School of Public Administration, Xiangtan University, Xiangtan, Hunan, 411105, People's Republic of China.
South Asia Research Center, School of Public Administration, Xiangtan University, Xiangtan, Hunan, 411105, People's Republic of China.
Environ Sci Pollut Res Int. 2023 Feb;30(7):18199-18212. doi: 10.1007/s11356-022-23471-1. Epub 2022 Oct 7.
This research was conducted in a significant agricultural region to gauge farmers' knowledge of climate change adaption strategies. We employed a semi-structured questionnaire based on the literature; it was broken up into sections, and used certain statistical techniques (PLS-SEM) to examine the results. Farmers who had sufficient assets and resources thought they were safer and could withstand the adverse effects of climate change. A total of 900 completed questionnaires were gathered to investigate the link between the control, moderator, and DV variables in the future. As a consequence, the PLS-SEM path analysis findings showed that our model is fit. PLS-SEM direct path analysis revealed AM > FACC, UA- > FACC, SA- > FACC, FS- > FACC, PR- > FACC, and SI- > FACC are significant. The established hypotheses H1-H6 are strengthened by these findings. We also examined the respondents' ages and genders to use as controls; whereas gender showed no correlation with FACC, there was a strong link between age and the dependent variable. There is no statistically significant correlation between gender and climate change awareness, but older people tend to have a broader understanding of the topic and its consequences. Education significantly moderates the relationship of farmer's awareness (climate change) associated with AM, UA, SA, FS, PR, and SI. depicts the moderation role of education on the relationship between AMEducation- > FACC, UAEducation- > FACC, SAEducation- > FACC, FSEducation- > FACC, PREducation- > FACC, and SIEducation- > FACC. H2a and H5a in this study showed significant correlations with education as a moderator; however, H1a, H3a, H4, and H6a did not demonstrate any moderator relationships. There is a medium to strong correlation between various factors, and the correlation values of a few chosen variables are significant when compared to all other variables in the current study. Highly significant correlations were found between PR, SA, SI, and UA with FACC. Governmental policies and effective monitoring systems will be developed as a result of the research to enable integrated and sustainable water development.
这项研究在一个重要的农业地区进行，旨在评估农民对气候变化适应策略的了解。我们采用了基于文献的半结构化问卷；问卷分为几个部分，并使用了某些统计技术（PLS-SEM）来检验结果。拥有足够资产和资源的农民认为自己更安全，能够承受气候变化的不利影响。共收集了 900 份完整的问卷，以调查未来控制变量、调节变量和因变量之间的关系。因此，PLS-SEM 路径分析结果表明我们的模型是合适的。PLS-SEM 直接路径分析表明，AM > FACC、UA > FACC、SA > FACC、FS > FACC、PR > FACC 和 SI > FACC 具有显著意义。这些发现加强了假设 H1-H6。我们还检查了受访者的年龄和性别作为控制变量；虽然性别与 FACC 没有相关性，但年龄与因变量之间存在很强的相关性。性别与气候变化意识之间没有统计学上的显著相关性，但老年人往往对这个主题及其后果有更广泛的了解。教育显著调节了农民意识（气候变化）与 AM、UA、SA、FS、PR 和 SI 相关的关系。图描绘了教育对 AMEducation-FACC、UAEducation-FACC、SAEducation-FACC、FSEducation-FACC、PREducation-FACC 和 SIEducation-FACC 之间关系的调节作用。本研究中的 H2a 和 H5a 与教育作为调节变量表现出显著相关性；然而，H1a、H3a、H4 和 H6a 没有表现出任何调节关系。各因素之间存在中等到强相关，与本研究中的其他所有变量相比，少数选定变量的相关值具有显著意义。PR、SA、SI 和 UA 与 FACC 之间存在高度显著的相关性。研究结果将制定政府政策和有效的监测系统，以实现水资源的综合和可持续发展。
