可持续森林利用的网络和机构:来自坦桑尼亚东南部的证据

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY
Lasse F. Henriksen , Caleb Gallemore , Kelvin Kamnde , Pilly Silvano , Asubisye Mwamfupe , Mette Olwig
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引用次数: 1

摘要

尽管人们对森林认证和网络对有效自然资源管理的影响越来越感兴趣,但很少有文献将这两条调查线结合起来。结合纵向遥感和村级森林治理网络数据,我们估计了Cox比例风险模型,该模型预测了最终获得森林管理委员会认证的地区100平方米林地内的森林损失风险。我们的模型表明,森林管理委员会的认证大大减少了森林砍伐,尽管该系统并没有明确设计为这样做。虽然与民间社会组织有联系的村庄也往往会减少森林砍伐,但与私营部门组织有关的村庄会经历更多的森林损失。此外,我们发现,随着封闭三角形在村庄治理网络中的份额增加,森林损失下降。我们的研究结果表明,网络结构可以补充森林管理委员会认证对森林覆盖率的影响,并解释以前由于认证本身导致的森林砍伐减少的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Networks and institutions in sustainable forest use: Evidence from South-East Tanzania

Despite growing interest in the impacts of both forest certification and networks in effective natural resource management, there is little literature that brings these two lines of inquiry together. Combining longitudinal remote sensing and village-level forest governance network data, we estimate Cox proportional hazard models predicting the risk of forest loss within 100-square meter forest plots in areas that eventually came under Forest Stewardship Council certification. Our models indicate Forest Stewardship Council certification substantially reduces deforestation, despite that the system is not explicitly designed to do so. While villages with ties to civil society organizations also tend to experience reduced deforestation, those with ties to private sector organizations experience more forest loss. Further, we find that forest loss declines as the share of closed triangles in villages’ governance networks increases. Our results indicate network structure may complement Forest Stewardship Council certification’s impact on forest cover and account for some reduction in deforestation previously attributed to certification itself.

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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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