Yuki Fuchigami, Takaaki Kuyama, Hirotaka Komata, K. Kojiro, Y. Furuta
{"title":"当地木材分布情景对当地经济波动效应的影响","authors":"Yuki Fuchigami, Takaaki Kuyama, Hirotaka Komata, K. Kojiro, Y. Furuta","doi":"10.2488/jwrs.65.226","DOIUrl":null,"url":null,"abstract":"In order to identify the economic ripple effect on a local target area from the use of local wood, an input-output analysis of interindustry relationships was performed to calculate induced production values and induced gross added values for nine distribution scenarios. Our study was conducted by using an input-output table with Kyoto prefecture as the local target area. Final demand was assumed to be 8.132 million yen. As a result, the economic ripple effect was maximized in a scenario based on local production for local consumption (log production, lumber manufacturing and processing, and consumption all taking place within the prefecture), and induced production value under this scenario was approximately 3.5 times greater than the value in an unadjusted scenario (a scenario that represents the current lumber distribution in Kyoto Prefecture). Only four scenarios in which sites of manufacturing and processing were configured to be within the prefecture resulted in a ratio of induced production value greater than 1. While the production value was barely induced for silviculture and log production in scenarios in which log production occurs outside of the prefecture, the results show an induced production value of approximately 0.4 million yen and 1 million yen for silviculture and log production, respectively, in scenarios in which the production sites were located within the prefecture.","PeriodicalId":49800,"journal":{"name":"Mokuzai Gakkaishi","volume":" ","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2019-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of Distribution Scenario of Local Wood on the Economic Ripple Effect in the Local Region\",\"authors\":\"Yuki Fuchigami, Takaaki Kuyama, Hirotaka Komata, K. Kojiro, Y. Furuta\",\"doi\":\"10.2488/jwrs.65.226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to identify the economic ripple effect on a local target area from the use of local wood, an input-output analysis of interindustry relationships was performed to calculate induced production values and induced gross added values for nine distribution scenarios. Our study was conducted by using an input-output table with Kyoto prefecture as the local target area. Final demand was assumed to be 8.132 million yen. As a result, the economic ripple effect was maximized in a scenario based on local production for local consumption (log production, lumber manufacturing and processing, and consumption all taking place within the prefecture), and induced production value under this scenario was approximately 3.5 times greater than the value in an unadjusted scenario (a scenario that represents the current lumber distribution in Kyoto Prefecture). Only four scenarios in which sites of manufacturing and processing were configured to be within the prefecture resulted in a ratio of induced production value greater than 1. While the production value was barely induced for silviculture and log production in scenarios in which log production occurs outside of the prefecture, the results show an induced production value of approximately 0.4 million yen and 1 million yen for silviculture and log production, respectively, in scenarios in which the production sites were located within the prefecture.\",\"PeriodicalId\":49800,\"journal\":{\"name\":\"Mokuzai Gakkaishi\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2019-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mokuzai Gakkaishi\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.2488/jwrs.65.226\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATERIALS SCIENCE, PAPER & WOOD\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mokuzai Gakkaishi","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.2488/jwrs.65.226","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, PAPER & WOOD","Score":null,"Total":0}
Influence of Distribution Scenario of Local Wood on the Economic Ripple Effect in the Local Region
In order to identify the economic ripple effect on a local target area from the use of local wood, an input-output analysis of interindustry relationships was performed to calculate induced production values and induced gross added values for nine distribution scenarios. Our study was conducted by using an input-output table with Kyoto prefecture as the local target area. Final demand was assumed to be 8.132 million yen. As a result, the economic ripple effect was maximized in a scenario based on local production for local consumption (log production, lumber manufacturing and processing, and consumption all taking place within the prefecture), and induced production value under this scenario was approximately 3.5 times greater than the value in an unadjusted scenario (a scenario that represents the current lumber distribution in Kyoto Prefecture). Only four scenarios in which sites of manufacturing and processing were configured to be within the prefecture resulted in a ratio of induced production value greater than 1. While the production value was barely induced for silviculture and log production in scenarios in which log production occurs outside of the prefecture, the results show an induced production value of approximately 0.4 million yen and 1 million yen for silviculture and log production, respectively, in scenarios in which the production sites were located within the prefecture.