Does high-speed railway promote regional innovation growth or innovation convergence?

Yang, Xuehui; Zhang, Huirong; Lin, Shanlang; Zhang, Jiaping; Zeng, Jianlong

doi:10.1016/j.techsoc.2020.101472

Cited by 72 publications

(62 citation statements)

References 29 publications

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“…e degree of market openness is controlled by using the logarithm of the amount of foreign capital utilized (in ten thousand dollars) (lnfore), referring to Yang et al [49]. e basic condition of the environment is controlled by using the logarithm of the area of green land (in hectare) (lngre), referring to Zheng and Kahn [82].…”

Section: Control Variablesmentioning

confidence: 99%

“…Many scholars have examined and proved that transportation infrastructure such as HSR has a heterogeneous impact on the economy or innovation activities among cities [3,6,49]. In this section, we thoroughly examine the different impacts of HSR connection on regional green innovation by conducting four heterogeneity analyses from the perspective of four economic zones, four urban agglomerations, different urban development levels, and different green awareness levels, respectively.…”

Section: Heterogeneity Analysismentioning

confidence: 99%

“…Following the spirit of Michaels [96] and Duranton and Turner [97,98], who use historical or geographical information to construct IVs, we construct two IVs with historical data in this paper to reduce the endogenous estimation bias caused by reverse causality and further test the robustness of the empirical results. e two IVs are (1) the interaction of the 1962 railway network in China and the number of cities connected to the HSR network in each city's province each year [99] and (2) the interaction of the RDLS and the year dummy variables [49,100].…”

Section: Instrumenting For Hsr Connectionmentioning

confidence: 99%

“…ere has been a vast amount of research conducted on general innovation (e.g., [46][47][48]), as well as probing its relationship with transportation infrastructure [49,50]. However, an integrated analysis considering elements of both environmental economics and innovation economics is still hard to find [30].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Booming with Speed: High-Speed Rail and Regional Green Innovation

Zhu

Lin

Yang

2021

Journal of Advanced Transportation

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Exploiting China’s high-speed rail (HSR) as a quasi-natural experiment, we examine the relationship between the HSR connection and green innovation. The opening of HSR can promote green innovation by facilitating the flow of innovation factors. Using the multiperiod difference-in-differences (DID) model, we find that the regional green innovation performance significantly becomes better following the opening of HSR in the local city. Moreover, in examining the specific mechanisms at work, we find evidence that HSR stimulates green patents through increased labor mobility and research capital mobility. Further analyses show that the facilitating effect of HSR is heterogeneous among cities. Our paper sheds new light on the effects of HSR on social welfare in the case of sustainable economy.

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Section: Control Variablesmentioning

confidence: 99%

Section: Heterogeneity Analysismentioning

confidence: 99%

Section: Instrumenting For Hsr Connectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Booming with Speed: High-Speed Rail and Regional Green Innovation

Zhu

Lin

Yang

2021

Journal of Advanced Transportation

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“…Regional innovation is not only the key to transforming economic growth but also an important choice for promoting innovation-driven development. Previous studies on regional innovation can be broadly divided into two aspects: those focusing on the regional innovation system [22][23][24] and those exploring the relationship between regional innovation and other factors [25]. In this context, a regional innovation system refers to the operating network or mechanism formed by the interaction of innovation subjects based on innovation inputs in a specific geographical area [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Booster or Stumbling Block? The Role of Environmental Regulation in the Coupling Path of Regional Innovation under the Porter Hypothesis

Nie

et al. 2022

Sustainability

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In the 2018 Global Environmental Performance Index, China’s global air quality rank was fourth from last, indicating a more pronounced conflict between the environment and development compared with other countries. Because of the vastness of China’s land area, the development of different regions is imbalanced. The achievement of the stipulated goal to be among the top innovative countries in the world by 2035 not only depends on the economically developed eastern part of China but also on the relatively economically underdeveloped central, western, and northeastern parts. In this context, this paper uses time-varying qualitative comparative analysis to explore how the coupling paths of environmental regulation affect regional innovation. The results show that: (1) In most cases at the overall level of China, the Porter hypothesis is supported, and environmental regulation can play the role of a “booster” and stimulate regional innovation. In a few cases, however, the Porter hypothesis is not supported. (2) The Porter hypothesis is also supported in most cases at the regional level, where environmental regulation is mostly a “booster” for regional innovation in the east, center, west, and northeast. (3) Comparison of regional heterogeneity shows that environmental regulation is more important for stimulating regional innovation in the east than in the center, west, and northeast. This study helps to identify the role of environmental regulation in regional innovation. Moreover, it also helps to understand the emphasis China placed on environmental management during the early stages of its economic development.

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Toward inclusive green growth for sustainable development: A new perspective of labor market distortion

Zhang

Lyu

2023

Bus Strat Env

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Labor market distortion is ceaselessly endangering the balance among economic efficiency, social equity, and environmental quality sought by inclusive green growth and sustainable development. This study develops an innovative evaluation system to measure China's inclusive green growth by using provincial panel data from 2004 to 2020. Three dimensions are covered, including economic development, social equity and welfare, and green sustainability. Static and dynamic panel econometric models are employed to investigate the effect of labor market distortion on inclusive green growth and the potential transmission channels. The spatial econometric model is further applied to study the spatial spillover effect of labor market distortion on inclusive green growth. The results indicate that labor market distortion negatively affects inclusive green growth. Technological innovation, industrial structure optimization, and export trade upgrading are transmission channels of the impact of labor market distortion on inclusive green growth. In addition to hindering local inclusive green growth, labor market distortion also decreases neighboring inclusive green growth through the spatial spillover effect. These conclusions suggest that removing distortion in the labor market and emphasizing the role of market mechanisms in labor allocation may provide a new perspective to help move toward inclusive green growth for sustainable development.

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Does high-speed railway promote regional innovation growth or innovation convergence?

Cited by 72 publications

References 29 publications

Booming with Speed: High-Speed Rail and Regional Green Innovation

Booming with Speed: High-Speed Rail and Regional Green Innovation

Booster or Stumbling Block? The Role of Environmental Regulation in the Coupling Path of Regional Innovation under the Porter Hypothesis

Toward inclusive green growth for sustainable development: A new perspective of labor market distortion

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