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| Srl | Item |
| 1 |
ID:
128459
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| Publication |
2014.
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| Summary/Abstract |
To understand the impact of environmental value, ecological lifestyle, customer innovativeness on customer intention to install solar power system (SPS) in their private houses, an empirical model was proposed. Customer innovativeness was treated as a second-order construct with two first-order dimensions, with each of the latter being measured by means of reflective indicators. Using structural equation modeling, data collected from 203 college students and faculties at a University of Taiwan were tested against the model. We found that environmental value has a positive impact on ecological lifestyle and SPS install intention. Although ecological lifestyle associates positively with SPS install intention, the effect disappears when environmental value is included in the model. The effect of customer innovativeness on SPS install intention results from the tendency of customer novelty seeking, while the impact of customer independent judgment-making on SPS install intention is insignificant. The model explained 76% of the total variations within SPS install intention. Managerial implications for promoting of SPS are considered, and suggestions for further research provided.
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| 2 |
ID:
133038
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| Publication |
2014.
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| Summary/Abstract |
One of the key aspects of developing a regional renewable energy plan involves incorporating national renewable energy targets into provincial targets whilst including interim phase targets and technology targets. This paper proposes a renewable energy model based on national targets 'decomposed' into regional targets that incorporate technological processes and environmental conditions at the individual project level. At the project level, resource potential is allocated into individual projects based on the current technological level. The available resources and renewable energy generation of each project changes as the technology evolves and the environmental conditions change over time. The model can be adjusted according to actual needs of each region; thus policymakers can establish the respective targets for power, heating, oil and gas as well as renewable energy based on the regional context. Overall, the total national target can be decomposed into regional targets and technological targets. This paper proposes long-term regional development targets for renewable energy based on the total supply curve for renewable energy in different periods. Fujian province will be applied as an example to validate the target decomposition model of renewable energy targets of various regions and technologies in China. The model projected that the economic capacity of renewable energy generation in Fujian province for dam hydropower, offshore wind power, onshore wind power, photovoltaic power and waste incineration power is expected to reach 4748 MW, 4036 MW, 3581 MW, 2663 MW and 766 MW, respectively by 2025. The research result could have wider implications such as achieving GHG emissions reductions targets, addressing environmental concerns, providing high tech jobs within the region and contributing to energy security at the local and national level.
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