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PurposeFinancial inclusion and digital finance go side by side and help enhance agricultural activities; however, the magnitude of digital financial services varies across countries. In line with this argument, this study aims to examine whether financial inclusion enhances agricultural participation and decompose the significance of the difference in determinants of agricultural participation between financially included – not financially included households and digital finance – no digital finance households.Design/methodology/approachThis study uses Pakistan’s household integrated economic survey 2018/19 to test hypotheses. The logit model is used to examine the effect of financial inclusion on agriculture participation. Moreover, this study employs a nonlinear Fairlie Oaxaca Blinder technique to investigate the difference in determinants of agricultural participation.FindingsThis study reports that financial inclusion positively influences agricultural participation, meaning households may have access to financial services and participate in agricultural activities. The results suggest that the likelihood of participating in agriculture in households with mobiles and smartphones is higher. Moreover, household size, income, age, gender, education, urban, remittances from abroad, fertilizer, pesticides, wheat, cotton, sugarcane, fruits and vegetables are the significant determinants of agricultural participation. To distinguish the financially included – not financially included households’ gap, this study employs a nonlinear Fairlie Oaxaca Blinder decomposition and finds that differences in fertilizer explain the substantial gap in agricultural participation. Likewise, this study tests the digital finance – no digital finance gap and finds that the difference in fertilizer is a significant contributor, describing a considerable gap in agricultural participation.Research limitations/implicationsEmpirically identified that various factors cause agricultural participation including financial inclusion and digital finance. Regarding the research limitation, this study only considers a developing country to analyze the findings. However, for future research, scholars may consider some other countries to compare the results and identify their differences.Practical implicationsThe accessibility of fertilizer can reduce the agricultural participation gap. However, increased income level, education and cotton and sugar production can also overcome the differences in agriculture participation between digital finance and no digital finance households.Originality/valueThis is the first study to decompose the difference in determinants of agricultural participation between financially and not financially included households.
PurposeFinancial inclusion and digital finance go side by side and help enhance agricultural activities; however, the magnitude of digital financial services varies across countries. In line with this argument, this study aims to examine whether financial inclusion enhances agricultural participation and decompose the significance of the difference in determinants of agricultural participation between financially included – not financially included households and digital finance – no digital finance households.Design/methodology/approachThis study uses Pakistan’s household integrated economic survey 2018/19 to test hypotheses. The logit model is used to examine the effect of financial inclusion on agriculture participation. Moreover, this study employs a nonlinear Fairlie Oaxaca Blinder technique to investigate the difference in determinants of agricultural participation.FindingsThis study reports that financial inclusion positively influences agricultural participation, meaning households may have access to financial services and participate in agricultural activities. The results suggest that the likelihood of participating in agriculture in households with mobiles and smartphones is higher. Moreover, household size, income, age, gender, education, urban, remittances from abroad, fertilizer, pesticides, wheat, cotton, sugarcane, fruits and vegetables are the significant determinants of agricultural participation. To distinguish the financially included – not financially included households’ gap, this study employs a nonlinear Fairlie Oaxaca Blinder decomposition and finds that differences in fertilizer explain the substantial gap in agricultural participation. Likewise, this study tests the digital finance – no digital finance gap and finds that the difference in fertilizer is a significant contributor, describing a considerable gap in agricultural participation.Research limitations/implicationsEmpirically identified that various factors cause agricultural participation including financial inclusion and digital finance. Regarding the research limitation, this study only considers a developing country to analyze the findings. However, for future research, scholars may consider some other countries to compare the results and identify their differences.Practical implicationsThe accessibility of fertilizer can reduce the agricultural participation gap. However, increased income level, education and cotton and sugar production can also overcome the differences in agriculture participation between digital finance and no digital finance households.Originality/valueThis is the first study to decompose the difference in determinants of agricultural participation between financially and not financially included households.
This paper investigated the wealth puzzle by examining the relationships among personal finance (PF), expenditure behavior (EB), and financial management (FM). Data from a diverse sample of 2000 individuals across regions such as Kosovo, Ghana, Kenya, Nigeria, Turkey, Pakistan, Nepal, Uganda, Cameroon, Ethiopia, India, Indonesia, Albania, Oman, and Egypt were collected through an online questionnaire from 2023 to 2024, and processed through exploratory and confirmatory factor analyses using AMOS and SPSS programs. Results revealed the robust relationships among PF, EB, and FM, indicating their resilience and strong internal consistency, and underscoring their pivotal role in shaping individuals’ financial stability and well-being. Notably, EB emerged as a crucial determinant, highlighting the importance of aligning spending habits with family priorities, moderating excesses, and consistently reviewing for improvements. Moreover, critical variables within PF and FM underscored the necessity for strategic financial planning, efficient spending optimization, and the cultivation of resilience against unforeseen financial obstacles. This research has significantly advanced the understanding of wealth dynamics and provided practical insights for policymakers and educators to design targeted financial education initiatives that can improve financial well-being and long-term prosperity. Future research should concentrate on understanding underlying mechanisms and assessing intervention effectiveness across more variables and countries.
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