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Do Localities Benefit from Natural Resource Extraction?

There is a strand of the economics literature that considers the regionalized economic effects of natural resource endowments. The so-called Natural Resource Curse suggests that natural resource endowments are associated with lower longterm growth rates in the areas in which the resources are located. Lower growth arises because these areas tend to specialize in the development and exploitation of the natural resources at the expense of other dynamic economic activities that offer higher long-term growth potential. Empirical evidence has, however, not reached consistent conclusions. In this paper, we take advantage of the rapid growth in oil and gas development and production in Texas over the course of a decade to consider the localized effects on inter-industry county-level employment at the NAICS-2, county-level mean and median income, and key public finance measures at both the county and school district levels. Considering the effects within a single, large and economically diverse state enables us to control for important state-level variables that influence local public finances. We find little evidence of short term effects necessary to generate the circumstance of a resource curse over the longer term.
- Lancaster University United Kingdom
- The University of Texas System United States
330, 336
330, 336
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
