آسیب‌شناسی تعاونی‌های آب بران (موردمطالعه: دشت میان دربند شهرستان کرمانشاه)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، گروه ترویج و آموزش کشاورزی، دانشکده کشاورزی، دانشگاه رازی، کرمانشاه، ایران.

2 دانش‌آموخته کارشناسی ارشد ترویج و آموزش کشاورزی، گروه ترویج و آموزش کشاورزی، دانشکده کشاورزی، دانشگاه رازی، کرمانشاه، ایران.

3 دانشجوی دکتری توسعه کشاورزی، گروه ترویج و آموزش کشاورزی، دانشکده کشاورزی، دانشگاه رازی کرمانشاه، ایران.

چکیده

هدف این پژوهش آمیخته، شناسایی و اولویت‌بندی آسیب‌های مدیریت مشارکتی آبیاری در بین تعاونی‌های آب بران دشت میان دربند شهرستان کرمانشاه است. جامعه مورد مطالعه بخش کیفی افراد صاحب‌نظر در زمینه تعاونی‌های آب بران و مدیریت مشارکتی آبیاری به تعداد 15 نفر با انتخاب هدفمند بود. جامعه آماری بخش کمی نیز، 688 نفر از اعضای تعاونی‌های آب بران منطقه میان دربند بودند که تعداد 245 نفر به روش نمونه‌گیری طبقه‌ای انتخاب شد. ابزار گردآوری اطلاعات مصاحبه نیمه‌ساختارمند و پرسشنامه محقق ساخته بود. یافته‌های بخش کیفی نشان داد آسیب‌های عنوان‌شده به دو دسته آسیب‌های مربوط به تعاونی‌ها و اعضا (آسیب‌های درونی) و آسیب‌های مربوط به سازمان و ارگان‌های مرتبط با مدیریت شبکه‌های آبیاری و زهکشی (آسیب‌های بیرونی) تقسیم شدند. همچنین بر اساس نتایج به‌دست‌آمده بخش کمی، مهم‌ترین آسیب‌های تعاونی‌های آب‌بران عبارت‌اند از: عدم برگزاری جلسات هیئت‌مدیره و مجمع عمومی، نارضایتی از سیاست‌گذاری‌های مدیریتی شبکه، بی‌اعتمادی اعضای تعاونی نسبت به یکدیگر، عدم تحویل به موقع آب در طول فصل زراعی، یکنواخت نبودن توزیع آب در تمام شبکه، بالا بودن نرخ آب‌بها و عدم اختصاص اعتبارات بلندمدت از طرف دولت برای احیای منابع آب. به منظور دسته‌بندی تعاونی‌های آب‌بران از لحاظ میزان تأثیرپذیری از آسیب‌های شناسایی‌شده از تحلیل خوشه‌ای استفاده شد. تعاونی‌ها بر اساس میزان تشابهی که از نظر تأثیرپذیری از آسیب‌ها داشتند در 5 خوشه  قرار گرفتند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Pathology of Water- user Cooperatives (Case study: Mian-Darband Plain, Kermanshah Township)

نویسندگان [English]

  • Amir Hossein Alibaygi 1
  • Somayeh Dashtestan 2
  • Mahboobeh Kheirollahi 3
1 Associate Professor, Department of Agriculture Extension and Education, College of Agriculture, Razi university of Kermanshah, Iran
2 Graduate Master of Agricultural Extension and Education, Department of Agriculture Extension and Education, College of Agriculture, Razi university of Kermanshah, Iran.
3 PhD Student in Agricultural Development, Department of Agriculture Extension and Education, College of Agriculture, Razi university of Kermanshah, Iran.
چکیده [English]

The main purpose of this mixed research was to identify and prioritize the damage of participatory irrigation management among water users' cooperatives in Mian-Darband Plain of Kermanshah Township. The population for qualitative phase consisted of experts and Informant at Kermanshah Regional Water Organization (N=15). Sampling method for this phase was purposeful. Population of quantitative part was members in water users' cooperatives of Mian Darband (N=688) that a sample of 245 was selected by stratified random sampling method. The data collection tool was semi-structured interview and a researcher-made questionnaire Based on the findings from the qualitative part, the damage expressed by the members of water cooperatives was divided into two categories, including the damage related to cooperatives and members (internal damage) and damage related to organization and related organs to the management of irrigation and drainage networks (external damage). According to the results of the quantitative apart, the most important damages which threaten the cooperatives were: not holding of management board meetings and general assembly, dissatisfaction with policy of management networks, distrust among members of cooperation, lack of timely delivery of water during the growing season, lack of uniformity in water distribution, high water pricing, not delivering long-time credits by government for recovering water resources. Water- user Cooperatives Cluster analysis was used in five clusters to determine the extent of identified impacts.

کلیدواژه‌ها [English]

  • Water
  • Pathology
  • Water users' cooperative
  • Mian-Darband Plain
  • Cluster analysis
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