Analyzing the Socioeconomic Determinants of Adoption of Climate Smart Agriculture in Nawalparasi District of Nepal

S. Mishra, H. Panta, T. Bhandari, A. K-c
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Abstract

Climate change is an emerging global issue and its impact on agriculture of the developing countries has been increasing substantially in the last two-decade. Relevancy of issues how much the climate smart agricultural technologies were reaching at farm level and their economics of adoption were not properly studied in the past. Research examined the various climate smart agricultural technologies, the benefit of it and the socioeconomic factors affecting its adoption in the purposively selected Agyouli village of Nawalparasi district. For obtaining primary data from the respondents, 100 samples were selected by using a simple random sampling technique. The study was done by direct interviews and focus group discussions with the selected respondents through the means of questionnaires and checklist respectively in May 2018. The results of the primary information further complemented by using secondary data collected from the published sources. The community seed bank, green manure, biogas, legume intercropping, improved varieties, integrated pest management and integrated plant nutrient management as climate smart agricultural technologies in the farms of adopters contributed significantly higher farm income, productivity, gross income and benefit-cost ratio of paddy production for the adopters by NRs. 24377.9, 1.5 t ha-1, NRs. 35298.7 and 0.88 respectively than non-adopters. Further analysis of binary logistic regression model assessed the significant effect of age of household head, economically active household members and the training on the likelihood of adoption of climate smart agriculture. The study recommends climate smart agricultural technologies throughout the country in the changing context of climate change.
尼泊尔纳瓦尔帕拉西地区采用气候智能型农业的社会经济决定因素分析
气候变化是一个新兴的全球性问题,其对发展中国家农业的影响在过去二十年中显著增加。气候智能型农业技术在农场层面达到了多少程度,以及采用这些技术的经济效益,这些问题的相关性在过去没有得到适当的研究。研究考察了各种气候智能型农业技术、其效益和影响其采用的社会经济因素,并特意选择了纳瓦尔帕拉斯地区的Agyouli村。为了从受访者中获得主要数据,我们采用简单的随机抽样技术选择了100个样本。本研究分别于2018年5月通过问卷调查和核对表的方式对选定的受访者进行了直接访谈和焦点小组讨论。通过使用从公开来源收集的次要数据,进一步补充了原始信息的结果。社区种子库、绿肥、沼气、豆科作物间作、改良品种、病虫害综合治理和植物养分综合管理等气候智能型农业技术,显著提高了采用者的农场收入、生产力、毛收入和水稻生产的效益成本比。24377.9, 1.5 t ha-1, NRs。比非采用者分别高出35298.7和0.88。对二元logistic回归模型的进一步分析评估了户主年龄、从事经济活动的家庭成员和培训对采用气候智慧型农业可能性的显著影响。该研究建议在不断变化的气候变化背景下,在全国范围内采用气候智能型农业技术。
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