تبیین نقش سیاستگذاری بر نهادسازی مدیریت مخاطرات در مناطق روستایی و کشاورزی "روستو آن دن" در فدراسیون روسیه
محورهای موضوعی : پژوهش های ترویج و آموزش کشاورزیشهاب الدین شکری 1 , آلکسی اوریچ آرکیپوف 2 , یولیا و یاچسلاواونا فیلوننکو 3 , بلوکریلوا اولگا اسپیریدانوا 4 , مارینا سانیکوا 5
1 - استادیار گروه اقتصاد کشاورزی، دانشکده کشاورزی و علوم پایه، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، تهران، ایران
2 - استاد و رئیس مدرسه عالی کسب و کار، دانشگاه فدرال جنوبی، روستو آن دن، فدراسیون روسیه
3 - دانشیار گروه اقتصاد، دانشگاه فدرال جنوبی، روستو آن دن، فدراسیون روسیه
4 - استاد گروه اقتصاد، دانشگاه فدرال جنوبی، روستو آن دن، فدراسیون روسیه
5 - دانشیار علوم اقتصادی، گروه مدیریت و اقتصاد، دانشگاه کشاورزی ایالتی ساراتو، روستو آن دن، فدراسیون روسیه
کلید واژه: نهادسازی, سیاست گذاری, مدل ساختاری, روستو آن دن, فدراسیون روسیه,
چکیده مقاله :
هدف از این تحقیق تخصیص یک مدل ساختاری برای تخمین اثرات عوامل سیاست گذاری شامل سیاست های مالی و انرژی بر مؤلفه های نهادی مرتبط با مدیریت مخاطرات در بخش کشاورزی و جامعه روستایی "روستو آن دن" بوده است. مؤلفه های نهادی مرتبط با مدیرت مخاطرات طبق بررسی مقدماتی پروفایل آسیب پذیری بر اساس وضعیت منطقه مورد مطالعه و از ابعاد اقلیمی، تولیدی، اقتصادی- اجتماعی، بازار کشاورزی، بازار کار و مقررات زمین، استخراج و اولویت بندی شدند. در مرحله بعد مهم ترین راهبردها به منظور مدیریت مخاطرات مربوطه و افزایش قابلیت برگشت پذیری اقتصاد شناسایی شدند. جامعه آماری شامل 75 متخصص موضوعی در رشته اقتصاد و اقتصاد کشاورزی از دانشگاه فدرال جنوبی روسیه (روستو آن دن) و دانشگاه ایالتی کشاورزی ساراتو و نیز تعدادی از کارشناسان بخش دولتی بود. در نهایت مدل های تأییدی دو عاملی سیاست گذاری و نهادها و برازش مدل اندازه گیری مورد آزمون، اصلاح و تعدیل قرار گرفت. یافته های بخش ساختاری مدل نیز حمایت مدل از سوی داده های نمونه ای را تأیید کردند. همچنین نتایج بخش ساختاری مدل نشان دادند که دو عامل "سیاست مالی" و "سیاست انرژی" توانایی تبیین به ترتیب 48 درصد و 38 درصد از واریانس متغیرهای "تکنولوژی نهادی" و "نهادسازی" را دارا می باشند.
The purpose of this research was to specify a structural model in order to estimate the impact of policymaking factors (financial policy and energy policy) on institutional components related to the risk management in agricultural and rural areas of Rostov on Don. At the first stage, we explored and ranked a risk profile in agriculture based on the Rostov situation including climate, production, socio-economic, agricultural market, labor market and land regulation. At the next stage, the main strategies were identified in order to manage related risks and increase economic resilience. The data used in this paper were collected through a structured questionnaire from 75 subject matter specialists in the field of economics and agricultural economics from Southern Federal University (Rostov on Don) and Saratov State Agrarian University along with a number of governmental experts. Two confirmatory models of policy making and institutions fitted the data or supported by the obtained sample data. Resulted from the structural model showed that two factors of “financial policy” and “energy policy” explains 48 and 38 percent of variance in “institutional technology” and “institutional building” respectively.
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