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| 1 |
ID:
117005
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| Publication |
2012.
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| Summary/Abstract |
Since standard vehicles are powered by internal combustion mechanisms that rely on fossil fuels, electric vehicles that are propelled by one or more electric engines have been proposed as an alternative to promote sustainable personal transportation. In this paper we propose a general demand model for vehicle purchases at the individual level assuming that the necessary microdata is available. We then list the ideal microdata that would be needed for estimating this general demand model. For elaborating this list, we take into account the particularities of low emission vehicles, with emphasis in their cost-reliability-environmental benefits tradeoff, as well as the potentiality for evaluation of welfare improving policies related to adoption of energy-efficient technologies. We discuss data sources and collection strategies for the different attributes of the model, especially for those characteristics that are nonstandard such as symbolic values. For instance, we discuss the role of range anxiety as a barrier of adoption of electric vehicles, and the implied relevance of including driving range to get consumers' willingness to pay for better performing electric batteries.
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| 2 |
ID:
114302
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| Publication |
2012.
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| Summary/Abstract |
This paper analyses the willingness to pay for electricity generated from renewable energy sources in Slovenia. The results confirm that age, household income, education and environmental awareness play the most important role in explaining household attitudes to green electricity programmes. While the willingness to participate in green electricity programmes is influenced by education and environmental awareness, the willingness to pay for green electricity predominantly depends on household income. The results imply that green marketing should be accompanied by awareness-raising campaigns and should target younger, well-educated and high-income households. The expressed median willingness to pay is found to exceed the current level of mandatory charges for green electricity. Nevertheless, recent increases in final electricity prices might have already exhausted the capacity for additional voluntary contributions.
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| 3 |
ID:
120081
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| Publication |
2012.
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| Summary/Abstract |
The study presents an early warning system for predicting banking fragility in India. Using the index method, distress episodes in the banking system are identified during 1994-2007. On the basis of standard tools of probit regression models, the results indicate growing interlinkages of economic liberalization with the Indian banking sector. Slowdown in real output, increase in headline inflation rate, increase in spread between the central bank policy rate and short-term risk-free rate, increase in proportion of broad money supply to foreign exchange reserves, REER overvaluation from trend and decrease in proportion of trade balance to GDP enhance the probability of banking fragility in India. The behaviour of the identified crucial indicators, cross-checked by the signal extraction approach, reveals adequate signalling power due to their low Noise-to-Signal Ratio. The estimated 'lead time' of the indicator variables in signalling banking distress also offers a modest time period to the government to initiate pre-emptive policy action to strengthen the banks.
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