UK Data Service data catalogue record for:
|Title:||Local impacts of biofuel crop production and factors influencing ethanol stove adoption in southern Africa|
|Depositor:||Alexandros Gasparatos, University of Tokyo|
Alexandros Gasparatos, University of Tokyo
Carla Romeu-Dalmau, University of Oxford
Graham von Maltitz, Council for Scientific and Industrial Research (CSIR)
Francis Johnson, Stockholm Environment Institute (SEI)
Charles Jumbe, Lilongwe University of Agriculture & Natural Resources
Caroline Ochieng, Stockholm Environment Institute (SEI)
Shakespear Mudombi, Council for Scientific and Industrial Research (CSIR)
Katherine Willis, University of Oxford
Natural Environment Research Council
Economic and Social Research Council
Department for International Development
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Abstract copyright data collection owner.The datasets contain information about the local impacts of biofuel feedstock production and the factors influencing the adoption and/or sustained use of biofuel stoves in southern Africa. To elicit the impacts of feedstock production we undertook extensive household surveys around four operational jatropha and sugarcane production sites in Malawi, Mozambique, and Swaziland. The selected sites reflect the most prominent feedstocks (i.e. jatropha, sugarcane) and modes of existing or intended biofuel feedstock production in Africa. We focused on impacts related to rural livelihoods, ecosystem services, food security and poverty alleviation. To capture the factors that influence the adoption and sustained use of biofuel stoves we focused on the sole large-scale ethanol stove dissemination programme in Africa, in Maputo city.
The aim of this interdisciplinary project is to provide clear empirical evidence on whether, and how, biofuel production and use can improve human wellbeing and become an agent of poverty alleviation in African least developed countries (LDCs). Understanding the environmental impact of biofuel production is a pre-requisite for understanding the true human wellbeing and poverty alleviation effects of biofuel expansion in Africa. In order to answer these questions we conducted five case studies in Malawi, Mozambique and Swaziland. Between them these case studies reflect the main modes of biofuel production and use encountered across southern Africa. The comparative analysis of their performance provides important insights for the poverty alleviation potential of these diverse biofuel strategies in Africa least developed countries.
|Dates of fieldwork:||01 July 2014 - 31 May 2015|
|Country:||Malawi | Swaziland | Mozambique|
No spatial unit
Families and households
|Kind of data:||
|Method of data collection:||
We undertook a structured household survey to assess the local impact of biofuel feedstock production on livelihoods, ecosystem services, food security and poverty alleviation.
This survey was undertaken in four feedstock production sites in Malawi, Mozambique and Swaziland. The selected project sites included:
- a hybrid sugarcane project that contains a large sugarcane plantation surrounded by sugarcane smallholders (both rainfed and irrigated) in Dwangwa, Malawi;
- a site that contains a large-scale sugarcane plantation and several smaller community-owned plantations in Tshaneni, Swaziland;
- a smallholder-based jatropha project in Mangochi, Malawi;
- a large jatropha plantation in Buzi, Mozambique.
We targeted households with different involvement in feedstock production such as plantation workers and feedstock smallholders (intervention groups) and households not involved (control groups).
The household survey included both close-ended and open-ended questions. It contained generic questions to elicit household demographics, livelihood options, agro-economic practices, reliance on ecosystem services and energy access/use patterns. The household survey also contained questions that could be used to calculate indices such as the multi-dimensional poverty index (MPI), a composite measure of poverty.
We undertook purposeful sampling. In particular we sampled intervention groups that were involved in feedstock production (i.e. households with plantation workers or feedstock smallholders) and control groups that were not involved in feedstock production (i.e. households that did not contain plantation workers or feedstock smallholders).
In each site we sampled different intervention and control groups to represent the unique characteristic of each area and feedstock production mode. Sampling procedures different by group and are explained more extensively in the uploaded material. In total we sampled 1544 households across all sites.
In study sites that contain large plantations (i.e. Dwangwa-Malawi, Buzi-Mozambique, Tshaneni-Swaziland) we sampled two control groups, a control group in the vicinity of the plantation and a control group in areas further away that shared similar characteristics (see below). We employed this approach to establish whether living in the proximity of plantations had any positive or negative spillover effects, such as benefits from infrastructure (e.g. roads, clinics, secondary job creation) or disadvantages from the loss of agricultural land and natural areas.
To identify the factors that influence the adoption and sustained use of ethanol stoves we undertook a structured household survey in Maputo city. The questionnaire contained mainly perception questions, but also some key demographic and socioeconomic variables.
The vast majority of the questions in this household survey were closed-ended questions that were coded appropriately. We focused on areas of Maputo city that experienced substantial promotion of ethanol stoves, and targeted both households that used ethanol and charcoal as the main cooking option.
In total 341 households were surveyed from different neighborhoods. Of these, 58 households (17%) had adopted and sustained ethanol use, 42 households (12%) had adopted but discontinued ethanol use and 241 households (71%) never adopted ethanol stoves. The specific study areas within Maputo were selected as they had experienced an extensive adoption of ethanol stoves, as identified through expert interviews with management of NDziLO Company that spearheaded the adoption campaigns. Additionally these areas were also chosen so as to represent households of the predominant socio-economic background in Maputo city.
Through this purposeful sampling we tried to capture the factors influencing the adoption and sustained use of ethanol stoves when considering the other prevailing cooking options, rather than provide a baseline study of cooking fuel preferences across the city. Adopters in these areas were randomly sampled through sales records of NDziLO and non-adopters were selected as the neighbours of adopters (see below).
|Date of release:|
|First edition:||23 May 2018|
|Latest edition:||23 May 2018 (minor amendments only)|
|Copyright:||Charles Jumbe, Lilongwe University of Agriculture & Natural Resources|
|Access conditions:||The Data Collection is available for download to users registered with the UK Data Service.|
|Availability:||UK Data Service|
|Contact:||Alexandros Gasparatos, University of Tokyo|