Shucheng Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Shucheng Liu has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
Jie Yuan
Zhejiang University of Finance and Economics
3 shared publicationsKaiming Cheng
School of Statistics and Mathematics, Zhejiang Gongshang University
3 shared publicationsDongdong Gao
Zhejiang Gongshang University
2 shared publications- Kaiming Cheng
School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China
2 shared publications Peijin Wu
School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China
2 shared publications- Peijin Wu
School of Geographic Sciences, East China Normal University, Shanghai, China
2 shared publications
Latest Publications
- 1 July 2026
- Published by Taylor & Francis in Applied Economics
- p. 1-16
Compact space, connected city: the impact of urban compactness on basic public service accessibility
- 1 July 2026
- Published by Taylor & Francis in Applied Economics
- p. 1-16
Compact space, connected city: the impact of urban compactness on basic public service accessibility
- Top Cited Papers
- 3 February 2026
- Published by Elsevier in Research in International Business and Finance
- Vol. 84
The impact of ESG news sentiment on green bond credit spreads: Signal transmission and market response
- 3 February 2026
- Published by Elsevier in Research in International Business and Finance
- Vol. 84
Top Cited PapersThe impact of ESG news sentiment on green bond credit spreads: Signal transmission and market response
- Top Cited Papers
- 3 November 2025
- Published by Springer Nature in Applied Spatial Analysis and Policy
- Vol. 18 (4) , 1-32
Towards the Equalization of Basic Public Services in Chinese Cities: Investigating the Role of Urban Polycentric Structure
- 3 November 2025
- Published by Springer Nature in Applied Spatial Analysis and Policy
- Vol. 18 (4) , 1-32
Top Cited PapersTowards the Equalization of Basic Public Services in Chinese Cities: Investigating the Role of Urban Polycentric Structure
- 2 August 2025
- Published by Springer Nature in Applied Spatial Analysis and Policy
- Vol. 18 (3) , 1-27
China’s Cross-City Consumption: Regional Preference and Mutual Benefits
- 2 August 2025
- Published by Springer Nature in Applied Spatial Analysis and Policy
- Vol. 18 (3) , 1-27
China’s Cross-City Consumption: Regional Preference and Mutual Benefits
- Open Access
- 15 April 2025
- Published by Vilnius Gediminas Technical University in Technological and Economic Development of Economy
- Vol. 31 (5) , 1372-1400
How big data development influences enterprise green technology innovation? The moderating role of digital inclusive finance
Existing research thoroughly discussed the dividend effect of big data development (BDD), but few analyses have been conducted from a micro perspective of enterprises’ green development. With the exogenous policy shock of the National Big Data Comprehensive Pilot Zone, this study takes Chinese A-share listed companies as the research objects. We adopt the difference-in-differences model to systematically assess the impact of BDD on enterprise green technology innovation (GTI) and the moderating role played by digital inclusive finance (DIF) between the two. The study reveals that BDD significantly contributes to enterprise GTI. Furthermore, the facilitating effect of BDD on GTI is more significant in large enterprises, state-owned enterprises, enterprises with higher degrees of local government data openness, and enterprises with higher levels of the real economy. The moderating effect test shows that DIF significantly moderates BDD and enterprise GTI. Mechanism tests show that BDD promotes enterprise GTI through three channels: strengthening regional environmental regulation, alleviating enterprise financing constraints, and enhancing enterprise human capital. This paper provides valuable ideas for emerging economies planning to promote sustainable growth through BDD policies.
- 15 April 2025
- Published by Vilnius Gediminas Technical University in Technological and Economic Development of Economy
- Vol. 31 (5) , 1372-1400
Open AccessHow big data development influences enterprise green technology innovation? The moderating role of digital inclusive finance
Existing research thoroughly discussed the dividend effect of big data development (BDD), but few analyses have been conducted from a micro perspective of enterprises’ green development. With the exogenous policy shock of the National Big Data Comprehensive Pilot Zone, this study takes Chinese A-share listed companies as the research objects. We adopt the difference-in-differences model to systematically assess the impact of BDD on enterprise green technology innovation (GTI) and the moderating role played by digital inclusive finance (DIF) between the two. The study reveals that BDD significantly contributes to enterprise GTI. Furthermore, the facilitating effect of BDD on GTI is more significant in large enterprises, state-owned enterprises, enterprises with higher degrees of local government data openness, and enterprises with higher levels of the real economy. The moderating effect test shows that DIF significantly moderates BDD and enterprise GTI. Mechanism tests show that BDD promotes enterprise GTI through three channels: strengthening regional environmental regulation, alleviating enterprise financing constraints, and enhancing enterprise human capital. This paper provides valuable ideas for emerging economies planning to promote sustainable growth through BDD policies.
