The impact of public transportation on carbon emissions: a panel quantile analysis based on Chinese provincial data
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Although the Chinese government emphasizes the significance of public transportation development and encourages green travel, no empirical study has examined whether the expansion of public transportation facilitates the mitigation of carbon emissions. To this end, we employ a panel quantile regression to test the endogenous relationship between public transportation scale and carbon emissions. The results suggest that the effect of public transportation scale on carbon emissions is heterogeneous across China’s provinces based on the level of carbon emissions. Even so, the results still support a stable inverted U-shaped relationship between public transportation scale and carbon emissions for provinces with different levels of carbon emissions. That is, when public transportation scale exceeds a threshold value, the relationship between public transportation and carbon emissions will turn from positive to negative. Our findings provide evidence advocating for public transportation development and green travel. It is of great significance for China to respond to climate changes.
KeywordsPublic transportation Carbon emissions Quantile regression Inverted U-shaped
This work was supported by the National Natural Science Foundation of China (Nos. 71771082, 71371067, 71431008) and Hunan Provincial Natural Science Foundation of China (No. 2017JJ1012).
- Beaudoin J, Lin Lawel CYC (2016) Is public transit’s “green” reputation deserved?: evaluating the effects of transit supply on air quality. In University of California at Davis Working PaperGoogle Scholar
- Chinese Ministry of Transportation (2016) The 13th Five-Year Plan for urban public transportationGoogle Scholar
- Dietz T, Rosa EA (1994) Rethinking the environmental impacts of population, affluence and technology. Hum Ecol Rev 1(2):277–300Google Scholar
- Fan Y, Guthrie A, Levinson D (2012) Impact of light-rail implementation on labor market accessibility: a transportation equity perspective. J Transp Land Use 5(3):28–39Google Scholar
- Farsi M, Fetz A, Filippini M (2007) Economies of scale and scope in local public transportation. J Trans Econ Pol 41(3):345–361Google Scholar
- Fujita M, Krugman PR, Venables AJ (2001) The spatial economy: cities, regions, and international trade. MIT pressGoogle Scholar
- International Energy Agency (2011) CO2 Emissions from fuel combustion highlights. In: Cancún MexicoGoogle Scholar
- Mohring H (1972) Optimization and scale economies in urban bus transportation. Am Econ Rev 62(4):591–604Google Scholar
- Powell D (2016) Quantile regression with nonadditive fixed effects. Quantile Treatment Effects.Google Scholar
- Xie R., Wei D, Han F, Lu Y, Fang J Y, Liu Y, Wang J F (2018) The effect of traffic density on smog pollution: evidence from Chinese cities. Technological Forecasting and Social Change, in pressGoogle Scholar
- Zheng S, Zhang X, Sun W, Wang J (2017) The effect of a new subway line on local air quality: a case study in Changsha. Transportation Research Part D: Transportation and Environment, in pressGoogle Scholar