Domestic Product Research Articles

The Impact of Gross Domestic Products (GDP), US Dollar Exchange Rates and Money Supply on Indonesian Salt Imports From 2003 To 2022

International trade is an important aspect of a country's economy. International trade is the exchange of goods, services, or other factors of production across national borders. One example of international trade is exports and imports. Export and import activities have a close relationship with demand and supply. In this study, we will examine one of the important aspects of international trade, namely imports. Indonesia, as a country that has a wide coastline and a large water area, still needs to import salt from other countries to meet the salt needs in Indonesia itself. Therefore, research will be conducted on salt imports in Indonesia as influenced by Gross Domestic Product, US Dollar Exchange Rate, and Money Supply. In this study, there is a period of twenty years, from 2003 to 2022. The number of observations in this study is eighty because there are four variables with a research data period of twenty years. The objectives of this study are 1) to analyze the effect of GDP, the US Dollar Exchange Rate, and the Amount of Money in Circulation simultaneously on Salt imports in Indonesia in 2003–2022, 2) to analyze the effect of GDP, the US Dollar Exchange Rate, and the Amount of Money in Circulation partially on Salt imports in Indonesia in 2003–2022, and 3) to find out the variables that have the most dominant influence on Salt Imports in Indonesia in 2003–2022. The results of this study show that GDP and the amount of money in circulation have a positive effect on salt imports in Indonesia in 2003–2022, and the US dollar exchange rate has a negative effect on salt imports in Indonesia. Gross Domestic Product has the most dominant influence on the Salt Import variable, among other variables.

CO2 emission from the electricity sector in Iran; calculation, prediction and reduction policies

Fossil fuel power plants produce a significant amount of CO2 emissions, and this pollutant causes global warming, respiratory and heart diseases, and other significant issues. Electricity interprets as a primary and rising demand in each energy system; thus, in this paper, carbon dioxide (CO2) emission reduction was selected as the objective value for 2025. Power plant fuel consumption was surveyed to calculate the CO2 emission caused by each fuel. Also, Esfahan province (an industrial province in Iran) was investigated as the study case. Forecasting the fuel consumption for 2025 was run by two parameters: population and Gross Domestic Production (GDP), which were forecasted by the report of the Iran Statics Center and the Gaussian Process Regression (GPR) method, respectively. The CO2 emission of power plants was obtained using the coefficients of each fuel. Based on Iran's commitment to the Paris Agreement, a 4% reduction of CO2 emissions is the main objective. Thus, this study aims to reach this goal by implementing four scenarios: a) adding renewable energies, b) adding renewable energies and improving the generation efficiency, c) adding renewable energies and decreasing the grid losses, and d) combining the three scenarios mentioned above. According to these scenarios, reformation strategies compensated 10.5% of the required power, which was satisfied by renewable energies, and finally, this province can gradually satisfy a 4% reduction until 2025.

Trends of cervical tumours amongst women from perspectives of demographic, socioeconomic and geographic indicators: retrospective ecological study in Czechia

IntroductionFor many infectious diseases, women are at higher risk and have a more severe disease course than men for many reasons, including biological differences, social inequalities, and restrictive cultural norms. The study focuses on infections with human papillomaviruses (HPV) in the form of cervical cancer as a gender-specific disease. The main goal is to evaluate cervical tumour incidence trends in the Czech female population in the HPV vaccination period 2012–2020 in relation to selected demographic, socioeconomic, and geographic indicators.MethodsThis is a retrospective ecological study. Data from publicly available databases about the incidence and mortality of cervical tumours (C53 Malignant neoplasm of cervix uteri, D06 Carcinoma in situ of cervix uteri according to ICD 10) and HPV vaccination rate were analysed and compared with demographic, socioeconomic and territorial data. Associations were searched using correlation analysis.ResultsThere was a decreasing trend in the incidence of cervical cancer in the observed period. Regarding cervical tumours (C53, D06) and malignant neoplasm of cervix uteri incidence (C53), the decrease was approximately 11 and 20%, respectively. Differences between regions were observed in incidences and vaccination rates. Based on correlation analysis, indicators connected with urban/rural aspects, such as a share of urban population and population density, were statistically significant. The indicators related to higher cervical cancer incidence are the high unemployment rate of women, the high number of divorces, the high number of abortions, the high share of the urban population, the high number of students, and the high number of women with only primary education. On the other hand, the indicators related to lower cervical cancer incidence are the high gross domestic product (GDP), the high average gross monthly wage per employee, the high employment rate of women, the higher average age of mothers at birth, and the high number of women with tertiary education.ConclusionResults underline the problem of economically disadvantaged regions and families. Increasing vaccination rates, promoting regular screening for cervical cancer, and supporting awareness in the population, especially in regions with higher incidence rates, should be priorities for public health efforts.

