Economic Sectors Research Articles

Building A Sharia Entrepreneurial Ecosystem Through Halal Value Chain for MSMEs

Independent entrepreneurs promise certain material benefits if the entrepreneur succeeds in running the business. Sharia business and economic patterns are still a big challenge and opportunity to be implemented in Indonesia. Creating a sharia-based entrepreneurial ecosystem is very important for MSME players to be aware of so that they can optimize the business they run according to Islamic law and God's provisions. This halal value chain is a sharia economic sector that plays an important role in economic progress in Indonesia. However, for Indonesia, halal is an economic potential that has not been exploited optimally. One thing that supports building a sharia entrepreneurial ecosystem and is able to increase sales value is by carrying out halal certification on the products it makes. The Community-Based Empowerment Partner in this activity is UMKM Wijayakusuma Sejati assisted by Jatisawit Village Bumiayu Brebes. The aim of this service is (1) to provide partner knowledge in creating a sharia-based entrepreneurial ecosystem and mentality, (2) to provide production and marketing knowledge, (3) to provide business capital management competence, (4) to provide knowledge about production and marketing, management competence business capital, bookkeeping and preparation of financial reports, and (5) facilitating halal certification for Wijayakusuma Sejati MSME products. This training is needed for traders to create a sharia entrepreneurial mentality and halal certification based on the halal value chain so they are able to manage their business well, create a brand image for their products, and increase sales significantly.

Ecological-level factors associated with tuberculosis incidence and mortality: A systematic review and meta-analysis.

Globally, tuberculosis (TB) is the leading infectious cause of morbidity and mortality, with the risk of infection affected by both individual and ecological-level factors. While systematic reviews on individual-level factors exist, there are currently limited studies examining ecological-level factors associated with TB incidence and mortality. This study was conducted to identify ecological factors associated with TB incidence and mortality. A systematic search for analytical studies reporting ecological factors associated with TB incidence or mortality was conducted across electronic databases such as PubMed, Embase, Scopus, and Web of Science, from each database's inception to October 30, 2023. A narrative synthesis of evidence on factors associated with TB incidence and mortality from all included studies, alongside random-effects meta-analysis where applicable, estimated the effects of each factor on TB incidence. A total of 52 articles were included in the analysis, and one study analysed two outcomes, giving 53 studies. Narrative synthesis revealed predominantly positive associations between TB incidence and factors such as temperature (10/18 studies), precipitation (4/6), nitrogen dioxide (6/9), poverty (4/4), immigrant population (3/4), urban population (3/8), and male population (2/4). Conversely, air pressure (3/5), sunshine duration (3/8), altitude (2/4), gross domestic product (4/9), wealth index (2/8), and TB treatment success rate (2/2) mostly showed negative associations. Particulate matter (1/1), social deprivation (1/1), and population density (1/1) were positively associated with TB mortality, while household income (2/2) exhibited a negative association. In the meta-analysis, higher relative humidity (%) (relative risk (RR) = 1.45, 95%CI:1.12, 1.77), greater rainfall (mm) (RR = 1.56, 95%CI: 1.11, 2.02), elevated sulphur dioxide (μg m-3) (RR = 1.04, 95% CI:1.01, 1.08), increased fine particulate matter concentration (PM2.5) (μg/ m3) (RR = 1.33, 95% CI: 1.18, 1.49), and higher population density (people/km2) (RR = 1.01,95%CI:1.01-1.02) were associated with increased TB incidence. Conversely, higher average wind speed (m/s) (RR = 0.89, 95%CI: 0.82,0.96) was associated with decreased TB incidence. TB incidence and mortality rates were significantly associated with various climatic, socioeconomic, and air quality-related factors. Intersectoral collaboration across health, environment, housing, social welfare and economic sectors is imperative for developing integrated approaches that address the risk factors associated with TB incidence and mortality.

A Study on Illegal Wildlife Trade in Tanzania Based on Multi-source Data Fusion

This study on the illegal wildlife trade crisis in Tanzania is methodically divided into three phases: planning, policy, and application. Initially, data preprocessing methods such as null processing, interpolation, and max-min normalization were applied to construct a client impact assessment model utilizing AHP and hierarchical evaluation methods. WWF emerged as the most influential client. The policy phase introduced a comprehensive five-year strategy across economic, social, cultural, and environmental sectors. This strategy was supported by three quantitative models, which were used to evaluate the impact of the illegal wildlife trade. The economic model assessed the contribution to GDP growth from the integration of illegal trappers into the workforce. The social model applied crime economics to optimize time allocation under uncertainty. The cultural impact was measured through educational guidelines and a literacy score. Finally, environmental policies were analyzed by adjusting nature reserve areas and poaching difficulty parameter Z. In the application phase, Tanzania's National Forest Park was selected to serve as a pilot site for the models, with the projected outcomes including an increase in species richness and a reduction in poaching ease over a five-year period.

