The Challenges Facing Agricultural Extension from the Viewpoint of Agricultural Officers in Pakistan
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 63
This Paper With 15 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JASTMO-23-3_002
تاریخ نمایه سازی: 23 آبان 1402
Abstract:
Agriculture extension services in Pakistan are perceived as ineffective for many reasons. Limited research has been conducted so far in Pakistan to find those reasons. This study was conducted to consolidate different factors impeding the performance of Agriculture Officers (AOs), who are the change agents and most important pillar of extension system in Punjab, Pakistan. This study employed ۳۴۸ randomly selected AOs working in Punjab Province. The main research question levelled was that why the work of AOs is perceived ineffective and how it can be mainstreamed. This study was qualitative in nature with probability sample and external validity. Data were collected qualitatively and analyzed using thematic analysis technique. Empirically, we identify and discuss a number of notable and explanatory themes affecting the performance of AOs such as “fractional support from the government”, “confused working environment”, “advisory services techniques and physical environment”, "organizational capacity and professional growth”, and “partnership and linkages issues”. The findings highlight a deep insight into how AOs struggle for their survival and meeting hefty targets with fractional facilitation. This paper also provides a generalization of the results and brief recommendations to be considered to revamp extension services in Pakistan and Asian countries, and initiate transnational linkages to restore the grace agricultural extension.
Keywords:
Authors
S. Ashraf
In-Service Agricultural Training Institute Rahim Yar Khan, Punjab, Pakistan.
Z. Yousaf Hassan
Agriculture Extension & Adaptive Research, Punjab, Pakistan.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :