Sattar Rao Sabir, Mehmood Muhammad Sajid, Raza Muhammad Hammad, Wijeratne V P I S, Shahbaz Babar
Institute of Agricultural Extension, Education and Rural Development, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan.
College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Environ Sci Pollut Res Int. 2023 Mar;30(15):45331-45341. doi: 10.1007/s11356-023-25480-0. Epub 2023 Jan 27.
This study examined the adaptation level of climate-smart agricultural (CSA) practices among the farmers and the factors influencing the adoption of CSA practices in the Fujian Province, China. In this study, questionnaire survey data was analyzed, and 600 respondents were randomly selected as sample through randomly sampling technique. Descriptive statistics, adoption level index (ALI), and binary logit model were used for data analyses. These results indicated a moderate adoption level of CSA practices in the Fujian Province. Use of improved varieties, conservation tillage, fallow cropping, new technology, and intercropping were prevalent CSA practices among the farmers in the study area. In addition, farmers were not very interested in using herbicides on their farmlands, and only 20% of the respondents used herbicides in the Fujian Province. Except for Nindge village in the Fujian Province, all other studied villages have adapted to using organic fertilizer (around 50% of total respondents). However, more than 60% of respondents have claimed they still use chemical weed/insect/disease control in their farmlands. Age and working experience of farmers were the most influencing factors affecting the increase in the adoption of CSA practices among the farmers, and to the results of the binary logit model, education was not significant. Landholding, loan access, and access to agricultural extensions and organizations considerably impacted the adoption level of CSA practices among the farmers in the Fujian Province. Finally, this study will be helpful to decision-makers to make appropriate decisions to minimize the impact of climate change on agriculture and improve the standard of human life and food security.
本研究考察了中国福建省农民对气候智能型农业(CSA)实践的适应水平以及影响采用CSA实践的因素。在本研究中,对问卷调查数据进行了分析,并通过随机抽样技术随机选取600名受访者作为样本。采用描述性统计、采用水平指数(ALI)和二元logit模型进行数据分析。这些结果表明福建省对CSA实践的采用水平中等。使用改良品种、保护性耕作、休耕种植、新技术和间作是研究区域农民中普遍采用的CSA实践。此外,农民对在农田使用除草剂兴趣不大,福建省只有20%的受访者使用除草剂。除福建省宁化村外,其他所有研究村庄都已适应使用有机肥(约占受访者总数的50%)。然而,超过60%的受访者声称他们仍在农田中使用化学除草/除虫/防病方法。农民的年龄和工作经验是影响农民采用CSA实践增加的最主要因素,根据二元logit模型的结果,教育程度并不显著。土地持有量、贷款获取以及获得农业推广和组织的机会对福建省农民采用CSA实践的水平有相当大的影响。最后,本研究将有助于决策者做出适当决策,以尽量减少气候变化对农业的影响,提高人类生活水平和粮食安全。