Transhumance in Southern Italy (Fifteenth-Sixteenth Centuries): The Mobility Perspective

This paper is an overview of sheep transhumance in southern Italy from the Aragonese reform of the 1440s to the eve of a second wave of reforms in the 1540s and 1550s. The analysis focuses on the concept of mobility, which proves to be a significant indicator of increasing interdependence between the factors involved in this complex economic activity (agriculturists, pastoralists, the state, the merchants, the market and local communities), leading to change in settlement patters, production arrangements, merchant networks, social identities, economic and political thought. The role of the state institution of the sheep custom house in coordinating the seasonal movement of sheep, graziers, officials and merchants, and in negotiating the multiple, overlapping claims of landlords, towns, the state itself and pastoralists on the same lands was pivotal in the long-term survival of this economic sector.

The Role of Cultural Heritage in The Development of Tourism and Some Cultural Industries in Vietnam

Many nations now view the cultural industry as a significant role in the country's cultural life and as a vital economic sector supporting sustainable development. Vietnam has an affluent cultural history with diverse cultural identities and is valuable in every way. The development of various cultural industries benefits greatly from the resources provided by cultural heritages. In order to elucidate the significance of cultural heritage in the growth of particular cultural industries, such as music, film, and cultural tourism, we employ synthetic analysis techniques and field research in this article. According to the research findings, cultural heritages are becoming important resources for the growth of cultural tourism, giving travellers motivation to travel, learn, and carry out research. Cultural heritage also provides resources and inspiration for music and film production, meeting the public's needs for cultural entertainment. The article makes inferences about the value of cultural heritage; development constraints, and potential solutions for preserving and enriching cultural heritage within the cultural industry. It also provides ways to improve human resources in the fields of music, film, and cultural tourism.

Optimizing the Learning Rate Hyperparameter for Hybrid BiLSTM-FFNN Model in a Tourism Recommendation System

Indonesia, with its abundant natural resources, is rich in captivating tourist attractions. Tourism, a vital economic sector, can be significantly influenced by digitalization through social media. However, the overwhelming amount of information available can confuse tourists when selecting suitable destinations. This research aims to develop a tourism recommendation system employing content-based filtering (CBF) and hybrid Bidirectional Long Short-Term Memory Feed-Forward Neural Network (BiLSTM-FFNN) model to assist tourists in making informed choices. The dataset comprises 9,504 rating matrices obtained from tweet data and reputable web sources. In various experiments, the hybrid BiLSTM-FFNN model demonstrated superior performance, achieving an accuracy of 93.36% following optimization with the Stochastic Gradient Descent (SGD) algorithm at a learning rate of about 0.193. The accuracy, after applying Synthetic Minority Over-sampling Technique (SMOTE) and fine-tuning the learning rate hyperparameter, showed a 14.3% improvement over the baseline model. This research contributes by developing a recommendation system method that integrates CBF and hybrid deep learning with high accuracy and provides a detailed analysis of optimization techniques and hyperparameter tuning.

Investigation of the Transition to Environmental Remote Sensing and Factors Influencing Effective Decision-Making on Soil Preparation and Sowing Timing: A Case Study

The advancement of smart metering technology is progressing steadily and inevitably across various key economic sectors. The utilizatio.n of remote sensors in agriculture presents unique characteristics and specific challenges. In this study, an on-site experiment was carried out on a Slovakian production farm to analyze the transition from traditional measurement methods to smart meters, focusing on timing decisions related to soil preparation and sowing and their relation to scientifically justified dates. Consequently, a clear distinction was observed in terms of the timing decisions made regarding agricultural activities during traditional, combined, and scientifically based approaches in meteorological data readings. This study contrasts these three scenarios and deliberates on the factors that need to be carefully evaluated before incorporating remote sensors into agricultural processes. This study serves as a valuable resource for individuals involved in the adoption of smart metering practices in the Eastern European agricultural sector and promotes an improved understanding of the interactions within smart-sensing, scientific developments, and land management that contribute to the goal of land-system sustainability.