ANALISIS STRATEGI APARATUR DINAS LINGKUNGAN HIDUP DAN PERTANAHAN DALAM PENGELOLAAN SAMPAH DI KABUPATEN TAKALAR

This research aims to find out and analyze the strategies implemented by the Environment and Land Service apparatus in managing waste in Takalar Regency. The waste problem in various regions in Indonesia is a very urgent matter that needs attention from officials in each regional government because it is closely related to public health and healthy environmental conditions. This research uses a qualitative descriptive approach method, and the data is analyzed using the SWOT technique. Data collection was carried out by combining observation techniques, in-depth interviews with informants (Heads of Departments, Heads of Divisions, implementing officers in the field, and the general public), as well as documentation data. The findings obtained in this research are that the strategies implemented by the Environment and Land Service apparatus have been working well, although they still require various improvements and attention from the relevant apparatus. This strategy, which has not yet been effective, should receive more serious attention in the waste management process because it has the potential to create new jobs, as well as contribute more to increasing the Gross Regional Domestic Product (GRDP) of Takalar Regency. To improve waste management in Takalar Regency, increase the number of PDUs, TPS3R, and community-based waste banks as well as carry out outreach and create the "SALINTAK" application. Keywords: Strategy Management, Waste Management, SWOT Analysis

Cost-Effectiveness Analysis of Digital Breast Tomosynthesis and Mammography in Breast Cancer Screening: A Markov Modeling Study.

Mammography (MG) has demonstrated its effectiveness in diminishing mortality and advanced-stage breast cancer incidences in breast screening initiatives. Notably, research has accentuated the superior diagnostic efficacy and cost-effectiveness of digital breast tomosynthesis (DBT). However, the scope of evidence validating the cost-effectiveness of DBT remains limited, prompting a requisite for more comprehensive investigation. The present study aimed to rigorously evaluate the cost-effectiveness of DBT plus MG (DBT-MG) compared to MG alone within the framework of Taiwan's National Health Insurance program. All parameters for the Markov decision tree model, encompassing event probabilities, costs, and utilities (quality-adjusted life years, QALYs), were sourced from reputable literature, expert opinions, and official records. With 10,000 iterations, a 2-year cycle length, a 30-year time horizon, and a 2% annual discount rate, the analysis determined the incremental cost-effectiveness ratio (ICER) to compare the cost-effectiveness of the two screening methods. Probabilistic and one-way sensitivity analyses were also conducted to demonstrate the robustness of findings. The ICER of DBT-MG compared to MG was US$5971.5764/QALYs. At a willingness-to-pay (WTP) threshold of US$33,004 (Gross Domestic Product of Taiwan in 2021) per QALY, more than 98% of the probabilistic simulations favored adopting DBT-MG versus MG. The one-way sensitivity analysis also shows that the ICER depended heavily on recall rates, biopsy rates, and positive predictive value (PPV2). DBT-MG shows enhanced diagnostic efficacy, potentially diminishing recall costs. While exhibiting a higher biopsy rate, DBT-MG aids in the detection of early-stage breast cancers, reduces recall rates, and exhibits notably superior cost-effectiveness.

