Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach

Zewdie, Markose Chekol; Moretti, Michele; Tenessa, Daregot Berihun; Ayele, Zemen Ayalew; Nyssen, Jan; Tsegaye, Enyew Adgo; Minale, Amare Sewnet; Passel, Steven Van

doi:10.3390/land10030246

Cited by 22 publications

(23 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The natural conditions of village water resources are mainly used to measure the impact of resource scarcity on collective action. An inverted U-shaped relationship was found between this factor and collective action, that is, in the cases of sufficient water supply and severe water shortage, farming households have no incentive to increase water supply or save water through collective cooperation [15,74].…”

Section: ) Biophysical Conditionsmentioning

confidence: 99%

Does Farmland Scale Management Promote Rural Collective Action? An Empirical Study of Canal Irrigation Systems in China

Zang

Wang

2021

Land

View full text Add to dashboard Cite

Farmland scale management represents an inevitable trend toward global modern agriculture. In the new development context, the key to solving the tough problem of the insufficient supply of rural public goods is to effectively improve the enthusiasm of farming households to participate in rural collective action in countries with a small arable area per capita, such as India, China and countries in Eastern Europe. This paper adopts the Institutional Analysis and Development (IAD) framework in the context of a land system with Chinese characteristics, and uses sample data of 3663 rural households in 17 provinces to study the impact of farmland scale and various relevant systems on farming households’ participation in rural collective action. We found that the advantages of collective action, such as reduced production costs, enhanced risk resistance and improved production efficiency, can offset the disadvantages incurred by free-riding behavior, and the expansion of farmland scale can significantly facilitate rural collective action. Additionally, as the farmland scale expands, stable farmland tenure and reasonable farmland tenure transfer can help to optimize the allocation of arable land resources, increase investment, and reduce free-riding behavior, thus effectively stimulating farming households to actively participate in collective action. However, since socialized agricultural services lead to the separation of the suppliers and the users of rural public goods, the expansion of farmland scale shows a negative effect. Therefore, in the context of the continuous migration of the rural population to cities, a stable farmland tenure adjustment mechanism should be established, while the balance between farmland tenure transfer and socialized agricultural services, in pushing forward rural collective action, should be emphasized, so as to ensure the effective supply of rural public goods in propelling farmland scale management. Especially in promoting the development of socialized agricultural services, more attention should be paid to specifying the responsibilities and obligations of the main provider of commercialized services in the supply of rural public goods.

show abstract

Section: ) Biophysical Conditionsmentioning

confidence: 99%

Does Farmland Scale Management Promote Rural Collective Action? An Empirical Study of Canal Irrigation Systems in China

Zang

Wang

2021

Land

View full text Add to dashboard Cite

show abstract

“…Given the inherent crop diversity in agricultural production, it is assumed that all deviations from the frontier are associated with inefficiency (as assumed in the data envelopment analysis approach), which is challenging to accept in this sector. Based on the following previous literature in the agriculture field [12,31,32], this study narrows down the focus to cotton output and digs into the possibility of realizing similar production frontier and efficiency relationships with the SFA method. Following Battese and Coelli, this paper applies the one stage modeling approach to more comprehensive data representing various factor included in the production frontier and efficiency analysis.…”

Section: Theoretical Conceptmentioning

confidence: 99%

Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case

Arshad¹,

Yuan-feng

Hanif

et al. 2022

Sustainability

View full text Add to dashboard Cite

Managing the declining yield of non-food crops has opened new strategic challenges amidst global uncertainties. The COVID-19 scenario has increased awareness of natural lifestyle and eco-friendly products, largely dependent on non-food crop material. This strategic shift requires moving beyond traditional farm practices to improve agricultural production efficiency, and developing countries in particular have shown a consistent loss in their self-sufficiency of industrial crops despite being major exporters of non-food crop materials. However, existing studies analyze production efficiencies of non-food crops from general or theoretical aspects often by virtual estimates from breaking down the multiple factors of crop productivity. This study examined multiple factors of crop production to identify “which crop inputs have been inefficiently used overtime” by tracking efficiency changes and various input issues in overall cotton production from practical aspects, i.e., scaling non-constant returns of those multiple factors would allow for the violation of various situations. Accordingly, a stochastic frontier approach was employed to measure the production frontier and efficiency relationship using time-series data of Pakistan’s cotton production from 1971–2018—a specific non-food crop perspective from a top-ranked cotton-producing country that has recently been shifted towards being a non-exporter of cotton due to low yield. The coefficient of area, seed, and labor indicates the positive relationship with cotton production, while fertilizer, irrigation, electricity, and machinery are statistically negative. This implies that policymakers need priority-based strategies for the judicial use of synthetic fertilizers, irrigation, a subsidy policy, and technology adoption, which could significantly improve the efficiencies of cotton productivity from the same land resources. Being adaptable to other developing economies, the analysis would strategically facilitate designing and developing affordable technology-driven solutions and their customized extensions towards sustainable non-food crop production practices and Agri-Resources efficiencies.

show abstract

“…The notion of yield gap originated from agronomy and production ecology whereby it refers to the difference between the potential yield and the actual harvest yield at the farm (Ibid). for example, according to Zewdie et al, (2021), production per unit area in African countries taking the example of Ethiopia is very low, this is indeed a yield gap.…”

Section: Understanding Technical Termsmentioning

confidence: 99%

Agricultural Technical Efficiency of Smallholder Farmers in Tanzania: A Stochastic Frontier Approach

Lutonja

2022

Preprint

View full text Add to dashboard Cite

Production efficiency across sectors of the economy is now a main point of discussion due to the growing threat of food insecurity soon. This study focused on determining the level of technical efficiency (TE) and its corresponding common factors across all crops grown by Tanzanian smallholder farmers by employing a single-step stochastic frontier model with an assumption of a Cobb-Douglas production function. The motive of this study comes from production theory and production efficiency. The study employed the cross-sectional National Sample Census of Agriculture 2019/2020 dataset while focusing on smallholder farmers operating in the long-rainy season. The results of production on frontier show that land size (Ha), seeds (Kg), and fertilizers (Kg) are the main requirement for smallholder farmers to produce their maximum output. Based on the efficiency equation, improved seeds, inorganic fertilizers, and access to extension services decrease farmers' technical inefficiency while household age and membership in a cooperative organization increase farmers' technical inefficiency. Further, the average level of technical efficiency among smallholder farmers in Tanzania is 56.7% which allows farmers to increase their output level up to 43.2% with the same level of inputs. JEL Classification: C2, C21, Q12, Q13

show abstract

Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach

Cited by 22 publications

References 52 publications

Does Farmland Scale Management Promote Rural Collective Action? An Empirical Study of Canal Irrigation Systems in China

Does Farmland Scale Management Promote Rural Collective Action? An Empirical Study of Canal Irrigation Systems in China

Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case

Agricultural Technical Efficiency of Smallholder Farmers in Tanzania: A Stochastic Frontier Approach

Contact Info

Product

Resources

About