ANALYSIS OF THE COMMUNICATION PROCESS OF SELECTIVE WASTE COLLECTION

Natália Dadario, Sandra Cristina de Oliveira, Renato Dias Baptista
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Abstract

Considering the increase in the generationof solid waste worldwide, selective wastecollection is one of the initiatives thatpromote the reverse logistics of thesematerials, in a way to reduce environmentalimpacts. However, mobilizing thepopulation to promote the return of thesewastes has been a difficult task amongpublic managers. Only strategicallyimplemented communication, not treated ina unique way to reach all audiences, cancontribute to the success of selectivecollection programs. Therefore, this studyaims to identify significant variables, fromthe individuals' opinion, that impedeunderstanding the message contentprovided in selective collection programs.For this, a case study was carried out in a citylocated in the state of São Paulo, Brazil.Multiple logistic regression was used as astatistical analysis tool, in which theresponse variable (the individual's capacityto understand the content of the messages)is considered as a function of 33 explanatoryvariables. From the data analysis, it wasobtained the most adequate logistic modelwith a predictive capacity of almost 92%,such that six explanatory variables (Genre; Ifthe citizen performs separation of materials;If the citizen knows how selective collectionhelps the environment; If the citizen knowsthe municipal cooperative; If the citizenknows that the separation contributes to theeconomy of the city; and, Citizen preferencefor other media for feedback) weresignificant to the response variable. Theresults showed there is an interference ofvariables in the individual's capacity tounderstand the content of the messages,indicating that in a communicationalprocess it is necessary to take into accountthe peculiarities and heterogeneity of thepopulation to achieve the intended purpose.
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分析选择性垃圾收集的传播过程
考虑到全球固体废物产生量的增加,有选择性地收集废物是促进这些材料逆向物流以减少环境影响的举措之一。然而,在公共管理者中,动员民众促进这些废物的回归一直是一项艰巨的任务。只有战略性地实施传播,而不是以独特的方式接触所有受众,才能使选择性回收计划取得成功。为此,我们在巴西圣保罗州的一个城市开展了一项案例研究。研究采用了多元逻辑回归作为统计分析工具,将响应变量(个人理解信息内容的能力)视为 33 个解释变量的函数。通过数据分析,得出了最合适的逻辑模型,其预测能力接近 92%,其中六个解释变量(基因;如果市民进行了材料分类;如果市民知道选择性收集对环境的帮助;如果市民知道市政合作社;如果市民知道分类有助于城市经济;以及市民对其他反馈媒体的偏好)对响应变量显著。结果表明,在个人理解信息内容的能力方面存在变量干扰,这表明在传播过程中,有必要考虑到人口的特殊性和异质性,以达到预期目的。
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