. Journal of Environmental Management. 2021; 296 ():113159.

Chicago/Turabian Style

Shengling Zhang; Zihao Wu; Yao Wang; Yu Hao. 2021. "Fostering green development with green finance: An empirical study on the environmental effect of green credit policy in China." Journal of Environmental Management 296, no. : 113159.

Journal article
Published: 26 June 2021 in Energy Economics
Reads 0
Downloads 0

China's carbon emission trading scheme (ETS) is an important market-based environmental regulation tool to achieve carbon neutrality targets. Numerous studies have identified the emission reduction and economic effects of the ETS, but quantitative evaluations of the ETS for regional carbon equality is rare. Based on provincial panel data and industrial enterprise panel data in China for the 1998–2017 period, this study explores whether China's ETS pilot policy brings the double dividends of green development efficiency and regional carbon equality by using the DID model and Malmquist-Luenberger (ML) index. The results show that the ETS significantly improves green development efficiency and regional carbon equality. The mechanism analysis further reveals that the ETS promotes regional carbon equality by improving green total factor productivity (GTFP) and reducing investments in carbon-intensive industries in the pilot provinces, confirming the Porter hypothesis and investment transfer effect. However, the mediating effect of carbon-intensive firm migration is statistically nonsignificant, which implies that the carbon pollution haven hypothesis may not be the reason for the improvement in regional carbon equality. In addition, heterogeneous effects exist under different degrees of command-and-control environmental regulation (CER) and across different regions. Finally, policy implications are highlighted with respect to establishing a unified national carbon emission trading market and exerting synergy between ETS and CER tools.

ACS Style

Shengling Zhang; Yao Wang; Yu Hao; Zhiwei Liu. Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality? Energy Economics 2021, 101, 105412 .

AMA Style

Shengling Zhang, Yao Wang, Yu Hao, Zhiwei Liu. Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality? Energy Economics. 2021; 101 ():105412.

Chicago/Turabian Style

Shengling Zhang; Yao Wang; Yu Hao; Zhiwei Liu. 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?" Energy Economics 101, no. : 105412.

Research article
Published: 18 June 2021 in Environmental Science and Pollution Research
Reads 0
Downloads 0

The outbreak of novel coronavirus (COVID-19) has become a global concern that is deteriorating environmental quality and damaging human health. Though some researchers have investigated the linkage between temperature and COVID-19 transmissibility across different geographical locations and over time, yet these studies are scarce. This study aims to bridge this gap using daily temperature and COVID-19 cases (transmissibility) by employing grey incidence analysis (GIA) models (i.e., Deng’s grey incidence analysis (DGIA), the absolute degree GIA (ADGIA), the second synthetic degree GIA (SSDGIA), the conservative (maximin) model) and correlation analysis. Data on temperature are accessed from the NASA database, while the data on COVID-19 cases are collected from the official website of the government of Pakistan. Empirical results reveal the existence of linkages between temperature and COVID-19 in all Pakistani provinces. These linkages vary from a relatively stronger to a relatively weaker linkage. Based on calculated weights, the strength of linkages is ranked across provinces as follows: Gilgit Baltistan (0.715301) > Baluchistan (0.675091) > Khyber Pakhtunkhwa (0.619893) > Punjab (0.619286) > Sindh (0.601736). The disparity in the strength of linkage among provinces is explained by the discrepancy in the intensity of temperature. Besides, the diagrammatic correlation analysis shows that temperature is inversely linked to COVID-19 cases (per million persons) over time, implying that low temperatures are associated with high COVID-19 transmissibility and vice versa. This study is among the first of its kind to consider the linkages between temperature and COVID-19 transmissibility for a tropical climate country (Pakistan) using the advanced GIA models. Research findings provide an up-to-date glimpse of the outbreak and emphasize the need to raise public awareness about the devastating impacts of the COVID-19. The educational syllabus should provide information on the causes, signs, and precautions of the pandemic. Additionally, individuals should practice handwashing, social distancing, personal hygiene, mask-wearing, and the use of hand sanitizers to ensure a secure and supportive atmosphere for preventing and controlling the current pandemic.

ACS Style

Muhammad Irfan; Muhammad Ikram; Munir Ahmad; Haitao Wu; Yu Hao. Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces. Environmental Science and Pollution Research 2021, 1 -15.

AMA Style

Muhammad Irfan, Muhammad Ikram, Munir Ahmad, Haitao Wu, Yu Hao. Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces. Environmental Science and Pollution Research. 2021; ():1-15.

