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The problem of increasing farmers’ income has been a hot issue of social concern. Understanding the farmers’ income and the overall development trend is conducive to the rational layout of the social economy and promotes the steady development of a well-off society. Based on this, the paper selects the per capita disposable income (PCDI) of farmers’ households from 2012 to 2019 in 11 cities of Hebei Province as the research object and applies the fractional grey model (FGM (1,1)) to predict farmers’ income from 2020 to 2024. The results show that the farmers’ income will increase in the next five years. However, the growth rate of farmers’ income is slow in the areas with a large base of farmers’ income and strong in the areas with a small base of farmers’ income. The area with the highest trend in the growth rate of farmers’ income is Zhangjiakou and the lowest place is Handan. Only Shijiazhuang’s income growth rate is on the rise. Finally, suggestions are given to promote farmers’ income in Hebei Province.

Purpose: Decision-making process about financial investment is complicated. Relying on modern financial theory to explain behaviours of individual investors is inadequate because it focuses on the objective risk as the determinant for making investment decisions under the assumption that individuals are rational. The current study, which was built from the financial, sociological and psychological perspectives, investigated the predictors of risk perception and determined the association of risk perception and attitude toward financial investment intention. This study served the purpose of unravelling the complexity of the financial investment decision-making process among individuals. Design/methodology/approach: The research framework was based on Perception Formation Model (PFM) with further support from the Theory of Planned Behaviour, decision making models under risk, and knowledge-attitudebehaviour model. Purposive-sampling method was adopted. The dataset, which consisted a total of 492 responses from income earners below the age of prime savings years were entered for analysis. Twelve hypotheses were tested using the Analysis of Moment Structures (AMOS) statistical software. Findings: Measurement-model assessment revealed the data fitted well to the research model Results from the structural-model assessment revealed subjective knowledge, peer influence, internet influence, and risk propensity had a significant relationship with favourable risk perception. Consistent with the PFM proposition, it was found favourable risk perception significantly related to higher intention toward financial investment. Research limitations/implications: The resultant outcomes strengthen the understanding of how financial investment decision is performed by individuals, which is crucial in the personal-finance industry, especially in promoting a long-term and meaningful client-advisor relationship. Interestingly, objective knowledge, which measured the actual level of financial knowledge was found to be insignificantly associated with risk perception and intention toward financial investment. As a sizeable financial literature posited financial knowledge has impact on decision-making process, future study could perhaps examine whether objective knowledge could contextually alter the relationship between predictors and the endogenous variable. Originality/value: The study has successfully identified several predictors for risk perception about financial investment and provided an empirical link for knowledge-perception-attitude-intention, thus, enriching the behavioural finance literature. The research model was robust as it was formulated based on the three major pillars of behavioral finance, namely: financial, sociological, and psychological perspectives.

The inflows of foreign direct investment (FDI) are important for a country's economic development, but the world market for FDI has become more competitive. This paper empirically analyses the exchange rate movements and foreign direct investment (FDI) relationship using annual data on ASEAN economies, that is, Malaysia, the Philippines, Thailand, and Singapore. By employing ARDL bounds test approach, the empirical results show the existence of significant long-run cointegration between exchange rate and FDI for the case of Singapore, Malaysia, and the Philippines with all countries recording negative coefficient implying that the appreciation of Singapore dollar, Malaysian ringgit, and the Philippine peso has a positive impact on FDI inflows. Using the ECM based ARDL approach for causality test, both Singapore and the Philippines show long-run bidirectional causality between exchange rate and FDI whereas long-run unidirectional causality running from the exchange rate to FDI in Malaysia. Furthermore, this study also found that short-run unidirectional causality running from the exchange rate to FDI exists in Singapore.