Jurnal Perspektif Pembiayaan dan Pembangunan Daerah
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Can fiscal transfers effectively reduce poverty in the Gorontalo Province?
The central government has increasingly diversified and expanded fiscal transfers to local authorities to enhance community welfare rapidly. However, in Gorontalo, although poverty rates have declined, the pace of reduction has slowed despite an increase in the value of transfers. This study aims to identify the fiscal transfer mechanisms most effective in reducing Gorontalo's poverty rate. It focuses on several types of fiscal transfers, including the Special Allocation Fund (DAK), Village Fund Allocation (ADD), Family Hope Program (Program Keluarga Harapan, PKH), Smart Indonesia Program (Program Indonesis Pintar, PIP), and Social Assistance. Utilizing panel data regression analysis covering all six districts/cities in Gorontalo Province over the last five years (2018-2022) and employing the Fixed Effects Model (FEM), the findings suggest that PIP assistance has the most significant impact on poverty reduction, although its effects are more long-term. Moreover, the study finds that while ADD transfers notably enhance community welfare, the two-decade-long DAK transfers have inadvertently worsened poverty levels in Gorontalo. This issue stems from the DAK's allocation formula, which does not directly target the income improvement of low-income populations. Both PKH and Social Assistance have shown little positive effect on poverty alleviation in the region. Consequently, the study recommends that the government prioritize expanding and funding enhancement of PIP assistance, considering many underprivileged individuals remain unreached by this support. Additionally, it suggests increasing the ADD to accelerate development in poverty-stricken rural areas
Comparative analysis of entrepreneurial intentions among generations in Jambi Province: A study of Gen Bust, Millennials, and iGeneration
In the face of intense global competition, such as the introduction of the ASEAN Economic Community (AEC), the Indonesian workforce must transition from merely seeking employment to creating job opportunities. In this regard, cultivating an entrepreneurial spirit is a strategic alternative to bolster employment prospects and stimulate innovation. This study was carried out in the province of Jambi with the primary objectives of: 1) analyzing the characteristics and entrepreneurial intentions across different generations in Jambi; 2) examining the factors that influence these entrepreneurial intentions. The research compares three generations—Generation Bust (Gen Bust), Millennials, and the iGeneration—all within the productive age bracket and possesses substantial potential to drive development. The research methodology entailed collecting data through surveys administered to individuals from Gen Bust, Millennials, and the iGeneration in Jambi. The data was analyzed using descriptive statistical tools and the Structural Equation Modeling (SEM) technique. The findings reveal notable differences in entrepreneurial intentions among the generations, with Gen Bust and Millennials exhibiting stronger entrepreneurial intentions than iGeneration. Influential factors for these entrepreneurial intentions include attitudinal and contextual elements such as academic, social, and environmental support. Although individual characteristics vary among the generations, they do not consistently exert a direct and significant impact on entrepreneurial intentions, particularly for iGeneration. This research offers crucial insights into how specific factors affect entrepreneurial intentions across different generations, which can assist in developing strategies and policies to foster entrepreneurship in Jambi, especially in light of global and regional economic challenges
Towards inclusive green growth: a holistic analysis of sustainable development goals in the agritourism sector of Jambi Province
This research aims to measure the extent of inclusive green growth in Jambi Province by considering the components of the Inclusive Green Growth Index that contribute to the potential of agrotourism and sustainable growth. It seeks to identify and analyze tourism potentials that can be leveraged to support inclusive green growth in various districts of Jambi Province. Additionally, the study aims to formulate strategies applicable to tourism villages in Jambi Province to realize agrotourism areas focused on improving the well-being of communities and the environment. This research employs both quantitative and descriptive qualitative methodologies. Data sources include primary and secondary data collected through interviews, observations, literature studies, and documentation. Informants were selected using purposive sampling, covering three regencies in Jambi Province: mountainous areas in Merangin Regency, non-mountainous and non-marine areas in Muaro Jambi Regency, and marine areas in Tanjung Jabung Timur Regency. The results indicate that Jambi Province has not yet achieved green inclusivity, with an Inclusive Green Growth Index value of 3.191. The study identifies several sample areas with green development potential, including Rantau Kermas Village in Merangin Regency, Tangkit Baru Village in Muaro Jambi Regency, and Kuala Simbur Village in Tanjung Jabung Timur Regency. Key findings include the green potential of tourism and plantations, dance arts, micro-hydropower plants (PLTMH), electricity, awards, funding, fishermen, locations, culinary, mangrove forests, customary forests, and marine products. Strategies to realize agrotourism areas based on improving community well-being and the environment include strengthening organizations, enhancing the quality of human resources, developing infrastructure, funding programs, applying customary law sustainability, offering tour packages, forming customary forest management groups, conducting research and development, implementing disaster mitigation measures, promoting tourism, and initiating the adopt-a-tree program