Chicago/Turabian Style

Muhammad Irfan; Muhammad Ikram; Munir Ahmad; Haitao Wu; Yu Hao. 2021. "Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces." Environmental Science and Pollution Research , no. : 1-15.

Journal article
Published: 19 April 2021 in International Journal of Educational Development
Reads 0
Downloads 0

Fairness in education is an issue of great concern for China's development. At the same time, household education expenditure is a key factor and objective material embodiment of the educational resources and educational opportunities for Chinese children. Using the data of the China Labor-force Dynamics Survey (CLDS2016), this study analyzes the mechanisms of action in household education expenditure affected by both the educational level and the social class identification of household heads. The empirical results indicate that the Chinese household heads' social class identification is affected positively by their educational level. After controlling for the potential endogeneity, the education expenditure tends to increase as the subjective social class identification of the household heads is promoted. Class identification plays a partial mediating role in the process of the household head's educational level, affecting the household education expenditure. The findings provide important insights for understanding the intergenerational transmission mechanism of cultural capital in China.

ACS Style

Guoyao Yan; Yanling Peng; Yu Hao; Muhammad Irfan; Haitao Wu. Household head's educational level and household education expenditure in China: The mediating effect of social class identification. International Journal of Educational Development 2021, 83, 102400 .

AMA Style

Guoyao Yan, Yanling Peng, Yu Hao, Muhammad Irfan, Haitao Wu. Household head's educational level and household education expenditure in China: The mediating effect of social class identification. International Journal of Educational Development. 2021; 83 ():102400.

Chicago/Turabian Style

Guoyao Yan; Yanling Peng; Yu Hao; Muhammad Irfan; Haitao Wu. 2021. "Household head's educational level and household education expenditure in China: The mediating effect of social class identification." International Journal of Educational Development 83, no. : 102400.

Journal article
Published: 18 April 2021 in Structural Change and Economic Dynamics
Reads 0
Downloads 0

Environmental pollution and its effects have attracted increasing attention, but few studies have examined the impact of environmental pollution on the crime rate. This study adopted panel data of 30 provinces in China for the period 2005 to 2016 to examine the relationship between environmental pollution and the crime rate. In addition, a mediating effect model is used to study the mechanism through which environmental pollution influences the crime rate. This study considers the threshold effect of government official corruption on the link between environmental pollution and the crime rate. The generalized method of moments and a newly developed dynamic threshold panel model are employed to manage potential endogeneity problems. The estimation results indicate that environmental pollution significantly promotes China's crime rate. Environmental pollution can indirectly affect the crime rate through residents' health level, education level and inequality. The magnitude of the effect of environmental pollution on the crime rate will be greater after corruption reaches the threshold value. Regional heterogeneity analysis shows that a significant positive impact of environmental pollution on the crime rate exists in the eastern and western regions of China but not in the middle region. Based on the findings, we propose a series of policy implications to reduce criminal activities in China from the perspective of environmental pollution.

ACS Style

Haitao Wu; Yufeng Xia; Xiaodong Yang; Yu Hao; Siyu Ren. Does environmental pollution promote China's crime rate? A new perspective through government official corruption. Structural Change and Economic Dynamics 2021, 57, 292 -307.

AMA Style

Haitao Wu, Yufeng Xia, Xiaodong Yang, Yu Hao, Siyu Ren. Does environmental pollution promote China's crime rate? A new perspective through government official corruption. Structural Change and Economic Dynamics. 2021; 57 ():292-307.

Chicago/Turabian Style

Haitao Wu; Yufeng Xia; Xiaodong Yang; Yu Hao; Siyu Ren. 2021. "Does environmental pollution promote China's crime rate? A new perspective through government official corruption." Structural Change and Economic Dynamics 57, no. : 292-307.

Article
Published: 07 April 2021 in Environment, Development and Sustainability
Reads 0
Downloads 0

With the rapid development of China's economy, the problem of environmental pollution has become increasingly serious. Given that China’s current environmental quality threatens its long-term sustainable economic development, certain attention must be paid to curb environmental pollution in China. As a developed country with a high level of environmental quality in the world, Germany has experienced “Treatment after Pollution”. To promote China’s environmental quality, this study considers the historical lessons offered by Germany and examines the relationship between environmental pollution and economic development as well as the effective environmental governance mode in Germany and China. Based on the panel data of 30 provincial administrative regions in China and 16 states in Germany from 2000 to 2017, this study quantitatively investigates the nexus of economic growth and environmental pollution in the two countries. Empirical results demonstrate that, during the sample period of 2000–2017, the emissions of four pollutants in both countries increase initially and then decrease as the economy grows. The levels of per capita gross domestic product (GDP) that correspond to the emission peaks of sulfur dioxide, carbon dioxide, and nitrogen oxides are comparable in the two countries. Some economic and industrial policies may help to accelerate the occurrence of the turning point, including the following: decreasing the importance of a secondary industry; taking full advantage of the structural and technical effects brought about by foreign trade; reducing the reliance on non-clean energy; and carrying out more effective energy policies. In this regard, coordinating environmental policies with economic growth, formulating strict environmental policies, improving industrial structure, optimizing energy structure, and improving the quality of foreign trade are pivotal for China's sustainable development goals.