- 20 December 2024
- Published by Taylor & Francis in Applied Economics
- Vol. 57 (59) , 10702-10718
Implications of administrative division adjustment on basic public service supply: evidence from city–county mergers in China
- 20 December 2024
- Published by Taylor & Francis in Applied Economics
- Vol. 57 (59) , 10702-10718
Implications of administrative division adjustment on basic public service supply: evidence from city–county mergers in China
- Open Access
- 1 December 2024
- Published by IOP Publishing in Environmental Research Communications
- Vol. 6 (12) , 125018
Towards inclusive green growth in Chinese cities: investigating the role of smart city construction
Smart cities are the product of the integration of China’s new urbanization and informatization. Inclusive green growth (IGG) is an important strategic idea for economic development and transformation. This study uses CRITIC-entropy weight method to quantitatively measure IGG index from the three dimensions of economic growth, green growth and inclusive growth. Based on the panel data of prefectural cities in China from 2006 to 2022, this study evaluates the impact of smart city construction on IGG using multi-period difference-in-differences and spatial difference-in-differences models. The results show that smart city construction has a significant positive impact on IGG, as well as economic growth, green growth, and inclusive growth. Meanwhile, the impact of smart city construction on IGG has significant regional heterogeneity. Mechanism test shows that smart city construction positively affects IGG through three dimensions of technology, talent, and governance. Furthermore, there is a spatial spillover effect in smart city construction, which significantly promotes economic growth and green growth in neighboring non-pilot areas, as well as economic growth in neighboring pilot areas. This study provides valuable theoretical insights and policy ideas for planning in emerging economies to promote high-quality development and ecological civilization through smart city strategy.
- 1 December 2024
- Published by IOP Publishing in Environmental Research Communications
- Vol. 6 (12) , 125018
Open AccessTowards inclusive green growth in Chinese cities: investigating the role of smart city construction
Smart cities are the product of the integration of China’s new urbanization and informatization. Inclusive green growth (IGG) is an important strategic idea for economic development and transformation. This study uses CRITIC-entropy weight method to quantitatively measure IGG index from the three dimensions of economic growth, green growth and inclusive growth. Based on the panel data of prefectural cities in China from 2006 to 2022, this study evaluates the impact of smart city construction on IGG using multi-period difference-in-differences and spatial difference-in-differences models. The results show that smart city construction has a significant positive impact on IGG, as well as economic growth, green growth, and inclusive growth. Meanwhile, the impact of smart city construction on IGG has significant regional heterogeneity. Mechanism test shows that smart city construction positively affects IGG through three dimensions of technology, talent, and governance. Furthermore, there is a spatial spillover effect in smart city construction, which significantly promotes economic growth and green growth in neighboring non-pilot areas, as well as economic growth in neighboring pilot areas. This study provides valuable theoretical insights and policy ideas for planning in emerging economies to promote high-quality development and ecological civilization through smart city strategy.
- 6 June 2024
- Published by Taylor & Francis in Applied Economics
- Vol. 57 (34) , 5065-5080
Can government digitalization promote the urban–rural equalization of basic public services? Evidence from double machine learning
- 6 June 2024
- Published by Taylor & Francis in Applied Economics
- Vol. 57 (34) , 5065-5080
Can government digitalization promote the urban–rural equalization of basic public services? Evidence from double machine learning
- Open Access
- 26 May 2024
- Published by Springer Nature in Scientific Reports
- Vol. 14 (1) , 1-16
A double machine learning model for measuring the impact of the Made in China 2025 strategy on green economic growth
The transformation and upgrading of China’s manufacturing industry is supported by smart and green manufacturing, which have great potential to empower the nation’s green development. This study examines the impact of the Made in China 2025 industrial policy on urban green economic growth. This study applies the super-slacks-based measure model to measure cities’ green economic growth, using the double machine learning model, which overcomes the limitations of the linear setting of traditional causal inference models and maintains estimation accuracy under high-dimensional control variables, to conduct an empirical analysis based on panel data of 281 Chinese cities from 2006 to 2021. The results reveal that the Made in China 2025 strategy significantly drives urban green economic growth, and this finding holds after a series of robustness tests. A mechanism analysis indicates that the Made in China 2025 strategy promotes green economic growth through green technology progress, optimizing energy consumption structure, upgrading industrial structure, and strengthening environmental supervision. In addition, the policy has a stronger driving effect for cities with high manufacturing concentration, industrial intelligence, and digital finance development. This study provides valuable theoretical insights and policy implications for government planning to promote high-quality development through industrial policy.
- 26 May 2024
- Published by Springer Nature in Scientific Reports
- Vol. 14 (1) , 1-16
Open AccessA double machine learning model for measuring the impact of the Made in China 2025 strategy on green economic growth
The transformation and upgrading of China’s manufacturing industry is supported by smart and green manufacturing, which have great potential to empower the nation’s green development. This study examines the impact of the Made in China 2025 industrial policy on urban green economic growth. This study applies the super-slacks-based measure model to measure cities’ green economic growth, using the double machine learning model, which overcomes the limitations of the linear setting of traditional causal inference models and maintains estimation accuracy under high-dimensional control variables, to conduct an empirical analysis based on panel data of 281 Chinese cities from 2006 to 2021. The results reveal that the Made in China 2025 strategy significantly drives urban green economic growth, and this finding holds after a series of robustness tests. A mechanism analysis indicates that the Made in China 2025 strategy promotes green economic growth through green technology progress, optimizing energy consumption structure, upgrading industrial structure, and strengthening environmental supervision. In addition, the policy has a stronger driving effect for cities with high manufacturing concentration, industrial intelligence, and digital finance development. This study provides valuable theoretical insights and policy implications for government planning to promote high-quality development through industrial policy.
- 21 March 2024
- Published by Springer Nature in Economic Change and Restructuring
- Vol. 57 (2) , 1-33
Spatial differences and dynamic evolution of economic resilience: from the perspective of China’s eight comprehensive economic zones
- 21 March 2024
- Published by Springer Nature in Economic Change and Restructuring
- Vol. 57 (2) , 1-33
Spatial differences and dynamic evolution of economic resilience: from the perspective of China’s eight comprehensive economic zones