Proceedings of the 2026 5th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2026)

2026 5th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2026)

📍Dali, China🗓️ 11-13 September 2026
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Spatiotemporal Patterns, Drivers, and Socio-Ecological Synergies of Agrivoltaics in China

Authors
Xiaohan Li1, Ruishuang Zhu1, Ran Li1, Yinghe Wang1, *
1Suihua University, Suihua, 15200, China
*Corresponding author. Email: wyh971006@foxmail.com
Corresponding Author
Yinghe Wang
Available Online 10 November 2026.
DOI
10.2991/978-94-6239-825-2_7How to use a DOI?
Keywords
Agrivoltaics; Spatiotemporal Evolution; Random Forest; Comprehensive Benefit Index; Prefecture-Level Panel Data
Abstract

Based on panel data from 370 prefecture-level cities and 7 agricultural types during 2010-2022, this study systematically analyzes the temporal evolution, type-structure, driving factors, and regional comprehensive benefits of agrivoltaic projects. The innovations are: (1) constructing a four-dimensional framework of “temporal dynamics-type structure-driving attribution-comprehensive benefit”; (2) introducing Random Forest to quantify the impact of different factors on installed capacity; (3) designing a Comprehensive Benefit Index covering carbon reduction, employment generation, and economic output, overcoming the limitation of single-capacity indicators. Results show that national new capacity exhibits a “steep-rise then high-level fluctuation” pattern, with crop and fishery types dominating, and Qianxinan AP ranking highest in comprehensive benefits. This study provides data support for optimizing agrivoltaic project layout and benefit assessment.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
10 November 2026
ISBN
978-94-6239-825-2
ISSN
2352-5428
DOI
10.2991/978-94-6239-825-2_7How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaohan Li
AU  - Ruishuang Zhu
AU  - Ran Li
AU  - Yinghe Wang
PY  - 2026
DA  - 2026/11/10
TI  - Spatiotemporal Patterns, Drivers, and Socio-Ecological Synergies of Agrivoltaics in China
BT  - Proceedings of the 2026 5th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2026)
PB  - Atlantis Press
SP  - 71
EP  - 78
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-825-2_7
DO  - 10.2991/978-94-6239-825-2_7
ID  - Li2026
ER  -