Abstract
Using data from the nearly 6000 households in the Nepal Living Standards Survey of 2010–11 we find that the mean reduction in household firewood collection associated with use of a biogas plant for cooking is about 1100 kg/year from a mean of \(\sim \)2400 kg/year. This estimate is derived comparing only households with and without biogas in the same village, thus effectively removing the influence of many potential confounders. Further controls for important determinants of firewood collection, such as household size, per capita consumption expenditure, cattle ownership, unemployment etc. are used to identify the effect of biogas adoption on firewood collection. We derive bounds on omitted variable bias using the proportional selection assumption. Our central estimate is much smaller than those in the previous literature, but is still large enough for the cost of adopting biogas to be heavily subsidized via carbon offsets at a modest carbon price of $10/tCO\(_2\)e, when using central estimates of emission factors and global warming potentials of pollutants taken from the scientific literature.
Similar content being viewed by others
Notes
Meaning the percentage of energy in the fuel that is transferred to the food being cooked. See below.
Such conclusions generally do not consider the animal raising decision. Households are typically assumed to have the same number of large dung-producing animals with or without adopting biogas. Biogas plants then allow the dung from those animals to be used.
A bhari is a load of firewood, the amount one person usually carries on one trip. Very few households collected firewood using carts and the appropriate conversion factor was used in those cases.
The current exchange rate is approximately 100 Nepali rupees per US dollar.
Mean firewood collection for households whose primary source of cooking fuel is firewood is about 2400 kg/year.
For example, the presence of a sick person who needs more firewood for heating. We control for presence of a chronically ill person in Model 2.
We discuss in the next section the adjustments to our estimate that would be necessary when we take into account the possibilities that (a) some biogas users would substitute biogas for cylinder gas rather than firewood, and (b) some new adopters of biogas may be induced to hold more cattle than they would have done if there were no increase in the biogas subsidy.
Baland et al. (2010) use a conversion factor of 35 kg/bhari for the 2003 round of the NLSS.
Firewood used for cooking is in principle carbon neutral if equivalent trees are replanted or allowed to grow. This is how the term “sustainable” is used in this context.
See http://www.ashden.org/files/BSP%20case%20study%20full.pdf. Accessed January 29, 2015.
See http://calcarbondash.org/ and http://www.edf.org/california-cap-and-trade-updates. Accessed January 29, 2015.
The uncertainty arises largely from uncertainty in aerosol-cloud interactions.
References
Altonji Joseph G, Elder Todd E, Taber Christopher R (2005) Selection on observed and unobserved variables: assessing the effectiveness of Catholic schools. J Political Econ 113(1):151
Baland Jean-Marie, Bardhan Pranab, Das Sanghamitra, Mookherjee Dilip, Sarkar Rinki (2010) The environmental impact of poverty: evidence from firewood collection in rural Nepal. Econ Dev Cult Change 59(1):23–61
Barnes DF, Khandker SR, Samad HA (2011) Energy poverty in rural Bangladesh. Energy Policy 39(2):894–904
Bluffstone R, Robinson E, Guthiga P (2013) REDD+ and community-controlled forests in low-income countries: any hope for a linkage. Ecol Econ 87:43–52
Bond Tami C, Doherty Sarah J, Fahey DW, Forster PM, Berntsen T, DeAngelo BJ, Flanner MG et al (2013) Bounding the role of black carbon in the climate system: a scientific assessment. J Geophys Res atmos 118(11):5380–5552
Campbell BM, Vermeulen SJ, Mangono JJ, Mabugu R (2003) The energy transition in action: urban domestic fuel choices in a changing Zimbabwe. Energy Policy 31(6):553–562
Christiansen L, Heltberg R (2014) Greening China’s rural energy: new insights on the potential of smallholder biogas. Environ Dev Econ 19:8–29. doi:10.1017/S1355770X13000375
Cooke Priscilla, Kohlin Gunnar, Hyde William F (2008) Fuelwood, forests and community management-evidence from household studies. Environ Dev Econ 13(1):103
Davis M (1998) Rural household energy consumption: the effects of access to electricity—evidence from South Africa. Energy Policy 26(3):207–217
Ekouevi K, Tuntivate V (2012) Household energy access for cooking and heating: lessons learned and the way forward, World Bank studies. The World Bank, Washington, D.C
Grieshop Andrew P, Marshall Julian D, Kandlikar Milind (2011) Health and climate benefits of cookstove replacement options. Energy Policy 39(12):7530–7542
