농식품 감모 및 폐기 통계 구축을 위한 기초연구 } : 한국농촌경제연구원

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연구보고서

농식품 감모 및 폐기 통계 구축을 위한 기초연구

2008.11.01 41656

과제성격

연구보고(R568)
저자

황윤재, 조명기; 한재환
등록일

2008.11.01
연구주제

농업생산유통.

원문보기 좋아요

요약문

생산이후 유통, 가공, 소비 등의 과정에서 발생하는 농식품의 감모 및 폐기는 농식품 공급량 및 식품자급률 감소, 소비자의 실질소득과 구매력 감소, 자원의 낭비 등 경제적·사회적으로 다양한 영향을 미칠 수 있다. 이러한 경제·사회적인 문제를 해결하기 위해서는 감모 및 폐기 실태를 파악할 필요가 있으며, 이의 일환으로 감모 및 폐기 통계 구축의 필요성이 꾸준히 제기되어 왔다.
이 연구는 농식품 감모 및 폐기 통계 구축을 위해 필요한 기초사항들을 조사하여 향후 통계 구축을 위한 기반을 조성하기 위해 수행되었다. 이에 따라 이 연구보고서에서는 선행연구와 주요국의 농식품 감모 및 폐기 관련 자료를 검토하여 농식품 감모 및 폐기의 개념을 정립하고, 사례연구를 통해 주요 농식품의 생산이후 유통, 가공, 소비단계에서의 농식품 감모 및 폐기 발생의 요인과 특성을 파악함으로써 농식품 감모 및 폐기 통계 구축 방향을 담고 있다.

Agro-food loss and waste is caused by different factors in the course of production, distribution, processing and consumption of agro-good, and it affects the economy and society in a various manner. In order to resolve problems stemming from agro-food loss and waste, detailed understanding of its status should be achieved by establishing statistics on agro-food loss and waste. This study has the purpose of researching basic elements necessary to build statistics on agro-food loss and waste and then of laying the foundation for systematic and consistent statistics.
To meet the purpose above, the study is largely divided into the four sections. Chapter 2 explains the concept of agro-food loss and waste and the current status of measuring local and foreign agro-food loss and waste. Chapter 3 shows a finding by reviewing the Japanese and the US data on agro-food loss and waste. Chapter 4 analyzes the causes and features of loss and waste of key agro-foods by processing step. Chapter 5 suggests a direction for building loss and waste statistics on agro-food based on the results above.
In the study, agro-food loss and waste refers to quantitative loss of agro-food caused by the disposal of harvested agro-food and accumulated until the value of its usability is fully gone. In particular, loss refers to any type of quantity loss including weight reduction not accompanied by disposal. Waste refers to partial or entire disposal of agro-food with intention in order to handle rotten or deteriorated produce and adjust produce volume.
In this study, eight commodities including rice, potato, Chinese cabbage, radish, onion, apple, and mandarin are selected from the staple crop, vegetable and fruit categories. Interviews and questionnaire-based surveys were conducted against stakeholder for each step of agro-food processing from production to consumption to understand the causes and current status of loss and waste of agro-food. In the process, the direction for building the loss and waste statistics was determined.
When building the statistics on agro-food loss and waste by commodity, in principle, it is intended to build the statistics by each processing step of agro-good after harvesting from production to consumption. Therefore, based on this assumption, except for the initial screening after harvesting, all processing steps including production, wholesale, retail and consumption should be covered.
The research is supposed to cover loss and waste to identify overall food loss. However, it should be also considered that quantity reduction is not the major cause of loss, and compared with waste measuring loss through actual research is not easy. The items for research should include the waste ratio for edible and inedible portions of a commodity by processing step and the loss ratio by commodity.
The research on statistics by processing step from production to consumption should consider and reflect features and differences by commodity. Research items could be selected among vegetables, fruits and potatoes in consideration of 1) significance in food supply, 2) relevance to existing statistics and 3) occurrence status of reduction and waste.
To generalize the statistical research results, it is more desirable to select interviewees and regions from nationwide by commodity and processing step. As for research methods, considering research efficiency, effectiveness, representation capability and credibility, proper methods including interview, measurement and producers’ log-based research could be used separately or in parallel.
Research cycle could be set by applying the same period to all processing steps or applying different periods by processing step depending on their features and research efficiency. However, in the decision making stage, cost factor should be considered as well including the cost of administrative resources mobilized for statistical researches.
To select the leading research entity responsible for building agro-food loss and waste statistics, things like relevance to previous statistics and researches and consistency in statistics and efficiency of statistical researches should be taken into consideration. Broadly speaking, a research on agro-food loss and waste could be conducted by 1) Ministry of Agriculture, Fishery and Food or National Statistical Office alone or 2) in conjunction with related research agencies and relevant organizations.
In general, if a single organization conducts a research alone, consistency can be guaranteed for the research. However, administrative and cost burden might be notable due to the breadth of research target, scope and contents. If multiple organizations are involved in conducting a research, efficient implementation will be possible due to expertise and statistical research system of each participating party. However, this brings about the issue of amalgamating research results, requiring efficient and effective interplay of related organizations. If participating in a research is not binding on them, in reality pursuing the research will be very difficult. Due to the involvement of multiple organizations, contents consistency may be difficult to maintain and the amalgamation of different research results will not be easy. Therefore, if you consider assigning each step of a statistical research to different agencies depending on their specialty, a long-term implementation plan should be established first before bringing the research into action.
Researchers: Hwang Yun-Jae, Cho Myung-ki and Han Jae-Hwan
E-mail address: yjhwang@krei.re.kr