Technical efficiency and productivity of farms: a periurban case study analysis

Gaviglio, Anna; Filippini, Rosalia; Madau, Fabio A.; Marescotti, Maria Elena; Demartini, Eugenio

doi:10.1186/s40100-021-00181-9

Cited by 19 publications

(20 citation statements)

References 41 publications

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“…Table 2 showed that most (78.8%) of the youth were unemployed in the study areas. Similarly, [37] [38] reported high unemployed among youth in rural areas. High youth unemployment might lack job opportunities or skills and experience required in our study sites.…”

Section: Employment Status Farming Experience and Landholdingmentioning

confidence: 94%

An Assessment of Youth Involvement in Agricultural Activities in Eastern Cape Province, South Africa

Mthi¹,

Yawa²,

Tokozwayo³

et al. 2021

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Youth, who make up the majority of South Africa's population and will be the future responsible citizens, confront numerous obstacles, including a lack of access to land, finance, markets, practical training, and incentives. The low interest of youngsters in agriculture is attributed to the poor status of agricultural output in Africa's rural areas due to a lack of government support. The study was conducted to assess the involvement of youths in agricultural activities in Eastern Cape Province, South Africa. The convenient sampling technique was used, and qualitative data were collected from 104 participants using a pre-tested structured questionnaire. The questionnaire covered demographic characteristics, land ownership status, contact with extension personnel, and involvement in farming activities, funding, and constraints. Descriptive statistics and chi-square test were used for data analysis. The results showed that there were more males (59.6%) participants than females (40.4%) and the majority (74%) were between 20 -35 years of age, 52.9% had senior secondary school level of education and came from a household size ranging from 6 -19. Approximately 88.5% of participants had an agricultural background with an annual income of less than R20,000.00. More than half (51.9 %) of the study population, had farming experience less than 5 years, while 52.9% owned less than 2 hectares of land, and 78.8% were self-employed. Findings revealed that age (χ 2 = 5.519, P < 0.01) and farming experience (χ 2 = 43.

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Section: Employment Status Farming Experience and Landholdingmentioning

confidence: 94%

An Assessment of Youth Involvement in Agricultural Activities in Eastern Cape Province, South Africa

Mthi¹,

Yawa²,

Tokozwayo³

et al. 2021

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“…They recommended relevant extension programs to fill in the efficiency gap. Gaviglio et al (2021) carried out a study on crops and livestock farms among 50 randomly sampled farmers in Milan, Italy to determine the level of technical efficiency and the farm productivity. In their study, two models were considered; constant and variable returns to scale DEA.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring technical efficiency and its determinants among sweet potatoes farmers in Western Uganda

Midamba¹,

Alela²,

Atukunda³

et al. 2022

Afr. J. Agric. Res.

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Sweet potato is one of the important staple food for majority of Ugandans. As such, it is depended on by many households. Reportedly, sweet potatoes production is low especially in Western Uganda. This may have been attributed to resource misallocation leading to some levels of efficiency or inefficiency. However, the current level of efficiency or inefficiency and its determinants in sweet potatoes production is unknown. As such, this study determined technical efficiency and its determinants among sweet potatoes farmers in western Uganda. Data were collected from 160 households using multistage and random sampling techniques. After data cleaning, 151 questionnaires were considered for the study. Data envelopment analysis was used to determine technical efficiency while Tobit regression model was used to analyse the determinants technical efficiency. The results showed that the mean technical efficiency stood at 55%. Accordingly, household size, farm location, group membership and use of pesticides had a positive and statistically significant effect on technical efficiency while farm size and input prices had an inverse and statistically significant association with technical efficiency. To increase on sweet potatoes yields, farmers should be encouraged to form various groups where they could share production ideas, use pesticides for effective control of weeds and government should subsidise farm inputs to improve on affordability and timely acquisition.

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“…The analysis of economic and financial efficiency of agriculture has long been the subject of numerous studies. Efficiency was studied at the level of the whole agricultural sector [19,20], as well as at the level of plant and animal production holdings [2,6,[21][22][23][24]. In the above-mentioned studies, technical and scale efficiency or inefficiency of the researched objects were determined, the sizes of production gaps were determined and rankings of the researched objects were made according to the efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Agriculture is one of the most important sectors of the economy, as it plays a key role in food production and the conservation of natural resources. The economic and financial efficiency of farms, or agricultural sectors [1][2][3][4][5][6][7], has been a central focus of research to date. The World Bank [8] estimates indicate that cereal and meat production will increase by 50% and 85%, respectively, in response to increasing demand between 2000 and 2030.…”

Section: Introductionmentioning

confidence: 99%

“…The main objective of the paper is to determine the efficiency of agriculture in EU countries in a comprehensive and multidimensional way, i.e., taking into account economic, energy and environmental aspects by using a non-parametric Data Envelopment Analysis (DEA) method. The specific objectives include, (1) indicating which methods/techniques are used to assess the eco-efficiency of agriculture, (2) proposing changes in the level of inputs for inefficient agriculture in accordance with the idea of benchmarking, which could contribute to the improvement of efficiency. The research will verify the hypothesis that agriculture in EU countries with a higher level of economic and energy efficiency is characterised by a higher environmental efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Economic and Environmental Aspects of Agriculture in the EU Countries

Baran

2021

Energies

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The analysis of the economic efficiency of agriculture has been the subject of numerous studies. An economically efficient agricultural sector is not always environmentally efficient. Agriculture is a large emitter of greenhouse gases. The Intergovernmental Panel on Climate Change states that food production and agriculture are responsible for 21–37% of total global CO2 emissions. Due to the comprehensive assessment of the agricultural efficiency, it is worthwhile to apply to its measurement an integrated approach based on economic, energy and environmental aspects. These aspects were the main reasons for undertaking this research. The purpose of the study was to determine the economic, energy and environmental efficiency of agriculture in the EU Member States in 2019. The environmental analyses relate to the period 1990–2019. A total of 26 member states of the European Union (excluding Malta and Luxembourg) were selected for research. The sources of materials were Eurostat and the European Environmental Agency. This study was based on the Data Envelopment Analysis method, and used the DEA model focused on minimizing inputs. The research also adopts energy productivity and greenhouse gas emission efficiency indicators. The DEA model features the following variables: one effect (value of agricultural production) and four inputs (land, labour, use of fertilizers and use of energy). It was found that seven out of the 26 studied EU countries have efficient agriculture. The efficient agriculture group included The Netherlands, Denmark, Greece, Cyprus, the United Kingdom, Italy and Ireland. Based on the DEA method, benchmarks have been defined for countries with inefficient agriculture. On the basis of these benchmarks for inefficient agricultural sectors, it was possible to determine how they could improve efficiency to achieve the same results with fewer inputs. This issue is particularly important in the context of sustainable agricultural development. In the next stage of the research, the analysis of economic and energy efficiency was combined with the analysis of GHG emission efficiency in agriculture. Four groups of countries have been distinguished: eco-efficiency leaders, eco-efficiency followers, environmental slackers, eco-efficiency laggards. The leaders of the classification were The Netherlands, Italy, Greece, Cyprus and Portugal.

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Technical efficiency and productivity of farms: a periurban case study analysis

Cited by 19 publications

References 41 publications

An Assessment of Youth Involvement in Agricultural Activities in Eastern Cape Province, South Africa

An Assessment of Youth Involvement in Agricultural Activities in Eastern Cape Province, South Africa

Measuring technical efficiency and its determinants among sweet potatoes farmers in Western Uganda

Economic and Environmental Aspects of Agriculture in the EU Countries

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