Application of spatial econometric approach in the evaluation of rural development policy: the case of measure Modernisation of agricultural holdings

Travnikar, Tanja; Juvančič, Luka

doi:10.7896/j.1307

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…In the case of LFA-M, a more signifi cant increase occurred for the supported farms; at the unsupported farms the increase was smaller. Labour productivity increased more signifi cantly in LFA-M, and especially at the supported farms, in line with the fi ndings of Travnikar and Juvančič (2013). The increase was milder at the supported farms in LFA-O and non-LFA, and there was no signifi cant change in the given period for the unsupported farms.…”

Section: Discussionsupporting

confidence: 80%

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The impact of investment support from the Rural Development Programme of the Czech Republic for 2007-2013 on the economic efficiency of farms

Hlavsa¹,

Hruška²,

Туркова³

2017

Stud. Agr. Econ.

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Section: Discussionsupporting

confidence: 80%

“…A study in the Czech Republic (Medonos et al, 2012) led to similar fi ndings. Travnikar and Juvančič (2013) examined farms participating in the Slovenian Rural Development Plan. Their results showed a positive relationship between farm investment support and agricultural labour productivity.…”

Section: Introductionmentioning

confidence: 99%

The impact of investment support from the Rural Development Programme of the Czech Republic for 2007-2013 on the economic efficiency of farms

Hlavsa¹,

Hruška²,

Туркова³

2017

Stud. Agr. Econ.

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“…Samples of treated and control agents of farmers were obtained by using propensity score matching. Travnikar and Juvancic [74] used a spatial econometric approach to examine the impact of investment support on agricultural holdings in Slovenia. They confirmed a positive relationship between farm investment support and agricultural labour productivity, and spatial spillovers in agricultural labour productivity.…”

Section: Combining Impact Analysis With Measuring and Decomposing Tfpmentioning

confidence: 99%

“…Combining impact analysis with the measurement of TFP by estimating a spatial stochastic frontier, as done by [2,74], could be exploited to understand the effects on smallholder productivity and income of a multitude of government policies and development plans implemented in the Philippines.…”

Section: Measuring Decomposing and Explaining Tfp Growth In Smallholmentioning

confidence: 99%

Spatial Econometric Analysis: Potential Contribution to the Economic Analysis of Smallholder Development

Villano¹,

Fleming²,

Moss³

2015

Causal Inference in Econometrics

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The stars appear to be aligned for a sustained effort to improve information to rural development policy makers about the impact space has on the opportunities for development of the ubiquitous smallholder households in rural areas of Southeast Asian countries. The influences of spatially heterogeneous resource constraints on farming activities, distance to markets and institutions, and spatial interaction among smallholders can now be better accounted for in modelling work as a result of improvements in analytical methodologies, the growing availability of so-called 'big data' and access to spatially defined information in panel data sets. The scope for taking advantage of these advances is demonstrated with two examples from a Southeast Asian country, the Philippines: spillovers and neighbourhood effects in impact studies and the development of sophisticated spatial stochastic frontier models to measure and decompose productivity growth on smallholdings.

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“…Buchta andT. Buchta (2009), T. Medonos et al (2012), T. Travnikar and L. Juvančič (2013), and J. Mezera and J. Špička (2013) found that investment support helps to increase income of the beneficiaries and improve labour productivity.…”

Section: Introductionmentioning

confidence: 99%

The evaluation of the impact of support on Lithuanian farms investments

Kriščiukaitienė

Namiotko

Kripaitis

2015

Management Theory and Studies for Rural Business and Infrastructure Development

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The paper aims to evaluate the impact of support on Lithuanian farms investments. Logistic regression, also called a logit model, was used to determine the probability of investing. The regression was estimated on cross-sectional data set of Lithuanian family farms participating in the Farm Accountancy Data Network. It was specified for investments in machinery and equipment. The research showed that support encourages investments in machinery and equipment. However, scenario analysis revealed that the impact of different support scenarios on the probability of investing is relatively small. It was also confirmed the importance of farm characteristics in making investments.

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Application of spatial econometric approach in the evaluation of rural development policy: the case of measure Modernisation of agricultural holdings

Cited by 7 publications

References 11 publications

The impact of investment support from the Rural Development Programme of the Czech Republic for 2007-2013 on the economic efficiency of farms

The impact of investment support from the Rural Development Programme of the Czech Republic for 2007-2013 on the economic efficiency of farms

Spatial Econometric Analysis: Potential Contribution to the Economic Analysis of Smallholder Development

The evaluation of the impact of support on Lithuanian farms investments

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