A spatial econometric study on effects of fiscal and financial supports for agriculture in China

YuanDong, Gao; Wen, Tian; Wen, Yi; Xiao-hua, Wang

doi:10.17221/126/2012-agricecon

Cited by 12 publications

(9 citation statements)

References 20 publications

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“…At present, the research on grain production efficiency mainly concentrates on DEA model [6,7], scholars usually select land resources, labor resources and other factors of production as input indicators [8,9]. However, at the 19th National Congress of the Communist Party of China (CPC), China stressed the importance of increasing financial support for agricultural production, and continued to implement the fiscal policy of supporting agriculture under the background of the strategy of "balancing urban and rural development" [10]. China will establish a long-term mechanism for ensuring steady growth of funding for agricultural production, and continue to increase funding for agricultural infrastructure construction and comprehensive agricultural development [11].…”

Section: Introductionmentioning

confidence: 99%

Research on grain production efficiency in China’s main grain producing areas from the perspective of financial support

et al. 2021

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Grain production is vital to the national economy and people’s livelihood, and improving grain production efficiency is of great significance to the sustainable development of China’s economy and society. From the perspective of financial support, using the DEA global Malmquist productivity index model and based on the data of 13 main grain producing areas in China from 2001 to 2017, this paper discusses the evolution characteristics and regional distribution differences of the total factor productivity index of grain production in China’s main grain producing areas. The results show that from 2001 to 2017, the total factor productivity index of grain production in China’s main grain producing areas showed an overall fluctuation trend of gradual decline, with an average annual decline of 7.3%. From the perspective of spatial analysis, the grain production efficiency in China’s main grain producing areas is characterized by uneven spatial development, which is generally manifested as the decreasing trend from the central region to the eastern and western regions. Meanwhile, it can be seen from the decomposition index that the change of total factor productivity of grain production in China’s main grain producing areas mainly depends on the change of technical efficiency.

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Section: Introductionmentioning

confidence: 99%

Research on grain production efficiency in China’s main grain producing areas from the perspective of financial support

et al. 2021

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“…Several recent studies have suggested that public policies or supports in a jurisdiction could affect the agriculture sector in surrounding regions. Yuandong et al (2013) estimated the effects of China's fiscal and financial supports on farmers' per capita net income using a provincial panel data during 2007-2010 and a spatial panel model. Their findings suggest that the fiscal supports produced positive direct and spillover effects on farmer income over the study period; while the spatial spillover effect of financial supports had become negative after the policy reinforcement in 2004.…”

Section: Introductionmentioning

confidence: 99%

Effects of government supports and credits on Turkish agriculture

Koc¹,

Kıymaz³

et al. 2019

JADEE

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Purpose Domestic supports on Turkish agriculture have substantially increased over the past decade while empirical evaluation of their output impact is limited. Also, the existing literature often neglects potential spatial spillover effects of agricultural policies or subsidies. The purpose of this paper is to quantify the direct and spillover effects of Turkish agricultural domestic measures and agricultural credits use on the added agricultural value. Design/methodology/approach This study applied a spatial panel model incorporating spatial interactions among the dependent and explanatory variables to evaluate the impact of government support and credit on Turkish agricultural output. A provincial data set of agricultural output values, input factors and government subsidies from 2004 to 2014 was used to model the spatial spillover effects of government supports. Findings Results show that a one percent increase in agricultural credits in a given province leads to an average increase of 0.17 percent overall in agricultural value-added per hectare, including 0.05 percent from the direct effect and 0.12 percent from the spillover effect. Contrary to agricultural credits, a one percent increase in government supports in a province generates a mixed direct and spillover effects, resulting in an overall reduction of 0.13 percent in agricultural value-added per hectare in Turkey. Research limitations/implications This study could be extended by controlling for climate, biodiversity and investment factors to agricultural output in addition to input and policy factors if such data were available. Originality/value This study fills the gap in the literature by determining the total effect, including direct and spatial spillover effect, of domestic supports and credits on Turkish agricultural value. The findings provide crucial information to decision makers regarding the importance of incorporating spatial spillover effects in the design of agricultural policy.

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“…Schaltegger and Zemp 2003;Lundberg 2001). The same is proposed for the simple Durbin models, where independent variables are spatially lagged (Yuandong et al 2013). On this basis more sophisticated models are being built.…”

Section: Estimation Issuesmentioning

confidence: 99%

Strategy of Spatial Panel Estimation: Spatial Spillovers Between Taxation and Economic Growth

Kopczewska

Kudła

Walczyk

2015

Appl. Spatial Analysis

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Spatial panels are a powerful econometric tool for the estimation of spacedependent cross-sectional time-series models of economic phenomena. A plethora of parameters and possible specifications require a systematic approach to estimation. This paper presents a strategy of estimation to be considered in applied research on economic policy, including the concept of spatial spillovers and its local and global effects, direct and indirect impacts, as well as the role of different spatial weighting schemes. The paper presents fiscal factors affecting GDP between the years 2002-2015 in a number of European economies.

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A spatial econometric study on effects of fiscal and financial supports for agriculture in China

Cited by 12 publications

References 20 publications

Research on grain production efficiency in China’s main grain producing areas from the perspective of financial support

Research on grain production efficiency in China’s main grain producing areas from the perspective of financial support

Effects of government supports and credits on Turkish agriculture

Strategy of Spatial Panel Estimation: Spatial Spillovers Between Taxation and Economic Growth

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