Description

The designation of landscape-scale national monuments has generated intense debate as to whether their regional economic effects are positive or negative. National monuments can restrict land uses, thus favoring economic development based on the low-wage tourism industry relative to higher-wage extractive industries. Utah’s Grand Staircase-Escalante National Monument has been managed for landscape-scale conservation whilst protecting existing valid uses. We assess post-designation trends in the ranching, mining, and tourism industries, after which pre- and post-designation paths of per capita income are examined using difference-in-differences and synthetic control methods. We conclude that monument designation had no effect on regional per capita income.

Document Type

Dataset

Document Type

Dataset

File Format

.csv, .dta, .do, .txt

Publication Date

10-16-2017

Publisher

Utah State University

Funder

Utah Agricultural Experiment Station Utah State University Cooperative Extension

Methodology

County-level economic data were collected from the interactive files maintained by the Bureau of Economic Analysis. Census data were downloaded from the Minnesota Population Center. Beef cattle data were obtained from USDA Agricultural Census; missing beef cattle values were filled in from Utah Agricultural Statistics annual reports.

Language

eng

Code Lists

see the attached README file

Description or definition any other unique information that would help others use your data:

“Beef cattle inventory” and “Billed AUM and Drought” files were used for Figure 2 and Figure 3. Figures were generated in R by Rcode.txt file. Difference-in-Difference modeling (Table 4) was estimated in Stata 15 with the .dta and .do files. Synthetic control analysis was estimated in R using the “”UT_synthcontroldata” file and Rcode.txt.

Descriptions of parameters/variables

Stata data file GSENM-National Park Annual Visitation.dta

Stata data file for GSENM D-in-D.dta

The Stata .dta files include variable labels that provide full variable names and define variable coding.

Comments

Special software required to use data: Stata 15, R

Disciplines

Agricultural and Resource Economics

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Identifier

doi:10.15142/T3C917

Checksum

c90280b39a68d7740a18b4bc44c1a079

Grand_Staircase_Economic_Data_Files.zip (475 kB)
MD5 8b3d974704e1993c1141b798d0dbedd8

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