Analysis of Factors Affecting the Loan Growth of Banks with a Focus on Non-Performing Loans

The purpose of this paper is to investigate the intertemporal relationship between the non-performing loan ratio and bank lending and to analyze factors affecting loan growth using data from Mongolian commercial banks. There has been a lack of research on Mongolian banks’ lending behavior due to their short history. Thus, this paper investigates the effect of the non-performing loan ratio on total loan growth using an ordinary least squares (OLS) regression model with panel data. We used bank-related variables such as the loan-to-deposit ratio, provision-to-gross loan portfolio ratio, equity-to-asset ratio, and liquidity ratio, and economic variables such as the real gross domestic product (GDP) growth rate, interest rate, and inflation rate. The results of this paper show that non-performing loans have a significant negative impact on total loan growth. The implication of this result is that non-performing loans affect banking efficiency, which, in turn, affects financial stability and the real economy. Moreover, high non-performing loans reduce banks’ profits. Also, this paper found that loss reserve and the liquidity ratio have a positive effect on total loan growth, while the effects of the loan-to-deposit ratio and the equity capital ratio were not found to be significant. Additionally, from a macro perspective, the inflation rate has a positive effect on the total loan growth rate, while the interest rate has a positive effect on total loan growth rather than a negative effect. And real gross domestic product (GDP) growth does not affect the total loan growth rate.

Artificial Intelligence in the Effective Execution Process of Construction Projects in the Future

The construction industry currently constitutes 13% of the global gross domestic product (GDP), with projections indicating an 85% increase in value to $15.5 trillion by 2030. The widespread adoption of information technology (IT) has significantly enhanced the integration of disparate data in construction project environments. Consequently, the construction sector including full construction value chain, is undergoing a transformative phase. The increasing investment in artificial intelligence (AI) makes it impossible to keep pace with its rapid advancements. Hence, this study aims to examine the role of AI in facilitating the effective execution of construction projects in the future. This research employs a document analysis approach and scrutinizes 20 relevant papers from both domestic and international scientific databases. Methodologically, this study adopts an applied research approach, and based on the method of data collection, it is considered a descriptive survey method. Therefore, a questionnaire was designed and distributed among 100 experts and practitioners familiar with AI concepts in Tehran for data collection to conduct a census-style field study. Subsequently, Smart PLS software was employed for data analysis. The findings not only validate the model's reliability, validity and fit but also present solutions and pertinent issues related to challenges concerning AI future role in enhancing project execution efficacy.

Economic growth in the Sub-Saharan African world region: convergence theory

Purpose The processes of convergence are particularly challenging in the Sub-Saharan African frameworks, considering the diversity of contexts and endogenous particularities. Creating conditions to support these nations to improve their socioeconomic dynamics and performance requires additional contributions from international organisations, governments and the scientific community. In this scenario, this paper aims to analyse the convergence process in Sub-Saharan African countries over the past three decades. Design/methodology/approach To achieve these objectives, data from the World Bank were considered for the gross domestic product (GDP) per capita over the period 1990–2021. This statistical information was assessed through panel data approaches based on the models from the convergence theory. Specifically, the concepts of sigma and beta convergence were addressed, as well as the concept of catch-up rates. Findings The findings obtained highlight evidence of the existence of clubs of convergence among the Sub-Saharan African countries and the processes of catching up. These results may be relevant support for the policymakers and international funds and programmes. Originality/value This research provides a new perspective on the convergence of GDP per capita in Sub-Saharan African countries, based on an analysis focused on groups of countries identified on the basis of catch-up rates. This approach presents a way of dealing with the different specificities of these nations.

Research on the Accounting and Spatial Effects of Emergy Ecological Footprint and Industrial Green GDP--The Case of Yangtze River Economic Belt

The booming development of industrial enterprises at the cost of ecological resource consumption has inevitably harmed the ecological environment, especially since the phenomenon of water resource pollution is more serious. Exploring the relationship between the ecological environment and the industrial economy is crucial to the green and sustainable development of the region. This study uses the Spatial Durbin Model (SDM) to investigate the impact of emergy ecological footprint on the industrial green of gross domestic product (GDP) under the perspective of water resources, based on the panel data of 11 provinces in Chinas Yangtze River Economic Belt (YREB) from 2012 to 2021. The results show that first, the overall industrial green GDP of the YREB has increased year by year, and the effect of water resource protection is outstanding. Second, the emergy ecological footprint has a significant positive effect on industrial green GDP, and the spillover effect is also significant. Third, heterogeneity analysis shows that the spatial relationship between emergy ecological footprint and industrial green GDP is different in different regions, and the local effect and neighborhood effect of the high industrial green economic development areas are consistent with those of the YREB, while the relationship between the low industrial green economic development areas is not obvious. This paper is of great significance for the green development of industrial enterprises in the YREB and guides the formulation of sustainable development policies.

