Jurnal Perspektif Pembiayaan dan Pembangunan Daerah
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The impact of final demand on energy sectors' interregional output
Get PDFThis study investigates the influence of aggregate demand on the interregional energy sector in Indonesia, aiming to ascertain whether the proximity of regions impacts the demand within the energy sector. Utilizing data from the Input-Output Indonesia Interregional Table, this research encompasses six regions: Sumatra, Java, Bali & Nusa Tenggara, Kalimantan, Sulawesi, and Maluku & Papua. The energy sectors analyzed include oil, gas & geothermal mining, coal & lignite mining, coal industry & oil, gas refinery, and electricity and gas procurement & ice production. Findings indicate that the electricity sector exhibits relatively high sensitivity and dispersion power indices, whereas the gas procurement & ice production sectors display low sensitivity and dispersion power indices. Exports are identified as the primary contributors to the Oil, Gas, & Geothermal Mining and Coal & Lignite Mining sectors. Conversely, household consumption has the most significant impact on the other sectors. Crucially, the study reveals that the effect of a region's final demand on the output of another region is not directly correlated with geographical proximity. This insight leads to the recommendation that energy supply procurement policies should consider other regions' demands and economic developments, particularly those substantially influencing output enhancement
Exploring the determinants of NEET youth in Jambi Province: A socioeconomic perspective
Get PDFThis study aims to analyze: 1) the socioeconomic characteristics and NEET (Not in employment, education, or training) status of young individuals in Jambi Province; 2) the determinants influencing the NEET status of young people in Jambi Province. The data utilized in this study is derived from a survey conducted in four sample villages within Jambi Province, consisting of 200 young participants. Descriptive statistical tools, single-frequency and cross-frequency tables, and binary logit regression are employed for analysis. The findings of the study reveal that: 1) NEET youth, when compared to non-NEET youth, tend to be older, have a higher proportion of females, possess higher education levels, are more likely to be married, are predominantly non-migrants, and have fewer siblings or step-siblings; 2) The parents of NEET youth, in comparison to non-NEET youth, generally have higher incomes and predominantly belong to non-Malay ethnicities in Jambi. 3) Factors significantly impacting the categorization of youth as NEET include gender, education, marital status, and parental income
Assessing food security post-earthquake in Majene, Indonesia: An analysis of food availability, consumption patterns, and dietary quality
Get PDFThis study examines food security in Majene, West Sulawesi, following the 2021 earthquake, focusing on food availability, consumption, and dietary patterns. The research utilizes a descriptive qualitative approach and relies on secondary data from the Food Security Service Office of the Majene Regency. The data are supplemented by information from the Central Statistics Agency and interviews with informants. The findings reveal that the primary nutritional parameters—energy, protein, and fat—are adequately met. The availability of energy from vegetable sources exceeds the recommended 984 kcal/capita/day. Protein availability, mainly from animal sources, meets the 63 grams/capita/day guideline. Fat availability, primarily from vegetable fats, also aligns with the recommended 72.17 grams/capita/day. During the earthquake, food supplies, which included 11 staple types, were sufficient, evidenced by available quantities surpassing consumption levels. For instance, rice availability stood at 29,277 tons against a consumption level of 20,084.70 tons. The study also assesses dietary patterns, finding that grains, oils, fats, oily fruits/seeds, sugars, and vegetables meet desirable dietary scores, while tubers, animal products, and legumes fall short
How accurate is the CAPM approach compared to the Reward Beta for shares of manufacturing and mining companies in Indonesia's LQ45 Index?
Get PDFThis study evaluates the efficacy of the Capital Asset Pricing Model (CAPM) and Beta Reward Model in forecasting stock returns of companies within the manufacturing and mining sectors listed on Indonesia's LQ45 index. Utilizing monthly closing stock prices from January 2010 to December 2019, the research focuses on ten companies—five from each sector—that consistently appeared in the index throughout the study period.
