A Comprehensive Estimation of the Economic Effects of Meteorological Services, Based on the Input-Output Method

Xianhua Wu () and Ji Guo ()
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Xianhua Wu: Shanghai Maritime University
Ji Guo: Shanghai Maritime University

Chapter Chapter 14 in Economic Impacts and Emergency Management of Disasters in China, 2021, pp 391-421 from Springer

Abstract: Abstract Concentrating on consuming coefficient, partition coefficient and Leontief inverse matrix, relevant concepts and algorithms are developed for estimating the impact of meteorological services including the associated (indirect, complete) economic effect. Subsequently, quantitative estimations are particularly obtained for the meteorological services in Jiangxi province by utilizing the input-output method. It is found that the economic effects are noticeably rescued by the preventive strategies developed from both the meteorological information and internal relevance (interdependency) in the industrial economic system. Another finding is that the ratio range of input in the complete economic effect on meteorological services is about 1:108.27–1:183.06, remarkably different from a previous estimation based on the Delphi method (1:30–1:51). Particularly, economic effects of meteorological services are higher for non-traditional users of manufacturing, wholesale and retail trades, services sector, tourism and culture and art, and lower for traditional users of agriculture, forestry, livestock, fishery and construction industries.

Keywords: Meteorological service; Direct (associated; complete; indirect) economic effect; Input-output model (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-1319-7_14

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DOI: 10.1007/978-981-16-1319-7_14

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