Variation in labor skills and offshoring across time zones

AbstractWe check the role of time‐zone difference on offshoring of service tasks when the skill of labors varies between the partner countries. We frame a model where partner countries are located in non‐overlapping time zones, and the skill level of the partner‐country labors is lower. In our model, service production is divided into two sequential stages, and output is a supermodular function of the skill of labors and time. The problem of the producers is to choose between domestic production and offshoring. Domestic production employs high‐skill labors though the time management is inefficient. On the other hand, offshoring to a non‐overlapping time zone helps to work round the clock and reduce the cost, but the lower expertise of skilled labor lowers the output. In such a framework, we check conditions for beneficial offshoring. The condition derived in our analysis provides combinations of skill and time that can make offshoring beneficial. Results show that offshoring across time zones is beneficial even when the complexity of stages of production vary. However, only the relatively less‐critical task is offshored. We further find that availability of domestic low‐skill labor does not benefit the firm, while foreign low‐skill labor may be beneficially utilized through time‐zone exploitation.

Bank loans to agricultural SMEs and the performance of the agriculture sector in Sri Lanka

The objective of this study is to examine the impact of bank loans for agricultural SMEs on agriculture sector performance, specifically assessing how this financial support influences the overall performance of the agricultural sector in Sri Lanka. Data for both dependent and independent variables were meticulously sourced from the annual reports of the Ministry of Finance, covering the study period from 2012 to 2021. The study evaluates the performance of 16 distinct agricultural economic activities, each contributing uniquely to Sri Lanka's economy. The descriptive statistics, particularly the mean values, highlight intriguing aspects of Sri Lanka's agricultural sector. Notably, there is a considerable disparity in the average gross domestic production, with marine fishing and marine aquaculture emerging as highly productive. At the same time, the growing of other beverage crops demonstrates a significantly lower contribution. Crucially, the regression analysis affirms a positive and statistically significant impact of bank loans to agricultural SMEs on the performance of the overall agricultural sector in Sri Lanka. This substantiates the fundamental need for adequate bank loans for agricultural SMEs to empower and enhance the performance of the entire agriculture sector. As this study sheds light on the positive correlation between bank loans for agricultural SMEs and agricultural sector performance, it underscores the importance of tailored public policies concerning loan proportions and amounts for distinct economic activities within the agriculture sector.

Photocatalytic Degradation of Quinolones by Magnetic MOFs Materials and Mechanism Study

With the rising incidence of various diseases in China and the constant development of the pharmaceutical industry, there is a growing demand for floxacin-type antibiotics. Due to the large-scale production and high cost of waste treatment, the parent drug and its metabolites constantly enter the water environment through domestic sewage, production wastewater, and other pathways. In recent years, the pollution of the aquatic environment by floxacin has become increasingly serious, making the technology to degrade floxacin in the aquatic environment a research hotspot in the field of environmental science. Metal–organic frameworks (MOFs), as a new type of porous material, have attracted much attention in recent years. In this paper, four photocatalytic materials, MIL-53(Fe), NH2-MIL-53(Fe), MIL-100(Fe), and g-C3N4, were synthesised and applied to the study of the removal of ofloxacin and enrofloxacin. Among them, the MIL-100(Fe) material exhibited the best photocatalytic effect. The degradation efficiency of ofloxacin reached 95.1% after 3 h under visible light, while enrofloxacin was basically completely degraded. The effects of different materials on the visible photocatalytic degradation of the floxacin were investigated. Furthermore, the photocatalytic mechanism of enrofloxacin and ofloxacin was revealed by the use of three trappers (®O2−, h+, and ®OH), demonstrating that the role of ®O2− promoted the degradation effect of the materials under photocatalysis.