The Current State of the Russian Budget System and the Potential for Financing the Federal Budget Deficit

For the first time, Russia’s budget system is under large-scale stress in all areas: risks of losing the tax base due to international sanctions, a steady increase in unforeseen expenses, inflation risks, and rising debt servicing costs. In this regard, it is necessary to identify and analyze potential sources of financing the federal budget deficit as the main guarantor of budget stability. The article examines the state of the consolidated budget of the Russian Federation and the budgets of state extra-budgetary funds based on the results of the first half of 2024. It is shown that oil and gas revenues remain the main source of revenue growth. Among non-oil and gas revenues, personal income tax and VAT from domestic sales are growing at an accelerated rate. At the same time, the positive dynamics of some sectors of the Russian economy is largely due to budget financing. At the same time, inflation remains above target values, which forces the Central Bank of the Russian Federation to tighten monetary policy. The excess growth of federal budget expenditures and the increase in nominal rates threaten financial stability. In this regard, the article assesses the potential for financing the federal budget deficit in the context of strict borrowing restrictions. Based on the analysis of the state of the domestic federal loan bond market, a conclusion is made about the high risk of a liquidity crisis and the potential for placing domestic debt at the expense of non-bank financial institutions and individuals.

Evaluating the impact of demographic characteristics on residential mortgage default risk: Evidence from Lebanon

Purpose: This study aims to examine the relationship between borrower's demographic characteristics and default risk in mortgage loans to help financial institutions develop more effective lending policies. Design/Methodology/Approach: Cross-sectional data were elicited from randomly selected 6743 individual accounts from Lebanese housing banks. This study applied the binary logistic and stepwise regression models to analyze the dataset using the Stata statistical software. Model diagnosis is performed using the Hosmer-Lemeshow goodness of fit test, likelihood ratio test, model accuracy classification table and statistically significant test-ROC curve. Findings: The findings revealed that there is a significant relationship between residential loan default risk and borrower’s marital status, nature of job occupation, job economic sector, job location and loan purpose. The performance of the binary logistic regression analysis demonstrates the overall percentage who is correctly classified is 91.61%. Conclusion: The log odds of default risk for widowed borrowers are about 90 percent higher than those of divorced borrowers and that of self-employed borrowers is about 54 percent higher than that of employed borrowers. Borrowers working in the banking and real estate sectors have lower default rates than borrowers working in other economic sectors. In addition, loans granted for renovation purposes have the lowest default rates compared to loans provided for purchase, under-construction and construction purposes. Practical Implications: The empirical results help financial institutions to have early warning signals in detecting financial distress and to differentiate between a high- and low-risk group of borrowers, helping in the development of tailored risk mitigation strategies and adjusting the lending criteria.

A Literature Review of Transportation Logistics Policy Models in the Nusantara Capital City Region to Support National Economic Growth

The purpose of this study is to review and analyze several previous studies theoretically related to 1) The impact of Logistics Transportation Policy and spillover effects on National Economic Growth, 2) Some problems from the implementation of the Logistics Transportation Policy in a region, 3) Logistics Transportation Policy Model that can support National Economic Growth. The method used uses qualitative research, exploratory or interpretative systems with a systematic deductive process (Top-Down), guided by some empirical evidence obtained from the author's experience in the field of transportation and logistics, as well as qualitative interactions with several stakeholders and previous research. The results found are 1) in some countries, logistics policies have succeeded in having a positive impact on regional and national economic growth, 2) the ineffectiveness of a logistics policy is caused by high logistics costs, dysfunctional systems, unsupportive regulations, unsupportive human resources and infrastructure and weak coordination between stakeholders, and 3) a transportation logistics policy model that supports national economic growth must be able to involve stakeholders so that it can have a multiplier effect on the economic sector and national economic growth.

Co-operative education in Malawi: An interview with John Mulangeni

This interview was conducted via Zoom with John Mulangeni, Executive Director of the Malawi Federation of Co-operatives (MAFECO), during our 2023 Co-operative Education Workshop. The aim of the workshop was to gather content for this special issue of the Journal of Co-operative Studies. MAFECO is the umbrella body for co-operatives in Malawi, providing “aid in teaching, regulating, and maintaining co-operatives across the nation” (MAFECO.org). John has worked for over 30 years in the Malawi co-operative movement, including in the Ministry of Trade and Industries. He is a committed co-operative educator, and expert in the co-operative economic sector.

