Poverty and employment in forest-dependent counties

被引:0
作者
Berck, P [1 ]
Costello, C
Fortmann, L
Hoffmann, S
机构
[1] Univ Calif Berkeley, Gianni Fdn Agr Econ, Dept Agr & Resource Econ, Berkeley, CA 94720 USA
[2] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA
[3] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
关键词
forest policy; old-growth; vector autoregressive analysis;
D O I
暂无
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
One of the most controversial aspects of federal and state policies aimed at protecting old-growth ecosystems is the potential effect of job losses on local economic conditions. A fundamental question for historically forest-dependent areas is whether these policies will result in local economic stagnation and enduring pockets of poverty. This study uses monthly, multicounty time series data to estimate a vector autoregressive model of the experience of northern California counties during the 1980s and 1990s. It examines the long-run impact of changes in timber-related employment on other employment and participation in major federal poverty programs. It finds that employment base-multiplier effects of timber employment on other county employment are small and state economic conditions rather than local employment conditions are the principal driver behind local poverty.
引用
收藏
页码:763 / 777
页数:15
相关论文
共 75 条