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基于熵权法的中国木材加工业国际竞争力比较研究 被引量:1

Comparative Study on International Competitiveness of Chinese Wood Processing Industry Based on Entropy Weight Method
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摘要 基于2000-2016年数据,使用国际市场占有率、贸易竞争力指数和相对贸易优势指数对2016年木材加工业进出口总额排名前13的国家进行比较分析,并运用熵权法综合评价中国木材加工业国际竞争力。结果表明:使用熵权法比仅使用单个指标对中国木材加工业国际竞争力进行评价更加准确。中国木材加工业在国际市场上具有较强的竞争力,同时也面临着许多威胁:印度尼西亚等东南亚国家的成本优势日益突出;国际分工日益细化,而中国的木材加工业仍然处于初级加工阶段,产业增加值低,使得中国木材加工业国际竞争力逐渐下降。 Based on the data of the top 13 countries in 2016 of the total import and export volume of the wood processing industry in the period of 2000~2016, this study uses the international market share,trade competitiveness index and relative trade advantage index to compare and analyze Chinese wood processing industrial international competitiveness by using the entropy weight method. The result shows that it is more accurate to use entropy weight method to evaluate the international competitiveness of Chinese wood processing industry than using only a single index, and Chinese wood processing industry has strong international competitiveness as well as many threats at the same time, which are the cost advantages of Southeast Asian countries such as Indonesia have become increasingly prominent. The international division of labor is becoming more and more detailed, while Chinese wood processing industry is still in the primary stage of processing, and the low added value of industry makes the international competitiveness of Chinese wood processing industry gradually decline.
作者 陈美炎 林伟明 戴永务 CHEN Mei-yan;LIN Wei-ming;DAI Yong-wu(College of Management of Fujian Agriculture and Forestry University, Fuzhou 350002, China;Research center for collective forestry reform and development of the state forestry administration, Fuzhou 350002, China;Jinshan College, Fujian Agriculture and Forestry University, Fuzhou 350002,China)
出处 《中国林业经济》 2018年第3期30-33,38,共5页 China Forestry Economics
基金 福建省高等学校新世纪优秀人才支持计划资助项目(K80QL247) 福建农林大学科技创新专项基金项目(KFA17458A)
关键词 木材加工业 熵权法 国际竞争力 wood processing industry entropy weight method international competitiveness
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