Description
Large, landscape-scale national monuments have long been controversial. It has been claimed that large monuments harm local economies by restricting growth of the grazing, timber, mining, and energy industries. Others have asserted that large monuments aid economic growth by reducing reliance on volatile commodity markets and fostering tourism growth. In this study, we use a synthetic control approach to measure the average causal effect of nine national monument designations on county-level per capita income. We find no evidence that monument designation affected per capita income in any of 20 counties hosting nine large (>50,000 acres) national monuments established under the Antiquities Act (six monuments) or by legislative action (three monuments). The broad economic claims of both advocates and critics of large national monuments have little empirical support. The absence of a designation effect for large national monuments is likely due to the attributes of federal land and the legal constraints under which it is managed.
Author ORCID Identifier
Paul M Jakus https://orcid.org/0000-0001-9261-3709
OCLC
1078404160
Document Type
Dataset
DCMI Type
Dataset
File Format
.csv, .txt
Viewing Instructions
Software program R is needed to use data.
Publication Date
6-17-2019
Funder
Utah Agricultural Experiment Station; USDA Regional Research Project
Publisher
Utah State University
Award Number
Utah Agricultural Experiment Station Projects UTAO1360; Utah Agricultural Experiment Station Projects UTAO1306; USDA Regional Research Project W-4133
Methodology
Data files were collected from areas listed below. The Main file contains the R code.
Main code.txt General R code for sythetic control analysis nine individual National Monument datafiles All data files have data from 1970 until 2015
CA - Carrizo Plain.csv County-level data for analysis of Carrizo Plain NM, CA
CA - Giant Sequoia.csv County-level data for analysis of Giant Sequoia NM, CA
CA - Santa Rosa.csv County-level data for analysis of Santa Rosa and San Jacinto NM, CA
CO.csv County-level data for analysis of Canyon of the Ancients NM, CO
MT.csv County-level data for analysis of Upper Missouri River Breaks NM, MT
OR Cascade.csv County-level data for analysis of Cascade-Siskiyou NM, OR
OR - Newberry.csv County-level data for analysis of Newberry NVM, OR
WA - Hanford.csv County-level data for analysis of Hanford Reach NM, WA
WA - Mt. Saint Helen.csv County-level data for analysis of Mt. Saint Helens NVM, WA
Referenced by
Jakus, P.M., and S.B. Akhundjanov The Antiquities Act, national monuments, and the regional economy J. Environmental Economics and Management 95(2019):102-117
https://doi.org/10.1016/j.jeem.2019.03.004 ; also available at https://digitalcommons.usu.edu/appecon_facpub/1269/
Language
eng
Code Lists
See the attached file variable_names_defs_General_NM _project.csv for list of variables in each data file.
Disciplines
Agricultural and Resource Economics
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Jakus, P. M., & Akhundjanov, S. B. (2018). General NM data Jakus and Akhundjanov. Utah State University. https://doi.org/10.15142/T3PS74
Checksum
15e4c1daaf91bd325443e2142215c3ac
Additional Files
README.txt (1 kB)MD5: 67aeb863997c9edcb962416663858352
Main code.txt (6 kB)
MD5: e0f126d8716a6427b4533a6a242034d3
CA - Carrizo Plain.csv (654 kB)
MD5: c991e9b7c06ed7145e86faaf130085dd
CA - Giant Sequoia.csv (654 kB)
MD5: 5b323b31f2e2d8df6b19f14b8ed5fddc
CA - Santa Rosa.csv (654 kB)
MD5: d03e4389eac023f9f815cdea4442bf49
CO.csv (733 kB)
MD5: caf58502f28935c5d96fdcb045b19baf
MT.csv (599 kB)
MD5: 47646bac301be1c4bf5176e36e0a814f
OR - Cascade.csv (364 kB)
MD5: 4822e0f47aab5f5e6519d647a1f3b2f2
OR - Newberry.csv (364 kB)
MD5: 92c76321425b39ebd5378a985c6ffc48
WA - Hanford.csv (460 kB)
MD5: f4aadbb73b6695a4337113928485829e
WA - Mt. Saint Helen.csv (460 kB)
MD5: 44f2e8ba9739ed77460ffc4a38497289
variable_names_defs_General_NM _project.csv (2 kB)
MD5: a0d8e179ac31e060cbf5ced7c9dd64fd