Application of Complexity Theory and Agricultural Innovation System Approaches to Evaluate Performance of the New Agricultural Extension System: The Case of Iran

  • سال انتشار: 1402
  • محل انتشار: مجله علوم و فناوری کشاورزی، دوره: 26، شماره: 1
  • کد COI اختصاصی: JR_JASTMO-26-1_002
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 58
دانلود فایل این مقاله

نویسندگان

N. Jafari

Department of Agricultural Extension and Education, College of Agriculture, Shiraz University, Shiraz, Islamic Republic of Iran.

E. Karami

Professor, Department of Agricultural Extension and Education, College of Agriculture, Shiraz University

M. Keshavarz

Department of Agriculture, Payame Noor University, Tehran, Islamic Republic of Iran.

Sh. Karami

Department of Agricultural Extension and Education, College of Agriculture, Shiraz University, Shiraz, Islamic Republic of Iran.

H. Azadi

Department of Geography, Gent University, Belgium

چکیده

A well-designed Agricultural Extension System (AES) can facilitate transitions towards sustainable agriculture. However, in most developing countries, AES has failed to promote sustainable agricultural development. The New Agricultural Extension System (NAES) was initiated to facilitate agricultural development in Iran. However, there is still no definite reflection on the influences of NAES on agricultural development. Therefore, this research aimed to evaluate the performance of NAES. To ensure an integrative and holistic analysis of the NAES’s performance, the Complexity Theory (CT) and Agricultural Innovation System (AIS) approaches were used. To gather data, survey research was conducted in Fars Province, southern Iran. A multi-stage random sampling was used to identify the designated extension agents. The findings indicated that effective implementation of the NAES needs facilitated interaction through network mediation ( X = ۷۱.۶), creation of an enabling context for the delivery of extension services ( X = ۶۶.۶), improved communication and marketing infrastructures ( X = ۷۲), development of a value chain ( X = ۷۱.۴), acceptance of self-organization ( X = ۶۷.۸) and adoption of complexity-aware management ( X = ۶۶). The results also identified the hindering effects of demographic, structural and psychological factors on the practical application of CT and AIS principles. Some recommendations and implications are offered to improve the effectiveness of NAES.

کلیدواژه ها

Agricultural development, Capacity building, Complex adaptive system, Extension agents, Fars Province.

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.