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Haitao Wu
School of Management and Economics, Beijing Institute of Technology, Beijing, China

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Research article
Published: 27 July 2021 in Environmental Science and Pollution Research
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As a new production factor, digitalization plays a vital role in society, economy, and the environment. Based on the expanded STIRPAT model, this paper empirically tests the impact of energy structure and digital economy on carbon emissions by panel data from 2011 to 2017 in 30 provinces of China. The results show that the energy structure mainly based on coal has a significant driving effect on carbon emissions. Compared with non-resource-based provinces, the increase of energy structure dominated by coal has a greater effect on carbon emission in resource-based provinces. It is worth noting that this kind of influence has a greater impact on the central region of China, followed by the western region and the eastern region. Besides, the digital economy has a significant moderating effect. With the development of digital economy, the impact of coal-based energy structure on carbon emissions is gradually decreasing. This effect is more significant in non-resource-based provinces and eastern China, but not significant in resource-based cities and central and western China.

ACS Style

Yan Li; Xiaodong Yang; Qiying Ran; Haitao Wu; Muhammad Irfan; Munir Ahmad. Energy structure, digital economy, and carbon emissions: evidence from China. Environmental Science and Pollution Research 2021, 1 -24.

AMA Style

Yan Li, Xiaodong Yang, Qiying Ran, Haitao Wu, Muhammad Irfan, Munir Ahmad. Energy structure, digital economy, and carbon emissions: evidence from China. Environmental Science and Pollution Research. 2021; ():1-24.

Chicago/Turabian Style

Yan Li; Xiaodong Yang; Qiying Ran; Haitao Wu; Muhammad Irfan; Munir Ahmad. 2021. "Energy structure, digital economy, and carbon emissions: evidence from China." Environmental Science and Pollution Research , no. : 1-24.

Journal article
Published: 18 June 2021 in Technological Forecasting and Social Change
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Since 2010, a severe lack of migrant workers has occurred in some provinces in China, indicating a sharp decline in labor force transfer in the primary industry during the economic transition. This decline is believed to have resulted in a decrease in carbon emissions. A neoclassical framework was built to estimate the labor force mitigation effect on CO2 emissions theoretically. The specific features of the nexus of CO2 emissions, economic development, and rural-urban transfer were investigated and evaluated within this framework. Two important propositions were derived from the theoretical model. First, the higher the ratio of the labor force working in the non-agricultural sector, the higher the emissions. Second, the speed of labor force transfer from the agricultural to non-agricultural sectors impacts peak emission levels. In the empirical study, data from China's 29 provinces for 1995-2012 were utilized to examine the two propositions. The GMM method was employed to control the possible endogeneity problem and introduce dynamics to the model. The empirical results verified the theoretical propositions. In addition, we concluded that the impact of labor transfer on CO2 emissions is subject to socioeconomic development levels in the long run.

ACS Style

Yu Hao; Zong-Yong Zhang; Chuxiao Yang; Haitao Wu. Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China. Technological Forecasting and Social Change 2021, 171, 120936 .

AMA Style

Yu Hao, Zong-Yong Zhang, Chuxiao Yang, Haitao Wu. Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China. Technological Forecasting and Social Change. 2021; 171 ():120936.

Chicago/Turabian Style

Yu Hao; Zong-Yong Zhang; Chuxiao Yang; Haitao Wu. 2021. "Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China." Technological Forecasting and Social Change 171, no. : 120936.

Research article
Published: 18 June 2021 in Environmental Science and Pollution Research
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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: 07 June 2021 in International Journal of Environmental Research and Public Health
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Since human beings have a long tradition of coexistence with pandemics, which may profoundly impact them, adopting preventive measures is crucial for humankind’s survival. This study explores the intention-based critical factors affecting the willingness of individuals to adopt pandemic prevention. To this end, a representative sample of 931 Pakistanis filled in an online questionnaire. However, only 828 questionnaires were found to be complete and valid for path modeling analysis. The core findings are as follows: Firstly, peer groups’ beliefs, self-efficacy, perceived risk, pandemic knowledge, ease of pandemic prevention adoption, and risk-averse behavior are revealed as driving forces of the individuals’ willingness to adopt pandemic prevention. Contrastingly, a lack of trust in political will and mythical attitude towards pandemics are uncovered as inhibitors. Nevertheless, moral values depict a neutral role. Secondly, the peer groups’ beliefs are highest ranked, followed by the lack of trust in political will and a mythical attitude towards pandemic prevention. Finally, moral values are determined as the lowest-ranked critical factor. Based on these results, the government should promote awareness campaigns on lethality and fatality of the pandemic at both centralized and decentralized levels to win people’s trust at the grass-roots level and overcome the mythical attitude of individuals at all societal levels. Besides, access to personal protective gears should be made feasible since an easier pandemic prevention adoption would increase the individuals’ willingness to adopt such preventative measures.

