Pub Date : 2024-06-05DOI: 10.9734/ajeba/2024/v24i61373
Andreas Maruli Tatar Nainggolan, Wiyarni Wiyarni
Aims: The purpose of this study is to analyze sales problems of a company using root cause analysis to support business process improvement. Study Design: This study is qualitative approach and uses Root Cause Analysis to analyse the data. Place and Duration of Study: To maintain company confidentiality, this research uses the name of XYZ instead of the actual name. The object of this research is XYZ Company that company engaged in the wholesale trade of car parts and accessories, retail trade of vehicle parts and accessories, between August 2023 and December 2023. Methodology: This study used mixed method approach (qualitative and quantitative).The informants in this study were divided into internal and external sources. Informants from internal sources come from Directors, Commissioners, Area Sales Managers, Finance Administration and Tax Managers, HRGA Managers, and Branch Managers. The external informants of this study are external informants are Senior Trainer Performance Excellence, Founder & Trainer Expert Club Indonesia. The data also collected from results of the meeting minutes at the time of the Sales Gathering, and minutes of branch sales performance evaluation meetings. Results: The results of this study indicates the most dominant cause of the problems are customer database not update, Apps Upgrade and Notifications, Address and location do not match, and Force Majeure conditions (flooding business premises). The solutions are standardization, automation and/or mechanization, and improve sales person capability. Conclusion: Increasing sales is the main thing that top management wants to achieve for all teams under it, to support business process improvement; has been proven by changes in results or ongoing improvement processes using root cause analysis in an effort to resolve problems that occur and continuous improvement or improvement.
{"title":"Analyzing Sales Challenges with Root Cause Analysis to Enhance Business Process","authors":"Andreas Maruli Tatar Nainggolan, Wiyarni Wiyarni","doi":"10.9734/ajeba/2024/v24i61373","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i61373","url":null,"abstract":"Aims: The purpose of this study is to analyze sales problems of a company using root cause analysis to support business process improvement. \u0000Study Design: This study is qualitative approach and uses Root Cause Analysis to analyse the data. \u0000Place and Duration of Study: To maintain company confidentiality, this research uses the name of XYZ instead of the actual name. The object of this research is XYZ Company that company engaged in the wholesale trade of car parts and accessories, retail trade of vehicle parts and accessories, between August 2023 and December 2023. \u0000Methodology: This study used mixed method approach (qualitative and quantitative).The informants in this study were divided into internal and external sources. Informants from internal sources come from Directors, Commissioners, Area Sales Managers, Finance Administration and Tax Managers, HRGA Managers, and Branch Managers. The external informants of this study are external informants are Senior Trainer Performance Excellence, Founder & Trainer Expert Club Indonesia. The data also collected from results of the meeting minutes at the time of the Sales Gathering, and minutes of branch sales performance evaluation meetings. \u0000Results: The results of this study indicates the most dominant cause of the problems are customer database not update, Apps Upgrade and Notifications, Address and location do not match, and Force Majeure conditions (flooding business premises). The solutions are standardization, automation and/or mechanization, and improve sales person capability. \u0000Conclusion: Increasing sales is the main thing that top management wants to achieve for all teams under it, to support business process improvement; has been proven by changes in results or ongoing improvement processes using root cause analysis in an effort to resolve problems that occur and continuous improvement or improvement.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-25DOI: 10.9734/ajeba/2024/v24i61339
O. Oyetayo, F. Olaifa, E. Olubiyi
Aims: The study examines the potency of parallel exchange rates in the movement of international trade in Nigeria. The monetary authorities have embarked on various exchange rate regimes basically because the supply of foreign exchange is not enough to meet the demand. Consequently, a parallel market for exchange rates exists and has become a strong and functional market in the country. But the reason for managing foreign exchange and by extension, introducing various exchange rate regimes was to correct the balance of trade disequilibrium. Yet the balance of trade deteriorates, particularly that of non-oil trade balance. Does the parallel exchange rate contribute to this or does it ameliorate it? Study Design: Descriptive, Correlation, and Regression analysis on time series data. Place and Duration of Study: Sample: Monthly data from January 2007 to December 2022 (2007:1-2022:12) were extracted from the online data repository of the Central Bank of Nigeria. Methodology: The autoregressive distributed lag technique was employed on monthly data between January 2007 and December 2022 (2007:1-2022:12). Results: The result indicates that the short-run dynamics of total exports (total imports) are negatively (positively) and significantly affected by parallel exchange rate. Generally, depreciation of the parallel exchange rate is detrimental to export particularly non-oil exports. Further, depreciation of parallel exchange rate encourages imports and highly persistent in influencing non-oil imports. The J-curve phenomenon breaks down for total balance of trade. However, the J-curve phenomenon cannot be confirmed in the case of oil trade balance because there is no information about the long run effect of parallel exchange rate on oil export due to the non-integration of the model. In the case of non-oil trade balance, the short-run outcome confirms the existence of the J-curve prediction. Conclusion: Following these results, it is recommended among others that government should activate a single market (window) for foreign exchange. Also, the authorities should ensure that importation of non-oil products such as exotic cars by government officials be stemmed.
