2013
DOI: 10.1016/j.apenergy.2012.09.063
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How sustainable is bioenergy production in the Philippines? A conjoint analysis of knowledge and opinions of people with different typologies

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Cited by 16 publications
(2 citation statements)
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“…Finally, in responding to recent calls to classify or segment energy end-customers in a manner that goes beyond the identification of basic attitudinal trends [20], an analytical novelty of this research is the application of a two-step cluster analysis described in Hair et al [102]. This data-driven post-hoc segmentation technique that has recently informed our understanding of attitudes to bioenergy production [103], community financing of renewable energy projects [104], and energy-user behaviour at the household level [105], and incorporates the principles of hierarchical and partitioning clustering methods to identify distinct sample profiles that were not known a-priori. In light of our interest in providing broader conclusions on whether islanders are in favour or against sustainable energy transitions, this explorative data-driven technique took into account responses to all of our question units to help arrive at an overall judgement of the sample population.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, in responding to recent calls to classify or segment energy end-customers in a manner that goes beyond the identification of basic attitudinal trends [20], an analytical novelty of this research is the application of a two-step cluster analysis described in Hair et al [102]. This data-driven post-hoc segmentation technique that has recently informed our understanding of attitudes to bioenergy production [103], community financing of renewable energy projects [104], and energy-user behaviour at the household level [105], and incorporates the principles of hierarchical and partitioning clustering methods to identify distinct sample profiles that were not known a-priori. In light of our interest in providing broader conclusions on whether islanders are in favour or against sustainable energy transitions, this explorative data-driven technique took into account responses to all of our question units to help arrive at an overall judgement of the sample population.…”
Section: Methodsmentioning
confidence: 99%
“…For example, in the United States, electricity generation contributed 28.4% of the GHG emissions in 2016, only slightly behind the transportation sector's contribution of 28.5% [3]. Because generating electricity from renewable sources such as solar, wind, and biomass is much more environmentally sound than from coal and other fossil fuels, and because it can significantly reduce GHG emissions, increasing the share of electricity from renewable sources is a major goal of the energy plans in many regions [4][5][6]. For example, the 2011 Vermont Comprehensive Energy Plan (CEP) sets out a pathway for Vermont to obtain 75% of its electricity from renewable sources by 2032 and enacted Act 45 to use alternative policy measurements, including grants and subsidies, to support renewable energy projects [6].…”
Section: Introductionmentioning
confidence: 99%