FAOSTAT 粮食价值链领域的实施:投入产出建模和分析应用

Q3 Decision Sciences Statistical Journal of the IAOS Pub Date : 2024-05-01 DOI:10.3233/sji-230079
Silvia Cerilli, Michele Vollaro, Veronica Boero, Olivier Lavagne d’Ortigue, Jing Yi
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引用次数: 0

摘要

最近,国际论坛、公共机构和学术界对粮食系统的经济和政策分析日益关注,这就要求提供能够说明各经济部门和价值链内部相互关系的信息和数据。国际政策议程正在推动根据 2030 年议程及其可持续发展目标的建议,在国家和地区层面更有效地实施各项措施,为此需要更系统和综合的数据,说明各项政策对经济、社会和环境的影响。粮农统计数据库最近发布的 "粮食价值链领域 "正是响应了这一号召。其数据和信息揭示了国内最终食品支出在各行业(农业、食品加工、批发、零售、住宿和餐饮服务)之间的分布情况,以及相对食品价值链上的主要因素(如:劳动力、总经营盈余)。因此,粮农统计数据库域提供了有关食品价值链中农场和农场后环节的可靠而详细的信息。粮农组织正在全球范围内推广应用的 "全球粮食美元 "方法,是以投入产出表中的列昂惕夫分解法为基础的。此外,在没有投入产出表的情况下,现在可以通过应用粮农组织根据欧洲(EUROSTAT)、联合国(UNSD)和国际统计标准(如国民账户体系)制定的转换方法,从供应-使用表中推算出投入产出表。这样就可以将分析范围扩大到一些非洲、亚洲和拉丁美洲国家,这些国家定期编制的只是供应和使用表,而不是各行业的投入产出表。因此,该方法的潜在时间和数据覆盖范围大大扩展。本文旨在介绍将《供应-使用表》转换为《全球粮食美元》方法的《投入-产出表》的概念框架,以及这些方法的潜在实施范围。此外,还介绍了应用方法的初步分析结果。本文介绍的新方法和数据以符合国际统计标准的数据为基础,如国民账户体系,因此具有国家间可比性,与更大的数据可用性相关联,有可能有效支持国际、区域和国家层面的粮食政策,并有助于根据《2030 年议程》做出决策。
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FAOSTAT Food Value Chain Domain implementation: Input Output modelling and analytical applications
The recent increasing attention to the economic and policy analysis of the food systems from international fora, public institutions and academia calls for the availability of information and data capable of informing about the interrelations across economic sectors and within value chains. The international policy agenda is pushing for a more effective application of measures at country and regional level in line with the recommendations of the 2030 Agenda and its Sustainable Development Goals, for which more systematic and integrated data about economic, social and environmental impacts of policies are requested. The Food Value Chain Domain recently published in FAOSTAT responds to this call. Its data and information shed light on the distribution of final domestic food expenditures across industries (Agriculture, Food Processing, Wholesale, Retail, Accommodations and Food Services) and primary factors (e.g.: Labour, Gross Operating Surplus) on the relative food value chain. The FAOSTAT Domain offers therefore robust and granular information on both the farm and the post-farm gate component of the Food Value Chain. The applied Global Food Dollar methodology, that FAO is contributing to upscale at global level, is based on Leontief decomposition approach on the Input-Output tables. Moreover, whenever the Input-Output table are not available, it is now possible to impute them from Supply-Use tables by applying a conversion methodology, developed by FAO in compliance with European (EUROSTAT), United Nations (UNSD) and international statistical standards as the System of National Accounts. This allows to extend the analysis to several African, Asian, and Latin American countries that produce on regular basis only Supply and Use Tables, and not Industry by industry Input Output Tables. The potential time and data coverage of the methodology is therefore significantly expanded. The aim of this paper is to describe the conceptual framework of the conversion methodology of Supply-Use Tables into Input-Output Tables of the Global Food Dollar methodology, and the potential implementation scope of these methodologies. Preliminary analytical findings of the applied methodologies are presented as well. The new methods and data presented in this paper, being based on data compliant with the International Statistical Standards, as the System of National Accounts, and therefore comparable across countries, associated to larger data availability, have the potential to effectively support food policies at international, regional and national level, as well as contribute to a decision making in line with the 2030 Agenda.
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来源期刊
Statistical Journal of the IAOS
Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
0.00%
发文量
116
期刊介绍: This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
期刊最新文献
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