Public expenditure and performance of the agricultural sector: evidence from Sri Lanka
This study investigates the influence of agricultural public expenditure on the performance of Sri Lanka's agriculture sector. Utilizing data sourced from the annual reports of the Ministry of Finance spanning 2011 to 2022, the findings reveal a significant and positive correlation between the recurrent expenditure of the Department of Agriculture (DoA) and the gross domestic production of the agriculture sector (p < 0.01). However, no statistical evidence supports a significant relationship between the Ministry of Agriculture's (MoA) capital expenditure and DoA and the performance of the agriculture sector. These results underscore the pivotal role of public recurrent agricultural expenditure in bolstering the agriculture sector's performance. Particularly noteworthy is the significant impact of DoA's recurrent expenditure on sectoral performance. The study advocates for increased budget allocation towards recurrent expenditure within the agriculture sector, especially emphasizing the importance of augmenting the DoA's recurrent expenditure to ensure enhanced performance and sustainability. Ultimately, the study underscores the critical importance of effective and efficient management of public funds in driving the agriculture sector's performance
Deciphering the dynamics of financing choices in Indonesian micro-industries: An empirical analysis of internal and external sources
This study analyzes micro-industry characteristics influencing their choice between internal (own capital) and external financing sources (venture capital, banks, and others). A sample size of 83,616, derived from the BPS Survey, was employed for this purpose. Logistic regression analysis was utilized to address the research questions. The findings suggest that own capital financing predominantly supports micro-industries that are small in scale, possess a low business entity status, have mature owner age, have owners with higher educational backgrounds, and exhibit minimal innovation. Conversely, venture capital financing is more inclined towards larger micro-industries with increasing maturity and more innovations. Bank financing is typically allocated to younger micro-industries with higher business entity status, younger owners, lower income, and those incorporating internet usage. Other forms of capital financing are more likely to be selected by micro-industries with owners who have a lower educational background. The characteristics of micro-industries significantly enhance the probability of opting for bank financing. The educational background of the owner is a critical factor in choosing one's own capital and venture capital financing. In contrast, the size of the micro-industry plays a pivotal role in selecting bank and other capital financing
The impact of credit risk on market discipline: Exploring the moderating role of corporate governance through Generalized Method of Moments (GMM) analysis in banking companies
High credit risk poses a significant threat to banks, underscoring the necessity to examine the effectiveness of good corporate governance in mitigating such risks. This study aims to assess the impact of credit risk, represented by non-performing loans (NPLs), on market discipline, reflected through deposit growth, and the moderating role of good corporate governance, focusing on board size and institutional ownership, in this dynamic. Data for the study were sourced from the financial reports of banking companies on their official websites, IDN Financial, and the Indonesia Stock Exchange. The study used a purposive sampling method to analyze a sample comprising 30 banking companies and yielded 300 observations. The research methodology involved dynamic panel regression analysis using the Generalized Method of Moments (GMM) technique. The findings reveal that non-performing loans negatively impact deposit growth. However, it was also found that board size and institutional ownership could positively moderate the adverse effects of non-performing loans on deposit growth. This suggests that market discipline, manifesting as a reduction in deposits and an escalation in credit risk within the Indonesian banking sector, can be effectively managed and mitigated through the strategic implementation of good corporate governance practices, particularly by optimizing board size and enhancing institutional ownership. These mechanisms enable more robust market discipline, contributing to better credit risk management and promoting healthier deposit growth
The influence of financial development on total fertility rate in Indonesia
This study investigated the impact of financial development on the total fertility rate in Indonesia, hypothesizing that financial development significantly influences fertility rates. The objective was to ascertain the effects of financial development on Indonesia's total fertility rate, utilizing annual time series data from 1980 to 2021 obtained from the official websites of Bank Indonesia, the Central Bureau of Statistics, and the World Bank. The analysis employed the Autoregressive Distributed Lag (ARDL) method to examine the influence of the money supply in circulation (M2), Gross Domestic Product, and household consumption on the total fertility rate, with these variables serving as proxies for financial development. The study utilized a comprehensive data analysis approach, including stationary tests, cointegration bound tests, ARDL Model analysis for long-term and short-term effects, and classical assumption tests. The findings revealed that the money supply (M2) has a negative and significant impact on the total fertility rate, the Gross Domestic Product also negatively and significantly affects the total fertility rate, while household consumption positively and significantly influences the total fertility rate. These results underscore the multifaceted relationship between financial development and fertility trends in Indonesia
