Lu Miao

Prof. Lu Miao


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications

1 September 2021 in Journal of Cleaner Production
Verified
Journal Article
Closed access
JHJingru Huang
Jingru Huang
JSJie Shen
Jie Shen
LMLu Miao
Lu Miao
WZWeikun Zhang
Weikun Zhang

JHJingRu Huang
JingRu Huang
JSJie Shen
Jie Shen
LMLu Miao
Lu Miao
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.

7 August 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
YLYang LI
Yang LI
LMLu Miao
Lu Miao
YCYing Chen
Ying Chen
YHYike Hu
Yike Hu
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.

1 February 2023 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
YLYang Li
Yang Li
SHShiyu Huang
Shiyu Huang
LMLu Miao
Lu Miao
ZWZheng Wu
Zheng Wu

28 September 2023 in Journal of Chinese Political Science
Verified
Journal Article
Closed access
PDF file
LMLu Miao
Lu Miao
HGHuijie Gu
Huijie Gu