title: A comprehensive estimation of the economic effects of meteorological services based on the input-output method.
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 nontraditional 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.
authors.affiliation: Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China ; School of Economics and Management, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
authors.forename: Xianhua
authors.initials: X
authors.lastname: Wu
authors.affiliation: Department of Mathematics & Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USA.
authors.forename: Guo
authors.identifier: 0000-0001-9988-0498
authors.initials: G
authors.lastname: Wei
authors.affiliation: Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China ; School of Economics and Management, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
authors.forename: Lingjuan
authors.initials: L
authors.lastname: Yang
authors.affiliation: Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China ; School of Economics and Management, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
authors.forename: Ji
authors.initials: J
authors.lastname: Guo
authors.affiliation: School of Languages and Cultures, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
authors.forename: Huaguo
authors.initials: H
authors.lastname: Lu
authors.affiliation: Popular Science Propaganda Center, China Meteorological Administration, Beijing 100081, China.
authors.forename: Yunfeng
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Public Meteorological Service Center, China Meteorological Administration, Beijing 100081, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Sun
mesh_terms: D000465:Algorithms; D002681:China; D007221:Industry / Q000191:economics*; D055904:Meteorology / Q000191:economics*; D018803:Models, Economic; D013223:Statistics as Topic