Does the development of China's high-speed rail improve the total-factor carbon productivity of cities?

Lin, Boqiang; Jia, Huanyu

doi:10.1016/j.trd.2022.103230

Cited by 33 publications

(16 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In line with existing studies (Hsu et al, 2021;Lin and Jia., 2022), the control variables selected for this paper, include: (1) the level of urban economic development (economy). This paper uses per capita GDP as an indicator to measure the level of urban economic development.…”

Section: Variable Selectionsupporting

confidence: 86%

“…On the one hand, the time-space compression effect generated by the opening of HSR can reduce information asymmetry (Chen and Hall. 2011) and increase opportunities for face-to-face communication between people, thus promoting cross-city R&D collaboration (Wang et al, 2022) and laying the foundation for green urban development (Lin and Jia., 2022). On the other hand, HSR not only operates in a low-energy mode (Song et al, 2016), which significantly reduces CO 2 emissions in cities through transport substitution (Jia et al, 2021), significantly enhancing transport accessibility (Wang et al, 2018), which in turn leads to a spatial, distributional and hierarchical structural shifts in cities (Fang, 2021).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

High-Speed Rail Opening and Green Innovation—Evidence From China

Wan

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Significant progress has been achieved in the construction of transportation infrastructure in China, where a high-speed rail network of considerable scale and high operational speed has been formed. Against the backdrop of China’s current keynote on “carbon peaking” and “carbon neutrality,” the high-speed rail as a modern, green mode of transport, has become a key force in promoting green technological innovation and maintaining sustainable economic development. This paper focuses on the relationship between the opening of high-speed rail and urban green innovation and the mechanisms behind it. This study utilized panel data on Chinese cities from 2000 to 2018, taking the opening of high-speed rail as a quasi-natural experiment. It focuses on the impact and mechanism of the opening of the high-speed railway on urban green innovation by using the double-difference space Durbin model. Findings indicate that high-speed rail plays a significant role in promoting urban green innovation and that the spatial spillover effect is substantial. The results of the heterogeneity test indicate that high-speed rail can enhance urban green innovation in non-resource-based cities. The impact mechanism of high-speed railways on urban green innovation mainly comes from the flow of innovative personnel and capital, a strategy of local governments to strengthen environmental regulations and improve regional advantages. This paper also indicates that high-speed rail has an inverted U-shaped trend in promoting urban green innovation, and the optimal radius is 200 km from the nucleus city.

show abstract

Section: Variable Selectionsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

High-Speed Rail Opening and Green Innovation—Evidence From China

Wan

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…The measurement of urban carbon emission efficiency involves input and output indicators. We selected specific indicators with reference to existing studies [ 51 ]. The input indicators include labor force and capital.…”

Section: Empirical Designmentioning

confidence: 99%

“…The input indicators include labor force and capital. The labor force input is measured by total urban employment [ 51 , 52 ], and capital input is measured by the urban capital stock based on the perpetual inventory method [ 51 , 53 ]. Output indicators include expected output and unexpected output, and urban GDP is used to measure urban expected output [ 51 ].…”

Section: Empirical Designmentioning

confidence: 99%

“…The labor force input is measured by total urban employment [ 51 , 52 ], and capital input is measured by the urban capital stock based on the perpetual inventory method [ 51 , 53 ]. Output indicators include expected output and unexpected output, and urban GDP is used to measure urban expected output [ 51 ]. With reference to the IPCC method (2006), the city’s unexpected output is measured by the carbon emissions generated by the consumption of natural gas, liquefied petroleum gas, electricity, and heat energy in the whole city [ 28 ].…”

Section: Empirical Designmentioning

confidence: 99%

See 1 more Smart Citation

How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China

Zhang²,

et al. 2022

IJERPH

View full text Add to dashboard Cite

As a new factor of production, data play a key role in driving low-carbon and sustainable development relying on the digital economy. However, previous studies have ignored this point. Based on the panel data of 283 cities in China from 2007 to 2019, we investigated the construction of national big data comprehensive pilot zones (NBDCPZs) in China as a quasi-natural experiment, using the difference-in-differences (DID) model to empirically test the impact of NBDCPZ policies on urban low-carbon transformation. The following conclusions can be drawn: NBDCPZ construction significantly promotes urban low-carbon transformation, and a series of robustness analysis supports this conclusion. NBDCPZ constructions mainly promotes urban low-carbon transformation by stimulating urban green innovation and optimizing the allocation of urban resource elements. Compared with eastern cities, small and medium-sized cities, and resource-based cities, the construction of NBDCPZs can promote the low-carbon transformation of cities in central and western China, large cities, and non-resource-based cities. Further analysis shows that the construction of NBDCPZs can only improve the low-carbon transformation of local cities, with negative spatial spillover effects on the low-carbon transformation of surrounding cities. Therefore, in the future, it is vital to consider the promotion effect of the construction of NBDCPZs on the low-carbon transformation of local cities and prevent its negative impact on the low-carbon transformation of surrounding cities.

show abstract

The effect of low-carbon transportation pilot policy on carbon performance: evidence from China

Zhang

Liu

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

Does the development of China's high-speed rail improve the total-factor carbon productivity of cities?

Cited by 33 publications

References 62 publications

High-Speed Rail Opening and Green Innovation—Evidence From China

High-Speed Rail Opening and Green Innovation—Evidence From China

How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China

The effect of low-carbon transportation pilot policy on carbon performance: evidence from China

Contact Info

Product

Resources

About