文献类型：期刊文献

英文题名：The Impact of Industrial Agglomeration on Carbon Emissions from Forestry Product Exports: Evidence from China

作者：Su, Haiying[1] Gao, Shuaiyin[2] Zhang, Haokun[2] Xing, Fangyuan[2] Hou, Fangmiao[2]

第一作者：宿海颖

通信作者：Hou, FM[1]

机构：[1]Chinese Acad Forestry, Res Inst Forestry Policy & Informat, Beijing 100091, Peoples R China;[2]Beijing Forestry Univ, Coll Econ & Management, Beijing 100083, Peoples R China

年份：2025

卷号：17

期号：1

外文期刊名：FORESTS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001672710400001)】；

基金：This research was funded by the Research on China-Russia Forestry Investment Cooperation (2024) and the National Social Science Fund of China, grant number 22BJY222.

语种：英文

外文关键词：forestry industry; industrial clustering; carbon emission reduction; dual carbon strategy

摘要：This study examines the relationship between industrial agglomeration and carbon emissions in China's forestry industry, using panel data from 30 provincial-level regions between 2009 and 2020. The industrial agglomeration level is measured by the Location Quotient (LQ), which is calculated based on regional employment shares to reflect the concentration of the forest products industry. This study finds that LQ exhibits a multiplicative effect-meaning that its influence on carbon emissions amplifies through interactive mechanisms of scale, technology diffusion, and spatial concentration. Four carbon indicators-carbon emissions from export products, carbon emission intensity, energy intensity, and energy structure cleanliness-are analyzed. Employing a threshold regression model, the study identifies nonlinear effects of agglomeration on carbon outcomes. The estimated threshold value (LQ = 0.7122) divides the process into three stages: (1) an embryonic stage (LQ < 0.7122) with rising emissions and declining efficiency; (2) a growth stage (around LQ approximate to 0.7122) with simultaneous increases in emissions and efficiency; and (3) a mature stage (LQ > 0.7122) where emissions decline as efficiency improves. These results reveal that the environmental effects of forestry industrial agglomeration evolve nonlinearly across development stages.