Determinants of Pro-Fracking Measure Adoption by New York Southern Tier Municipalities
Bibliographic Data
| ID | 4074259 |
|---|---|
| Authors | Gwen Arnold (0000-0001-6211-6867, University of California, Davis), Kaubin Wosti Neupane (University of Wisconsin–Madison) |
| Year | 2017 |
| Volume | 34 |
| Issue | 2 |
| Pages | 208-232 |
| Publication date | 2017-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Review of Policy Research (JOURNAL) |
| Journal identifiers | ISSN: 1541-132X • E-ISSN: 1541-1338 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/ropr.12212 |
| OpenAlex | W2557430871 |
| Language | EN |
| Citations received | 13 |
| References cited | 67 |
New York municipalities passed more than 60 measures promoting high-volume hydraulic fracturing (HVHF), 2008-12. These policies and resolutions signaled to state officials that municipalities desired HVHF's promised economic benefits and were anxious for an end to the state's HVHF moratorium. They also may be evidence of municipalities proactively preparing for a drilling boom. Why did some jurisdictions adopt these measures while others did not? While scholarship suggests that policy adoption is facilitated when jurisdictions and citizens possess more resources, capacity appears to have a negative or negligible impact on pro-HVHF action. Such action appears more likely when local actors anticipate HVHF's potential gains but have not previously experienced substantial drilling, perceive that the industry could be viable locally, and can access relevant policy examples. Some lessons from conventional adoption scholarship may not apply when policies are symbolic, advocacy may be elite-driven, and mimicry is an important diffusion mechanism
Boom · Business · Economic growth · Economics · Elite · Environmental economics · Political science · Prioritization · Process management · Scholarship · Atmospheric and Environmental Gas Dynamics · Canadian Policy and Governance · Computer Science · Engineering · Law · Policy Transfer and Learning
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| Unique citing works | 13 |
|---|---|
| Citations per year | 1,63 |
| Citation span | 2018 - 2025 (8) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 13 |