Evaluasi pemungutan pajak restoran berdasarkan Peraturan Daerah Kota Ternate Nomor 15 Tahun 2014 tentang pajak restoran di Badan Pengelolaan Pajak dan Retribusi Daerah Kota Ternate

Restaurant tax is a source of regional revenue that contributes significantly to the increase of Regional Original Domestic Product (PAD) due to the large number of culinary tourisms in Ternate City. This research aims to evaluate the implementation of restaurant tax collection based on Ternate City Regional Regulation Number 15 of 2014 concerning Restaurant Tax at the Ternate City Regional Tax and Levy Management Agency. This type of research is descriptive qualitative. The research results show that the collection carried out at BP2RD Ternate City is in accordance with Ternate City Regional Regulation Number 15 of 2014 regarding restaurant tax. However, there are also areas that do not comply with the regional regulations, namely designated areas. This shows that BP2RD Ternate City has not fully implemented the collection in accordance with the applicable regulations, but has only partially implemented the collection in accordance with the applicable regulations.

A Panel Data Analysis of Antidumping Duties in Seafood Trade: A Gravity Model Approach

ABSTRACT This study uses a panel of monthly data to investigate the effects of antidumping (AD) duties imposed on shrimp imports to the U.S. The results from the augmented gravity model show that initiating AD investigations and the final AD duty rate harm trade with the named countries. Distribution of AD duties among domestic industry producers stimulates a positive supply response. Rejection of imports by European countries for food safety reasons deflects trade to the U.S. The pass-through effects of the AD duty rate (and exchange rate) on import prices are small, indicating minimal adverse effects of AD policy on consumer welfare.

Assessing the Impact of Inflation and Exchange Rate on Nigerian Gross Domestic Product (1981-2022)

This study evaluated the impact of inflation and exchange rate on the Nigerian Gross Domestic Product (GDP) from 1981 to 2022. The data for this study were obtained from Central Bank of Nigeria Statistical Bulletin. Multiple Linear Regression model was adopted for the study to determine the relationship between the GDP, the inflation and exchange rates and the result showed that there is a significant relationship with the p-value (0.005). The result also showed with Ordinary Least Square (OLS) method that inflation rate has a negative impact on the Nigerian GDP while exchange rate is significant with (p-value <0,005) over the years of study. The value of the coefficient of variation R2 for this research is 92.2% indicating that inflation and exchange rate account for about 92% of the variation in the GDP over the years of study. It was observed there was an increase in exchange rate and price level is also detrimental to the economic growth, this means it contributes to the growth of Nigerian GDP over the period of study.

Tax Revenue In Asian Countries: Contribution Of Economic Sector With The Rule Of Law As A Moderating Variable

The implementation of government effectiveness aims to provide the best service to the community. The effectiveness of this organization can be measured by one of them using The Worldwide Governance Indicators (WGI) project index. From 2010 to 2019, there are seven Asian countries with effectiveness indexes above the world average, namely Georgia, Hong Kong, Thailand, Japan, South Korea, Singapore, and Malaysia. Through this study, it will be assessed whether this effectiveness supports tax revenue by conducting research on the effect of the contribution of the industrial sector and the service sector to Gross Domestic Product (GDP) on the effect of tax revenue. Then the author also conducts research whether the interaction of moderating variables, in this case the Rule of Law Index variable with the two independent variables (the contribution of the industrial sector and the service sector to Gross Domestic Product (GDP)) has an influence on the contribution of tax revenue to GDP considering that law enforcement is one of the steps in the implementation of controlling tax payments. The results obtained in this study state that before the interaction with moderating variables, the independent variables, namely the industrial sector and the service sector in GDP contribution, have a significant negative effect on tax revenue. Then when the moderating variable, namely the rule of law index, interacts with the industrial sector and the service sector, the effect of the two independent variables on the tax revenue variable has increased to a significant positive effect, so that the moderating variable in this study has a role that strengthens the influence of the independent variable on the dependent variable.

