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Lu Miao
China Center for Special Economic Zone Research, Shenzhen University, Nanhai Ave 3688, Shenzhen, Guangdong, 518060, PR China

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Journal article
Published: 10 July 2021 in Journal of Cleaner Production
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Ecological degradation has become one of the constraints on the development of human society. To deal with pollutant emissions, governments around the world have implemented emission trading schemes (ETS). However, although the effectiveness of ETS policies has been widely acknowledged, it is unclear whether the policy effects depend on regional characteristics. To address this research gap, this study integrated the propensity score matching method and multi-period difference-in-difference model (PSM-DID) to examine the impacts of ETS on industrial output and pollution emissions, and the influence of city heterogeneity on policy effects. The results showed that the ETS positively affected industrial output and negatively affected pollutant emissions in the pilot cities. Furthermore, implementation of the ETS was more conducive to increasing industrial output while reducing emissions in cities with larger populations, higher financial development levels, and worse air quality. Nevertheless, in lower industrialized cities, the ETS implementation was more prominent in promoting industrial output. In this case, the environmental effect was lower than that in cities with higher industrialized. The findings provide a better understanding of city heterogeneity of ETS policy effects.

ACS Style

Jingru Huang; Jie Shen; Lu Miao; Weikun Zhang. The effects of emission trading scheme on industrial output and air pollution emissions under city heterogeneity in China. Journal of Cleaner Production 2021, 315, 128260 .

AMA Style

Jingru Huang, Jie Shen, Lu Miao, Weikun Zhang. The effects of emission trading scheme on industrial output and air pollution emissions under city heterogeneity in China. Journal of Cleaner Production. 2021; 315 ():128260.

Chicago/Turabian Style

Jingru Huang; Jie Shen; Lu Miao; Weikun Zhang. 2021. "The effects of emission trading scheme on industrial output and air pollution emissions under city heterogeneity in China." Journal of Cleaner Production 315, no. : 128260.

Research article
Published: 29 December 2020 in Applied Economics
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This paper establishes a measurement model to examine the impacts of social network heterogeneity on the wages of the floating population, and the different impacts under different levels of marketization. The main findings are: (1) Social network heterogeneity can increase the wages of the floating population, which is particularly significant for urban-urban migrants with non-agricultural registration; (2) The effect of social network heterogeneity on the wages of the floating population is due to the different levels of marketization of the destination market of inflows. The levels of marketization vary from place to place: in cities with low marketization levels, the homogeneous social networks can increase the wages more than the heterogeneous social networks. With marketization levels increase, social networks can increase the employment wages of migrants through three stages: the stage of the homogeneous social network is stronger than heterogeneous social network; the stage of no significant difference between homogeneous social network and heterogeneous social network; the stage of heterogeneous social network is stronger than homogeneous social network. In general, for the wages of rural-urban migrants with agricultural hukou, homogeneous social networks and marketization levels have a substitutional relationship, while heterogeneous social networks and marketization levels have a complementary relationship.

ACS Style

Ping Zhang; Yan Liu; Lu Miao. Impacts of social networks on floating population wages under different marketization levels: empirical analysis of China’s 2016 national floating population dynamic monitoring data. Applied Economics 2020, 53, 2567 -2583.

AMA Style

Ping Zhang, Yan Liu, Lu Miao. Impacts of social networks on floating population wages under different marketization levels: empirical analysis of China’s 2016 national floating population dynamic monitoring data. Applied Economics. 2020; 53 (22):2567-2583.

Chicago/Turabian Style

Ping Zhang; Yan Liu; Lu Miao. 2020. "Impacts of social networks on floating population wages under different marketization levels: empirical analysis of China’s 2016 national floating population dynamic monitoring data." Applied Economics 53, no. 22: 2567-2583.

Journal article
Published: 24 December 2020 in International Journal of Environmental Research and Public Health
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Despite the extensive attention paid to emissions trading scheme (ETS) approaches, few studies have examined whether such ETS policies can lead to sustainable development in China. Drawing on the ideas of coupling and synergistic development, this study views sustainable development as the result of the interactions between the economy and the environment and constructs an index system to measure economic development and environmental quality. The system coupling model is used to reflect the synergistic interactions between the economy and the environment systems. The coordination degree model is then used to assess the economic–environmental coupling coordination degree in order to measure sustainable development. The empirical results show that the ETS can help in achieving economic–environmental sustainable development in the pilot cities. Moreover, the better the socioeconomic development of a city, the better effects of the ETS on sustainable development. However, it is more difficult to achieve economic–environmental coordinated development in industrially developed areas (e.g., Guangdong). These findings provide empirical evidence that the market-based ETS could alleviate the conflict between economic development and environmental pollution and could help in achieving sustainable development in emerging economies.

ACS Style

Jingru Huang; Jie Shen; Lu Miao. Carbon Emissions Trading and Sustainable Development in China: Empirical Analysis Based on the Coupling Coordination Degree Model. International Journal of Environmental Research and Public Health 2020, 18, 89 .

