The Dynamic Impact of Agricultural Fiscal Expenditures and Gross Agricultural Output on Poverty Reduction: A VAR Model Analysis

China was the first developing country to achieve the poverty eradication target of the 2030 Agenda for Sustainable Development Goals (SDG) 10 years ahead of schedule. Its past approach has been, mainly, to allocate more fiscal spending to rural areas, while strengthening accountability for poverty...

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Main Authors: Guanglu Zeng, Chenggang Zhang, Sanxi Li, Hailin Sun
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/11/5766
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spelling doaj-53ad3b5995c84011823dca9ff480a4cc2021-06-01T00:39:18ZengMDPI AGSustainability2071-10502021-05-01135766576610.3390/su13115766The Dynamic Impact of Agricultural Fiscal Expenditures and Gross Agricultural Output on Poverty Reduction: A VAR Model AnalysisGuanglu Zeng0Chenggang Zhang1Sanxi Li2Hailin Sun3School of Economics and Management, Changsha University, Changsha 410022, ChinaDepartment of Sociology, Tsinghua University, Beijing 100084, ChinaSchool of Economics, Renmin University of China, Beijing 100872, ChinaThe Institute for Social Governance and Development, Tsinghua University, Beijing 100084, ChinaChina was the first developing country to achieve the poverty eradication target of the 2030 Agenda for Sustainable Development Goals (SDG) 10 years ahead of schedule. Its past approach has been, mainly, to allocate more fiscal spending to rural areas, while strengthening accountability for poverty alleviation. However, some literature suggests that poor rural areas still lack the endogenous dynamics for sustainable growth. Using a vector autoregression (VAR) model, based on data from 1990 to 2019, we find that fiscal spending plays a much more significant role in reducing the poverty ratio than agricultural development. When poverty alleviation is treated as an administrative task, each poor village must complete the spending of top-down poverty alleviation funds within a time frame that is usually shorter than that required for successful specialty agriculture. As a result, the greater the pressure of poverty eradication and the more funds allocated, the more poverty alleviation projects become an anchor for accountability, and the more local governments’ consideration of industry cycles and input–output analysis give way to formalism, homogeneity, and even complicity. We suggest using the leverage of fiscal funds to direct more resources to productive uses, thus guiding future rural revitalization in a more sustainable direction.https://www.mdpi.com/2071-1050/13/11/5766agricultural fiscal expendituregross agricultural outputpoverty reductionrural vitalizationsustainable development
collection DOAJ
language English
format Article
sources DOAJ
author Guanglu Zeng
Chenggang Zhang
Sanxi Li
Hailin Sun
spellingShingle Guanglu Zeng
Chenggang Zhang
Sanxi Li
Hailin Sun
The Dynamic Impact of Agricultural Fiscal Expenditures and Gross Agricultural Output on Poverty Reduction: A VAR Model Analysis
Sustainability
agricultural fiscal expenditure
gross agricultural output
poverty reduction
rural vitalization
sustainable development
author_facet Guanglu Zeng
Chenggang Zhang
Sanxi Li
Hailin Sun
author_sort Guanglu Zeng
title The Dynamic Impact of Agricultural Fiscal Expenditures and Gross Agricultural Output on Poverty Reduction: A VAR Model Analysis
title_short The Dynamic Impact of Agricultural Fiscal Expenditures and Gross Agricultural Output on Poverty Reduction: A VAR Model Analysis
title_full The Dynamic Impact of Agricultural Fiscal Expenditures and Gross Agricultural Output on Poverty Reduction: A VAR Model Analysis
title_fullStr The Dynamic Impact of Agricultural Fiscal Expenditures and Gross Agricultural Output on Poverty Reduction: A VAR Model Analysis
title_full_unstemmed The Dynamic Impact of Agricultural Fiscal Expenditures and Gross Agricultural Output on Poverty Reduction: A VAR Model Analysis
title_sort dynamic impact of agricultural fiscal expenditures and gross agricultural output on poverty reduction: a var model analysis
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-05-01
description China was the first developing country to achieve the poverty eradication target of the 2030 Agenda for Sustainable Development Goals (SDG) 10 years ahead of schedule. Its past approach has been, mainly, to allocate more fiscal spending to rural areas, while strengthening accountability for poverty alleviation. However, some literature suggests that poor rural areas still lack the endogenous dynamics for sustainable growth. Using a vector autoregression (VAR) model, based on data from 1990 to 2019, we find that fiscal spending plays a much more significant role in reducing the poverty ratio than agricultural development. When poverty alleviation is treated as an administrative task, each poor village must complete the spending of top-down poverty alleviation funds within a time frame that is usually shorter than that required for successful specialty agriculture. As a result, the greater the pressure of poverty eradication and the more funds allocated, the more poverty alleviation projects become an anchor for accountability, and the more local governments’ consideration of industry cycles and input–output analysis give way to formalism, homogeneity, and even complicity. We suggest using the leverage of fiscal funds to direct more resources to productive uses, thus guiding future rural revitalization in a more sustainable direction.
topic agricultural fiscal expenditure
gross agricultural output
poverty reduction
rural vitalization
sustainable development
url https://www.mdpi.com/2071-1050/13/11/5766
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