ACS Style

Munir Ahmad; Nadeem Akhtar; Gul Jabeen; Muhammad Irfan; Muhammad Khalid Anser; Haitao Wu; Cem Işık. Intention-Based Critical Factors Affecting Willingness to Adopt Novel Coronavirus Prevention in Pakistan: Implications for Future Pandemics. International Journal of Environmental Research and Public Health 2021, 18, 6167 .

AMA Style

Munir Ahmad, Nadeem Akhtar, Gul Jabeen, Muhammad Irfan, Muhammad Khalid Anser, Haitao Wu, Cem Işık. Intention-Based Critical Factors Affecting Willingness to Adopt Novel Coronavirus Prevention in Pakistan: Implications for Future Pandemics. International Journal of Environmental Research and Public Health. 2021; 18 (11):6167.

Chicago/Turabian Style

Munir Ahmad; Nadeem Akhtar; Gul Jabeen; Muhammad Irfan; Muhammad Khalid Anser; Haitao Wu; Cem Işık. 2021. "Intention-Based Critical Factors Affecting Willingness to Adopt Novel Coronavirus Prevention in Pakistan: Implications for Future Pandemics." International Journal of Environmental Research and Public Health 18, no. 11: 6167.

Journal article
Published: 26 April 2021 in International Journal of Environmental Research and Public Health
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Face masks are considered an effective intervention in controlling the spread of airborne viruses, as evidenced by the 2009′s H1N1 swine flu and 2003′s severe acute respiratory syndrome (SARS) outbreaks. However, research aiming to examine public willingness to wear (WTW) face masks in Pakistan are scarce. The current research aims to overcome this research void and contributes by expanding the theoretical mechanism of theory of planned behavior (TPB) to include three novel dimensions (risk perceptions of the pandemic, perceived benefits of face masks, and unavailability of face masks) to comprehensively analyze the factors that motivate people to, or inhibit people from, wearing face masks. The study is based on an inclusive questionnaire survey of a sample of 738 respondents in the provincial capitals of Pakistan, namely, Lahore, Peshawar, Karachi, Gilgit, and Quetta. Structural equation modeling (SEM) is used to analyze the proposed hypotheses. The results show that attitude, social norms, risk perceptions of the pandemic, and perceived benefits of face masks are the major influencing factors that positively affect public WTW face masks, whereas the cost of face masks and unavailability of face masks tend to have opposite effects. The results emphasize the need to enhance risk perceptions by publicizing the deadly effects of COVID-19 on the environment and society, ensure the availability of face masks at an affordable price, and make integrated and coherent efforts to highlight the benefits that face masks offer.

ACS Style

Muhammad Irfan; Nadeem Akhtar; Munir Ahmad; Farrukh Shahzad; Rajvikram Elavarasan; Haitao Wu; Chuxiao Yang. Assessing Public Willingness to Wear Face Masks during the COVID-19 Pandemic: Fresh Insights from the Theory of Planned Behavior. International Journal of Environmental Research and Public Health 2021, 18, 4577 .

AMA Style

Muhammad Irfan, Nadeem Akhtar, Munir Ahmad, Farrukh Shahzad, Rajvikram Elavarasan, Haitao Wu, Chuxiao Yang. Assessing Public Willingness to Wear Face Masks during the COVID-19 Pandemic: Fresh Insights from the Theory of Planned Behavior. International Journal of Environmental Research and Public Health. 2021; 18 (9):4577.

Chicago/Turabian Style

Muhammad Irfan; Nadeem Akhtar; Munir Ahmad; Farrukh Shahzad; Rajvikram Elavarasan; Haitao Wu; Chuxiao Yang. 2021. "Assessing Public Willingness to Wear Face Masks during the COVID-19 Pandemic: Fresh Insights from the Theory of Planned Behavior." International Journal of Environmental Research and Public Health 18, no. 9: 4577.

