Fuel demand elasticities for energy and environmental policies: Indian sample survey evidence

By H. Gundimeda, G. Kohlin. 2008

152 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Pollution, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/0472619321d989165566bfaf92b4fbd7f2c97942

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Volker Krey
2. G. Timilsina
3. Keywan Riahi
4. Sunil Malla
5. S. Pachauri
6. Tommi Ekholm
7. S. Démurger
8. G. Kohlin

In Pollution

1. G. Timilsina
2. Sunil Malla
3. Keywan Riahi
4. G. Kohlin
5. Volker Krey
6. Tommi Ekholm
7. A. Mekonnen
8. S. Pachauri

In Renewable Energy, Sustainability and the Environment

1. G. Timilsina
2. Volker Krey
3. Keywan Riahi
4. Sunil Malla
5. Tommi Ekholm
6. G. Kohlin
7. S. Pachauri
8. A. Mekonnen

Citations in the corpus

• Poverty and firewood consumption : A case study of rural households in northern China (2011, background): “…(Arnold et al. , 2006), the estimation of Engel curves and agricultural households’ models (Amacher et al. , 1993; 1996; 1999; Baland et al. , 2010; Gundimeda & Köhlin, 2008; Heltberg et al. , 2000; Mekonnen, 1999), and village computable general equilibrium (CGE) models (Shi et al. , 2009).”
• Who Adopts Improved Fuels and Cookstoves? A Systematic Review (2012, background): “…by describing clean fuel choice as a movement “up the energy ladder,” we do not mean to imply that households use cleaner fuels exclusively (Farsi et al. 2007; Gundimeda and Köhlin 2008; Pine et al. 2011), but rather that they start to use at least some “cleaner” fuel (Masera et al. 2000).”
• Fuel Stacking in India: Changes in the Cooking and Lighting Mix, 1987-2010 (2014, unknown): “several studies indicate that nationally representative studies remain rare [24], and available ones [7,22] largely focus on crosssectional survey in a single year.”
• Household cooking fuel choice and adoption of improved cookstoves in developing countries : a review (2014, background): “Analyzing household cooking fuel choice in Kolkata, India, Gupta and Köhlin (2006) find that subsidies are less effective to reduce polluting fuels, such as coal and fuelwood, due to weak cross-price elasticities. Empirical evidence suggests that high use of ICS cannot be assumed even when stoves ar”
• Demand for cooking fuels in a developing country: To what extent do taste and preferences matter? (2011, methodology): “Although this analysis is based on cross-sectional data, it confirms that households’ most preferred energy (i.e., LPG) is the fuel found by most earlier studies to be on the top of the “fuel ladder” (see, e.g., Gundimeda and Kohlin, 2008; Arnold et al., 2003).”
• Fuelwood, forests and community management – evidence from household studies (2008, background): “More specifically, Gundimeda and Köhlin (2006) show that for rural India expenditure elasticities of demand for fuelwood are above 1 until expenditures increase above 750 Rs per month, while rural average monthly expenditures are Rs 500.”
• Determinants of Household Energy Consumption in India (2010, methodology): “Gundimeda and Köhlin (2008) also reported that the Hicksian (compensated) own-price elasticities estimated from the NSSO data for different fuels were generally between �0.1 and �0.7.”
• Urban energy transition and technology adoption: the case of Tigrai, northern Ethiopia. (2012, background): “Gundimeda and Köhlin (2008) found that diversity of life styles and opportunity costs of time, as explained by various employment categories, mean different fuel choices.”