Determinants of adoption of climate resilient agricultural solutions

IF 6.1 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-09-28 DOI:10.1016/j.agsy.2024.104139

Sujata Shrestha , Uttam Babu Shrestha , Bibek Raj Shrestha , Shirish Maharjan , Erica Udas , Kamal Aryal

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Abstract

CONTEXT

Climate change poses significant challenges to agricultural productivity, crop yield and overall resilience of farming system, particularly in mountainous regions. In a mountainous coutry like Nepal, where agriculture is a crucial livelihood for a substantial population, the Climate Resilient Agricultural (CRA) solutions are imperative. These solutions aim to enhance the sustainability of water, reduce reliance on pesticides and chemical fertilizers, and increase farm productivity and income. However, understanding the factors influencing farmers' decisions to adopt or reject such solutions remains a critical knowledge gap.

OBJECTIVES

This study investigates the socio-psychological and socio-demographic determinants affecting the adoption of climate-resilient agricultural solutions.

METHODS

This study uses the theory of planned behavior and a mixed-method approach to conduct household surveys with farmers, Key Informant Interviews with experts and implementing partners, and Focus Group Discussions with farmers' groups. Responses to behavior-related questions were analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM), and the factors influencing the farmers' adoption behavior were identified using binary logistic regression.

RESULTS AND CONCLUSIONS

The result based on a limited sample size indicates that farm characteristics and farmers' perceived behavior control significantly influence the adoption and continuation behavior of CRA solutions. In conclusion, fostering awareness, capacity building, and skill development and establishing both market and non-market incentives are essential for improving the adoption of new solutions for climate resilience in agriculture, however, the in-depth research is recommended to better understand the adoption behavior within specific farming systems.

SIGNIFICANCE

The findings of this research offer valuable insights for policymakers and development practitioners striving to promote the widespread adoption of CRA solutions in farming communities. It will help to develop targeted strategies and policies that effectively support the integration of these solutions into agricultural practices, ultimately enhancing the resilience of the farming system in the face of climate change.

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采用具有气候复原力的农业解决方案的决定因素

气候变化对农业生产率、作物产量和农业系统的整体恢复能力构成重大挑战，尤其是在山区。在尼泊尔这样的山区国家，农业是大量人口的重要生计，因此必须采用气候适应性农业（CRA）解决方案。这些解决方案旨在提高水资源的可持续性，减少对杀虫剂和化肥的依赖，提高农业生产率和收入。然而，了解影响农民决定采用或拒绝这些解决方案的因素仍然是一个关键的知识缺口。

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来源期刊

Agricultural Systems 农林科学-农业综合

CiteScore

13.30

自引率

7.60%

发文量

174

审稿时长

30 days

期刊介绍： Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.