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Empirical Analysis of the Effectiveness of Fiscal Agricultural Support Policies Based on Spatial Econometric Methods

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DOI: 10.23977/agrfem.2024.070114 | Downloads: 9 | Views: 207

Author(s)

Haoqi Chang 1,2

Affiliation(s)

1 College of Urban and Environmental Sciences, Central China Normal University, Wuhan, Hubei, 430000, China
2 Warner College of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA

Corresponding Author

Haoqi Chang

ABSTRACT

How to better evaluate the effect of agricultural support policies should take into account the interdependence and spatial correlation between regions. This study adopts spatial measurement method and combines regional panel data to conduct empirical analysis of the effect. This study first uses the spatial panel model to explore the inter-regional interdependence, and then uses the spatial lag model and spatial error model to analyse the impact of policies on farmland area, monthly income of farmers' families and the number of rural medical insurance users. The research results show that the policy has a significant positive impact on the farmland area, the monthly income of farmers' families and the number of people insured by rural medical insurance, and the implementation of the policy leads to the increase of farmland area. In general, the fiscal support policy promotes the sustainable development of rural economy by increasing the arable land area, increasing farmers' income and improving the level of rural social security. 

KEYWORDS

The Effectiveness of Fiscal Support for Agriculture Policies, Spatial Econometric Method, Fixed Effects Model, Spatial Dependence

CITE THIS PAPER

Haoqi Chang, Empirical Analysis of the Effectiveness of Fiscal Agricultural Support Policies Based on Spatial Econometric Methods. Agricultural & Forestry Economics and Management (2024) Vol. 7: 92-98. DOI: http://dx.doi.org/10.23977/agrfem.2024.070114.

REFERENCES

[1] Zhang Shuhui, Liu Hanyu, Wen Lei, Liu Mi. Does Financial Support for Agriculture Promote Common Prosperity of Farmers and Countryside: A General Equilibrium Study Based on Financial Linkage Funds. Journal of Shaanxi Normal University (Philosophy and Social Sciences Edition), 2023, 52 (2): 89-101.
[2] He Xingxing, Zhang Fenghui. Financial Support for Agriculture, Urbanization, and Rural Revitalization. Journal of Hunan University of Finance and Economics, 2023, 39 (6): 26-39.
[3] Liao Xinlin, Bian Xiaotong. Digital inclusive finance, fiscal support for agriculture, and urban-rural income gap. Journal of Hebei Agricultural University (Social Sciences Edition), 2023, 25 (6): 34-45.
[4] Wang Yixi, Yu Chenxi. A study on the impact of fiscal subsidies on total factor productivity of agriculture: a threshold effect test based on inter provincial panel data in China. Hubei Agricultural Science, 2023 ,62 (1): 202-208.
[5] Lv Xiaolu, Qiao Guanghua. Research on the Impact of China's Financial Support for Agriculture on Farmers' Income. Smart Agriculture Guide, 2023, 3 (15): 57-60.
[6] Mamatzakis E, Staikouras C. Common agriculture police in the EU, direct payments, solvency and income. Agricultural Finance Review, 2020, 80(4): 529-547.
[7] Magagula B, Tsvakirai C Z. Youth perceptions of agriculture: influence of cognitive processes on participation in agripreneurship. Development in practice, 2020, 30(2): 234-243.
[8] Birner R, Daum T, Pray C. Who drives the digital revolution in agriculture? A review of supply‐side trends, players and challenges. Applied economic perspectives and policy, 2021, 43(4): 1260-1285.
[9] Pe'er G, Bonn A, Bruelheide H, et al. Action needed for the EU Common Agricultural Policy to address sustainability challenges. People and nature, 2020, 2(2): 305-316.
[10] Norton G W, Alwang J. Changes in agricultural extension and implications for farmer adoption of new practices. Applied Economic Perspectives and Policy, 2020, 42(1): 8-20.
[11] Bachev H. Diagnosis of the system for sharing knowledge, innovation and digitalization in agriculture (AKIS) in Bulgaria. Journal of Integrated Marketing Communications and Digital Marketing, 2020, 1(1): 1-17.
[12] Rai A K, Bana S R, Sachan D S, et al. Advancing sustainable agriculture: a comprehensive review for optimizing food production and environmental conservation. Int. J. Plant Soil Sci, 2023, 35(16): 417-425.
[13] Basso B, Antle J. Digital agriculture to design sustainable agricultural systems. Nature Sustainability, 2020, 3(4): 254-256.
[14] Guda H, Dawande M, Janakiraman G, et al. An economic analysis of agricultural support prices in developing economies. Production and Operations Management, 2021, 30(9): 3036-3053.
[15] Scown M W, Brady M V, Nicholas K A. Billions in misspent EU agricultural subsidies could support the sustainable development goals. One Earth, 2020, 3(2): 237-250.
[16] Deaton B J, Deaton B J. Food security and Canada's agricultural system challenged by COVID‐19. Canadian Journal of Agricultural Economics/Revue canadienne dagroeconomie, 2020, 68(2): 143-149.
[17] Zou B, Ren Z, Mishra A K, et al. The role of agricultural insurance in boosting agricultural output: An aggregate analysis from Chinese provinces. Agribusiness, 2022, 38(4): 923-945.
[18] Aydoğan B, Vardar G. Evaluating the role of renewable energy, economic growth and agriculture on CO2 emission in E7 countries. International Journal of Sustainable Energy, 2020, 39(4): 335-348.
[19] Rosch S, Raszap Skorbiansky S, Weigel C, et al. Barriers to using economic experiments in evidence‐based agricultural policymaking. Applied Economic Perspectives and Policy, 2021, 43(2): 531-555.
[20] Barrett H, Rose D C. Perceptions of the fourth agricultural revolution: What’s in, what’s out, and what consequences are anticipated? Sociologia Ruralis, 2022, 62(2): 162-189.

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