Heltberg R (2005) Factors determining household fuel choice in Guatemala. Environ Dev Econ 10(3):337–361
Heltberg R (2004) Fuel switching: evidence from eight developing countries. Energy Econ 26(5):869–887
IPCC (2013) Climate change 2013: the physical basis summary for policymakers, Working Group 1 Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva
Jeuland MA, Pattanayak SK (2012) Benefits and costs of improved cookstoves: assessing the implications of variability in health, forest and climate impacts. Plos One 7(2):1–15
Johnson Michael, Edwards Rufus, Frenk Claudio Alatorre, Masera Omar (2008) In-field greenhouse gas emissions from cookstoves in rural Mexican households. Atmos Environ 42(6):1206–1222
Katuwal H, Bohara AK (2009) Biogas: a promising renewable technology and its impact on rural households in Nepal. Renew Sustain Energy Rev 13(9):2668–2674
Krauth B(2011) Bounding a linear causal effect using relative correlation restrictions. Simon Fraser University. http://summit.sfu.ca/item/10925
Leach G (1992) The energy transition. Energy Policy 20(2):116
Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, AlMazroa MA et al (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380(9859):2224–2260. doi:10.1016/S0140-6736(12)61766-8
MacCarty N, Ogle D, Still D, Bond T, Roden C (2008) A laboratory comparison of the global warming impact of five major types of biomass cooking stoves. Energy Sustain Dev 12:5–14
Masera O, Edwards R, Arnez CA, Berrueta V, Johnson M, Bracho LR, Riojas-RodrÌguez H, Smith KR (2007) Impact of Patsari improved cookstoves on indoor air quality in Michoac\(\cdot \)n, Mexico. Energy Sustain Dev 11:45–56
Nepal Mani, Nepal Apsara, Grimsrud Kristine (2011) Unbelievable but improved cookstoves are not helpful in reducing firewood demand in Nepal. Environ Dev Econ 16(01):1–23. doi:10.1017/S1355770X10000409
Oster E (2013) Unobservable selection and coefficient stability: theory and validation. National Bureau of Economic Research. http://www.nber.org/papers/w19054
Pandey Apoorva, Sadavarte Pankaj, Rao Anand B, Venkataraman Chandra (2014) Trends in multi-pollutant emissions from a technology-linked inventory for India: II. residential, agricultural and informal industry sectors. Atmos Environ 99:341–352
Saatchi S, Harris M, Brown S, Lefsky M, Mitchard E, Salas W, Zutta B, Buermann W, Lewis S, Hagen S, Petrova S, White L, Silman M, Morel A (2011) Benchmark map of carbon forest carbon stocks in tropical regions across three continents. Proc Nat Acad Sci 108(24):9899–9904
Smith KR, Uma R, Kishore VVN, Zhang J, Joshi V, Khalil MAK (2000) Greenhouse implications of household stoves: an analysis for India. Ann Rev Energy Environ 25:741–763
Thakuri MBM (2009) Revising the need of improved stoves: estimating health, time and carbon benefits. SANDEE Working Paper No. 44-09. Kathmandu
UNDP (2005) Energizing the millennium development goals: a guide to energy’s role in reducing poverty. UNDP, New York
UNDP and WHO (2009) The energy access situation in developing countries: a review focusing on the least developed countries and Sub-Saharan Africa. UNDP, New York
UNEP and WMO (2011) Integrated assessment of black carbon and tropospheric ozone: summary for decision makers. UNEP and WMO, Nairobi
UNIDO (2009) Scaling up renewable energy in Africa. 12th Ordinary Session of Heads of State and Governments of the African Union, Addis Ababa, Ethiopia. Vienna: United Nations Industrial Development Organisation (UNIDO)
van der Werf GR, Morton DC, DeFries RS, Olivier JGJ, Kasibhatla PS, Jackson RB, Collatz GJ, Randerson JT (2009) \({\rm CO}_{2}\) emissions from forest loss. Nat Geosci 2:737–738
WHO (2006) Fuel for life: household energy and health. WHO, Geneva
Zhang J, Smith KR, Ma Y, Ye S, Jiang F, Qi W, Liu P, Khalil MAK, Rasmussen RA, Thorneloe SA (2000) Greenhouse gases and other airborne pollutants from household stoves in China: a database for emission factors. Atmos Environ 34(26):4537–4549
Author information
Authors and Affiliations
Corresponding author
Additional information
Financial support for this research was provided by the World Bank. We thank an anonymous referee, Mike Toman, and seminar participants at the REDD workshops in Dhulikhel and Kathmandu for comments, Animesh Kumar and Swagatam Sinha for research assistance, and Milind Kandlikar and Chandra Venkataraman for pointers to the scientific literature.
Appendix
Appendix
See Table 4.
Rights and permissions
About this article
Cite this article
Somanathan, E., Bluffstone, R. Biogas: Clean Energy Access with Low-Cost Mitigation of Climate Change. Environ Resource Econ 62, 265–277 (2015). https://doi.org/10.1007/s10640-015-9961-6
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10640-015-9961-6