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1. Evaluation of the preference for and viability of clean cookstove adoption in rural Tanzania

   https://doi.org/10.1186/s13705-023-00422-3  

   Gill-Wiehl, Annelise ; Sievers, Sara ; Katikiro, Robert ; Kammen, Daniel M. ( November 2023 , Energy, Sustainability and Society)

   Sustainable Development Goal (SDG) 7 calls for “universal access to affordable, reliable, modern energy services” for the 2.6 billion individuals lacking access to clean cooking fuels and stoves. Low- and middle-income countries are designing policies towards clean fuels, but often prioritize World Health Organization defined ‘clean’ fuels and stoves to urban areas. As clean solutions are explored, it remains unclear what rural households prefer as their clean alternative.

   This study conducted household energy surveys with main cooks across four villages in Shirati, Tanzania to understand rural household preferences within the viable clean fuels. Data analysis includes descriptive statistics and a generalized linear model with the Poisson family and log link to estimate prevalence ratios, all of which were conducted in Microsoft Excel and STATA 16.1.

   The results revealed that while 83% of households (n = 187) stacked a combination of firewood, charcoal, liquified petroleum gas (LPG), and/or kerosene, 82% [95% Confidence Interval: 74%, 89%] of households stated a preference to use LPG. We found that aggregate expenditure on LPG was less than daily purchases of charcoal and firewood. Our analysis found that all villages had a higher prevalence of stacking firewood, charcoal, and LPG, than areas further from the main trading center. Both areas with trading posts had a lower prevalence of using only firewood.

   Household preference should be systematically incorporated into clean cooking policy decisions. Our results imply that LPG should not be pursued only in urban contexts. We discuss how preference affect adoption and the need to include user preferences to meet universal clean cooking access (SDG 7).

    

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2. Health impacts of a randomized biomass cookstove intervention in northern Ghana

   https://doi.org/10.1186/s12889-021-12164-y  

   Abdo, Mona ; Kanyomse, Ernest ; Alirigia, Rex ; Coffey, Evan R. ; Piedrahita, Ricardo ; Diaz-Sanchez, David ; Hagar, Yolanda ; Naumenko, Daniel J. ; Wiedinmyer, Christine ; Hannigan, Michael P. ; et al ( December 2021 , BMC Public Health)

   Household air pollution (HAP) from cooking with solid fuels has adverse health effects. REACCTING (Research on Emissions, Air quality, Climate, and Cooking Technologies in Northern Ghana) was a randomized cookstove intervention study that aimed to determine the effects of two types of “improved” biomass cookstoves on health using self-reported health symptoms and biomarkers of systemic inflammation from dried blood spots for female adult cooks and children, and anthropometric growth measures for children only.

   Two hundred rural households were randomized into four different cookstove groups. Surveys and health measurements were conducted at four time points over a two-year period. Chi-square tests were conducted to determine differences in self-reported health outcomes. Linear mixed models were used to assess the effect of the stoves on inflammation biomarkers in adults and children, and to assess the z-score deviance for the anthropometric data for children.

   We find some evidence that two biomarkers of oxidative stress and inflammation, serum amyloid A and C-reactive protein, decreased among adult primary cooks in the intervention groups relative to the control group. We do not find detectable impacts for any of the anthropometry variables or self-reported health.

   Overall, we conclude that the REACCTING intervention did not substantially improve the health outcomes examined here, likely due to continued use of traditional stoves, lack of evidence of particulate matter emissions reductions from “improved” stoves, and mixed results for HAP exposure reductions.

   ClinicalTrials.gov(National Institutes of Health); Trial Registration Number:NCT04633135; Date of Registration: 11 November 2020 – Retrospectively registered.

   URL:https://clinicaltrials.gov/ct2/show/NCT04633135?term=NCT04633135&draw=2&rank=1

    

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3. Socially-differentiated urban metabolism methodology informs equity in coupled carbon-air pollution mitigation strategies: insights from three Indian cities

   https://doi.org/10.1088/1748-9326/ac881e  

   Nagpure, Ajay Singh ; Tong, Kangkang ; Ramaswami, Anu ( September 2022 , Environmental Research Letters)

