FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3156069172> ?p ?o ?g. }

• W3156069172 endingPage "105271" @default.
• W3156069172 startingPage "105271" @default.
• W3156069172 abstract "As the most important emerging transportation technology, high-speed rail (HSR) can reshape regional economic development patterns and exert an important effect on the ecological environment. Using a panel data set of 275 Chinese cities at the prefecture level and above from 2003 to 2014, this study is the first to adopt a continuous spatial difference-in-differences (SDID) model to investigate the effect and its mechanism of HSR service intensity on CO2 emissions. A series of robustness tests are performed, including the placebo test and using the propensity score matching method combined with the SDID (PSM-SDID) model. We also conduct a heterogeneity analysis using a spatial difference-in-difference-in-differences (SDDD) model. The results show that an increase in HSR service intensity significantly reduces urban CO2 emissions, resulting from the effects of transportation substitution, market integration, industrial structure, and technological innovation. Meanwhile, such an increase inhibits CO2 emissions in neighboring cities with a spatial attenuation boundary of 1000 km. On average, for every addition of 100 HSR trains in a city, the total CO2 emissions can be reduced by 0.14%. Moreover, the CO2 emission reduction effect of HSR is more significant in eastern China, large cities, and resource-based cities. However, higher levels of HSR service intensity in large cities and resource-based cities are not conducive to reducing CO2 emissions in neighboring cities. These findings can help to accurately evaluate the social benefits of expanding HSR networks and provide an important decision-making reference for climate governance during the era of HSR." @default.
• W3156069172 created "2021-04-26" @default.
• W3156069172 creator A5000043923 @default.
• W3156069172 creator A5058096893 @default.
• W3156069172 creator A5069692822 @default.
• W3156069172 date "2021-07-01" @default.
• W3156069172 modified "2023-10-17" @default.
• W3156069172 title "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach" @default.
• W3156069172 cites W1009777155 @default.
• W3156069172 cites W1153746237 @default.
• W3156069172 cites W1496710202 @default.
• W3156069172 cites W1974568009 @default.
• W3156069172 cites W1975308442 @default.
• W3156069172 cites W1986103876 @default.
• W3156069172 cites W1986866669 @default.
• W3156069172 cites W1987650726 @default.
• W3156069172 cites W1988226712 @default.
• W3156069172 cites W1989399712 @default.
• W3156069172 cites W1999239497 @default.
• W3156069172 cites W2015152457 @default.
• W3156069172 cites W2015432217 @default.
• W3156069172 cites W2025546606 @default.
• W3156069172 cites W2026057847 @default.
• W3156069172 cites W2042966231 @default.
• W3156069172 cites W2044669368 @default.
• W3156069172 cites W2048524167 @default.
• W3156069172 cites W2056495652 @default.
• W3156069172 cites W2067736043 @default.
• W3156069172 cites W2090588963 @default.
• W3156069172 cites W2099697360 @default.
• W3156069172 cites W2119642490 @default.
• W3156069172 cites W2132917208 @default.
• W3156069172 cites W2140735975 @default.
• W3156069172 cites W2144213317 @default.
• W3156069172 cites W2150616292 @default.
• W3156069172 cites W2151599117 @default.
• W3156069172 cites W2152070787 @default.
• W3156069172 cites W2153980567 @default.
• W3156069172 cites W2159258168 @default.
• W3156069172 cites W2172070297 @default.
• W3156069172 cites W2339491211 @default.
• W3156069172 cites W2476118104 @default.
• W3156069172 cites W2512406487 @default.
• W3156069172 cites W2547409783 @default.
• W3156069172 cites W2557170703 @default.
• W3156069172 cites W2557601893 @default.
• W3156069172 cites W2558844775 @default.
• W3156069172 cites W2591970216 @default.
• W3156069172 cites W2613411129 @default.
• W3156069172 cites W2756971612 @default.
• W3156069172 cites W2769131462 @default.
• W3156069172 cites W2776072592 @default.
• W3156069172 cites W2777389890 @default.
• W3156069172 cites W2808872351 @default.
• W3156069172 cites W2810260025 @default.
• W3156069172 cites W2886963401 @default.
• W3156069172 cites W2889977507 @default.
• W3156069172 cites W2904384477 @default.
• W3156069172 cites W2904453620 @default.
• W3156069172 cites W2909842819 @default.
• W3156069172 cites W2920908612 @default.
• W3156069172 cites W2951812779 @default.
• W3156069172 cites W2964108538 @default.
• W3156069172 cites W2965245334 @default.
• W3156069172 cites W2966859846 @default.
• W3156069172 cites W2969816384 @default.
• W3156069172 cites W2988411636 @default.
• W3156069172 cites W2997017208 @default.
• W3156069172 cites W3005490509 @default.
• W3156069172 cites W3008303152 @default.
• W3156069172 cites W3010545774 @default.
• W3156069172 cites W3010961564 @default.
• W3156069172 cites W3022788861 @default.
• W3156069172 cites W3048497117 @default.
• W3156069172 cites W3087412425 @default.
• W3156069172 cites W3091808936 @default.
• W3156069172 cites W3096888337 @default.
• W3156069172 cites W3108985592 @default.
• W3156069172 cites W3121165779 @default.
• W3156069172 cites W3122427858 @default.
• W3156069172 cites W3123103453 @default.
• W3156069172 cites W3123421168 @default.
• W3156069172 cites W3123537636 @default.
• W3156069172 cites W3123634275 @default.
• W3156069172 cites W3125640693 @default.
• W3156069172 doi "https://doi.org/10.1016/j.eneco.2021.105271" @default.
• W3156069172 hasPublicationYear "2021" @default.
• W3156069172 type Work @default.
• W3156069172 sameAs 3156069172 @default.
• W3156069172 citedByCount "197" @default.
• W3156069172 countsByYear W31560691722021 @default.
• W3156069172 countsByYear W31560691722022 @default.
• W3156069172 countsByYear W31560691722023 @default.
• W3156069172 crossrefType "journal-article" @default.
• W3156069172 hasAuthorship W3156069172A5000043923 @default.
• W3156069172 hasAuthorship W3156069172A5058096893 @default.
• W3156069172 hasAuthorship W3156069172A5069692822 @default.
• W3156069172 hasConcept C104317684 @default.

• next