Ghulam Mustafa, I. A. Latif, M. Bashir, M. Shamsudin, W. Daud
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Determinants of farmers' awareness of climate change
ABSTRACT Studies have found that farmers' awareness of climatic variations is the preliminary step for adaptation and mitigation in agriculture. Thus, the main aim of this article is to investigate the determinants of farmers' awareness of climate change. A multistage random sampling technique was used to collect primary data from Central and Southern Punjab, Pakistan through a structured questionnaire. Descriptive statistics were used to indicate the farmers' awareness level of climate change, whereas the binary logit model was applied to determine the factors affecting the farmers' level of awareness. The results showed that farmers were aware of prevailing temperature and rainfall patterns, but there is still a considerable potential for public perception to be shaped by relevant stakeholders. Further, it was found that farmers' level of awareness is determined by the environmental communication network, such as socioeconomic, institutional, and geographic factors.
期刊介绍:
Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.