A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method
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 pa...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/904693 |
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| author | Xianhua Wu Guo Wei Lingjuan Yang Ji Guo Huaguo Lu Yunfeng Chen Jian Sun |
| author_facet | Xianhua Wu Guo Wei Lingjuan Yang Ji Guo Huaguo Lu Yunfeng Chen Jian Sun |
| author_sort | Xianhua Wu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a235fa045cf14a08bffe992d9411b338 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-a235fa045cf14a08bffe992d9411b3382025-02-03T06:07:57ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/904693904693A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output MethodXianhua Wu0Guo Wei1Lingjuan Yang2Ji Guo3Huaguo Lu4Yunfeng Chen5Jian Sun6Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, ChinaDepartment of Mathematics & Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USACollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, ChinaSchool of Languages and Cultures, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, ChinaPopular Science Propaganda Center, China Meteorological Administration, Beijing 100081, ChinaPublic Meteorological Service Center, China Meteorological Administration, Beijing 100081, ChinaConcentrating 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.http://dx.doi.org/10.1155/2014/904693 |
| spellingShingle | Xianhua Wu Guo Wei Lingjuan Yang Ji Guo Huaguo Lu Yunfeng Chen Jian Sun A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method The Scientific World Journal |
| title | A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method |
| title_full | A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method |
| title_fullStr | A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method |
| title_full_unstemmed | A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method |
| title_short | A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method |
| title_sort | comprehensive estimation of the economic effects of meteorological services based on the input output method |
| url | http://dx.doi.org/10.1155/2014/904693 |
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