Age Management Practices and Benefits in Organisation: An Evaluation of the Effect of Economic Sector, Organisation Size, and Family Business Status

Abstract Background The ageing of the population impacts all areas and is also a challenge for human resources management. To solve this issue, age management practices are used in organisations. To get the best potential out of everyone, this concept should not only involve older employees but should be focused on all of them. Choosing the right practice to get the desired results is a task for managers. Objectives The paper aims to determine whether the sector of the economy, the size of the organisation, or the family business status plays a role in determining age management practices and observed benefits. Methods/Approach Using a questionnaire survey, the most commonly used practices and the observed benefits were identified. Using the chi-square test, differences in chosen categories were confirmed. Results It can be stated that choosing age management practices is influenced by the economic sector, and the size of the organisation influences observed benefits. Conclusions The results can guide organisations on which practices to choose and what benefits to expect from implementing age management practices.

Curriculum reform-necessity for emerging VUCA worlds to enhance pre-service teachers’ pedagogy

The economic meltdowns across countries are exacerbated by COVID-19 and its aftermath, which bear the brunt of perennial devastations characterised by abject poverty. Although somewhat peculiar, higher institutions of education (HIE) have modified learning and teaching strategies to accommodate the deleterious effects of COVID-19. Conversely, while adapting, the emergence of artificial intelligence (AI) necessitates that HIE reprioritises a plethora of factors, including pedagogies. This approach catalyses the comprehension of volatile, uncertain, complex, and ambiguous (VUCA) environments in economic sectors. Hence, this paper aims to evaluate the use of pre-service teachers’ AI skills and digital pedagogy at universities to determine the need to reform the curriculum for the purposes of navigating the VUCA world. Likewise, critical theory is utilised to understand the necessity of digital skills for pre-service teachers to enable HIE’s adaptation to VUCA environments. This mixed-method study involves purposively sampling 12 participants for interviews and randomly sampling 78 participants for surveys. Using critical discourse analysis, the data is analysed to postulate nuances of perspectives. The findings depict that, despite universities adapting to innovative methods, particularly AI, there is a paucity of AI content and infrastructural development that enables pre-service teachers to acquire the digital competencies and skills needed to teach robotics, coding, and maritime studies. Overall, digital skills are below average; hence, the paper recommends that universities reform their curricula to stimulate digital skills that reflect the requisite capabilities of digitalisation and AI to withstand the VUCA world.

Can Europe recover its photovoltaic manufacturing capacity?

Can Europe recover its photovoltaic manufacturing capacity? Antonio Urbina, from the Department of Sciences and Institute for Advanced Materials and Mathematics (INAMAT2), Universidad Pública de Navarra (UPNA), based at Pamplona in Spain, investigates whether Europe can recover its capacity for photovoltaic manufacturing. The energy transition is contributing worldwide to reducing greenhouse gas emissions, the leading cause of climate change. This has been achieved, despite a continually increasing energy demand in all economic sectors, by an impressive growth of installed renewable capacity, the rapid electrification of some sectors (home heating, transport) and more efficient energy use.

Psychosocial work aspects, work ability, mental health and SARS-CoV-2 infection rates of on-site and remote Brazilian workers during the COVID-19 pandemic – a longitudinal study

BackgroundAt the beginning of the COVID-19 pandemic, some workers had the opportunity to work from home, while others remained in on-site work. The aim of the present study was to compare the psychosocial work aspects, work ability, mental health conditions and SARS-CoV-2 infection rates of Brazilian workers in remote and on-site work through a longitudinal study with quarterly follow-up assessments over a 12-month period.MethodA convenience sample of 1,211 workers from different economic sectors participated in the study, 897 of whom (74.1%) worked from home and 314 (25.9%) remained in on-site work. Psychosocial work aspects were assessed using the Copenhagen Psychosocial Questionnaire (COPSOQ). Work ability was assessed using the Work Ability Index (WAI) and the Work Ability Score (WAS). Mental health conditions and SARS-CoV-2 infection rate were recorded based on self-reported medical diagnoses. Online questionnaires were answered from June 2020 to September 2021, involving two waves of the COVID-19 pandemic. The groups were compared using chi-square tests, t-tests, and two-way ANOVA.ResultsIn the first wave of the pandemic, remote workers reported more quantitative demands and work-family conflicts, whereas on-site workers reported more emotional demands, low development of new skills, low commitment, low predictability, low recognition, and low satisfaction. They also reported greater occurrences of unwanted sexual attention, threats of violence, and physical violence. In the second wave, the remote group continued to report high work-family conflicts, whereas the on-site group reported – in addition to the results of the 1st wave – low influence at work, low quality of leadership, and burnout. No significant difference was found between groups with regards to the WAI in either wave. A significant difference was found for the WAS between the 3rd and 12th months (P < 0.01) in both groups. No significant differences were found between groups for the prevalence of anxiety, depression, burnout/stress, insomnia, panic syndrome, and eating disorders, except for the prevalence of insomnia at the 12-month follow-up, with higher rates in the remote group (P = 0.03). SARS-CoV-2 infection was significantly lower in the remote group (11.3%) compared to the on- site (16.9%) group (P < 0.01).ConclusionsPsychosocial work aspects differed between remote and on-site workers. Work ability and mental health conditions were similar between groups. Remote work might have played a role in limiting the spread of the virus in Brazil had it been more widely available.

