The present study was conducted in one of the major agriculture areas to check farmers indigenous knowledge about the impacts of floods on their farming lives, food security, sustainable development, and risk assessment. In the current study, primary data was used to analyze the situation. A semi-structured questionnaire was distributed among farmers. We have collected a cross-sectional dataset and applied the PLS-SEM dual-stage hybrid model to test the proposed hypotheses and rank the social, economic, and technological factors according to their normalized importance. Results revealed that farmers’ knowledge associated with adaption strategies, food security, risk assessment, and livelihood assets are the most significant predictors. Farmers need to have sufficient knowledge about floods, and it can help them to adopt proper measurements. A PLS-SEM dual-stage hybrid model was used to check the relationship among all variables, which showed a significant relationship among DV, IV, and control variables. PLS-SEM direct path analysis revealed that AS (b = −0.155;p0.001), FS (b = 0.343;p0.001), LA (b = 0.273;p0.001), RA (b = 0.147;p0.006), and for FKF have statistically significant values of beta, while SD (b = −0.079NS) is not significant. These results offer support to hypotheses H1 through H4 and H5 being rejected. On the other hand, age does not have any relationship with farmers’ knowledge of floods. Our study results have important policy suggestions for governments and other stakeholders to consider in order to make useful policies for the ecosystem. The study will aid in the implementation of effective monitoring and public policies to promote integrated and sustainable development, as well as how to minimize the impacts of floods on farmers’ lives and save the ecosystem and food.

Introduction: Water is the basic need of human beings and there is no substitute for water. This research was conducted to analyze public willingness to use water from filtration plants installed by public own Organizations and which psychological factors may help them to decide to use safe water. Methods: There ought to be some nudges in the right direction to encourage people to use water filters. A questionnaire was adopted from the literature for this research. PLS-SEM is used to evaluate data to check the connection among variables since it is the most recommended way for assessing and predicting explained variables to account for the largest latent variance, and PLS-SEM is one of the most effective approaches for predicting outcomes. Results: PLS-SEM direct path analysis revealed that hypotheses H1-H6 were accepted and the gender and levels of education of the respondents as control variables, gender and education showed insignificant relationships with WUFWFP. Age showed a substantial relationship as a moderator variable between WQK*Age, and HC*Age with a willingness to use filter water from filtration plants=WUFWFP, while the rest of the variables showed an insignificant relationship. Discussion: As per our results, H1a and H3a have a significant relationship as moderator variables between IV and DV, while H2a, H4a, H5a, and H6a did not show any relationship as moderator variables between IV and DV. Hence H1a and H3a were accepted while the rest of the moderator was rejected under this research. This study would be helpful for the decision-makers and planners to take proper sustainable measures to address the repercussions of urbanization and land use changes to protect the ecosystem.

The present study employs panel data of 29 provinces and municipalities in mainland China from 2003 to 2016 to empirically investigate the influence of international students on China’s outward FDI. The results show that international students in China can significantly promote outward FDI in various Chinese provinces. Moreover, we observe a substitution effect with export scale and wage level, that is, attracting international students can offset the negative impact of insufficient export scale and low wages on regional OFDI (outward foreign direct investment). From a regional perspective, the growth in international students’ inflows in China has a significant positive impact on OFDI of provinces along “the 21st Century Maritime Silk Road”, but has no significant impact on the provinces along “the Silk Road Economic Belt”. The above conclusions not only elaborate the regional distribution mechanism of OFDI in China, but also provide a reference for each province to formulate more favorable policies to attract foreign talent to effectively implement the strategy of “going global”.