The analysis involves a classic assumption test followed by regression analysis for each company. Key performance indicators, including R-squared, Root Mean Square Error (RMSE), and Mean Absolute Error (MAE), are employed to compare the predictive capabilities of the CAPM and Beta Reward Model. The findings indicate a systematic and superior performance of the Beta Reward Model over the CAPM in predicting stock returns in the Indonesian context. This study contributes to the existing literature on stock return prediction models and provides practical insights for investors and financial analysts in Indonesia
Evaluating the maturity level of public service agency at Jambi University: Analysis and recommendations for enhancing public services
Get PDFThis study evaluates the maturity level of the Public Service Agency (BLU) at Jambi University (UNJA). The research uses descriptive analysis based on the BLU Maturity Rating worksheet to assess various aspects, including financial management, service quality, internal capabilities, governance, innovation, and environmental impact. The findings reveal that UNJA's BLU has achieved an overall maturity level 3.71. Internal capabilities scored the highest at level 5, while environmental aspects lagged at level 3. Recommendations are provided to enhance business ethics, risk management, and resource usage, improving the institution's maturity level and overall performance. These improvements are crucial for achieving a higher maturity level, ensuring better service quality, and promoting sustainable development within the institution
Women's entrepreneurial competence within a patriarchal social system
Get PDFWomen in patriarchal social systems face various challenges that affect their economic access and hinder their empowerment. This research aims to identify the competencies required by women to thrive within a patriarchal social system, reduce gender disparities, and promote empowerment in various aspects of life. This research utilized secondary data from the Scopus database and applied a document study method. Keywords used for the search included "women competence," "women skills," "women entrepreneur skills," "entrepreneurial competencies," and "entrepreneur competence." After filtering, 31 articles were selected for analysis. The analysis used the Miles and Huberman model, including reduction, data analysis, and conclusion. The findings indicate that to address the challenges of patriarchy and achieve empowerment, women need to develop multidimensional competencies involving entrepreneurial skills, commitment, high-level conceptual abilities, recognition of opportunities, organization, relationships, strategic thinking, and marketing. The challenges of norms and gender expectations in patriarchal societies become obstacles that need to be overcome by educating the community about the vital role of women and the competencies required in SMEs (Small and Medium Enterprises). Innovation, creativity, and innovative marketing strategies are key to success, while support and networks from stakeholders can provide valuable boosts
Analysis of technical efficiency and socio-economic factors influencing the development of smallholder oil palm plantations in Batanghari Regency, Indonesia
Get PDFThis study aims to analyze technical efficiency and the influence of socio-economic factors on the development of smallholder oil palm plantations. Data were collected using the Simple Random Sampling method, utilizing both primary and secondary data. The analytical methods employed include descriptive analysis and the Stochastic Frontier Production Function with the Maximum Likelihood Estimation (MLE) method. The results reveal that the average size of oil palm plantations is 3.9 hectares per farmer, with a productivity rate of 13,853 kg/ha. Production factors such as land area, NPK fertilizer, urea, and dolomite fertilizer significantly influence production, whereas labor and herbicides show no significant effects. The technical efficiency levels range from 0.81 to 0.95, with an average of 0.86, which is greater than the threshold of 0.62, indicating that oil palm plantations operate at a technically efficient level. Socio-economic factors, including land area and plantation distance, potentially increase technical inefficiency but have no statistically significant effect. Conversely, variables such as farming experience, access to technology, and active participation in farmer groups help reduce technical inefficiency. To promote the development of smallholder oil palm plantations, it is crucial to focus on enhancing technical efficiency, as it directly impacts productivity. Additionally, consideration of farmers' socio-economic conditions and external factors such as market prices and environmental conditions is essential
Determinants of health expenditures: income level countries analysis
Get PDFA global health phenomenon, in particular, there is a significant difference between health spending in developed and developing countries. This study focuses on modeling health expenditures in short-term and long-term schemes in three categories of countries: low-income countries, moderate-income, and high income from 2000 to 2019. The health expenditure scheme is analyzed using the panel data regression approach as a model of determinants of health expenditures. The results showed relatively significant differences between the determinants of health expenditure variables, including populations variable in low-middle-income countries. The positive and significant influences on middle-income countries, whereas high-income countries have a negative and significant influence. As for the overall GDP variable, low-income, lower-middle, and advanced countries negatively and significantly influence health care. For middle-income countries have a positive and significant influence on health spending
How liquidity, profitability, and leverage ratios influence financial distress: A study on Indonesian mining firms
Get PDFThis study investigates the impact of liquidity, profitability, and leverage ratios on financial distress in mining companies listed on the Indonesia Stock Exchange. It posits that higher liquidity in a company correlates with reduced financial distress. The research encompasses eight mining companies observed from 2016 to 2020. Purposive sampling was employed to select a sample of eight companies meeting specific criteria. The study utilizes multiple linear regression analysis as its analytical approach. The findings, significant at the 5% level, reveal that liquidity, profitability, and leverage ratios collectively exert a substantial influence on financial distress, accounting for 85.3% of the variance in the dependent variable. Specifically, the study concludes that: 1) Liquidity has a significant negative effect on financial distress, 2) Profitability also demonstrates a significant negative impact on financial distress, and 3) Leverage exhibits a significant positive effect on financial distress
Islamic bank efficiency: an efficiency method with SFA
Get PDFJudging from the financial ratios, the performance of Islamic banking in Indonesia was remarkably stable both before and during the Covid-19 pandemic. However, another thing is whether this condition could make Islamic banks continue to work effectively. This study aimed to measure the cost efficiency of Islamic commercial banks in Indonesia quarter I of 2019 – quarter IV of 2020 and analyze the influencing factors in cost efficiency. The study used a saturated sampling technique with a total sample of 14 Islamic commercial banks, while the efficiency level was determined using the Stochastic Frontier Analysis (SFA) method. It turns out that PT. Bank Muamalat Indonesia Tbk. has the highest efficiency value of 0.9284. Several banks with an efficiency value of more than 0.5 are PT. Bank Aceh Syariah, PT. Bank BNI Syariah, and PT. Bank Mega Syariah. In this study, only inflation variables affect efficiency. In contrast, bank size, Return on Assets (ROA), Net Operating Margin (NOM), Non-Performing Financing (NPF), Financing to Deposit Ratio (FDR) variables, Capital Adequacy Ratio (CAR), Gross Domestic Product (GDP), and the rupiah exchange rate don’t affect the efficiency. Overall, all the company's internal variables and environmental variables affect efficiency