What are we measuring? An empirical analysis of household electricity access metrics in rural Bangladesh

Groh, Sebastian; Pachauri, Shonali; Rao, Narasimha D.

doi:10.1016/j.esd.2015.10.007

Cited by 68 publications

(38 citation statements)

References 13 publications

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“…In the used access-to-electricity dataset, less high electricity-using products like refrigerators or TVs are found. This was expected as the surveyed households are in areas with lower than average rural access to electricity rates [23]. The normalized data of the access to energy survey fit most of the DHS survey data for low energy consuming appliances (compare Table 4).…”

Section: Household Possession Of Eups Based On the Demographic And Hementioning

confidence: 84%

“…In the used access-to-electricity dataset, less high electricity-using products like refrigerators or TVs are found. This was expected as the surveyed households are in areas with lower than average rural access to electricity rates [23]. The number of lighting points over the type of lighting point found in households using a solar home system (SHS) as a primary source of access to electricity (HH SHS ), households having a connection to the electricity grid (HH g ), and households using a SHS and a connection to the electricity grid (HH SHS+g ).…”

Section: Household Possession Of Eups Based On the Demographic And Hementioning

confidence: 99%

“…Access-to-electricity survey data was gratefully provided for this research by Groh et al [23]. A sample of 231 rural Bangladeshi households was surveyed.…”

Section: Used Dataset: Access-to-electricity Survey In Rural Bangladeshmentioning

confidence: 99%

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Material Implications of Rural Electrification—A Methodological Framework to Assess In-Use Stocks of Off-Grid Solar Products and EEE in Rural Households in Bangladesh

Batteiger

Rotter

2018

Recycling

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"Universal access to electricity" is proclaimed as the seventh sustainable development goal (SDG 7) of the United Nations (UN) Sustainable Development Goals list. The achievement of this goal will result in a rapid diffusion of energy technologies that would in turn increase materials stocks, subsequently increase the raw material demand as well as the arising waste flows. This study describes a methodological framework to assess in-use stocks of off-grid solar products and electrical and electronic equipment (EEE) for rural communities in developing countries. The methodology is based on energy-access data. Furthermore, the specifics of the characteristics of off-grid solar products are discussed. The methodology is applied to rural Bangladesh and its solar home system (SHS) program. By the end of 2016, around 4.1 million SHSs were installed. This type of access to electricity has a significant impact on the in-use stocks, as households add the comparatively heavy SHSs to their in-use stocks. In-use stocks of EEE, in general, are low. Off-grid solar products are lighter than standard EEE, and fewer products types are available. These findings will help to better understand material stocks and future waste flows in the given context and will support the adaption of recycling infrastructures.

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“…In the used access-to-electricity dataset, less high electricity-using products like refrigerators or TVs are found. This was expected as the surveyed households are in areas with lower than average rural access to electricity rates [23]. The normalized data of the access to energy survey fit most of the DHS survey data for low energy consuming appliances (compare Table 4).…”

Section: Household Possession Of Eups Based On the Demographic And Hementioning

confidence: 84%

“…In the used access-to-electricity dataset, less high electricity-using products like refrigerators or TVs are found. This was expected as the surveyed households are in areas with lower than average rural access to electricity rates [23]. The number of lighting points over the type of lighting point found in households using a solar home system (SHS) as a primary source of access to electricity (HH SHS ), households having a connection to the electricity grid (HH g ), and households using a SHS and a connection to the electricity grid (HH SHS+g ).…”

Section: Household Possession Of Eups Based On the Demographic And Hementioning

confidence: 99%

See 1 more Smart Citation

Material Implications of Rural Electrification—A Methodological Framework to Assess In-Use Stocks of Off-Grid Solar Products and EEE in Rural Households in Bangladesh

Batteiger

Rotter

2018

Recycling

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“…2 This is based on IDCOL records of sales of systems of different sizes and is borne out by our PPEO 2016 findings. However, another study of the performance of systems found that between 58% and 80% of SHSs achieved Tier 2 (Groh et al, 2016). 3 There is likely to be some overlap between grid connectivity and SHS ownership which would increase the number of people unelectrified or underelectrified.…”

