Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)

Statistical Analysis of Farmland Big Data Based on Kuznets Curve——Take Hebei Province as An Example

Authors
Da Gao1, *, Yadi Liang1, *
1School of Finance and Economics, Qinghai University, Xining, 810000, China
*Corresponding author. Email: 450978645@qq.com
*Corresponding author. Email: 503767783@qq.com
Corresponding Authors
Da Gao, Yadi Liang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-056-5_34How to use a DOI?
Keywords
Agricultural economy; economic statistics; Kuznets Curve
Abstract

After the 14th Five-Year Plan, improving agricultural quality, efficiency and competitiveness has become the focus of current agricultural work. As a major agricultural province, Hebei Province has also issued various relevant policies and schemes to improve the quality and efficiency of agricultural resources in the province. Economic statistical analysis under big data is also an inevitable trend of agricultural development. This paper uses Kuznets curve to sort out the relevant data of farmland environmental protection and economic development in Hebei Province in recent 20 years, and makes statistical analysis on them, in order to provide new ideas for the high-quality development of agriculture in Hebei Province. The results show that the fitting curve between the application of agricultural chemical fertilizer, the use of agricultural plastic film and the use of pesticides and the GDP of the primary industry in Hebei Province shows an inverted "U" shape, which is in line with the Kuznets curve, while the fitting line between the use of pesticides and the GDP of the primary industry shows an inverted "n" shape at the initial stage, which decreases rapidly after reaching the peak in 2017, and shows an inverted "U" shape as a whole. This shows that with economic growth, farmland pollution in this province shows a downward trend.

Copyright
© 2023 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 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-056-5_34
ISSN
2589-4900
DOI
10.2991/978-94-6463-056-5_34How to use a DOI?
Copyright
© 2023 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  - Da Gao
AU  - Yadi Liang
PY  - 2022
DA  - 2022/12/29
TI  - Statistical Analysis of Farmland Big Data Based on Kuznets Curve——Take Hebei Province as An Example
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 239
EP  - 245
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_34
DO  - 10.2991/978-94-6463-056-5_34
ID  - Gao2022
ER  -