Yunlong Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yunlong Zhang has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Zhiyang Shen
IESEG School of Management, Univ. Lille, CNRS, UMR 9221 - LEM - Lille Economie Management, Lille, France
2 shared publications - Jingyu Zhuo
School of Management and Economics, Beijing Institute of Technology, Beijing, China
1 shared publication - Jinyang Cai
School of Economics, Beijing Institute of Technology, Beijing, China
1 shared publication - Kaifa Wu
School of Management and Economics, Beijing Institute of Technology, Beijing, China
1 shared publication - Muhammad Irfan
Business School Shandong Management University Jinan China
1 shared publication - Su Liu
School of Economics, Zhongnan University of Economics and Law, Wuhan, China
1 shared publication
Latest Publications
- 9 February 2024
- Published by Springer Nature in Environmental Science and Pollution Research
- Vol. 31 (11) , 17226-17238
Measuring the carbon shadow price of agricultural production: a regional-level nonparametric approach
Climate change poses an urgent threat, necessitating the implementation of measures to actively reduce carbon emissions. The development of effective carbon emission reduction policies requires accurate estimation of the costs involved. In situations where actual prices of commodities are not available in the market, shadow pricing provides a useful method to calculate relative prices between commodities with and without price information. However, most studies focus on the industry, with few contributions on agricultural sector. This paper estimates the shadow price of carbon emissions in the agricultural sector from a provincial perspective, incorporating the impact of livestock into the calculation of carbon emissions and shadow pricing. Our findings indicate that ignoring livestock may overestimate CSP values. On the whole, the level of carbon shadow price is rising, indicating good green development in China’s agricultural sector. The two types of convergence results show that there is sigma convergence and beta convergence in the western and central regions, demonstrating a significant improvement in environmental performance.
- 9 February 2024
- Published by Springer Nature in Environmental Science and Pollution Research
- Vol. 31 (11) , 17226-17238
Measuring the carbon shadow price of agricultural production: a regional-level nonparametric approach
Climate change poses an urgent threat, necessitating the implementation of measures to actively reduce carbon emissions. The development of effective carbon emission reduction policies requires accurate estimation of the costs involved. In situations where actual prices of commodities are not available in the market, shadow pricing provides a useful method to calculate relative prices between commodities with and without price information. However, most studies focus on the industry, with few contributions on agricultural sector. This paper estimates the shadow price of carbon emissions in the agricultural sector from a provincial perspective, incorporating the impact of livestock into the calculation of carbon emissions and shadow pricing. Our findings indicate that ignoring livestock may overestimate CSP values. On the whole, the level of carbon shadow price is rising, indicating good green development in China’s agricultural sector. The two types of convergence results show that there is sigma convergence and beta convergence in the western and central regions, demonstrating a significant improvement in environmental performance.
- 13 May 2023
- Published by Springer Nature in Computational Economics
- Vol. 63 (6) , 2115-2137
The Environmental Consequences of Local Government Competition: Evidence from 209 Chinese Cities
- 13 May 2023
- Published by Springer Nature in Computational Economics
- Vol. 63 (6) , 2115-2137
The Environmental Consequences of Local Government Competition: Evidence from 209 Chinese Cities
- 10 August 2022
- Published by Springer Nature in Environmental Science and Pollution Research
- Vol. 30 (2) , 3562-3575
Operation of high-speed rail and reduction of corporate pollution: evidence from China
As an environmentally friendly means of transport, the high-speed rail (HSR) is conducive to promoting corporate performance. An innovative approach extends the impact of HSR networks on pollution emissions from the regional level to the micro-enterprise level. Based on the quasi-natural experiment of the opening of HSR, a difference-in-difference model is used to investigate the impact of HSR on enterprise pollution emission levels and its action mechanism by using the matched data from the Chinese Enterprise Pollution Emission Database, the Chinese Industrial Enterprise Database, and the Chinese City Statistical Yearbook from 2000 to 2010. The results show that opening HSR significantly reduces the enterprises’ pollution emission level, while reducing the number of polluting enterprises and transportation costs as well as improving the innovation capacity of enterprises are the corresponding action mechanisms. The impact of HSR on the enterprises’ pollution emission varies with industry intensity, population size, and regional economic development level. The conclusions not only provide important insights to increase the ecological quality of China’s environment through transportation infrastructure upgrades but also bring some guidance to more developing countries to improve their air environment.
- 10 August 2022
- Published by Springer Nature in Environmental Science and Pollution Research
- Vol. 30 (2) , 3562-3575
Operation of high-speed rail and reduction of corporate pollution: evidence from China
As an environmentally friendly means of transport, the high-speed rail (HSR) is conducive to promoting corporate performance. An innovative approach extends the impact of HSR networks on pollution emissions from the regional level to the micro-enterprise level. Based on the quasi-natural experiment of the opening of HSR, a difference-in-difference model is used to investigate the impact of HSR on enterprise pollution emission levels and its action mechanism by using the matched data from the Chinese Enterprise Pollution Emission Database, the Chinese Industrial Enterprise Database, and the Chinese City Statistical Yearbook from 2000 to 2010. The results show that opening HSR significantly reduces the enterprises’ pollution emission level, while reducing the number of polluting enterprises and transportation costs as well as improving the innovation capacity of enterprises are the corresponding action mechanisms. The impact of HSR on the enterprises’ pollution emission varies with industry intensity, population size, and regional economic development level. The conclusions not only provide important insights to increase the ecological quality of China’s environment through transportation infrastructure upgrades but also bring some guidance to more developing countries to improve their air environment.