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.
Author ORCID Identifier
Paul M. Jakus https://orcid.org/0000-0001-9261-3709
Sherzod B. Akhundjanov https://orcid.org/0000-0003-3372-3574
.csv, .dta, .do, .txt
Utah Agricultural Experiment Station; Utah State University Cooperative Extension
Utah State University
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.
Jakus, P. M., & Akhundjanov, S. B. (2018). Neither Boon nor Bane: The Economic Effects of a Landscape-Scale National Monument. Land Economics, 94(3), 323–339. https://doi.org/10.3368/le.94.3.323
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.
Agricultural and Resource Economics
This work is licensed under a Creative Commons Attribution 4.0 License.
Jakus, P. M., & Akhundjanov, S. B. (2017). Grand Staircase Escalante Economic Effects Data. Utah State University. https://doi.org/10.15142/T3C917
Additional FilesREADME.txt (4 kB)
Beef cattle inventory Utah Garfield Kane.csv (1 kB)
billed AUM and drought data.csv (1 kB)
Stata Data file GSENM-Natl Park Annual Visitation.dta (3 kB)
Stata Data file for GSENM D-in-D models.dta (69 kB)
Stata Code file for GSENM D-in-D models.do (1 kB)
UT_synthcontroldata 6-9-17.csv (232 kB)
Rcode.txt (18 kB)
Grand_Staircase_Economic_Data_Files.zip (475 kB)
Read Me data file documentation.txt (4 kB)