ACS Style

Yu Hao; Shang Gao; Yunxia Guo; Zhiqiang Gai; Haitao Wu. Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017. Environment, Development and Sustainability 2021, 1 -26.

AMA Style

Yu Hao, Shang Gao, Yunxia Guo, Zhiqiang Gai, Haitao Wu. Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017. Environment, Development and Sustainability. 2021; ():1-26.

Chicago/Turabian Style

Yu Hao; Shang Gao; Yunxia Guo; Zhiqiang Gai; Haitao Wu. 2021. "Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017." Environment, Development and Sustainability , no. : 1-26.

Research article
Published: 31 March 2021 in Environmental Science and Pollution Research
Reads 0
Downloads 0

The layout of urban spatial functions may play an important role in sustainable regional development. Given the rapid development of urbanization in China, this study attempts to analyze how functional specialization affects coordinated regional development. To quantitatively measure the degree of coordinated development within different regions, the coordinated degree index is used to calculate the degree of coordinated development of four Chinese metropolitan areas from 2008 to 2019. The panel vector autoregressive (PVAR) model is employed to empirically test the impact of urban functional specialization on coordinated regional development. The results indicate that high market activity is conducive to the formation of functional specialization synergy in space, and the level of social productivity directly affects the functional specialization and the level of synergy within a region. With the continuous strengthening of the implementation of local government policies, the functional specialization and synergy in metropolitan areas have gradually strengthened. However, the promotion effects and the expression of functional specialization, the coordinated development of government actions, and spatial functions differ across metropolitan areas in China.

ACS Style

Pengfei Zhang; Zhiwei Liu; Xuemin Liu; Yu Hao; Yuhai Wang. Does functional specialization affect collaborative development? Evidence from four Chinese metropolitan areas. Environmental Science and Pollution Research 2021, 28, 41851 -41868.

AMA Style

Pengfei Zhang, Zhiwei Liu, Xuemin Liu, Yu Hao, Yuhai Wang. Does functional specialization affect collaborative development? Evidence from four Chinese metropolitan areas. Environmental Science and Pollution Research. 2021; 28 (31):41851-41868.

Chicago/Turabian Style

Pengfei Zhang; Zhiwei Liu; Xuemin Liu; Yu Hao; Yuhai Wang. 2021. "Does functional specialization affect collaborative development? Evidence from four Chinese metropolitan areas." Environmental Science and Pollution Research 28, no. 31: 41851-41868.

Journal article
Published: 27 March 2021 in Energy Policy
Reads 0
Downloads 0

Information and communication technology supported by the internet has become an important driving force that promotes the intelligent development of environmental governance in China. Using Chinese provincial panel data for the period 2006–2017, this study investigates whether the internet has improved China's green total factor energy efficiency (GTFEE) using a dynamic spatial Durbin model, mediation effect model and dynamic threshold panel model. The empirical results indicate that the GTFEE has a significant positive spatial correlation. Internet development can not only directly improve local GTFEE but also improve GTFEE in neighboring regions. After accounting for potential endogeneity, this conclusion is still valid. Meanwhile, internet development can indirectly improve regional GTFEE by reducing the degree of resource mismatch while enhancing GTFEE by improving regional innovation capabilities and promoting industrial structure upgrades. In addition, the regression results of the dynamic threshold model show that there is a nonlinear relationship between the influence of the internet development and GTFEE. Specifically, due to an increase in the degree of labor resource mismatch and capital resource mismatch, the impact of the internet on GTFEE has gradually decreased, and this effect has gradually increased with the improvement of regional innovation capabilities and the industrial structure.

ACS Style

Haitao Wu; Yu Hao; Siyu Ren; Xiaodong Yang; Guo Xie. Does internet development improve green total factor energy efficiency? Evidence from China. Energy Policy 2021, 153, 112247 .

AMA Style

Haitao Wu, Yu Hao, Siyu Ren, Xiaodong Yang, Guo Xie. Does internet development improve green total factor energy efficiency? Evidence from China. Energy Policy. 2021; 153 ():112247.

