روستا و توسعه

روستا و توسعه

بررسی تأثیر مؤلفه‌های سرمایه‌ اجتماعی بر مدیریت پسماندهای روستایی (مطالعه موردی: روستاهای بخش پادنا در شهرستان سمیرم)

نوع مقاله : مقاله پژوهشی

نویسندگان
علیرضا علی پور 1
سیده شادی موسوی 2
محمد صادق ابراهیمی کوه بنه 3
1 استادیار گروه توسعه روستایی، دانشکده کشاورزی، دانشگاه صنعتی اصفهان، اصفهان، ایران.
2 دانش‌آموخته کارشناسی ارشد توسعه روستایی، دانشکده کشاورزی، دانشگاه صنعتی اصفهان، اصفهان، ایران.
3 دانشیار گروه توسعه روستایی، دانشکده کشاورزی، دانشگاه صنعتی اصفهان، اصفهان، ایران.
10.30490/rvt.2024.367012.1621
چکیده
رشد روزافزون جمعیت و افزایش چشمگیر فعالیت‌های انسانی، تغییر الگوهای زندگی و تنوع فزاینده نیازهای بشر منجر به افزایش پسماندهای مختلف در جوامع شهری و روستایی شده است. روستاها به‌خصوص روستاهای حواشی شهرهای بزرگ ایران همچون دیگر جوامع انسانی تحت تأثیر این تحولات و خطرات واقع شده است. ازاین‌رو، پژوهش حاضر به بررسی تأثیر مؤلفه‌های سرمایه اجتماعی بر مدیریت پسماندهای روستایی در روستاهای بخش پادنا در شهرستان سمیرم از توابع استان اصفهان پرداخته است. تعداد 150 نفر از جامعه آماری مورد نظر به ­عنوان نمونه، انتخاب و اطلاعات به روش نمونه‌گیری تصادفی ساده در سال 1403 جمع‌آوری شد. نتایج حاصل از تحلیل همبستگی پیرسون نشان داد بین مؤلفه‌های سرمایه اجتماعی و مدیریت مطلوب پسماندهای روستایی در نمونه مورد مطالعه همبستگی مثبت و معنی‌دار وجود دارد. نتایج استفاده از شبکه عصبی مصنوعی پرسپترون چندلایه نیز نشان داد که اخلاقیات و اعتماد اجتماعی به ترتیب بیشترین اهمیت نسبی را در رفتار مدیریت پسماندهای روستایی ساکنان به خود اختصاص داده ­اند. نتایج تحلیل داده‌ها با استفاده از روش رگرسیون چندمتغیره گام­ به­ گام نشان داد مؤلفه‌های مشارکت و اخلاقیات اجتماعی در میان عناصر تشکیل ‌دهنده سرمایه اجتماعی دارای اثرگذاری مثبت و معنی‌دار بر مدیریت پسماندهای روستایی بودند و بر این مبنا به ­عنوان مؤلفه‌های پیشگو در توضیح رفتار مدیریت پسماند روستایی در منطقه مورد مطالعه شناخته شدند. در نهایت، براساس نتایج به دست آمده، برنامه‌ریزی و سیاست‌گذاری در جهت ترویج و بهبود اخلاقیات و مشارکت اجتماعی در مدیریت مطلوب پسماندهای روستایی از طریق برگزاری کارگاه‌های آموزشی و ارائه مشوق‌های مالی در مناطق روستایی توسط نهادهای ذی ­ربط مورد تأکید قرار گرفت. 
کلیدواژه‌ها
پسماند روستایی
شبکه اجتماعی
سرمایه اجتماعی
شبکه عصبی مصنوعی
سمیرم

موضوعات

عنوان مقاله English

Investigating the Impact of Social Capital Components on Rural Waste Management (Case Study: Villages of the Padena District of Semirom County)

نویسندگان English

A.R. Alipour 1
S.Sh. Mousavi 2
M.S. Ebrahimi 3
1 Assistant Professor, Department of Rural Development, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
2 MSc Graduate, Department of Rural Development, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
3 Associate Professor, Department of Rural Development, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
چکیده English

Introduction
The expansion of villages in the last few decades has caused significant changes in the quality and quantity of rural waste. Rural waste not only leads to diseases but also results in unpleasant odors, unsightly rural landscapes, and pollution of water, soil, and air in the village environment, adversely affecting rural residents. According to the Demographic Data Organization statistics, Iran ranked 17th globally in waste production in 2021. The per capita waste production in Iran is approximately double the global average. Despite the Public Service Department of Rural Affairs of Iran reporting that 10,000 tons of regular wastes are generated daily in the country's villages, half of which cannot be recycled, emphasizing the importance of optimal rural waste management and identifying effective components in this area.
Materials and Methods
This study evaluated the impact of social capital components on rural waste management in villages of the Padena district (Semirom County). Data were collected using a questionnaire in 2024. The questionnaire's validity was confirmed by a panel of experts, and its reliability was assessed using Cronbach's alpha test. Pearson's correlation coefficient was employed to analyze the relationship between social capital components and rural waste management behavior in the study area. The artificial neural network was utilized to identify the most crucial social capital component in rural waste management. Lastly, a stepwise multivariate regression method was used to assess the statistical significance of social capital components in influencing waste management behavior and identify key predictor components.
Results and Discussion
The Pearson correlation analysis revealed a positive correlation between various dimensions of social capital and waste management at a significant confidence level, indicating a strong relationship between social capital and effective rural waste management in the region. The study found that the social ethics component, with an importance coefficient of 0.22 and a relative importance of 100%, was relatively more critical in rural waste management behavior than other social capital components. Social trust was identified as the second most important component in waste management behavior. Among the social capital components, only ethics and social participation had a positive and significant impact on rural waste management in the study area. These two components should be considered as predictive variables in waste management behavior, with each unit increase in social ethics leading to a 1.41 unit improvement in waste management behavior, and each unit increase in social participation contributing 0.75 units to improved waste management behavior.
Conclusions
The study highlights the importance of adhering to social ethics and positive characteristics such as respecting others' rights, social responsibility, empathy, solidarity, and participation in social activities in rural waste management. The results emphasize the need for planning and policy-making to enhance ethics and social participation in optimal rural waste management through educational workshops and financial incentives in rural areas.

کلیدواژه‌ها English

Rural Waste
Social Network
Social Capital
Artificial Neural Network
Semirom
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