{"title":"Analysis of Trade Effects of Parallel Exchange Rate in Nigeria","authors":"O. Oyetayo, F. Olaifa, E. Olubiyi","doi":"10.9734/ajeba/2024/v24i61339","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i61339","url":null,"abstract":"Aims: The study examines the potency of parallel exchange rates in the movement of international trade in Nigeria. The monetary authorities have embarked on various exchange rate regimes basically because the supply of foreign exchange is not enough to meet the demand. Consequently, a parallel market for exchange rates exists and has become a strong and functional market in the country. But the reason for managing foreign exchange and by extension, introducing various exchange rate regimes was to correct the balance of trade disequilibrium. Yet the balance of trade deteriorates, particularly that of non-oil trade balance. Does the parallel exchange rate contribute to this or does it ameliorate it? \u0000Study Design: Descriptive, Correlation, and Regression analysis on time series data. \u0000Place and Duration of Study: Sample: Monthly data from January 2007 to December 2022 (2007:1-2022:12) were extracted from the online data repository of the Central Bank of Nigeria. \u0000Methodology: The autoregressive distributed lag technique was employed on monthly data between January 2007 and December 2022 (2007:1-2022:12). \u0000Results: The result indicates that the short-run dynamics of total exports (total imports) are negatively (positively) and significantly affected by parallel exchange rate. Generally, depreciation of the parallel exchange rate is detrimental to export particularly non-oil exports. Further, depreciation of parallel exchange rate encourages imports and highly persistent in influencing non-oil imports. The J-curve phenomenon breaks down for total balance of trade. However, the J-curve phenomenon cannot be confirmed in the case of oil trade balance because there is no information about the long run effect of parallel exchange rate on oil export due to the non-integration of the model. In the case of non-oil trade balance, the short-run outcome confirms the existence of the J-curve prediction. \u0000Conclusion: Following these results, it is recommended among others that government should activate a single market (window) for foreign exchange. Also, the authorities should ensure that importation of non-oil products such as exotic cars by government officials be stemmed.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140656741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.9734/ajeba/2024/v24i61338
Rongrong Song
The book Research on the Formation and Prevention of Systemic Risks in the Banking Industry from the Perspective of Platform Finance is an in-depth discussion of the formation mechanism, characteristics, transmission paths and prevention of systemic risks in the banking industry from the perspective of platform finance. By combining theory and practice, this book not only provides readers with a comprehensive understanding of systemic risks in the banking industry, but also provides practical strategies and suggestions for banking industry risk management and supervision.
{"title":"Comprehensively Strengthen Financial Supervision and Effectively Forestall and Defuse Financial Risks: Book Review on Research on the Formation and Prevention of Systemic Risks in the Banking Industry from the Perspective of Platform Finance","authors":"Rongrong Song","doi":"10.9734/ajeba/2024/v24i61338","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i61338","url":null,"abstract":"The book Research on the Formation and Prevention of Systemic Risks in the Banking Industry from the Perspective of Platform Finance is an in-depth discussion of the formation mechanism, characteristics, transmission paths and prevention of systemic risks in the banking industry from the perspective of platform finance. By combining theory and practice, this book not only provides readers with a comprehensive understanding of systemic risks in the banking industry, but also provides practical strategies and suggestions for banking industry risk management and supervision.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-19DOI: 10.9734/ajeba/2024/v24i51337
Shathurshana Rathakrishnan, Ramya Yogaraja
This study aims to analyze the tax burden in developing nations with special reference to Sri Lanka, Taxation is a crucial source of revenue for public services, but there are still obstacles in the way of efficient tax collection, especially in developing countries like Sri Lanka. The present study investigates the tax burden in Sri Lanka and suggests strategies to address obstacles related to tax collection. The report makes three major recommendations based on the body of current literature and research: increasing the tax base, lowering tax rates, and enhancing tax administration. While lowering rates can improve revenue collection without worsening inequality, expanding the tax base is necessary to offset revenue loss from both legal and illicit tax evasion. Increasing efficiency and legitimacy need better tax administration, especially via the use of contemporary technologies. Through the implementation of these measures, policymakers may improve the fiscal sustainability, fairness, and efficacy of taxes, eventually supporting public finances and helping the underprivileged and common people.
