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Hamid Rastegari Kopaei
Department of Rural Development Management, Faculty of Agriculture, Yasouj University, Yasouj 75918-74831, Iran

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Journal article
Published: 16 June 2021 in Sustainability
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Home composting is judged as an effective municipal waste management option in which household contribution is essential, but it has a low adoption. The objectives of the study were to determine the factors that influence home composting intention and identify the moderating role of composting knowledge in the model, using the combined model of the theory of planned behavior (TPB) and norm activation model (NAM). A structured questionnaire was applied to a sample of 367 residents of Isfahan city, Iran, randomly selected. Data were analyzed using cluster analysis, discriminant analysis, PLS-SEM, and PLS-MGA. Cluster analysis grouped the three clusters based on the constructs of the integrated model, and this result was confirmed by discriminant analysis. Findings show that attitude, subjective norm, and perceived behavior control can predict the intention to compost. Study results confirmed the positive effect of awareness of the consequences of composting on ascribed responsibility to compost at home, of responsibility to the personal norm, and of the personal norm on intention to compost at home. Furthermore, it was observed that composting knowledge moderates the relationship between subjective norm and behavioral intention, and the one between perceived behavioral control and behavioral intention. The integrated model had more predictive power than the TPB model. The fit statistic of the integrated model was good and 71% of the variance for intention behavior toward home composting. The insights on factors affecting residents’ intention to compost obtained from this study can be used in measures and programs that reinforce and stimulate home composting.

ACS Style

Hamid Rastegari Kopaei; Mehdi Nooripoor; Ayatollah Karami; Ruxandra Petrescu-Mag; Dacinia Petrescu. Drivers of Residents’ Home Composting Intention: Integrating the Theory of Planned Behavior, the Norm Activation Model, and the Moderating Role of Composting Knowledge. Sustainability 2021, 13, 6826 .

AMA Style

Hamid Rastegari Kopaei, Mehdi Nooripoor, Ayatollah Karami, Ruxandra Petrescu-Mag, Dacinia Petrescu. Drivers of Residents’ Home Composting Intention: Integrating the Theory of Planned Behavior, the Norm Activation Model, and the Moderating Role of Composting Knowledge. Sustainability. 2021; 13 (12):6826.

Chicago/Turabian Style

Hamid Rastegari Kopaei; Mehdi Nooripoor; Ayatollah Karami; Ruxandra Petrescu-Mag; Dacinia Petrescu. 2021. "Drivers of Residents’ Home Composting Intention: Integrating the Theory of Planned Behavior, the Norm Activation Model, and the Moderating Role of Composting Knowledge." Sustainability 13, no. 12: 6826.

Article
Published: 10 February 2020 in GeoJournal
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Tourism can play an important role in diversifying the rural economy and its expanding in rural areas contributes to the sustainability of the population and the economy of these areas and provides the basis for achieving sustainable rural development. Therefore, the aim of this study was to investigate the relationship between tourism and rural development in Doroodzan region of Marvdasht Township, Iran. This study was carried out using a survey method and the data were collected using a questionnaire from 150 head of households in the villages of the region. The validity of the questionnaire was verified by rural development specialists and the reliability of the instrument was confirmed by Cronbach’s alpha test, which was obtained between 0.71 and 0.88. The results of the data analysis showed that the status of socio-cultural, environmental, economic and rural development in general was rated as moderate. Also, the status of tourism development in the study area has been relatively low from the viewpoint of the respondents. The results also showed a positive and significant relationship between tourism development and socio-cultural, environmental and economic development (r = 0.60, 0.36, and 0.66 respectively). Especially, the intensity of this correlation was relatively higher for economic development. In order to predict the dependent variable (rural development), the multi-layer perceptron neural network was used. The purpose of this analysis was to assess the ability of tourism development to explain the variance of rural development. The results of this phase, showed that tourism development variable was able to explain 26.2% of the variance of dependent variable (rural development). At the end, according the findings some practical recommendations has been presented.

ACS Style

Mehdi Nooripoor; Madineh Khosrowjerdi; Hamid Rastegari; Zeinab Sharifi; Masoud Bijani. The role of tourism in rural development: Evidence from Iran. GeoJournal 2020, 1 -15.

AMA Style

Mehdi Nooripoor, Madineh Khosrowjerdi, Hamid Rastegari, Zeinab Sharifi, Masoud Bijani. The role of tourism in rural development: Evidence from Iran. GeoJournal. 2020; ():1-15.

Chicago/Turabian Style

Mehdi Nooripoor; Madineh Khosrowjerdi; Hamid Rastegari; Zeinab Sharifi; Masoud Bijani. 2020. "The role of tourism in rural development: Evidence from Iran." GeoJournal , no. : 1-15.