The Impact of the Corona Pandemic on the Revenues and Expenditures of the Jordanian General Government and the Gross domestic Product

The research aimed to know The impact of the Corona pandemic on the revenues and expenditures of the Jordanian general government and the gross domestic product And reached the following results: The Corona Covid-19 pandemic is greater than being limited to a health crisis, it is a humanitarian disaster that led to changes and transformations that attacked the heart of societies and their economies, so it was imperative for countries to work on the continuity of economic activity and the preservation of the wheel of production in the country while limiting the spread of the disease. It led to a complete and total halt to any economic activity, which caused the cancellation of many capital expenditures scheduled in the context of strict measures, as the restrictions imposed on travel and trade resulted in a decrease in revenues and an increase in expenditures, and the Corona pandemic caused an increase in the deficit rate in the state's general budget, as a result of the large expenses incurred by the state, with a clear decrease in annual revenues, but the state was able in the years following the pandemic to reduce the deficit rate in the budget and cancel many capital expenditures and freeze the performance of some economic activities, which is considered a severe blow to the domestic product, considering that revenues and expenditures enable the state to play its role effectively, as the decrease in revenues and the increase in expenditures call for a review of the structure of government institutions and the duties assigned to them The services it provides, which calls for a mix of its services to ensure mitigation of the pandemic and any crisis that the country may be exposed to, which confirms the validity of the first hypothesis and in light of such crises, and practicing that pivotal role that links the actors in the economic sectors, which allows them to be stronger than before, which confirms the validity of the second hypothesis. They recommended the following: Establishing permanent centers for crisis and risk management at the state level and at the level of the various economic sectors, and activating coordination between them to deal with various crises and risks, and developing training programs for workers on how to deal with crises and how to deal with their effects, and appointing experts and specialists to monitor, analyze and prepare reports on the various crises that the various sectors are going through and building a comprehensive database to predict crises before they occur. 10- Strengthening relations between the various governmental, civil and economic sectors with the media institutions due to their importance in spreading awareness and participating in conferences and interviews that help spread knowledge, and the need to benefit from the experiences of other countries in how to overcome crises.

Health impact of the COVID-19 in Spanish non-healthcare workers by gender: Use of sickness absence for surveillance.

At the beginning of the pandemic, the identification of transmission chains was biased towards more closely monitored sectors, such as healthcare and sociosanitary centers. The objective of our research is to describe the impact of the pandemic on the Spanish non-healthcare workers measured through health-related workplace absences. A descriptive study of the cases of COVID-19-related temporary disability (TD) between February 15th and September 17th, 2020, was carried out. TD quarantine/infection ratios were calculated for every economic sector of activity. Rates of COVID-19 TDs per 100,000 affiliated workers were obtained, by gender, age, economic activity of the company or occupation of the worker. A total of 1,126,755 TDs were recorded, 45.4% in women. The overall TD rates were 5,465 quarantines and 1,878 illnesses per 100,000 women, and 4,883 quarantines and 1,690 illnesses per 100,000 men. The highest incidence rates of TD due to illness were observed in younger age groups, under 30. The median TD quarantine/infection ratio was 2.6 (Interquartile range [IQR] 1.5-3.9), and Postal and Courier activities had the highest value: 4.7 quarantines per case (IQR: 3.75-6.12). The TD rates were higher in female workers in most sectors of activity and occupations compared to men in the same sectors and with the same occupations. The results show the uneven impact of COVID-19 by occupation, with a higher rates in less qualified occupations (unskilled workers and laborers) versus the first categories of the table (directors, managers, technicians, and professionals). The results confirmed the high impact of COVID-19 on Spanish non-healthcare workers and it's inequalities. They also confirmed the potential use of TDs as an alternative source for epidemiological, public health surveillance and early warning of new emerging infections.