Chicago/Turabian Style

Haitao Wu; Yu Hao; Siyu Ren; Xiaodong Yang; Guo Xie. 2021. "Does internet development improve green total factor energy efficiency? Evidence from China." Energy Policy 153, no. : 112247.

Journal article
Published: 17 March 2021 in Energy Economics
Reads 0
Downloads 0

Internet technology has broken the boundaries of traditional geographical space, greatly shortened the space-time distance between regions, and maximized the integration of various resources. Therefore, in the era of the digital economy, the rapid development of network information technology, the energy internet and other new forms of the network economy may affect energy consumption. This paper mainly studies how internet development affects China's energy consumption and the associated transmission mechanism. Specifically, this paper constructs an evaluation system of China's internet development level from four perspectives: internet popularity, internet infrastructure, internet information resources and internet application. On this basis, the relationship between internet development and China's energy consumption is investigated and found to be significantly positive; moreover, internet development promotes the energy consumption scale through economic growth. The relationship between internet development and the energy consumption structure is significantly negative, and internet development affects the energy consumption structure through economic growth, R&D investment, human capital, financial development, and the industrial structure. Interestingly, there is also empirical evidence that the nexus of internet development and energy consumption intensity is significantly negative, and internet development helps to accelerate the decline in energy consumption intensity through economic growth, R&D investment, human capital, financial development, and industrial structural upgrading.

ACS Style

Siyu Ren; Yu Hao; Lu Xu; Haitao Wu; Ning Ba. Digitalization and energy: How does internet development affect China's energy consumption? Energy Economics 2021, 98, 105220 .

AMA Style

Siyu Ren, Yu Hao, Lu Xu, Haitao Wu, Ning Ba. Digitalization and energy: How does internet development affect China's energy consumption? Energy Economics. 2021; 98 ():105220.

Chicago/Turabian Style

Siyu Ren; Yu Hao; Lu Xu; Haitao Wu; Ning Ba. 2021. "Digitalization and energy: How does internet development affect China's energy consumption?" Energy Economics 98, no. : 105220.

Research article
Published: 26 February 2021 in Environmental Science and Pollution Research
Reads 0
Downloads 0

The sustainable development of China’s economy and society has been restricted by energy and environmental issues. With the implementation of the Rise of Central China strategy, Henan, a populous province in China, is facing the threat of an energy shortage as its economy grows steadily and the urbanization process accelerates. Using panel data of 18 cities in Henan Province for the period of 2006–2018, this study investigates the relationship between energy consumption and economic and social development variables based on the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and threshold regression method. The empirical results indicate that economic and social development are significantly positively correlated with total electricity consumption, although there is regional heterogeneity in this relationship. Moreover, there is evidence for a nonlinear relationship between economic and social development and urban energy consumption. These conclusions not only promote the healthy and sustainable economic development of Henan Province but also provide a reference for other provinces and cities that are experiencing rapid development in China.

ACS Style

Fangzhao Deng; Hujun Li; Meng Yang; Wenjie Zhao; Zhiqiang Gai; Yunxia Guo; Jingwen Huang; Yu Hao; Haitao Wu. On the nonlinear relationship between energy consumption and economic and social development: evidence from Henan Province, China. Environmental Science and Pollution Research 2021, 28, 33192 -33207.

AMA Style

Fangzhao Deng, Hujun Li, Meng Yang, Wenjie Zhao, Zhiqiang Gai, Yunxia Guo, Jingwen Huang, Yu Hao, Haitao Wu. On the nonlinear relationship between energy consumption and economic and social development: evidence from Henan Province, China. Environmental Science and Pollution Research. 2021; 28 (25):33192-33207.

Chicago/Turabian Style

Fangzhao Deng; Hujun Li; Meng Yang; Wenjie Zhao; Zhiqiang Gai; Yunxia Guo; Jingwen Huang; Yu Hao; Haitao Wu. 2021. "On the nonlinear relationship between energy consumption and economic and social development: evidence from Henan Province, China." Environmental Science and Pollution Research 28, no. 25: 33192-33207.

