A network data envelopment analysis (NDEA) model of post-harvest handling: the case of Kenya’s rice processing industry

Eucabeth Majiwa, Boon L. Lee, Clevo Wilson, Hidemichi Fujii, Shunsuke Managi

研究成果: Contribution to journalArticle査読

4 被引用数 (Scopus)

抄録

Food security is a global challenge. With rising world population and demand for food being compounded by resource and arable land constraints, raising the efficiency of food production and use has become increasingly important. While much of the research on food security is focused on farm efficiency and productivity, most neglect post-harvest (PH) handling which is critical in determining the availability of food. In this study, we employ the network Data Envelopment Analysis (DEA) model to evaluate the PH efficiency of milling, using data from Kenya’s rice processing industry. The results show lower efficiency scores when using a network DEA model, which reflects its greater discriminatory power when compared to the standard DEA approach. The study also quantified sources of productive efficiency using a fractional regression model and identified storage space and distance to market as having an impact on drying efficiency; while experience, age of mill, servicing and energy type influenced milling efficiency. The results suggest that policy makers should focus on investing in drying technologies and storage facilities to improve drying efficiency. To improve milling efficiency, policy recommendations include enhancing millers’ access to better technologies, investing in reliable sources of energy and providing PH handling workshops to reduce PH losses.

本文言語英語
ページ(範囲)631-648
ページ数18
ジャーナルFood Security
10
3
DOI
出版ステータス出版済み - 6 1 2018

All Science Journal Classification (ASJC) codes

  • 食品科学
  • 開発
  • 農業および作物学

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