Journal article
Published: 19 April 2021 in International Journal of Educational Development
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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
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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
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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.

Journal article
Published: 27 March 2021 in Energy Policy
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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
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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
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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.

Review article
Published: 15 January 2021 in International Journal of Environmental Health Research
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The aim of this study is to identify and highlight the positive and negative indirect environmental impacts of COVID-19, with a particular focus on the most affected economies (USA, China, Spain, and Italy). In this respect, the empirical and theoretical dimensions of the contents of those impacts are analyzed. Research findings reveal a significant relationship between contingency actions and positive indirect impacts such as air quality improvements, clean beaches, and the decline in environmental noise. Besides, negative indirect impacts also exist, such as the rise in waste level and curtailment in recycling, further threatening the physical spaces (land and water), besides air. It is expected that global businesses will revive in the near future (though slowly), but the reduction in greenhouse gas emissions during this short time span is not a sustainable way of environmental mitigation. Thus, long-term mitigation policies should be strengthened to cope with the undesirable deterioration of the environment. Research findings provide an up-to-date glimpse of the pandemic from the perspectives of current and future indirect environmental impacts and the post-pandemic situation. Finally, it is suggested to invent and prepare action plans to induce a sustainable economic and environmental future in the post-pandemic world scenario.

ACS Style

Muhammad Irfan; Munir Ahmad; Zeeshan Fareed; Najaf Iqbal; Arshian Sharif; Haitao Wu. On the indirect environmental outcomes of COVID-19: short-term revival with futuristic long-term implications. International Journal of Environmental Health Research 2021, 1 -11.

AMA Style

Muhammad Irfan, Munir Ahmad, Zeeshan Fareed, Najaf Iqbal, Arshian Sharif, Haitao Wu. On the indirect environmental outcomes of COVID-19: short-term revival with futuristic long-term implications. International Journal of Environmental Health Research. 2021; ():1-11.

Chicago/Turabian Style

Muhammad Irfan; Munir Ahmad; Zeeshan Fareed; Najaf Iqbal; Arshian Sharif; Haitao Wu. 2021. "On the indirect environmental outcomes of COVID-19: short-term revival with futuristic long-term implications." International Journal of Environmental Health Research , no. : 1-11.

Journal article
Published: 01 January 2021 in Economic Modelling
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In this study, the interrelationship between income inequality, fiscal decentralization, and public health is investigated within a comprehensive research framework for the first time. Using the panel data of 23 Chinese provinces for a period between 2002 and 2012, a carefully designed simultaneous equation model is used to control for potential endogeneity. The estimation results indicate that higher income inequality has a significant negative impact on public health performance. Interestingly, fiscal decentralization has negative direct and indirect effects on public health. Therefore, the empirical results suggest that China’s provincial governments, which have gained significant fiscal power through increased fiscal decentralization, should take the problem of income inequality more seriously, because fiscal decentralization and income equality may both have the potential to benefit public health.

ACS Style

Yu Hao; Jiahui Liu; Zhi-Nan Lu; Ruijie Shig; Haitao Wu. Impact of income inequality and fiscal decentralization on public health: Evidence from China. Economic Modelling 2021, 94, 934 -944.

AMA Style

Yu Hao, Jiahui Liu, Zhi-Nan Lu, Ruijie Shig, Haitao Wu. Impact of income inequality and fiscal decentralization on public health: Evidence from China. Economic Modelling. 2021; 94 ():934-944.

Chicago/Turabian Style

Yu Hao; Jiahui Liu; Zhi-Nan Lu; Ruijie Shig; Haitao Wu. 2021. "Impact of income inequality and fiscal decentralization on public health: Evidence from China." Economic Modelling 94, no. : 934-944.

