‍An empirical analysis of main factors affecting the rice harvest loss based on the ordered multinomial logistic model

WU Linhai1,2 HU Qipeng1 ZHU Dian3 WANG Jianhua2

(1.Research Base for Food Security of Jiangsu Province, Jiangnan University)
(2.Collaborative Innovation Center for Food Security and Nutrition)
(3.Dongwu Business School, Suzhou University)

【Abstract】In this study, the meaning of the rice harvest loss was defined based on previous research on definition of postharvest grain losses and the realities in China. The current rice harvest loss in different areas in China was analyzed based on sampling survey data from 957 farmers in 10 provinces in China. On this basis, the main factors affecting the rice harvest loss and their marginal effects were investigated by using the ordered multinomial logistic model. The survey found that 56.13% of subjects believed that the rice harvest loss was 4% or below in China though there were differences among the provinces. Results revealed that proportion of family business income, the size of production area, level of mechanization, timely harvest, and attitude toward harvest had a negative effect on the rice harvest loss. On the other hand, that whether farmers having experience as migrant workers or not had a positive effect on the rice harvest loss. Moreover, bad weather and being short of hands during harvest significantly increased rice postharvest losses.

【Keywords】 rice; harvest loss; ordered multinomial logistic model; marginal effect;

【DOI】

【Funds】 2015 Special Food Programme for Public Benefits (201513004-6) Fund for Outstanding Innovation Team on Humanities and Social Sciences of Colleges and Universities in Jiangsu Province (2013-011)

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    Footnote

    [1]. ①The postharvest food loss rate is the ratio of postharvest food loss to total food output. [^Back]

    [2]. ②Source: website of the State Statistics Bureau (http://www.stats.gov.cn). [^Back]

    [3]. ①Because there is no standard definition of food loss and food waste in the academia, and food loss and food waste have not been strictly distinguished due to practical limitations, in order to make the data from China relating to food loss during harvest comparable to overseas data, food loss discussed in this article includes food waste. [^Back]

    [4]. ②If a transverse crack appears on a rice grain, namely, it is cracked. Cracked grains not only show reduced quality, but also will increase broken rice ratio during post production processing. [^Back]

    [5]. ①Harvest methods mainly include combined harvest and multi-stage harvest. Wherein, multi-stage harvest includes reaping, bundling, stacking, collecting, threshing, cleaning, sorting and selecting. [^Back]

    [6]. ②The calculation is conducted using the data from China Statistical Yearbook 2014 (edited by State Statistics Bureau, China Statistics Press, 2014). [^Back]

    [7]. ③It is usually divided into six main rice producing regions in China, i.e. southern China, central China, northern China, south-western China, north-eastern China where rice is produced in one season, and the dry north-western region. [^Back]

    [8]. ①According to literature from China and other countries, a consistent conclusion relating to rice postharvest loss is that rice postharvest loss rates usually are between 3% and 7%. [^Back]

    [9]. ②Rice postharvest loss rate = rice harvest loss per mu / rice output per mu. [^Back]

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This Article

ISSN:1006-4583

CN: 11-3586/F

Vol , No. 06, Pages 22-33+95

November 2015

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Article Outline

Abstract

  • 1 Introduction
  • 2 Literature review and definitions
  • 3 Survey designs and the sample analysis
  • 4 Theoretical model and variable setting
  • 5 Estimation results from the model and discussions
  • 6 Conclusion
  • Footnote

    References