Section: Notesmentioning

confidence: 99%

Poor People's Energy Outlook 2017

Action¹

2017

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'The energy access sector is in dire need of this kind of empirical analysis. Distributed renewable energy technologies have become a major player in the global energy equation. Yet, the trend to solely rely on grid extension and intensification continues in many parts of the Global South, against better reason. The PPEO 2017 analysis takes this issue head on through a terrific decomposition of the energy for all scenario. ' Dr Sebastian Groh, Managing Director, ME SOLshare Ltd, and Assistant Professor, North South University, Bangladesh 'I appreciate that PPEO 2017 is informed by consumer preferences and needs; not only the functional requirements of energy interventions and technologies, but also by consumers' lifestyles and aspirations. Practical Action's holistic view and its bottom-up approach ensure that the report considers the full range of energy needs and particularly highlight people's pressing desire for clean cooking solutions -something that is weaved into the report as a crucial priority as we all work toward achieving the Sustainable Development Goals and the Paris Agreement. This edition especially notes the importance of consumer affordability and the need to develop the right financial instruments that match the capacities of players along the entire energy access value chain, including consumers themselves. ' Radha Muthiah, CEO, Global Alliance for Clean Cookstoves'PPEO 2017 builds on the bottom-up energy planning approach recommended in the 2016 edition and enables us to see, clearly, that the costs of providing energy access are not prohibitive when recognizing real energy demands. The inclusion of productive use and community service energy demands within this bottom-up approach further differentiates Practical Action's analysis from the 'go to' modelling frameworks that underpin the discussions of global financial needs for access. I hope this PPEO accelerates the dialogue around why change is needed in looking at energy demand from the end user's perspective. This report shows us why the energy planning and global leadership sector needs to move past the business as usual approach, which uses top-down projections of future demand based on history or forecasts of future economic growth. The projections on the level of financing required for desired clean cooking solutions is a clear call to action for prioritization and innovation. Given the consensus on the urgency of delivering energy access, this PPEO must be digested by all who want to be part of the change required to meet SDG 7 goals.' Christine Eibs Singer, Director of Global Advocacy, Power for All, and Special Advisor on Energy Access to SEforAll'We welcome PPEO 2017's analysis of gender and energy finance, and its specific recommendations on financing systems that promote gender equity and options for mainstreaming gender in financing mechanisms. We must continue to advocate for the critical role for women and women's organizations in bottom-up energy access planning processes and in influencing the policy, regulatory an...

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“…Groh et al (2015) [49] 231 samples in rural Bangladesh (2), (4) (3) 2014 Energy access measurement is highly sensitive to changes in parameter values. Zhou et al (2015) [50] China (1), (2), (3), (8), (9) (1), (3) 1990-2012…”

Section: Social Factorsmentioning

confidence: 99%

Factors Influencing the Spatial Difference in Household Energy Consumption in China

Ding

Niu

et al. 2016

Sustainability

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Abstract:What factors determine the spatial heterogeneity of household energy consumption (HEC) in China? Can the impacts of these factors be quantified? What are the trends and characteristics of the spatial differences? To date, these issues are still unclear. Based on the STIRPAT model and panel dataset for 30 provinces in China over the period 1997-2013, this paper investigated influences of the income per capita, urbanization level and annual average temperature on HEC, and revealed the spatial effects of these influencing factors. The results show that the income level is the main influencing factor, followed by the annual average temperature. There exists a diminishing marginal contribution with increasing income. The influence of urbanization level varies according to income level. In addition, from the eastern region to western region of China, variances largely depend upon economic level at the provincial level. From the northern region to southern region, change is mainly caused by temperature. The urbanization level has more significant impact on the structure and efficiency of household energy consumption than on its quantity. These results could provide reference for policy making and energy planning.

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What are we measuring? An empirical analysis of household electricity access metrics in rural Bangladesh

Cited by 68 publications

References 13 publications

Material Implications of Rural Electrification—A Methodological Framework to Assess In-Use Stocks of Off-Grid Solar Products and EEE in Rural Households in Bangladesh

Material Implications of Rural Electrification—A Methodological Framework to Assess In-Use Stocks of Off-Grid Solar Products and EEE in Rural Households in Bangladesh

Poor People's Energy Outlook 2017

Factors Influencing the Spatial Difference in Household Energy Consumption in China

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