Railway transportation and environmental efficiency in China |
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| Affiliation: | 1. Research Center of Statistics for Management, Anhui University of Finance & Economics, Bengbu, China;2. School of Statistics & Research Center of Applied Statistics, Jiangxi University of Finance and Economics, Nanchang, China;3. School of Economics & Data Mining Research Center, Xiamen University, Xiamen, China;4. School of Business, Minnan Normal University, Zhangzhou, China;1. Transportation Management College, Dalian Maritime University, No. 1 Linghai Road, Dalian City 116026, China;2. Faculty of Management and Economics, Dalian University of Technology, No. 2 Linggong Road, Dalian City 116024, China;1. Institute of Industrial Economics, School of Finance and Economics, Jiangsu University, Zhenjiang, PR China;2. Tokai University, Hiratsuka-Shi, Kanagawa-ken, Japan;1. School of Geography and Tourism, Guangdong University of Finance & Economics, China;2. Institute of Transport Geography and Spatial Planning, Shaanxi Normal University, China;3. School of Geography and Planning, Sun Yat-Sen University, China;4. School of economics and Trade, Guangdong University of Finance & Economics, China;1. Transportation Management College, Dalian Maritime University, No. 1 Linghai Road, Dalian City 116026, China;2. Faulty of Management and Economics, Dalian University of Technology, No. 2 Linggong Road, Dalian City 116024, China |
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| Abstract: | Railway is one of the most efficient and environmental-friendly ways to transport people and goods. High-speed railway has been developing rapidly and the railway mileage has increased by 21.18% in China during the period of 2006–2011 and thus it is interesting to evaluate whether the railway transportation has reduced the environmental impact of transport in China. In this paper, we first use a non-radial DEA under managerial disposability to measure the environmental efficiency of 30 regions in China; then we propose a panel beta regression with fixed effects to model the impact of railway transportation on environmental efficiency. The results indicate that the environmental efficiency slowly increased during 2006–2011 and it exhibits regional disparities with the eastern area having the highest environmental efficiency and the western area being the lowest one; Moreover, we also find a significant positive impact of railway transportation on higher environmental efficiency. |
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| Keywords: | Panel beta regression DEA Railway transportation Environmental efficiency |
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