Skip to content
Research Article Open access CC BY 4.0

Meta-analysis of Technical Efficiency in Selected Agricultural Sub-sectors: Implications for Policy Making in Developing Countries like Sri Lanka

S. M. P. Senevirathne, M. H. S. M. Hettiarachchi, R. P. W. A. Dilrukshi, G.D. Kapila Kumara, A. D. Ampitiyawatta, C. K. Beneragama

Asian Journal of Research in Agriculture and Forestry · pp. 42–57 · Published 19 Jun 2021

10.9734/ajraf/2021/v7i230127

Abstract

Aims: To evaluate the technical efficiency (TE) in selected agricultural sub-sectors and to propose possible policy interventions to the government with the aim of reducing the poverty of farmers in the developing world. Study design: A meta-analysis based on empirical studies conducted by various scientists throughout the developing world. Methodology: Research articles for the meta-analysis were selected using a thorough screening process based on the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) concept. Selected 94 articles were sub-divided in to three main agriculture sub-sectors for detailed analysis; (a) paddy, other field crops-OFC and vegetables, (b) fruits, and (c) livestock. Mean TE of each crop or livestock type was calculated by averaging the TE values for a particular crop or livestock type across different studies included in this study. Results: TE data presented in the original articles showed a considerable dispersion within a given study. The highest mean TE was recorded in B-onion (0.83±0.15) whereas the lowest was recorded in maize (0.703±0.09) and in soybean (0.705±0.13). The TE of chili cultivation was 0.78 with the greatest variability (standard error of mean [SEM] 0.19) among the crops considered, which signifies the unpredictable nature of the chili cultivation. Mango was found to be the least technically efficient crop among the studied, with a mean TE of 0.596±0.11. Dairy, poultry and aquaculture farming operations were found to be highly technically efficient having mean TE values of 0.80±0.16, 0.89±0.02 and 0.88±0.08 respectively. Conclusion: Findings of this study will lead to several key policy implications including, improvement of the socioeconomic characteristics of farmers, implementation of farmer field schools (FFS) and establishment of a cautious and gradual strategy for expansion of the rural financial institutions.

Agricultural Technical Efficiency (TE) Meta-analysis policy implications PRISMA

References (23)

  1. 1 Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon [DOI]
  2. 2 Joint Life Cycle Assessment and Data Envelopment Analysis for the benchmarking of environmental impacts in rice paddy production [DOI]
  3. 3 Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach [DOI]
  4. 4 An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming [DOI]
  5. 5 Optimization of energy consumption of dairy farms using data envelopment analysis – A case study: Qazvin city of Iran [DOI]
  6. 6 The Potential for Transition to Paid Extension: Some Guiding Economic Principles [DOI]
  7. 7 Sustainable and efficient energy consumption of corn production in Southwest Iran: Combination of multi-fuzzy and DEA modeling [DOI]
  8. 8 Energy use efficiency in greenhouse tomato production in Iran [DOI]
  9. 9 Factors Affecting Technical Efficiency of Rice Farmers in Village Reservoir Irrigation Systems of Sri Lanka [DOI]
  10. 10 A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production [DOI]
  11. 11 Comparative analysis of technical efficiency for different production culture systems and species of freshwater aquaculture in Peninsular Malaysia [DOI]
  12. 12 Joint data envelopment analysis and life cycle assessment for environmental impact reduction in broiler production systems [DOI]
  13. 13 Productivity improvement in Korean rice farming: parametric and non‐parametric analysis† [DOI]
  14. 14 Technical efficiency of traditional African vegetable production: A case study of smallholders in Tanzania [DOI]
  15. 15 Application of data envelopment analysis for performance assessment and energy efficiency improvement opportunities in greenhouses cucumber production.
  16. 16 Profitability and Technical Efficiency of Pineapple Production in Ogun State, Nigeria [DOI]
  17. 17 Diversity and Distribution of Calvatia Species in India: A New Record from Central India [DOI]
  18. 18 Technical efficiency in Brazilian citrus production [DOI]
  19. 19 Technical efficiency analysis of mango production in central Myanmar
  20. 20 Technical Efficiency Measurement of Green Chili Production in Bogra District of Bangladesh [DOI]
  21. 21 Technical Efficiency of Brinjal Farmers in Sri Lanka: Translog Production Frontier Approach
  22. 22 Effect of ownership on energy use efficiency in watermelon farms - A DEA approach-
  23. 23 Technical Inefficiency of Chili Farms in Thailand [DOI]

Cited by 0

No indexed citations yet.

Related research

Article metrics

Real usage data collected on this platform.

27

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.