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Public data openness and carbon emission reduction in administrative boundary areas

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  • Xiaolin Yu

    (Zhejiang University of Technology)

  • Kai Wan

    (Hangzhou Dianzi University)

Abstract

This paper manually matches carbon emission data from administrative boundary areas of 285 Chinese cities from 2006 to 2020 and investigates the impact of public data openness on carbon emissions in these areas, along with the underlying mechanisms. The findings reveal that public data openness significantly addresses the carbon emission challenges in boundary areas, with high-quality data openness further enhancing this effect. The mechanism analysis indicates that the reduction in information costs and the suppression of government–business collusion are the primary channels through which this effect operates. Public data openness in border areas has facilitated green technological innovation and improvements in energy efficiency. However, this effect is mainly observed in cities with advanced information technology. Its impact on the urban industrial structure is reflected in the digitalization of industries rather than the industrialization of digital sectors. Insufficient information infrastructure and contiguous poverty-stricken areas weaken the carbon reduction effect of public data openness in border regions. The conclusions of this study provide theoretical insights for spontaneous low-carbon development in administrative boundary areas in China during the data-driven era.

Suggested Citation

  • Xiaolin Yu & Kai Wan, 2025. "Public data openness and carbon emission reduction in administrative boundary areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(2), pages 1-30, June.
    • Handle: RePEc:spr:anresc:v:74:y:2025:i:2:d:10.1007_s00168-025-01374-6
    DOI: 10.1007/s00168-025-01374-6
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    1. Martin Beraja & David Y Yang & Noam Yuchtman, 2023. "Data-intensive Innovation and the State: Evidence from AI Firms in China," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1701-1723.
    2. Bai, Chong-En & Tao, Zhigang & Tong, Yueting Sarah, 2008. "Bureaucratic integration and regional specialization in China," China Economic Review, Elsevier, vol. 19(2), pages 308-319, June.
    3. Yu, Xiaolin & Wan, Kai & Du, Qunyang, 2023. "Can carbon market policies achieve a “point-to-surface” effect?—Quasi-experimental evidence from China," Energy Policy, Elsevier, vol. 183(C).
    4. Freund, Caroline L. & Weinhold, Diana, 2004. "The effect of the Internet on international trade," Journal of International Economics, Elsevier, vol. 62(1), pages 171-189, January.
    5. Simon Alder & Lin Shao & Fabrizio Zilibotti, 2016. "Economic reforms and industrial policy in a panel of Chinese cities," Journal of Economic Growth, Springer, vol. 21(4), pages 305-349, December.
    6. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    7. Abhishek Nagaraj, 2022. "T he P rivate I mpact of P ublic D ata: L andsat S atellite M aps I ncreased G old D iscoveries and E ncouraged E ntry," Management Science, INFORMS, vol. 68(1), pages 564-582, January.
    8. Chen, Zhao & Kahn, Matthew E. & Liu, Yu & Wang, Zhi, 2018. "The consequences of spatially differentiated water pollution regulation in China," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 468-485.
    9. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    10. Hongbin Cai & Hanming Fang & Lixin Colin Xu, 2011. "Eat, Drink, Firms, Government: An Investigation of Corruption from the Entertainment and Travel Costs of Chinese Firms," Journal of Law and Economics, University of Chicago Press, vol. 54(1), pages 55-78.
    11. Choi, Jay Pil & Jeon, Doh-Shin & Kim, Byung-Cheol, 2019. "Privacy and personal data collection with information externalities," Journal of Public Economics, Elsevier, vol. 173(C), pages 113-124.
    12. Cui, Liyuan & Chen, Zeyu & Huang, Yanfen & Yu, Huayi, 2024. "Window dressing: Changes in atmospheric pollution at boundaries in response to regional environmental policy in China," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    13. Botang Han & Dong Wang & Weina Ding & Lei Han, 2016. "Effect of information and communication technology on energy consumption in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 297-315, November.
    14. Matthew E. Kahn & Pei Li & Daxuan Zhao, 2015. "Water Pollution Progress at Borders: The Role of Changes in China's Political Promotion Incentives," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 223-242, November.
    15. Ghasemaghaei, Maryam & Calic, Goran, 2019. "Does big data enhance firm innovation competency? The mediating role of data-driven insights," Journal of Business Research, Elsevier, vol. 104(C), pages 69-84.
    16. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    17. Huang, Yongming & Zhang, Yanan, 2023. "Digitalization, positioning in global value chain and carbon emissions embodied in exports: Evidence from global manufacturing production-based emissions," Ecological Economics, Elsevier, vol. 205(C).
    18. Yu, Jihai & Zhou, Li-An & Zhu, Guozhong, 2016. "Strategic interaction in political competition: Evidence from spatial effects across Chinese cities," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 23-37.
    19. Qianqian Wan & Daqian Shi, 2022. "Smarter and Cleaner: The Digital Economy and Environmental Pollution," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(6), pages 59-85, November.
    20. Ma-Lin Song & Ron Fisher & Jian-Lin Wang & Lian-Biao Cui, 2018. "Environmental performance evaluation with big data: theories and methods," Annals of Operations Research, Springer, vol. 270(1), pages 459-472, November.
    21. Guo, Yani & Yan, Jiale & Zhuang, Peifen, 2025. "How does data sharing affect the sustainable development of agribusiness? Evidence from public data openness," International Review of Economics & Finance, Elsevier, vol. 97(C).
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    More about this item

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies

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