Journal article
Published: 17 December 2020 in Science of The Total Environment
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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
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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: 07 December 2020 in Structural Change and Economic Dynamics
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With the continuous development of cloud computing and internet of things technology, the integration of internet and haze governance has broad prospects and infinite potential. Through the internet platform and technology, environmental monitoring can be done by the internet, and realize the intellectualization of environmental management, improve the early warning ability of environmental pollution emergencies, and facilitate the public's in-depth participation in environmental supervision. The dynamic spatial Durbin model and the quantile regression model are employed to analyze the effect and mechanism of the internet development on China's haze pollution on the basis of provincial panel data in China from 2006 to 2017. The results indicate that there is an inverted “U” curve between internet development and haze pollution in China, and the conclusion is still valid after a series of robustness tests. There is significant heterogeneity between direct and indirect spillover effects. Meanwhile, from the perspective of different regions in China (such as the east-central region and western regions), the inverted “U” curve between internet development and air pollution still exists. Besides, quantile regression results also show that the suppression effect of the internet on haze pollution is getting stronger with the increase of haze concentration. The regression results of the mediation effect indicate that internet development mainly affects haze pollution by improving technological innovation and environmental governance efficiency.

ACS Style

Xiaodong Yang; Haitao Wu; Siyu Ren; Qiying Ran; Jinning Zhang. Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test. Structural Change and Economic Dynamics 2020, 56, 207 -224.

AMA Style

Xiaodong Yang, Haitao Wu, Siyu Ren, Qiying Ran, Jinning Zhang. Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test. Structural Change and Economic Dynamics. 2020; 56 ():207-224.

Chicago/Turabian Style

Xiaodong Yang; Haitao Wu; Siyu Ren; Qiying Ran; Jinning Zhang. 2020. "Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test." Structural Change and Economic Dynamics 56, no. : 207-224.

Journal article
Published: 02 November 2020 in Sustainable Production and Consumption
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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.

Application article
Published: 05 October 2020 in Natural Resource Modeling
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Taking advantage of the electrification strategy, Northwest China has made full use of its natural resources endowment, to develop renewable energy as the substitution of thermal power. To evaluate carbon dioxide (CO2) emissions from electric power sector, an extended Kaya identity equation and the Logarithmic mean Divisia index decomposition method are applied to Northwest China from 1998 to 2017. Six explaining factors are analyzed, including carbon intensity, energy mixes, generating efficiency, electrification, economy and population. The results show that driving forces of CO2 emissions from electricity system varied greatly among provinces. Generally, economic growth has mainly contributed to increase CO2 emission, while the improvement in the power‐generating efficiency has crucially decreased CO2 emission. In 2017, Promoting electrification directly increased CO2 emissions from electric system, but indirectly reduced CO2 emissions from the whole region by 5.10% through the estimation of a clean development mechanism method. Therefore, local governments are suggested continuing to promote electrification to guide future emission reduction, while enterprises and individuals need to make their own contributions to low‐carbon development. Recommendations for Resource Managers: Variations of carbon dioxide (CO2) emissions of all five provinces in Northwest China are analyzed. Logarithmic mean Divisia index analysis is used to study the main drivers of CO2 emission change. Improvements in the generating efficiency significantly reduced CO2 emissions. Due to electrification effects, CO2 emissions from electric power increased, but CO2 emissions from the region decreased. Economy effects were still the biggest drivers affecting CO2 emission.

ACS Style

Lina Mai; Qiying Ran; Haitao Wu. A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China. Natural Resource Modeling 2020, 33, 1 .

AMA Style

Lina Mai, Qiying Ran, Haitao Wu. A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China. Natural Resource Modeling. 2020; 33 (4):1.

Chicago/Turabian Style

Lina Mai; Qiying Ran; Haitao Wu. 2020. "A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China." Natural Resource Modeling 33, no. 4: 1.

Journal article
Published: 14 September 2020 in Asian Economics Letters
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With the emergence of information communication technology, the role of internet development has become crucial for energy intensity. This study uses the spatial Durbin model to test the impact of internet development on China's energy intensity. The results show that internet development reduces energy intensity. Internet development though carries spatial spillover effects, promoting energy intensity in adjacent areas.

ACS Style

Yu Hao; Haitao Wu. The Role of Internet Development on Energy Intensity in China: Evidence From a Spatial Econometric Analysis. Asian Economics Letters 2020, 1, 17194 .

AMA Style

Yu Hao, Haitao Wu. The Role of Internet Development on Energy Intensity in China: Evidence From a Spatial Econometric Analysis. Asian Economics Letters. 2020; 1 (1):17194.

Chicago/Turabian Style

Yu Hao; Haitao Wu. 2020. "The Role of Internet Development on Energy Intensity in China: Evidence From a Spatial Econometric Analysis." Asian Economics Letters 1, no. 1: 17194.

Journal article
Published: 02 September 2020 in Journal of Environmental Management
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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.