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Data Article

Indonesia's Domestic Biogas Programme

Household panel survey data

Arjun S. Bedi

a

, Robert Sparrow

a,b

, Luca Tasciotti

a,c

a

International Institute of Social Studies, Erasmus University Rotterdam, Kortenaerkade 12, 2518 AX, The Hague, The Netherlands

bWageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands

cSchool of Oriental and African Studies, University of London, 10 Thornhaugh Street, Russell Square, London

WC1H 0XG, UK

a r t i c l e i n f o

Article history:

Received 1 December 2017 Received in revised form 12 February 2018 Accepted 28 February 2018 Available online 7 March 2018

a b s t r a c t

The data presented in this article are related to the research paper titled,“The impact of a household biogas programme on energy use and expenditure in East Java” (A.S. Bedi, R. Sparrow, L. Tasciotti, 2017) [1]. This Data in Brief article presents two rounds of survey data conducted in 2011 and 2012 for a panel of 677 dairy farm households in the province of East Java, Indonesia. The survey relied on structured questionnaires to collect data on the produc-tion and use of biogas, the use of other non-renewable energy sources, farm characteristics, and socioeconomic and demographic characteristics of households. The panel data set in STATA format and dofiles are made publicly available to promote replicability and extended analyses of a sustainable energy initiative.

& 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Specifications Table

Subject area Economics More specific

sub-ject area

Energy economics, development economics, agricultural economics Type of data STATA data set and dofiles

Contents lists available atScienceDirect

journal homepage:www.elsevier.com/locate/dib

Data in Brief

https://doi.org/10.1016/j.dib.2018.02.083

2352-3409/& 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

E-mail address:bedi@iss.nl(A.S. Bedi).

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How data was acquired

Survey

Data format Filtered and analyzed

Experimental factors Survey data of dairy farm households in East Java Experimental

features

Farm household energy use, biogas production, farm characteristics, socio-economic characteristics

Data source location East Java, Indonesia Data accessibility Data is with this article

Value of the data



Unique data of energy use and biogas production for a panel of dairy farm households in East Java, Indonesia.



Displays how access to biogas alters household use of renewable and non-renewable energy sources for cooking.



Allows an assessment of the various benefits obtained from using biogas.



Permits cost-benefit calculations associated with investing in biogas producing units.



The data set and dofiles will enable other researchers to replicate the current study and to carry out extended analyses of a sustainable energy initiative.

1. Data

Two survey rounds of the same dairy farm households were conducted in May-June 2011 and May-June 2012 in East Java province, Indonesia. The surveys were conducted in East Java as this province has the bulk of the biogas digesters installed through the Indonesia Domestic Biogas Pro-gramme (BIRU). Prior to carrying out the survey, informed consent was obtained from all survey participants.

2. Experimental Design, Materials and Methods

The sampling frame consists of dairy farmers participating in the cooperatives that are involved as Construction Partner Organization (CPO) in the BIRU programme. Of the 11 CPOs in East Java, 9 were selected for the survey while 2 had too few installed biogas digesters to be included. Sampling of dairy farms was stratified by CPO and by BIRU participation status (users of biogas digesters, appli-cants for a digester and non-appliappli-cants).

Table 1

Number of farmers sampled from the three groups in 2011, by CPO.Source: BIRU project data; Cooperative members’ lists.

CPO Current users Applicants Non-applicants Total

Kan Jabung 8 4 5 17

LPKP 9 23 32 64

Sumber Makmur Ngantang 14 21 29 64

KPUB Sapi Jaya 2 15 21 38

Sami Mandiri 12 14 20 46

Sae Pujon 21 65 87 173

Kud Dadi Jaya 5 13 18 36

Setia Kawan 22 86 119 227

Kud Semen 8 9 13 30

Total 101 250 344 695

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The total sampling pool included 2,086 current users, 497 applicants and 18,321 non-applicants who satisfied basic BIRU eligibility criteria (own at least one productive cow, regularly supply milk to the cooperative and not own a digester through another program). The number of households ran-domly sampled for the survey in 2011 is shown inTable 1- in total 695 households of which 101 bio-digester users, 250 applicants and 344 non-applicants. The distribution of sampled applicants across CPOs was proportional to the relative share of the applicants in each CPO, while the distribution of sampled non-applicants and existing users was proportional to the underlying distribution of the CPO populations.

For the second survey round, in 2012, the same households were interviewed. The attrition rate was 2.6 percent, as 677 out of 695 households were located for follow-up survey. We found no evidence of systematic differences between households in the panel and those who dropped out.

The household questionnaire included modules on a wide-range of socio-economic characteristics, farm characteristics, cooking behavior, energy use, energy related expenses, and a detailed module on bio-gas digesters.

Acknowledgements

We thank staff from Indonesia's Household Biogas Program (BIRU), as well as Gunther Bensch and Rebecca Niemann, for their co-operation in the data collection. The data used in this paper was collected as part of an evaluation commissioned by the Policy and Operations Evaluation Department (IOB) of the Netherlands Ministry of Foreign Affairs. IOB support is gratefully acknowledged.

Transparency document. Supporting information

Supplementary data associated with this article can be found in the online version athttp://dx.doi. org/10.1016/j.dib.2018.02.083.

A.S. Bedi et al. / Data in Brief 17 (2018) 1388–1390 1390

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