卡纳塔克邦半干旱地区采用气候智能型农业做法对农民收入的影响

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-09-16 DOI:10.1016/j.agsy.2024.104135
Shreya Kapoor , Barun Deb Pal
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引用次数: 0

摘要

背景半干旱地区是最容易受到气候变化影响的农业地区之一。卡纳塔克邦是印度的一个半干旱邦,在上个世纪,该邦的气温升高了 0.4 摄氏度,年平均降雨量呈下降趋势,降雨量下降了 10%,极易受到气候变化的影响。为了适应气候变化的影响,2013 年,卡纳塔克邦政府与国际农业研究磋商组织研究所和农业大学共同启动了 Bhoo-Samrudhi 计划,在该邦推广气候智能型农业实践。该计划的主要目标是将作物产量提高 25%,将农民收入提高 20%。目标首先,本研究旨在确定哪些人采用了 CSA 实践,规模如何?其次,与不采用 CSA 但经过改良的农业耕作方法和传统耕作方法相比,农民采用 CSA 方法会增加多少收入?第三,本研究估算了采用 CSA 实践的不同规模下农民收入的边际增长。最后,本研究确定了在卡纳塔克邦推广采用 CSA 实践过程中可能面临的挑战和机遇。样本包括 833 个采用农户和 633 个未采用农户。非采用农户是指采用传统作物种植方法的农户,其余农户则被视为采用农户。研究采用多项式逻辑回归法来探讨采用农户与未采用农户的不同之处。此外,我们还采用了倾向得分匹配和反概率加权回归调整方法来估计采用 CSA 实践的规模对农民收入的影响。此外,与采用改进技术的农民相比,采用低度强化技术对农民收入的影响估计为 4845 卢比,中度强化技术为 6801 卢比,高度强化技术为 7858 卢比。因此,我们可以得出结论,采用单一技术可能无法解决问题,相反,技术集约化可以成为应对气候变化脆弱性和提高抗灾能力的更有效机制。然而,改善粮食和生计安全的一个新方法是通过可持续的技术强化。因此,本研究有助于提供基于经验和证据的政策建议,以促进技术强化,而不是仅仅推广单一技术。因此,技术集约化可被视为农民提高作物和土地生产率并获得更高经济回报的一揽子多种技术。
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Impact of adoption of climate smart agriculture practices on farmer's income in semi-arid regions of Karnataka

Context

Semi-arid regions are one of the most vulnerable regions of climate change to agriculture. Karnataka, a semi-arid state of India has warmed by 0.4 °C with declining trends in average annual rainfall by 10 % over the last century, is highly vulnerable to climate change. To adapt with this climate change impact, Government of Karnataka along with CGIAR institutes and agriculture universities had initiated the Bhoo-Samrudhi program in 2013 to promote climate smart agriculture practices in the state. The primary aim of this program was to enhance crop productivity by 25 % and farmers income by 20 %.

Objective

Firstly, this study aims to identify who adopts CSA practices and at what scale? Secondly, how much additional income farmers earn by adopting CSA practices as compared the non-CSA but improved agricultural practices, and the traditional practices. Thirdly, this study estimates marginal increase in farmers income at difference scale of adoption of CSA practices. Finally, this study identifies possible challenges and opportunities in upscaling the adoption of CSA practices in the state.

Methods

A primary survey using a semi-structured questionnaire was conducted among the selected 1466 farmer households in four districts of Karnataka (Bidar, Chikballapur, Dharwad, and Udupi). The sample consisted of 833 adopter farmers and 633 non-adopter farmers. Non-adopter farmers were those who were following traditional practice of crop cultivation and rest of the farmers are treated as adopters. The study used multinomial logistic regression to explore what made adopter farmers different from non-adopter farmers. Further, we had applied propensity score matching and inverse probability weighted regression adjustment methods to estimate the impact of scale of adoption of CSA practices on farmers income.

Results and conclusions

The results highlighted that landholding size, education levels, and asset ownership likely affect the adoption of various levels of CSA practice intensification. Moreover, the impact of adoption on farmers' income is estimated to be Rs. 4845 for low intensified, Rs. 6801 for medium intensified, and Rs. 7858 for highly intensified farmers, in comparison to the improved technology adopters. Therefore, we can conclude that adoption of single technology may not be able to solve the problem, instead technology intensification can be a more effective mechanism to deal with the vulnerabilities and create resilience against climate change.

Significance

Technology adoption has been a proven method to improve agricultural productivity as well as income of the farmers in semi-arid regions across the globe. However, an upcoming method to improve food and livelihood security is through sustainable technological intensification. Thus, this study contributes to providing empirical and evidence-based policy suggestions to promote technology intensification instead of just promoting one single technology. Therefore, technology intensification can be considered as a package of multiple technologies for the farmers to improve their crop and land productivity, and to gain higher economic return.

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来源期刊
Agricultural Systems
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.
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