Research article
Published: 19 February 2021 in Journal of Environmental Planning and Management
Reads 0
Downloads 0

Numerous studies have examined the correlation between haze pollution and economic growth, but few have focused on the bilateral causality and spatial dependence of the relationship simultaneously. With a recent, large sample of 285 Chinese prefecture-level cities over the period from 1998 to 2016, the dynamic relationship between economic growth and PM2.5 concentration was investigated in China and different geographical regions via the generalized spatial three-stage least squares method (GS3SLS). In addition, the spatial spillover effects of PM2.5 concentration and economic growth were explored, and the socioeconomic factors of the feedback effects of haze pollution on economic growth were identified. The results indicate the following: (1) There is an inverted U-shaped relationship between economic growth and haze pollution, and haze pollution can, in turn, inhibit economic growth; (2) haze pollution and economic growth have an obvious spatial spillover effect that closely links neighboring areas, such that haze pollution has a clear and significant positive spatial spillover, and the spatial effect of economic growth depends on the regional characteristics; (3) environmental regulation has significance in explaining the inhibitory effect of haze pollution on economic growth; and (4) heterogeneity by geographical region and urban agglomeration is observed in the relationship between haze pollution and economic growth. Therefore, it is urgent to control haze pollution and avoid oversimplified and crude environmental regulation measures that may damage economic growth. Multiregional joint governance, systematic environmental regulation and technical environmental regulation should be strengthened.

ACS Style

Shengling Zhang; Yao Wang; Zhiwei Liu; Yu Hao. The spatial dynamic relationship between haze pollution and economic growth: new evidence from 285 prefecture-level cities in China. Journal of Environmental Planning and Management 2021, 1 -57.

AMA Style

Shengling Zhang, Yao Wang, Zhiwei Liu, Yu Hao. The spatial dynamic relationship between haze pollution and economic growth: new evidence from 285 prefecture-level cities in China. Journal of Environmental Planning and Management. 2021; ():1-57.

Chicago/Turabian Style

Shengling Zhang; Yao Wang; Zhiwei Liu; Yu Hao. 2021. "The spatial dynamic relationship between haze pollution and economic growth: new evidence from 285 prefecture-level cities in China." Journal of Environmental Planning and Management , no. : 1-57.

Journal article
Published: 18 January 2021 in Journal of Cleaner Production
Reads 0
Downloads 0

Climate change issues have become significant challenges in China’s sustainable growth due to the excessive use of fossil fuels. Though, the Chinese government has successfully utilized solar energy resources to overcome these issues. However, studies focusing on assessing consumers’ willingness to utilize solar energy are scarce in the country. This study aims to address this research gap by analyzing the influence of factors on consumers’ willingness to utilize solar energy for household purposes. Combined with the existing consumers’ intention factors, the study has also contributed by augmenting the theoretical mechanism of the Theory of Planned Behavior by including three novel factors (perception about self-effectiveness, belief of solar energy benefits, and perception of neighbors’ participation) to comprehensively analyze the willingness of Chinese consumers. Analysis is performed on questionnaire data of 355 households in the four largest cities of Hunan province, such as Changsha, Hengyang, Yueyang, and Zhuzhou, by accompanying an inclusive survey. Structural Equation Modeling has been employed to evaluate and scrutinize the formulated suppositions. The findings disclose that the intention factors, i.e., perception about self-effectiveness, environmental concern, awareness of solar energy, and belief of solar energy benefits impart positive effects on consumers’ willingness to utilize solar energy, while, cost of solar energy has a negative effect. Notably, perception of neighbors’ participation has an insignificant effect. Research outcomes emphasize transforming social norms, raise consumers’ awareness, redesign policy frameworks, and highlight the paybacks that solar energy offers by integrative and consistent efforts.

ACS Style

Muhammad Irfan; Rajvikram Madurai Elavarasan; Yu Hao; Mingjia Feng; Dai Sailan. An assessment of consumers’ willingness to utilize solar energy in China: End-users’ perspective. Journal of Cleaner Production 2021, 292, 126008 .

AMA Style

Muhammad Irfan, Rajvikram Madurai Elavarasan, Yu Hao, Mingjia Feng, Dai Sailan. An assessment of consumers’ willingness to utilize solar energy in China: End-users’ perspective. Journal of Cleaner Production. 2021; 292 ():126008.

Chicago/Turabian Style

Muhammad Irfan; Rajvikram Madurai Elavarasan; Yu Hao; Mingjia Feng; Dai Sailan. 2021. "An assessment of consumers’ willingness to utilize solar energy in China: End-users’ perspective." Journal of Cleaner Production 292, no. : 126008.

