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UNLOCKING OPPORTUNITY: EXAMINING THE RELATIONSHIP BETWEEN REMITTANCES AND PRIVATE SCHOOL ENROLLMENT IN NEPAL Acharya, Bisna; Kharel, Khom Raj; Poudel, Omkar; Upadhyaya, Yadav Mani; Sigdel, Surya
Oikos Nomos: Jurnal Kajian Ekonomi dan Bisnis Vol 17, No 1 (2024): Juni 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jkeb.v17i1.26221

Abstract

This study aims to examine the complex relationship between remittances and school enrollment. This quantitative study used descriptive and analytical research methodologies, including ARDL. This study examines the pros and cons of remittance inflows on education using empirical data and theoretical frameworks. This method considers home income, economic inequality, school availability, and long-term educational success. This model analyzes factors affecting basic private school enrollment. The negative and statistically significant coefficients (-0.269 -0.475) for lagged private enrolment show crowding-out. The private enrolment may decline after two and one-year rises. One probable explanation is increased cost competition among private schools or a shift in student preference toward government schools. LNPG and lagged LNPG (-1) coefficients are not statistically significant. This model cannot prove that population growth, whether immediate or delayed, directly affects private school enrollment. This study helps to create targeted interventions and strategies for equitable and sustainable educational advancement in Nepal.
Mathematical Analysis of the Impact of Climate Factors and Agricultural Practices on Rice Yield in Nepal: A Time Series Data Analysis Poudel, Omkar; Kumar, Nand Kishor; Acharya, Pradeep; Sharma, Deep Raj; Sahani, Suresh Kumar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i2.5725

Abstract

Rice is a staple food and a crucial element of Nepal’s agrarian economy; however, its yield is significantly affected by climatic factors such as rainfall and temperature, as well as agricultural practices like pesticide use. Understanding these dynamics is essential for sustaining productivity in the face of climate change. This study employs an Autoregressive Distributed Lag (ARDL) model to analyze 33 years of time-series data (1990–2022), focusing on key variables including rice yield, temperature, rainfall, and pesticide use, all derived from secondary data sources. Diagnostic tests confirmed normality (????=0.06), absence of serial correlation (????=0.58), and homoscedasticity (????=0.68), with stability validated through CUSUM and CUSUMSQ tests. The results indicate that temperature has a significant positive long-term impact on rice yield (????=2181.48, ????<0.05), suggesting that moderate warming can enhance productivity. Rainfall exerts a marginal positive effect (????=5.10, ????=0.05), while pesticide use shows a strong correlation with yield (????=17.70, ????<0.01). The Granger Causality Test identifies temperature (????=7.76, ????<0.01) and pesticide use (????=11.25, ????<0.01) as critical predictors of rice yield. These findings demonstrate that while temperature and pesticide use significantly affect rice yield, the impact of rainfall is diminished due to effective irrigation systems. Nevertheless, the heavy reliance on pesticides raises sustainability concerns, underscoring the necessity for integrated pest management and environmental safeguards. This study advocates for the adoption of climate-smart agricultural practices, enhancement of irrigation infrastructure, and promotion of sustainable pesticide management, offering actionable insights for policymakers to devise adaptive strategies that bolster resilience and productivity in Nepal’s rice sector.