The majority of the population in developing countries have limited access to clean energy. <span>To increase access to clean energy, the governments and other stakeholders have been working hard to create enabl...The majority of the population in developing countries have limited access to clean energy. <span>To increase access to clean energy, the governments and other stakeholders have been working hard to create enabling environments for their adoption and utilization. For the household cooking sector, technological innovations such as improved biomass fuels, improved biomass cookstove, solar cooking, biogas and recently bottled gas service have been or are being deployed to scale up clean cooking. </span><span "=""><span>Nevertheless, a good number of the </span><span>innovations intended for upscaling clean cooking in developing countries</span><span> have failed to meet the desired goals due to limited support from the national governments or the international community. Pay-Go is among the recent innovations in the East African region intended for promoting the use of bottled </span><span>gas (liquefied petroleum gas-LPG). This study evaluates the practicality of</span> <span>Pay-Go innovation on bottled gas, popularly known as Pay-as-you-Cook.</span><span> Specifically, the article examines the evolution of Pay-as-you-Cook, its execu</span><span>tion, usefulness and challenges;and its implications on household energy</span><span> sector development. The study was conducted in Kinondoni Municipality, Dar es Salaam, Tanzania between 2018 and 2020. The study used both qualitative </span><span>and quantitative approaches. Purposive and non-random sampling tech</span><span>niques were used in selecting respondents. Purposive sampling was used to identify key informants while snowball sampling was used to find house</span><span>hold respondents. Information was gathered from KopaGas (Pay-as-you-Cook</span><span> innovator) headquarter-Kinondoni Morocco;and from Pay-as-you-Cook clients in Kinondoni Moscow, Mkwajuni and Hananasif. Methods of data collection involved semi-structured interviews and observation. Instruments of data collection included interview guides and observation checklists. Data </span><span>analysis wa展开更多
文摘The majority of the population in developing countries have limited access to clean energy. <span>To increase access to clean energy, the governments and other stakeholders have been working hard to create enabling environments for their adoption and utilization. For the household cooking sector, technological innovations such as improved biomass fuels, improved biomass cookstove, solar cooking, biogas and recently bottled gas service have been or are being deployed to scale up clean cooking. </span><span "=""><span>Nevertheless, a good number of the </span><span>innovations intended for upscaling clean cooking in developing countries</span><span> have failed to meet the desired goals due to limited support from the national governments or the international community. Pay-Go is among the recent innovations in the East African region intended for promoting the use of bottled </span><span>gas (liquefied petroleum gas-LPG). This study evaluates the practicality of</span> <span>Pay-Go innovation on bottled gas, popularly known as Pay-as-you-Cook.</span><span> Specifically, the article examines the evolution of Pay-as-you-Cook, its execu</span><span>tion, usefulness and challenges;and its implications on household energy</span><span> sector development. The study was conducted in Kinondoni Municipality, Dar es Salaam, Tanzania between 2018 and 2020. The study used both qualitative </span><span>and quantitative approaches. Purposive and non-random sampling tech</span><span>niques were used in selecting respondents. Purposive sampling was used to identify key informants while snowball sampling was used to find house</span><span>hold respondents. Information was gathered from KopaGas (Pay-as-you-Cook</span><span> innovator) headquarter-Kinondoni Morocco;and from Pay-as-you-Cook clients in Kinondoni Moscow, Mkwajuni and Hananasif. Methods of data collection involved semi-structured interviews and observation. Instruments of data collection included interview guides and observation checklists. Data </span><span>analysis wa