Journal article
Published: 17 December 2020 in Science of The Total Environment
Reads 0
Downloads 0

The massive development of the Chinese economy is being hindered by the deteriorating air pollution problem. Many methods have been used by the Chinese government to solve this environmental dilemma, out of which environmental decentralization is one of the important measures. The transparency of environmental decentralization may be weakened by the existence of the corruption problem, resulting in further deterioration of the air pollution problem. To examine this problem, the provincial panel data of 30 provinces in China from 2005 to 2016 is selected and the spatial measurement method is used to study the relationship between environmental decentralization, government corruption, and air pollution. The results indicate that air pollution in different provinces of China is spatially dependent. Local environmental decentralization has a significant inhibitory effect on air pollution, while local air pollution is not inhibited by neighbor's environmental decentralization. However, air quality is significantly deteriorated by local or neighbor's corruption problem. After adding the interaction item of environmental decentralization and government corruption as the adjusting variable, it is found that the inhibitory effect of local environmental decentralization on air pollution is weakened by the problem of local government corruption, while the government corruption of neighbor does not have this effect. In addition, both local and neighbor's environmental decentralization have heterogeneous effects on air pollution from the spatial dynamic threshold regression results with regional corruption as the threshold variable.

ACS Style

Yu Hao; Zhiqiang Gai; Guanpeng Yan; Haitao Wu; Muhammad Irfan. The spatial spillover effect and nonlinear relationship analysis between environmental decentralization, government corruption and air pollution: Evidence from China. Science of The Total Environment 2020, 763, 144183 .

AMA Style

Yu Hao, Zhiqiang Gai, Guanpeng Yan, Haitao Wu, Muhammad Irfan. The spatial spillover effect and nonlinear relationship analysis between environmental decentralization, government corruption and air pollution: Evidence from China. Science of The Total Environment. 2020; 763 ():144183.

Chicago/Turabian Style

Yu Hao; Zhiqiang Gai; Guanpeng Yan; Haitao Wu; Muhammad Irfan. 2020. "The spatial spillover effect and nonlinear relationship analysis between environmental decentralization, government corruption and air pollution: Evidence from China." Science of The Total Environment 763, no. : 144183.

Journal article
Published: 08 December 2020 in Sustainable Production and Consumption
Reads 0
Downloads 0

Environmental problems caused by climate change have become increasingly prominent, and the important role of technological advancement in reducing environmental pollution is receiving more attention. Under the conditions of an open economy, multi-channel international technology spillover has become an important way to improve a country's technological innovation capabilities. Based on the establishment of China's intellectual property protection (IPP) system, this paper integrates trade, foreign direct investment (FDI), and outward foreign direct investment (OFDI) into a unified international technology spillover framework and analyzes how international technology spillovers affect China's carbon emissions at different IPP levels. The results demonstrate that Trade, FDI, and OFDI increase regional carbon emissions and that trade has the greatest effect on carbon emissions’ growth. The regression results of the dynamic threshold demonstrate that as the regional IPP level exceeds the threshold, trade technology spillovers can reduce carbon emission, and that FDI and OFDI further increase carbon emissions. The impact of IPP and international technology spillovers on carbon emissions has regional heterogeneity in China. For the eastern and central regions, the interaction of international technology spillovers and IPP increases carbon emissions, while it has a significant inhibitory effect on carbon emissions in the western region. Therefore, to fully realize the role of international technology spillovers and IPP in reducing carbon emissions, China should implement differentiated IPP and international technology spillover policies.

ACS Style

Yu Hao; Ning Ba; Siyu Ren; Haitao Wu. How does international technology spillover affect China's carbon emissions? A new perspective through intellectual property protection. Sustainable Production and Consumption 2020, 25, 577 -590.

AMA Style

Yu Hao, Ning Ba, Siyu Ren, Haitao Wu. How does international technology spillover affect China's carbon emissions? A new perspective through intellectual property protection. Sustainable Production and Consumption. 2020; 25 ():577-590.

Chicago/Turabian Style

Yu Hao; Ning Ba; Siyu Ren; Haitao Wu. 2020. "How does international technology spillover affect China's carbon emissions? A new perspective through intellectual property protection." Sustainable Production and Consumption 25, no. : 577-590.

Journal article
Published: 02 November 2020 in Sustainable Production and Consumption
Reads 0
Downloads 0

The acceptance of renewable energy technologies is a complicated and multifaceted process influenced by a broad range of factors. Therefore, this study aims to examine the factors influencing consumer intention to utilize renewable energy (RE). Moreover, the current research highlights the factors that encourage or discourage consumers from utilizing RE by expanding the structural context of the Theory of Planned Behavior (TPB) by integrating three new considerations (the perception of self-effectiveness, beliefs about the benefits of RE, and perception about neighbor participation). The data used for analysis were collected from 351 households in four large cities, including Rawalpindi, Lahore, Gujranwala, and Faisalabad, in Pakistan. We utilized the Structural Equation Modeling (SEM) approach to check the relationship between constructs and latent variables. The results reveal that the driving factors, i.e., the perception of self-effectiveness, awareness, and perception about neighbor participation have significant and positive effects on consumer intention to utilize RE. However, consumer beliefs related to the cost of RE utilization have a negative effect on their intention to utilize RE. More interestingly, it was observed that beliefs about the benefits of RE and environmental concern have insignificant effects. The outcomes of this study can assist policy makers, experts and consumers in understanding renewable energy consumption and gaining awareness about environmental problems while simultaneously improving environmental sustainability practices.

