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Assessing the variables affecting on the rate of solid waste generation and recycling: An empirical analysis in Prespa Park

机译:评估影响固体废物产生和再循环率的变量:Prespa Park的经验分析

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Economic development, urbanization, and improved living standards increase the quantity and complexity of generated solid waste. Comprehensive study of the variables influencing household solid waste production and recycling rate is crucial and fundamental for exploring the generation mechanism and forecasting future dynamics of household solid waste. The present study is employed in the case study of Prespa Park. A model, based on the interrelationships of economic, demographic, housing structure and waste management policy variables influencing the rate of solid waste generation and recycling is developed and employed. The empirical analysis is based on the information derived from a field questionnaire survey conducted in Prespa Park villages for the year 2014. Another feature of this study is to test whether a household's waste generation can be decoupled from its population growth. Descriptive statistics, bivariate correlation analysis and F-tests are used to know the relationship between variables. One-way and two-way fixed effects models data analysis techniques are used to identify variables that determine the effectiveness of waste generation and recycling at household level in the study area. The results reveal that households with heterogeneous characteristics, such as education level, mean building age and income, present different challenges of waste reduction goals. Numerically, an increase of 1% in education level of population corresponds to a waste reduction of 3 kg on the annual per capita basis. A village with older buildings, in the case of one year older of the median building age, corresponds to a waste generation increase of 12 kg. Other economic and policy incentives such as the mean household income, pay-as-you-throw, percentage of population with access to curbside recycling, the number of drop-off recycling facilities available per 1000 persons and cumulative expenditures on recycling education per capita are also found to be effective measures in waste reduction. The mean expenditure for recycling education spent on a person for years 2010 and 2014 is 12 and 14 cents, respectively and it vary from 0 to €1. For years 2010 and 2014, the mean percentage of population with access to curbside recycling services is 38.6% and 40.3%, and the mean number of drop-off recycling centers per 1000 persons in the population is 0.29 and 0.32, respectively. Empirical evidence suggests that population growth did not necessarily result in increases in waste generation. The results provided are useful when planning, changing or implementing sustainable municipal solid waste management.
机译:经济发展,城市化和生活水平的提高增加了产生的固体废物的数量和复杂性。全面研究影响生活垃圾产生量和回收率的变量对于探索生活垃圾的产生机理和预测未来的动态至关重要且至关重要。本研究用于Prespa公园的案例研究。基于经济,人口,住房结构和废物管理政策变量之间相互关系的模型,该模型会影响固体废物产生和循环利用的速度,并以此为基础。实证分析基于2014年在Prespa公园村庄进行的野外问卷调查得出的信息。该研究的另一个功能是检验家庭垃圾的产生是否可以与人口增长脱钩。描述性统计,双变量相关分析和F检验用于了解变量之间的关系。单向和双向固定效应模型数据分析技术用于确定变量,这些变量确定研究区域内家庭一级废物产生和回收的有效性。结果表明,具有不同特征的家庭(如教育水平,平均建筑年龄和收入)对减少废物目标提出了不同的挑战。从数字上讲,人口教育水平提高1%,相当于人均每年减少3公斤废物。如果一个村庄的建筑物较旧,则比建筑物的中位年龄大一岁,则相当于产生了12公斤的废物。其他经济和政策激励措施包括平均家庭收入,现收现付,可得到路边回收的人口比例,每千人可使用的下车回收设施数量以及人均回收教育的累计支出。也被发现是减少废物的有效措施。 2010年和2014年,每个人在回收教育上的平均支出分别为12美分和14美分,从0到1欧元不等。 2010年和2014年,获得路边回收服务的人口平均比例为38.6%和40.3%,每千人中下车回收中心的平均数量分别为0.29和0.32。经验证据表明,人口增长并不一定导致废物产生量的增加。提供的结果在规划,更改或实施可持续的城市固体废物管理时非常有用。

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