Data and Code for: Credit, attention, and externalities in the adoption of energy efficient technologies by low-income household

Principal Investigator(s): View help for Principal Investigator(s) Susanna B. Berkouwer, University of Pennsylvania. The Wharton School; Joshua T. Dean, University of Chicago. Booth School of Business

Version: View help for Version V1

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Data			08/23/2022 05:20:PM
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Results			08/23/2022 05:33:PM
1. run_stata.do	text/plain	1.9 KB	08/23/2022 01:40:PM
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List of Datasets.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	9.8 KB	08/23/2022 06:16:AM
List of Tables and Figures.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	11.9 KB	04/06/2022 05:30:AM
README.docx	application/vnd.openxmlformats-officedocument.wordprocessingml.document	28.7 KB	08/22/2022 11:32:AM

Project Citation:

Berkouwer, Susanna B., and Dean, Joshua T. . Data and Code for: Credit, attention, and externalities in the adoption of energy efficient technologies by low-income household. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-09-23. https://doi.org/10.3886/E166661V1

Project Description

Summary: We study an energy efficient charcoal cookstove in an experiment with 1,000 households in Nairobi. We estimate a 39% reduction in charcoal spending, which matches engineering estimates, generating a 295% annual return. Despite fuel savings of $237 over the stove’s two-year lifespan—and $295 in emissions reductions—households are only willing to pay $12. Drawing attention to energy savings does not increase demand. However, a loan more than doubles WTP: credit constraints prevent adoption of privately optimal technologies. Energy efficient technologies could drive sustainable development by slowing greenhouse emissions while saving households money.

Scope of Project

Subject Terms: Behavioral economics; Environmental economics; Development economics; Cookstoves; BDM; Credit; Attention; Randomized controlled trial; Field experiment

JEL Classification:
      D90 Micro-Based Behavioral Economics: General
      O10 Economic Development: General
      Q00 Agricultural and Natural Resource Economics; Environmental and Ecological Economics: General

Geographic Coverage: Nairobi, Kenya

Time Period(s): 3/1/2019 – 12/31/2020

Collection Date(s): 3/1/2019 – 12/31/2020

Universe: Low-income charcoal stove users in Nairobi, Kenya

Data Type(s): experimental data; survey data

Collection Notes: All surveys were administered with adults residing in Nairobi, Kenya at their homes or workplaces.

Visit 1 surveys took place between April 17 and May 14, 2019.

Visit 2 surveys took place between May 17 and July 1, 2019.

Visit 3 surveys took place between June 17 and July 26, 2019.

The long-term endline survey took place between June 15 and July 2, 2020.

SMS data was collected between April 24 and July 31, 2019 and again between June 24 and October 4, 2020.

Methodology

Collection Mode(s): computer-assisted personal interview (CAPI); face-to-face interview; other; telephone interview

Unit(s) of Observation: Individuals

Related Publications

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Published Versions

V1 [2022-09-23]

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DDI 2.5

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