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ASEAN Biomass Energy a Thai Environmental Impact Analysis by use of a Structural Equation Model (SEM)

机译:东盟生物质能利用结构方程模型(SEM)进行泰国环境影响分析

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Thailand?s economic growth is in many respects determined by power generation with the demand for electricity moving hand-in-hand with rapidly expanding economic growth. With the doubling of Thailand?s population since the 1960s, the necessity for rural electricity coverage has also increased dramatically. This however is at times difficult and expensive to achieve in these remote rural locations with their sparsely populated areas. However, power must be available nationwide and when areas are not appropriate for a large-scale power plant investment, smaller and less expensive local power plants need to be chosen. In these rural cases, biomass power plants can be considered as one alternative. Since, Thailand outside the main metropolitan areas is still mostly rural and agricultural, there is a ready source of raw material for biomass power plant conversion. The purpose of this research therefore was to determine the environmental impact of certain variables on the environmental impact on the local community. This study concerns the modeling and analysis of Thailand?s biomass power industry using both quantitative and qualitative research methods. Quantitative data was obtained using stratified sampling from 323 biomass power community members and qualitative data from in-depth research of 10 community leaders using simple random sampling while using Partial Least Square (PLS-Graph) software to apply Structural Equations Modeling (SEM) analysis. Results showed from the hypotheses that government policy and community participation had a significant and direct contribution on the overall environmental impact of the local community.
机译:泰国的经济增长在许多方面都取决于发电,而电力需求与快速增长的经济增长息息相关。自1960年代以来泰国人口翻了一番,农村电力覆盖的必要性也急剧增加。然而,在这些人口稀少的偏远农村地区,有时要实现这一目标既困难又昂贵。但是,电力必须在全国范围内可用,并且当区域不适合大型电厂投资时,则需要选择较小且较便宜的本地电厂。在这些农村情况下,可以考虑将生物质发电厂作为一种替代方案。由于主要大都市区以外的泰国仍然大部分是农村和农业地区,因此有现成的生物质电厂转换原料。因此,本研究的目的是确定某些变量对环境对当地社区的环境影响。这项研究涉及使用定量和定性研究方法对泰国生物质能发电行业进行建模和分析。使用323个生物质能发电社区成员的分层抽样获得定量数据,并使用简单的随机抽样,同时使用偏最小二乘(PLS-Graph)软件应用结构方程建模(SEM)分析,对10个社区领导者的深入研究获得了定性数据。结果表明,政府的政策和社区参与对当地社区的整体环境影响具有重大而直接的贡献。

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