ACS Style

Muhammad Irfan; Yu Hao; Muhammad Ikram; Haitao Wu; Rabia Akram; Abdul Rauf. Assessment of the public acceptance and utilization of renewable energy in Pakistan. Sustainable Production and Consumption 2020, 27, 312 -324.

AMA Style

Muhammad Irfan, Yu Hao, Muhammad Ikram, Haitao Wu, Rabia Akram, Abdul Rauf. Assessment of the public acceptance and utilization of renewable energy in Pakistan. Sustainable Production and Consumption. 2020; 27 ():312-324.

Chicago/Turabian Style

Muhammad Irfan; Yu Hao; Muhammad Ikram; Haitao Wu; Rabia Akram; Abdul Rauf. 2020. "Assessment of the public acceptance and utilization of renewable energy in Pakistan." Sustainable Production and Consumption 27, no. : 312-324.

Journal article
Published: 08 September 2020 in Energy
Reads 0
Downloads 0

Understanding the drivers of energy intensity reduction is of great significance for governments to design targeted energy policies. In this study, the effect of energy-saving research and development activities on energy intensity is carefully investigated by categorising these activities into three types with two purposes. Based on a Chinese provincial dataset for 2000–2016 and the dynamic panel model, the empirical results from the whole sample suggest that energy-saving research and development activities play a significant role in energy intensity reduction. However, research and development activities with different purposes and performers show statistically different effects on energy intensity. The activities conducted by enterprises and with the purpose of pursuing utility, have a greater reduction effect compared to other kinds of activities, suggesting that the utility-type of energy-saving research and development activities of enterprises contribute more to energy intensity reduction. In addition, from an inter-regional perspective, energy-saving research and development activities have differentiated effects in China’s Eastern, Central, and Western regions. The empirical results provide insightful energy policies for reducing energy intensity through energy-saving research and development activities, for China’s central and local governments.

ACS Style

Junbing Huang; Yali Lai; Yajun Wang; Yu Hao. Energy-saving research and development activities and energy intensity in China: A regional comparison perspective. Energy 2020, 213, 118758 .

AMA Style

Junbing Huang, Yali Lai, Yajun Wang, Yu Hao. Energy-saving research and development activities and energy intensity in China: A regional comparison perspective. Energy. 2020; 213 ():118758.

Chicago/Turabian Style

Junbing Huang; Yali Lai; Yajun Wang; Yu Hao. 2020. "Energy-saving research and development activities and energy intensity in China: A regional comparison perspective." Energy 213, no. : 118758.

Journal article
Published: 02 September 2020 in Journal of Environmental Management
Reads 0
Downloads 0

Following the “Belt and Road” (B&R) initiative, China has significantly increased its outward direct investment (ODI). Although these investments help to boost these countries' productivity, their impacts on the environment are still controversial and deserve careful investigation. This study for the first time examines whether China's ODI has improved the green total factor productivity (GTFP), a comprehensive index for environmental quality and productivity. Moreover, a new data set composed of ICRG, World Bank WDI, Heritage Foundation, and Wind databases is used to match the panel data of 46 B&R countries for the period of 2003–2016. A newly developed dynamic threshold panel model with GMM characteristics is utilized to explore the possible nonlinear relationship with full consideration of heterogeneity. The empirical results indicate that there is no pollution shelter effect on China's ODI. With the increase in China's ODI, the GTFP of the B&R countries has been significantly improved. Additionally, China's ODI has a greater role in promoting GTFP in B&R countries with higher institutional quality. The positive effects of China's ODI on the GTFP of B&R countries depend on the institutional qualities of the countries, and the enhancement effect becomes greater when the countries have better institutions. There is also evidence that China's ODI significantly promoted the GTFP of countries in the East Asia and Pacific region, South Asia, Central Asia and Europe, while China's ODI did not significantly promote the GTFP of countries in the Middle East and North Africa.