AMA Style

Jingru Huang, Jie Shen, Lu Miao. Carbon Emissions Trading and Sustainable Development in China: Empirical Analysis Based on the Coupling Coordination Degree Model. International Journal of Environmental Research and Public Health. 2020; 18 (1):89.

Chicago/Turabian Style

Jingru Huang; Jie Shen; Lu Miao. 2020. "Carbon Emissions Trading and Sustainable Development in China: Empirical Analysis Based on the Coupling Coordination Degree Model." International Journal of Environmental Research and Public Health 18, no. 1: 89.

Journal article
Published: 07 August 2019 in Sustainability
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With the acceleration of China’s urbanization process, the urban transportation problem has become increasingly serious. The rapid expansion of private vehicle ownership, in particular, has become one of the barriers to the realization of sustainable urban transition. This paper applied the Gompertz model to analyze the non-linear relationship between private vehicle ownership and per capita GDP in China using provincial data. In addition, we forecasted private vehicle ownership for 31 Chinese provinces for the period of 2019–2030 and predicted the time to reach the upper limit of 1000 people vehicle ownership of each province according to different scenarios. The main findings revealed that the number of private vehicles owned in China’s provinces was in line with “S”-shaped development and was currently in the process of accelerated growth. Under the scenario of an annual per capita GDP growth rate of 6%, China’s private vehicle ownership will reach 246 million, 375 million, and 475 million in 2020, 2025, and 2030, respectively. This indicates that China’s expansion of private vehicle ownership will generate significant challenges, such as on-road vehicle-related fossil fuel consumption, pollutant emissions, traffic congestion, and scrapped vehicle recycling. These issues will become increasingly prominent. In provinces such as Hubei, Hebei, Hunan, and other central provinces that have a 50–60% urbanization rate, the large potential for income promotion will significantly stimulate the increase in private vehicle ownership, and the upper limit of 1000 people vehicle ownership in each province will be reached in 2032, 2037, and 2046 with annual per capita GDP growth rates of 8%, 6%, and 4%, respectively.

ACS Style

Yang Li; Lu Miao; Ying Chen; Yike Hu. Exploration of Sustainable Urban Transportation Development in China through the Forecast of Private Vehicle Ownership. Sustainability 2019, 11, 4259 .

AMA Style

Yang Li, Lu Miao, Ying Chen, Yike Hu. Exploration of Sustainable Urban Transportation Development in China through the Forecast of Private Vehicle Ownership. Sustainability. 2019; 11 (16):4259.

Chicago/Turabian Style

Yang Li; Lu Miao; Ying Chen; Yike Hu. 2019. "Exploration of Sustainable Urban Transportation Development in China through the Forecast of Private Vehicle Ownership." Sustainability 11, no. 16: 4259.

Journal article
Published: 27 March 2019 in Journal of Cleaner Production
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Residential energy consumption has increased sharply in China and is further expected to grow owing to rapid economic growth and improved living standards. The residential sector will be one of the leading drivers of greenhouse gas emissions. Therefore, this study divides China into three areas considering regional differences and re-investigates the influence of human activities on residential CO2 emissions in China’s 28 provinces during 2000–2016. Using an extended stochastic impacts by regression on population, affluence, and technology model, the key factors behind residential CO2 emissions are investigated. The main findings are as follows: Residential CO2 emissions in China have regional characteristics and the effects of urbanization, energy intensity, and price elasticities vary among the three regions. GDP per capita is the key factor and positively influences total residential CO2 emissions. By adding the squared and cubed terms of GDP per capita, the environmental Kuznets curve hypothesis is tested for all regions and for China overall. The results confirm the environmental Kuznets curve in the eastern region and show an “N” shaped curve at the national level.

ACS Style

Lu Miao; Huijie Gu; Xiwei Zhang; Wei Zhen; Mingyue Wang. Factors causing regional differences in China's residential CO2 emissions—evidence from provincial data. Journal of Cleaner Production 2019, 224, 852 -863.

AMA Style

Lu Miao, Huijie Gu, Xiwei Zhang, Wei Zhen, Mingyue Wang. Factors causing regional differences in China's residential CO2 emissions—evidence from provincial data. Journal of Cleaner Production. 2019; 224 ():852-863.

Chicago/Turabian Style

Lu Miao; Huijie Gu; Xiwei Zhang; Wei Zhen; Mingyue Wang. 2019. "Factors causing regional differences in China's residential CO2 emissions—evidence from provincial data." Journal of Cleaner Production 224, no. : 852-863.

Journal article
Published: 01 February 2017 in Ecological Indicators
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ACS Style

Lu Miao. Examining the impact factors of urban residential energy consumption and CO 2 emissions in China – Evidence from city-level data. Ecological Indicators 2017, 73, 29 -37.

AMA Style

Lu Miao. Examining the impact factors of urban residential energy consumption and CO 2 emissions in China – Evidence from city-level data. Ecological Indicators. 2017; 73 ():29-37.

Chicago/Turabian Style

Lu Miao. 2017. "Examining the impact factors of urban residential energy consumption and CO 2 emissions in China – Evidence from city-level data." Ecological Indicators 73, no. : 29-37.