   A differentiated urban metabolism methodology is developed to quantify inequality and inform social equity in urban infrastructure strategies aimed at mitigating local in-boundary PM2.5 and co-beneficially reducing transboundary greenhouse gas (GHG) emissions. The method differentiates community-wide local PM2.5 and transboundary GHG emission contributions by households of different income strata, alongside commercial and industrial activities. Applied in three Indian cities (Delhi, Coimbatore, and Rajkot) through development of new data sets, method yields key insights that across all three cities, top-20% highest-income households dominated motorized transportation, electricity, and construction activities, while poorest-20% homes dominated biomass and kerosene use, resulting in the top-20% households contributing more than three times GHGs as the bottom-20% homes. Further, after including commercial and industrial users, top-20% households contributed as much or more in-boundary PM2.5 emissions thanallcommercial ORallindustrial emitters (e.g. Delhi’s top-20% homes contributed 21% of in-boundary PM2.5 similar to industries at 21%. These results enabled co-benefit analysis of various infrastructure transition strategies on the horizon, finding only three could yield both significant GHG and PM2.5 reductions (>2%-each): (a) Modest 10% efficiency improvements among top-20% households, industry and commercial sectors, requiring a focus on wealthiest homes; (b) Phasing out all biomass and kerosene use within cities (impacting poorest); (c) Replacing gas and diesel vehicles with renewable electric vehicles. The differentiated PM2.5 and GHG emissions data-informed social equity in the design of the three co-beneficial infrastructure transitions by: (a)-prioritizing free/subsidized clean cooking fuels to poorest homes; (b)-increasing electricity block rates and behavioral nudging for wealthiest homes; and, (c)-prioritizing electrification of mass transit and promoting electric two-wheelers ahead of providing subsidies for electric cars, where the free-rider phenomenon can occur, which benefits wealthiest homes. The methodology is broadly translatable to cities worldwide, while the policy insights are relevant to rapidly urbanizing Asia and Africa to advance clean, low-carbon urban infrastructure transitions.

    

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4. Scaling up gas and electric cooking in low- and middle-income countries: climate threat or mitigation strategy with co-benefits?

   https://doi.org/10.1088/1748-9326/acb501  

   Floess, Emily ; Grieshop, Andrew ; Puzzolo, Elisa ; Pope, Dan ; Leach, Nicholas ; Smith, Christopher J. ; Gill-Wiehl, Annelise ; Landesman, Katherine ; Bailis, Rob ( February 2023 , Environmental Research Letters)

   Nearly three billion people in low- and middle-income countries (LMICs) rely on polluting fuels, resulting in millions of avoidable deaths annually. Polluting fuels also emit short-lived climate forcers (SLCFs) and greenhouse gases (GHGs). Liquefied petroleum gas (LPG) and grid-based electricity are scalable alternatives to polluting fuels but have raised climate and health concerns. Here, we compare emissions and climate impacts of a business-as-usual household cooking fuel trajectory to four large-scale transitions to gas and/or grid electricity in 77 LMICs. We account for upstream and end-use emissions from gas and electric cooking, assuming electrical grids evolve according to the 2022 World Energy Outlook’s ‘Stated Policies’ Scenario. We input the emissions into a reduced-complexity climate model to estimate radiative forcing and temperature changes associated with each scenario. We find full transitions to LPG and/or electricity decrease emissions from both well-mixed GHG and SLCFs, resulting in a roughly 5 millikelvin global temperature reduction by 2040. Transitions to LPG and/or electricity also reduce annual emissions of PM_2.5by over 6 Mt (99%) by 2040, which would substantially lower health risks from household air pollution. Full transitions to LPG or grid electricity in LMICs improve climate impacts over BAU trajectories.

    

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5. An agent-based modeling approach for adoption of clean technologies using theory of planned behavior based decision making

   Pakravan, Mohammad ; MacCarty, Nordica ( January 2019 , Proceedings of the ASME Design Engineering Technical Conferences)

   Technology adoption in low-income regions is among the key challenges facing nternational development projects. Nearly 40% of the world’s population relies on open ires and rudimentary cooking devices exacerbating health outcomes, deforestation, and climatic impacts of inefficient biomass burning. Clean technology alternatives such as clean cookstoves are among the most challenging technologies to approach their target goals through sustainable adoption due to lack of systematic market-driven design for adoption. Thus, a method is needed to provide insight regarding how target customers evaluate and perceive causes for adopting a clean technology. The holistic approach of this study captures the three main aspects of technology adoption through lenses of social networks, individual and society scale beliefs, and rational decision-making behavior. Based on data collected in the Apac region in Northern Uganda, an Agent-Based Model is developed to simulate emerging adoption behavior in a community. Then, four different scenarios investigate how adoption patterns change due to potential changes in technology or intervention strategy. These scenarios include influence of stove malfunctions, price elasticity, information campaigns, and strength of social network. Results suggest that higher adoption rates are achievable if designed technologies are more durable, information campaigns provide realistic expectations for users, policy makers and education programs work toward women’s empowerment, and communal social ties are recognized for influence maximization. Application of this study provides insight for technology designers, project implementers, and policy makers to update their practices for achieving sustainable and to the scale clean technology adoption rates. 

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