ACS Style

Haitao Wu; Siyu Ren; Guoyao Yan; Yu Hao. Does China's outward direct investment improve green total factor productivity in the “Belt and Road” countries? Evidence from dynamic threshold panel model analysis. Journal of Environmental Management 2020, 275, 111295 .

AMA Style

Haitao Wu, Siyu Ren, Guoyao Yan, Yu Hao. Does China's outward direct investment improve green total factor productivity in the “Belt and Road” countries? Evidence from dynamic threshold panel model analysis. Journal of Environmental Management. 2020; 275 ():111295.

Chicago/Turabian Style

Haitao Wu; Siyu Ren; Guoyao Yan; Yu Hao. 2020. "Does China's outward direct investment improve green total factor productivity in the “Belt and Road” countries? Evidence from dynamic threshold panel model analysis." Journal of Environmental Management 275, no. : 111295.

Journal article
Published: 29 August 2020 in Energy Strategy Reviews
Reads 0
Downloads 0

During the last decade, the major South Asian countries (Pakistan, India, and Bangladesh) have effectively utilized wind electricity to avoid future energy predicament. However, the wind industry is being influenced by a diverse range of factors. The aim of this study is to develop a value chain model for the South Asian wind power industry, scrutinize both internal and external factors to analyze the viability of present condition and future roadmap to foster the wind energy sector by adopting Strengths, Weakness, Opportunities, and Threats (SWOT) model. Firstly, a novel value chain model was developed for the wind industry. Secondly, we identified the social, economic, and environmental factors, significantly influencing the competitiveness and development of the wind industry through clear and precise examination of strengths, weaknesses, opportunities, and threats in the South Asian perspective. A total of 19 factors were identified and analyzed. Research findings indicate the current situation and future projections of the wind industry in a competitive environment. Finally, we suggested essential policy measures to stabilize the wind industry's growth. This study will serve as a benchmark for the steady development of the wind power industry and towards a secure and sustainable South Asia.

ACS Style

Muhammad Irfan; Yu Hao; Manoj Kumar Panjwani; Danish Khan; Abbas Ali Chandio; Heng Li. Competitive assessment of South Asia's wind power industry: SWOT analysis and value chain combined model. Energy Strategy Reviews 2020, 32, 100540 .

AMA Style

Muhammad Irfan, Yu Hao, Manoj Kumar Panjwani, Danish Khan, Abbas Ali Chandio, Heng Li. Competitive assessment of South Asia's wind power industry: SWOT analysis and value chain combined model. Energy Strategy Reviews. 2020; 32 ():100540.

Chicago/Turabian Style

Muhammad Irfan; Yu Hao; Manoj Kumar Panjwani; Danish Khan; Abbas Ali Chandio; Heng Li. 2020. "Competitive assessment of South Asia's wind power industry: SWOT analysis and value chain combined model." Energy Strategy Reviews 32, no. : 100540.

Journal article
Published: 24 July 2020 in Energy Economics
Reads 0
Downloads 0

Green development is critical for China's economic transformation. Enhancing green total factor energy efficiency (hereafter GTFEE) is vital to emission reduction and to win-win industrial development. This study uses the panel data of 30 Chinese provinces for the period 2005–2016 to investigate the relationship between environmental regulation and China's GTFEE. The spatial Durbin model is employed to control for the possible spatial spillover effect. A dynamic threshold panel model that can effectively address the endogeneity problem and regional heterogeneity is utilized to examine the potential non-linear relationship between environmental regulation and GTFEE under different conditions of environmental decentralization. The estimation results indicate that there is a significant U-shaped relationship between environmental regulation and China's GTFEE. With the further expansion of environmental decentralization, the local government's autonomous choice of pollution control is improved. The improvement of environmental decentralization can lead to negative moderating effect of environmental regulation on GTFEE. Additionally, the regression results of dynamic threshold model show that environmental decentralization can increase the negative influences of environmental regulation on GTFEE. Interestingly, the non-linear impact of environmental regulation on GTFEE is dependent on the specific type of environmental decentralization. Higher degree of environmental decentralization can lead to an increase in the restraining effect of environmental regulation on GTFEE. However, an improvement in the decentralization of environmental supervision and environmental monitoring can increase the negative influences of environmental regulation on GTFEE.

ACS Style

Haitao Wu; Yu Hao; Siyu Ren. How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China. Energy Economics 2020, 91, 104880 .

AMA Style

Haitao Wu, Yu Hao, Siyu Ren. How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China. Energy Economics. 2020; 91 ():104880.

Chicago/Turabian Style

Haitao Wu; Yu Hao; Siyu Ren. 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China." Energy Economics 91, no. : 104880.