土耳其零废弃物管理行为调查

Author Bahar, Ikizoglu Bahar, Ikizoglu Dr
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摘要

人口增长、工业化和技术进步大大增加了废物的产生量,废物的收集、运输和处理也带来了巨大的成本。废物可被视为一种资源,使各国能够减少初级原材料的消耗,保护自然资源,并通过减轻环境压力来提高经济收入。可持续废物管理的零废物方法已在全球范围内得到批准和实施。本研究旨在调查土耳其零废弃物管理的基本情况。因此,我们编制了一个包含八个项目的量表,并对量表的有效性和可靠性进行了分析。首先应用了解释性因子分析(EFA)。然后,通过确认性因子分析(CFA)检验了模型的适宜性。计算得出的 Cronbach's α(内部一致性系数)为 0.778。在对整个样本进行的一阶确证因素分析中,采用了卡方检验、RMSEA、GFI 和 CFI 拟合指数。在确认性因素分析中,计算出的卡方为 1.310。此外,比较拟合指数和绝对拟合指数也确定如下:RMSE=0.035,GFI=0.976,CFI=0.987,RMR=0.030。分析结果表明,"零废弃物管理行为 "量表的拟合指数显示了模型与研究结果的良好拟合。此外,基于性别的参与者陈述的单向方差分析和 T 检验结果之间没有显著差异,而基于年龄、教育水平和居住地区的这些变量之间存在显著差异。
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Investigation of Zero Waste Management Behavior in Turkey
Population growth, industrialization and technological advances have significantly increased waste production, waste collection, transportation and disposal induced significant costs. Waste could be considered a resource that allows nations to reduce the consumption of primary raw materials, protect natural resources and improve economic revenues by reducing environmental pressures. Zero waste approach for sustainable waste management has been approved and implemented globally. The present study aimed to investigate the basic zero-waste management in Turkey. Thus a scale that included eight items was developed and validity and reliability of the scale were analyzed. Explanatory factor analysis (EFA) was initially applied. Then, the fitness of the model was tested with confirmatory factor analysis (CFA). Cronbach's α (internal consistency coefficient) was calculated as 0.778. Chi-square test, RMSEA, GFI and CFI fit indices were employed in the first-order confirmatory factor analysis conducted on the whole sample. Chi-square was calculated as 1.310 in confirmatory factor analysis. Also, comparative and absolute fit indices were determined as follows: RMSEA=0.035, GFI=0.976, CFI=0.987, RMR=0.030. The analysis of the findings revealed that “Zero Waste Management Behavior” scale fit indices demonstrated excellent model fit for the findings. Furthermore, there were no significant differences between one-way ANOVA and T test results on participant statements based on gender, while there were significant differences between these variables based on age, education level and the region of residence.
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