Replication Data for: "The Economic Costs of NIMBYism: Evidence from Renewable Energy Projects" (doi:10.7910/DVN/H78DCE)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication Data for: "The Economic Costs of NIMBYism: Evidence from Renewable Energy Projects"

Identification Number:

doi:10.7910/DVN/H78DCE

Distributor:

Harvard Dataverse

Date of Distribution:

2024-08-06

Version:

1

Bibliographic Citation:

Jarvis, Stephen, 2024, "Replication Data for: "The Economic Costs of NIMBYism: Evidence from Renewable Energy Projects"", https://doi.org/10.7910/DVN/H78DCE, Harvard Dataverse, V1, UNF:6:pVpE08bUq2WVTBlq5B5d1A== [fileUNF]

Study Description

Citation

Title:

Replication Data for: "The Economic Costs of NIMBYism: Evidence from Renewable Energy Projects"

Identification Number:

doi:10.7910/DVN/H78DCE

Authoring Entity:

Jarvis, Stephen (London School of Economics)

Distributor:

Harvard Dataverse

Access Authority:

Jarvis, Stephen

Depositor:

Jarvis, Stephen

Date of Deposit:

2024-07-31

Holdings Information:

https://doi.org/10.7910/DVN/H78DCE

Study Scope

Keywords:

Social Sciences

Abstract:

Replication package for "The Economic Costs of NIMBYism: Evidence from Renewable Energy Projects". Abstract: Large infrastructure projects have important social benefits, but can also prompt strong local opposition. I estimate the economic costs of NIMBY (Not In My Backyard) attitudes and local planning restrictions by studying renewable energy projects. Using data on thousands of permitting applications, I show that wind and solar projects can have highly heterogeneous impacts depending on their characteristics and location. In some cases this includes significant external local costs, and I conduct a hedonic analysis to quantify the impact on nearby property values. I then show that planning officials are particularly sensitive to these local costs, especially when wealthy residents are affected. This often comes at the expense of considering the wider social benefits of these projects. These biases in the permitting process create inefficiencies that increased costs and led to substantial underinvestment in renewable energy.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

File Description--f10412230

File: tablesandfigures.tab

  • Number of cases: 63

  • No. of variables per record: 3

  • Type of File: text/tab-separated-values

Notes:

UNF:6:pVpE08bUq2WVTBlq5B5d1A==

Variable Description

List of Variables:

Variables

Figure/Table

f10412230 Location:

Variable Format: character

Notes: UNF:6:u5DKYOcaHvJD04jsCjh/Qw==

Code file

f10412230 Location:

Variable Format: character

Notes: UNF:6:7J4zAINfWxzwOO8rRMF3uw==

Output file

f10412230 Location:

Variable Format: character

Notes: UNF:6:hEWynJIjd3hPtTX95379HQ==

Other Study-Related Materials

Label:

packages.pdf

Text:

R package list

Notes:

application/pdf

Other Study-Related Materials

Label:

paper_appendix.pdf

Text:

Online Appendix

Notes:

application/pdf

Other Study-Related Materials

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readme.pdf

Text:

Readme file

Notes:

application/pdf

Other Study-Related Materials

Label:

replication.zip

Text:

Replication package

Notes:

application/zip