Determinants of microregional agricultural labour productivity – Evidence from Czechia

Ženka, Jan; Slach, Ondřej; Krtička, Luděk; Žufan, Petr

doi:10.1016/j.apgeog.2016.04.004

Cited by 17 publications

(11 citation statements)

References 47 publications

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“…However, in loose housing farms within the largest herd size, category production was estimated as 130 kg/MPh, which can be attributed to the use of the milking systems used at its capacity. Additionally, Zenka et al (2016) did not found a positive correlation between productivity and farm size in Czech dairy farms, while they attributed the low productivity of the farms that participated in the study in factors related to the lack of the use of mechanisation and management practices. Moreover, as mentioned by Dannenberg and Kuemmerle (2010), small farms have the ability to find alternative sources to maintain their income as a balance for their inability to compete with scale economies.…”

Section: Discussionmentioning

confidence: 86%

How can working time analysis contribute to the production efficiency of dairy farms in mountain regions?

Poulopoulou

Nock

Steinmayer

et al. 2017

Italian Journal of Animal Science

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The aim of the present study was to (1) estimate the labour input on loose and tie stall housing dairy farms in South Tyrol; (2) to develop a tool for the extension service available to propose strategies for improving labour productivity. The study performed on 102 dairy farms, half of them with tie and half with loose housing. Daily and non-daily working activities surveyed with a questionnaire. Nine tie stall and 10 loose housing farms were selected for on-site measurements to determine the working time of each activity and validate questionnaire data. Average herd size was 16.3 and 23.2 cows for tie stall and loose housing farms, respectively. Effects of housing type and herd size category on total and single working time were examined. In tie stalls and herd size <10 total working time was estimated as 270 manpower hours (MPh) per cow per year while loose housing and herd size >21 cows required 82 MPh/cow/year. Labour costs were estimated as 34.9 and 19.2 Euro cents per kg of milk for tie and loose housing, while milk production per working hour determined as 56.9 and 86.7 kg/MPh, respectively. The required MPh/cow/year decreased as the herd size increased. Efficient organisation of working time with an increase in herd size might improve production efficiency and sustainability of mountain dairy farming. However, it has to be taken into consideration that because of limited space and the fact that most farmers are only working part time on farm, the improvement of labour management is of higher importance. ARTICLE HISTORY

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Section: Discussionmentioning

confidence: 86%

How can working time analysis contribute to the production efficiency of dairy farms in mountain regions?

Poulopoulou

Nock

Steinmayer

et al. 2017

Italian Journal of Animal Science

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“…If the consideration of spatial heterogeneity is missing in scientific guidance practices and a regional homogenization agricultural policy design scheme is formed, it will undoubtedly lead to deviation between the policy implications effect and the established development goals (Grainger & Smith, 2021; He et al, 2023), resulting in the inaccuracy or invalidity of the relevant agricultural overall management strategy (Jin et al, 2019; Peng et al, 2020). On the other hand, scholars usually use posterior knowledge instead of prior knowledge for academic analysis, lacking composite convergence judgment of “time + space” (Gong, 2020; Ženka et al, 2016), and qualitative deduction from a single factor cannot reflect the possible negative impact of interregional fairness on the improvement of APE (Arvor et al, 2017; Song & Ren, 2022; Zhao et al, 2021). The spatial imbalance level of APE reflects the gap and potential of agricultural production maximization among regions, and its convergence is an important indicator to judge potential improvement in low‐efficiency areas and maintenance advantages in high‐efficiency areas (Adom & Adams, 2020; Liu et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Agricultural production efficiency estimation and spatiotemporal convergence characteristic analysis in the Yangtze River Economic Belt: A semi‐parametric metafrontier approach

Guo

Gui

2023

Land Degrad Dev

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The sustainable development goals regard improving agricultural production efficiency (APE) as the main method to solve food security problems. Based on the geographical cognition, combined with the functional positioning, we used meta semi‐parametric linear programming and spatial convergence models to analyze the spatiotemporal convergence characteristics of APE in the Yangtze River Economic Belt from 2000 to 2020. The results show that (1) under the framework of metafrontier analysis, the APE increases while maintaining an olive‐shaped stable structure of “sharp at both ends and wide in the middle”; (2) the efficiencies in agricultural production areas and the middle reaches has obviously declined compared with that of non‐agricultural production areas; and (3) non‐spatial factors and spatial factors jointly drive the convergence. The research results can provide references for clarifying the evolution law of regional agriculture and formulating differentiation macro policies.

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“…According to Pelucha et al [14], when discussing European territorial cohesion, NUT2 and NUT3 include rural areas with varying characteristics, making local or microregional analysis more appropriate. The locality's unique mix of natural resources, know-how, traditions, and culture allows for a more detailed assessment of the determinants of agricultural productivity [15]. However, there is a limited understanding of the factors that effectively influence agricultural labor productivity at a micro-level, specifically within different farming systems and production contexts.…”

Section: Introductionmentioning

confidence: 99%

“…However, there is a limited understanding of the factors that effectively influence agricultural labor productivity at a micro-level, specifically within different farming systems and production contexts. The primary focus of research on agricultural productivity has predominantly been at the national [3,16] and regional [4,9,17] scales, with a limited number of studies examining local variations, specifically at the municipal level [15]. This study specifically concentrates on the commune (Freguesia in Portuguese), which is the smallest administrative spatial unit in Portugal and serves as a division within a municipality.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Drivers of Microregional Agricultural Labor Productivity: Empirical Insights from Portugal

Dinis

2023

Agriculture

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Understanding the factors that influence agricultural productivity is critical for promoting sustainable food production, economic growth, and rural livelihoods. Despite the fact that numerous theoretical and empirical studies on agricultural productivity have been conducted in recent decades, few have focused on the local geographical level, investigating the impact of specific agroecological conditions and farming systems. The current study examines the geographical micro-level determinants of labor productivity for all farmers and agricultural holdings in Portugal by estimating the parameters of an extended Cobb–Douglas production function and using panel data techniques. In general, the findings support major findings in empirical and theoretical literature that show a positive relationship between labor productivity and farm size, mechanization, irrigation, and human capital. Labor productivity is higher in regions with a higher prevalence of Mediterranean farming systems, such as orchards, vineyards, and horticultural crops, possibly due to crop suitability and ancient specialized knowledge, implying that a shift in farming techniques and crop selection, in balance with local natural and social specificities, may increase agricultural output and income for rural communities.

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Determinants of microregional agricultural labour productivity – Evidence from Czechia

Cited by 17 publications

References 47 publications

How can working time analysis contribute to the production efficiency of dairy farms in mountain regions?

How can working time analysis contribute to the production efficiency of dairy farms in mountain regions?

Agricultural production efficiency estimation and spatiotemporal convergence characteristic analysis in the Yangtze River Economic Belt: A semi‐parametric metafrontier approach

Exploring the Drivers of Microregional Agricultural Labor Productivity: Empirical Insights from Portugal

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