The dynamic effects of government-supported farm-investment activities on structural change in Austrian agriculture

Kirchweger, Stefan; Kantelhardt, Jochen

doi:10.1016/j.landusepol.2015.05.005

Cited by 39 publications

(24 citation statements)

References 54 publications

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“…The DiD technique is based on comparing outcomes of participants and non-participants (first difference) before and after policy implementation (second difference). When participants and non-participants are previously matched with PSM or another matching method (see for instance [34]), the methodological approach is usually called conditional DiD. PSM-DiD approach was recommended to estimate 2007-2013 RDP ex-post impacts [9].…”

Section: World Bank European Commission (Ec)mentioning

confidence: 99%

Reviewing Counterfactual Analyses to Assess Impacts of EU Rural Development Programmes: What Lessons Can Be Learned from the 2007–2013 Ex-Post Evaluations?

2019

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Counterfactual analysis has been recommended as a means of assessing the impacts of European Rural Development Programmes (RDP) over recent years, although its application has been scarce to date. This paper examines the use of counterfactual analysis to assess socioeconomic impacts in a set of 2007–2013 ex-post evaluations. The analysis undertaken shows that a wide variety of counterfactual approaches have been applied, although certain barriers still remain to address the estimation of RDP impacts following the EU evaluation standards. Furthermore, we noted that impacts provided by individual RDP evaluations may hardly be aggregated, making it difficult to draw clear conclusions about the effectiveness of rural development policy at the EU level.

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Section: World Bank European Commission (Ec)mentioning

confidence: 99%

Reviewing Counterfactual Analyses to Assess Impacts of EU Rural Development Programmes: What Lessons Can Be Learned from the 2007–2013 Ex-Post Evaluations?

2019

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“…Because the actual number of dairy shed places created by the investment was not apparent from the data, the level of investment was used as a proxy in order to control for this. The observed slow increase in livestock numbers after the investments [5][6][7] is an indication that the increased dairy shed capacity initially remained unutilised [9]. Accordingly, it is expected that size (of an investment) has a negative impact on the adjustment phase.…”

Section: Modelmentioning

confidence: 99%

“…In fact, there is evidence that investments in dairy sheds are not, at least immediately, an economic success. Several studies have shown that the cattle population only grows with some delay following investment in dairy sheds [5][6][7]. Sauer and Latacz-Lohmann (2015) [8] point to the fact that an investment is followed by a phase of efficiency improvement that lasts for two years.…”

Section: Introductionmentioning

confidence: 99%

Survival Analysis for the Adjustment Phase Following Investment in Swiss Dairy Sheds

et al. 2019

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We analysed the adjustment phase following a dairy shed investment. On the basis of farm observations from both the Swiss Farm Accountancy Data Network (FADN) and a database of government-supported investments from 2003 through 2014, we focused on the imputed profit, the farm income minus opportunity costs for family labour and family capital. After investment, the analysed farms needed three years to return to the same profit level as that before the investment (median value). A Cox proportional-hazards model (survival analysis) showed that the probability of reattaining the imputed profit increased with equity capital. A reduction of the probability was related to a high imputed profit, a high off-farm income, high expenses for purchased animals and, in particular, a greater use of family labour before the investment. We conclude that the use of family labour after investment should be addressed more thoroughly during the planning process prior to an investment.

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“…In this chapter, we suggest to look to strategic structural adjustments needed in terms of land use and irrigation in Tunisia to deal with future water scarcity. Structural change in agriculture is defined as being the adjustment of the agricultural sector to the changing conditions of demand and supply [21]. This complex and dynamic process constitutes a reallocation of land use and farm specialization, as well as repositioning of the agricultural sector as compared to other sectors of the economy [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

“…Structural change in agriculture is defined as being the adjustment of the agricultural sector to the changing conditions of demand and supply [21]. This complex and dynamic process constitutes a reallocation of land use and farm specialization, as well as repositioning of the agricultural sector as compared to other sectors of the economy [21][22][23]. Within this general framework, the objective of this paper is to simulate the scope of future water scarcity scenarios on the agricultural sector of Tunisia and to provide recommendations on how to reduce its effects through a CC adaptive policy plan.…”

Section: Introductionmentioning

confidence: 99%

Effects of Water Scarcity on the Performances of the Agricultural Sector and Adaptation Strategies in Tunisia

Chebil¹,

Jebari²,

Thabet³

et al. 2019

Agricultural Economics - Current Issues

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The chapter aims to develop a regionally disaggregated agricultural supply model for Tunisia in order to investigate the potential effects of increasing water scarcity on the performances of the agricultural sector in the country, and the structural adaptation strategies needed to face such a challenge. A set of scenarios combining future water availability, water use efficiency, and increasing producer prices were simulated using the developed model. Results show that the agricultural sector in Tunisia, particularly the agricultural employment, would be negatively affected in case of decreasing irrigation water availability, and mostly affected regions would be the north east, central west, and southern areas. However, it is always possible to mitigate such effects through a combination of structural adjustments (changing land use in different regions), enhanced water use efficiency, and support of producer prices. The model also provides recommendations regarding specific crops that should be promoted in specific regions in order to maintain an agricultural sector with high added value in Tunisia.

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The dynamic effects of government-supported farm-investment activities on structural change in Austrian agriculture

Cited by 39 publications

References 54 publications

Reviewing Counterfactual Analyses to Assess Impacts of EU Rural Development Programmes: What Lessons Can Be Learned from the 2007–2013 Ex-Post Evaluations?

Reviewing Counterfactual Analyses to Assess Impacts of EU Rural Development Programmes: What Lessons Can Be Learned from the 2007–2013 Ex-Post Evaluations?

Survival Analysis for the Adjustment Phase Following Investment in Swiss Dairy Sheds

Effects of Water Scarcity on the Performances of the Agricultural Sector and Adaptation Strategies in Tunisia

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