Proceedings of the 4th International Conference on New Computational Social Science (ICNCSS 2024)

Climate Adaptation Funds on Agricultural GDP

Authors
Anqian Tan1, *
1Information Engineering University, Luoyang, Henan, 471000, China
*Corresponding author. Email: 1465170174@qq.com
Corresponding Author
Anqian Tan
Available Online 29 April 2024.
DOI
10.2991/978-2-38476-230-9_9How to use a DOI?
Keywords
adaptation policies; agricultural GDP; DAG; VECM
Abstract

There are no conclusions yet on the best adaptation policies affecting agricultural GDP. Based on the statistics and questionnaire survey for Yutian County and using a combination of vector cointegration the article aims to reveal the effects of three main external adaptation policies, including the improved varieties, water-saving irrigation and the grazing prohibition, on agricultural GDP growth in arid areas. The results are as follows. 1) Every 1% increase in adaptation investment of improved variety, water-saving irrigation and grazing prohibition will explain the agricultural GDP growth of 0.78%, 0.52%, and 0.27%, respectively. 2) The improved variety‘s influence on agricultural GDP keeps increasing and eventually reaches about 14%. 3) About 18% of agricultural GDP growth can be reported by the adaption investment in water-saving irrigation, which means that improving capacity of the water irrigation is still the most important and direct means to stimulating the GDP growth in Yutian County. Adaption investments in water-saving irrigation have greater influences on the variation of the improved variety, which means the latter passively adapt to the former. The recursive test results indicate that our conclusions are robust. Our research has showed that actively external policies help to improve the climate adaptation in the arid areas and increase the agricultural GDP.

Copyright
© 2024 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 4th International Conference on New Computational Social Science (ICNCSS 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 April 2024
ISBN
10.2991/978-2-38476-230-9_9
ISSN
2352-5398
DOI
10.2991/978-2-38476-230-9_9How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Anqian Tan
PY  - 2024
DA  - 2024/04/29
TI  - Climate Adaptation Funds on Agricultural GDP
BT  - Proceedings of the 4th International Conference on New Computational Social Science (ICNCSS 2024)
PB  - Atlantis Press
SP  - 75
EP  - 84
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-230-9_9
DO  - 10.2991/978-2-38476-230-9_9
ID  - Tan2024
ER  -