Digital-based performance model for the Arabica Coffee supply chain: A case study of the Koerintji Barokah Bersama Cooperative in Kerinci, Indonesia
This study examines the performance model of the Arabica coffee supply chain managed by the Koerintji Barokah Bersama Cooperative, emphasizing the integration of supply chain management (SCM), social capital (SC), and information technology (IT) to enhance efficiency, transparency, and competitiveness. Using a mixed-methods approach involving descriptive analysis and Structural Equation Modeling (SEM), the study explores the current state of SCM, SC, and IT, evaluates supply chain performance, and develops a comprehensive performance model. The findings indicate that SCM, SC, and IT significantly influence supply chain performance, with IT and SC playing crucial mediating roles. The cooperative demonstrated strengths in reliability, flexibility, and utility, though cost management requires further improvement. The proposed model validates that a collaborative and digital approach can improve operational efficiency, stakeholder coordination, and market adaptability. The study highlights the need for stronger SCM coordination, enhanced SC through trust and collaboration, and greater IT adoption for real-time monitoring and data-driven decision-making. Despite its robust methodology, limitations include a localized focus and exclusion of broader external factors like global market trends and climate change. Future research should explore advanced technologies such as IoT, AI, and Big Data Analytics and assess long-term performance across diverse regions and market contexts to ensure sustainability and global competitiveness
The role of bank and startup fintech P2P lending in supporting financial credit for Indonesian farmers
One of the challenges faced by farmers is securing capital for the development of their agricultural businesses. Banks and peer-to-peer (P2P) lending fintech startups employ various business models to assist farmers in obtaining the necessary capital. This study investigates the credit financing schemes available to farmers through banks and P2P lending fintech startups. The research, which utilized a qualitative approach, involved collecting both primary and secondary data. Primary data were gathered through comprehensive interviews with two academic experts in the agricultural business sector and five leaders of agri-tech startup companies. Secondary data included: (1) annual financial reports from BRI, Mandiri, and BNI; (2) statistical reports on P2P lending providers from the Financial Services Authority (OJK); and (3) models of financing schemes for farmers derived from a range of empirical sources. A descriptive analysis was subsequently conducted to explore the various financing schemes available to farmers through banks and P2P lending fintech startups, as well as to assess the performance of these financing programs via data on the rate of non-performing loans (NPLs). The findings indicate that the financing schemes implemented by banks predominantly focus on economic factors to facilitate loan repayment. In contrast, P2P lending fintech startup schemes emphasize both economic and social aspects, including enhancing farmers' knowledge in implementing Good Agricultural Practices (GAP) and improving financial literacy, aiming to ensure smooth loan repayments. Furthermore, the study observed an increase in the value of Non-Performing Loans (NPL) among both banks and P2P lending fintech startups during the Covid-19 pandemic
Assessing the impact of oil rent on living standards in Nigeria: Evidence from an ARDL Model
Some countries are naturally endowed with abundant natural resources, which serve as a significant source of government revenue for national development. Conversely, other countries lacking such resources rely on alternative means to generate income for their developmental efforts. The disparity in development and living standards among nations, however, cannot be attributed solely to the unequal distribution of natural resources but rather to the effectiveness and efficiency with which resource revenues are utilized. This study examines the effect of oil rents on living standards in Nigeria using the Autoregressive Distributed Lag (ARDL) model. The findings reveal a positive long-run relationship between Living Standard (LS), Oil Rent (OR), and Gross Domestic Product (GDP), while a negative relationship is observed with Oil Price (OP) and Exchange Rate (ER). However, these relationships are found to be statistically insignificant. In the short run, the results show a negative and statistically significant relationship between living standards and the variables of Oil Rent, Oil Price, GDP, and Exchange Rate. These findings highlight the complex dynamics between oil rents and living standards, particularly in the context of short-run economic fluctuations. In light of these results, the study recommends that the government prioritize making all refineries operational to meet domestic fuel demand and reduce the costs associated with fuel importation, which consumes a substantial portion of the country's earnings from oil exports. Furthermore, revenues from oil exports should be channeled into productive projects that directly improve the living standards of citizens, such as investments in infrastructure, healthcare, and education. These measures are essential for ensuring that the wealth generated from natural resources translates into sustainable development and improved quality of life for the populace