Assessment of the effectiveness of management at the regional level based on the analysis of the activities of authorities

Relevance. The problem of effective management of regional development is becoming more and more urgent due to the emergence of new conditions (obstacles) of functioning, which pose the task of creating programs for the most effective management of subjects to the regions of Russia and executive authorities. It is important to note the choice of the subject: the Kursk region is an important region of the Central Federal District due to its potential and geographical location.The subject has a specialization in important sectors of the entire Russian economy, but at the same time may face inefficient management, which will cause a decline in the regional economy. The purpose is to assess the effectiveness of management of an economic entity on the example of the Kursk region by analyzing the activities of executive authorities.Objectives: to establish the parameters of effective management; to study regional policy as a means of increasing the effectiveness of regional development; to study methods for assessing the effectiveness of regional development through the prism of actions of public authorities; to compare the economic structures of the Kursk region and neighboring regions of the region using specific methodologies; to identify the main problems in the development of the Kursk region.Methodology. To carry out the research, methods of system analysis and synthesis, statistical data processing, as well as comparative and expert analysis are used. The results of the study include an analysis of the effectiveness of regional policy in the Kursk region and the identification of the main problems in the activities of government agencies that affect the economic growth of the subject.Conclusions. The Kursk Region is an ambiguous region regarding the quality of regional economic management. Studying the state support of subjects, their management by authorities, we can say that in the field of ecology and industrial development, the state supports the region sufficiently, since these areas are specialized in the region, which cannot be said about other areas. Despite the weak development of other industries, the state needs to provide significant support to such specialized sectors as agriculture and industry.

Spatio-temporal Evolution of Land Use in Guangdong-Hong Kong-Macao Greater Bay Economic Area, 1985-2022 and Analysis of Influencing Factors

This research employs GIS and remote sensing technology, along with time-series Land cover data, to examine the evolving patterns of various land use categories (such as forest land, cultivated land, and impervious surfaces) within the Guangdong-Hong Kong-Macao Greater Bay Area. The results indicate that the predominant spatial configuration of land use in this region follows a sequence of "forest land-cultivated land-impervious land." Notably, the key transformation observed involves the conversion of cultivated land to impervious surfaces, resulting in a cumulative expansion of impervious areas by 3,346,985 hectares between 1985 and 2022. Moreover, the level of spatial integration among land use types in the Greater Bay Area is progressively standardizing, with notable advancements in scientific, technological, economic, and transportation sectors leading to a high degree of synergy. The system as a whole demonstrates effective coordination and operational efficiency. The methodology section outlines the data sources and analytical techniques employed, encompassing the utilization of the land use transfer matrix, individual land use degree assessment, and spatial coupling function model. Through these methodologies, the study identifies urban economic development as the primary driver behind the proliferation of impervious surfaces, offering valuable insights to inform regional development strategies and environmental governance policies.

The causal relationship between government investment and economic development in ASEAN countries

The purpose of this article is to evaluate the impact of public investment on economic growth. The data was used from the annual data of the Asian Development Bank (ADB) for 6 countries in ASEAN during 2000-2022. The methodology used in the project is to apply the unit root test to the stationarity properties of individual time series and establish the cointegration relationship between non-stationary variables using methods related to cointegration testing in the long-run. The error correction model (ECM) considers the impact of the variables public investment, public expenditure and budget revenue from taxes on short-term economic growth and long-term growth thereby calculating the adjustment speed and adjustment time of the model and using the Granger causality test with fixed effects for analysis of unbalanced panel data to comprehensively analyze the relationship between public investment and economic growth. Data analysis and processing were performed using Stata software version 17. The findings that public investment has a long-term impact on economic growth and has a two-way causal relationship in all countries. The authors provide policy implications to make public investment more effective contributing to promoting the country's socio-economic development, reviewing and improving the legal system on public investment, restructuring public investment while strongly enhancing the efficiency and quality of public investment, inviting and attracting foreign direct investment (FDI) capital, diversifying capital sources and creating more motivation for the private economic sector to develop and promulgate solutions to develop high-quality human resources.