Fiscal Dominance and the Effectiveness of Monetary Authority in Nigeria 1980-2020

The study examined the existence as well as the degree of fiscal dominance in Nigeria. Annual time series secondary data for the period 1980-2020 were employed in the study. Specifically, data on fiscal deficit, public debt, government expenditure, money supply, interest rate, and real Gross Domestic Product (GDP) for the study period were obtained from the Central Bank of Nigeria (CBN, 2020), and the World Development Indicators (WDIs, 2020). The study used descriptive statistics in form of tables, and the Dynamic Ordinary Least Squares (DOLS) for long run analysis. It was established in the study that government expenditure and outstanding debt have significant positive relationship with money supply. Specifically, N1 billion increase in public debt is expected to increase money supply by N1.2 billion (t = 8.25, p < 0.01). Similarly, N1billion increase in government spending will cause money supply to increase by N1.36 billion (t = 4.29, p < 0.01). Conversely, interest rate exhibited negative effect on money supply, such that one percent increase in interest rate will bring money supply down by 150 percent (t = -2.0113, p < 0.05). With a measure of fiscal dominance with the δ of 0.28, the study concluded that there is no case of fiscal dominance in Nigeria. The study recommends that with the active counterbalancing roles of monetary policy Nigeria, the government can aggressively pursue and sustain economic growth through fiscal expansion-backed borrowings and spending.

Is Transition to Retirement Associated With Volunteering? Longitudinal Evidence from Europe.

Studies have shown that retired older adults are more likely to volunteer than their working counterparts. However, whether the transition to retirement is associated with increased volunteering frequency and whether this varies according to material and time resources of participants is unclear. We used four waves of data from the longitudinal Survey of Health, Ageing and Retirement in Europe, collected between 2011-2018 across 19 countries (n = 12,400 person-observations from 6200 individuals over 50). Within-person (or panel fixed-effect) regression analyses revealed that transition to retirement was associated with an increased volunteering frequency over time. This association was stronger among individuals with better health, higher education, improved financial situation and in countries with higher gross domestic product per capita. Overall, transition to retirement tends to open new ways of organizing everyday life and is associated with increased frequency of volunteering.

The Implementation of Value Chain Holistic Model of Ulos Weaving Fabric Creative Industry

This research has a long-term goal to increase the income of stakeholders in the us weaving fabric industry in North Sumatra and the National Gross Domestic Product in Indonesia. The specific target to be achieved is to improve the concept of a value chain holistic model of the Ulos weaving fabric industry, which will soon be implemented. The methods used in achieving this goal are an experimental study by a value chain holistic model of the Ulos weaving fabric industry using the strength and opportunities strategy. Through a Focus Group Discussion involving MUSRENBANG, KOPERINDAG, City Government, Provincial Government, Ulos Weaving Fabric Manufacturers Group, Weaver Group, and Producers Cooperative, information and data will be collected, which will be grouped into Strengths, Weaknesses, Opportunities, and Threats information. The evaluation of data and information through a SWOT analysis shows the results that the proposed model is good and continues to implement a production and marketing strategy, where the establishment of a production cooperative will strengthen SMEs with a joint commitment of members and will facilitate the capital. The Association of SMEs was formed to produce quality production and standardized prices so as to be able to deal with internal competition properly, which will be able to support the Lake Toba tourist destination as a tourism activity in North Sumatera. Standing for marketing is also needed to support the construction of toll roads along the Lake Toba area through the tourist gateways of Medan and Silangit.

The effects of electricity load-shedding on the performance of small and medium enterprises in Pretoria, South Africa: A case study of Marabastad Business Community

South Africa has been experiencing electricity load shedding for over sixteen years and this has affected the performance of small and medium enterprises (SMEs) across the country, with devastating effects recorded in the post-Covid-19 era. SMEs are key drivers of the economy and their performance has a great influence on it, as they contribute 36% of gross domestic product (GDP). This case study of the problem used the qualitative research method, with data collected through interviews. This study established that, in the area studied, there is a decline in the performance of the entrepreneurs and working hours have been drastically reduced due to load-shedding. Proposals are made of measures that the SME implementers and the government of South Africa can take in order to prevent the situation from further deteriorating.