{"title":"Unlocking Sri Lanka's Tax Landscape: A Comprehensive Analysis of Tax Burden and Policy Dynamics in a Sri Lanka","authors":"Shathurshana Rathakrishnan, Ramya Yogaraja","doi":"10.9734/ajeba/2024/v24i51337","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51337","url":null,"abstract":"This study aims to analyze the tax burden in developing nations with special reference to Sri Lanka, Taxation is a crucial source of revenue for public services, but there are still obstacles in the way of efficient tax collection, especially in developing countries like Sri Lanka. The present study investigates the tax burden in Sri Lanka and suggests strategies to address obstacles related to tax collection. The report makes three major recommendations based on the body of current literature and research: increasing the tax base, lowering tax rates, and enhancing tax administration. While lowering rates can improve revenue collection without worsening inequality, expanding the tax base is necessary to offset revenue loss from both legal and illicit tax evasion. Increasing efficiency and legitimacy need better tax administration, especially via the use of contemporary technologies. Through the implementation of these measures, policymakers may improve the fiscal sustainability, fairness, and efficacy of taxes, eventually supporting public finances and helping the underprivileged and common people.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140684468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-19DOI: 10.9734/ajeba/2024/v24i51336
Ogwuche David D., Mohammed Musa. A
The study was conducted to examine the effect of public debt on agricultural output in Nigeria using time series data from 1981 to 2022. The study adopted the Augmented Dickey Fuller (ADF) unit root test, the Bound test for long run equilibrium relationship and the Autoregressive Distributed Lag Model (ARDL). The unit root test result showed that the dependent variable agricultural output and exchange rate are stationary at first difference while variables such as government agricultural expenditure and debt service ratio were stationary at levels. The bound test showed the presence of long run equilibrium relationship. The ARDL result estimated that public debt has no significant impact on agricultural output in Nigeria. Public debt has a negative relationship with agricultural output in Nigeria for the period under study and there is a one directional causality relationship between public debt and agricultural output in Nigeria. Therefore, the study recommended that the country should allocate more funds and improve the institutional quality and policies that will boost the agricultural sector that will be beneficial to the country.
{"title":"Effect of Increasing Public Debt on Agricultural Output in Nigeria: (1981-2022)","authors":"Ogwuche David D., Mohammed Musa. A","doi":"10.9734/ajeba/2024/v24i51336","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51336","url":null,"abstract":"The study was conducted to examine the effect of public debt on agricultural output in Nigeria using time series data from 1981 to 2022. The study adopted the Augmented Dickey Fuller (ADF) unit root test, the Bound test for long run equilibrium relationship and the Autoregressive Distributed Lag Model (ARDL). The unit root test result showed that the dependent variable agricultural output and exchange rate are stationary at first difference while variables such as government agricultural expenditure and debt service ratio were stationary at levels. The bound test showed the presence of long run equilibrium relationship. The ARDL result estimated that public debt has no significant impact on agricultural output in Nigeria. Public debt has a negative relationship with agricultural output in Nigeria for the period under study and there is a one directional causality relationship between public debt and agricultural output in Nigeria. Therefore, the study recommended that the country should allocate more funds and improve the institutional quality and policies that will boost the agricultural sector that will be beneficial to the country.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140682803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-18DOI: 10.9734/ajeba/2024/v24i51335
Wiji Yuwono, I. N. Qamari, .. Nuryakin
Private universities face a high turnover rate. The employment issue is compounded by factors such as long working hours, heavy workloads, customer aggression, stress levels, uncomfortable work schedules, and other work-related challenges commonly faced by employees in these institutions. Addressing this employment issue involves the concepts of job embeddedness and employee engagement. This study aims to understand the factors that can enhance job embeddedness and explore the mediating role of employee engagement strategy in the relationship between work-family conflict, work overload, and job embeddedness. The study involved 205 faculty members from private universities as respondents. This study use a quantitative method and Structural Equation Modeling Partial Least Squares (SEM PLS) was used for analysis. The findings reveal that work overload and work-family conflict have a significant negative impact on both employee engagement strategy and job embeddedness. Conversely, employee engagement strategy positively influences job embeddedness. Moreover, employee engagement strategy mediates the relationship between work-family conflict, work overload, and job embeddedness.
{"title":"Does Employee Engagement Strategy Matter? An Intervention to Improve Job Embeddedness of Employees in the Private Higher Education Institutions","authors":"Wiji Yuwono, I. N. Qamari, .. Nuryakin","doi":"10.9734/ajeba/2024/v24i51335","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51335","url":null,"abstract":"Private universities face a high turnover rate. The employment issue is compounded by factors such as long working hours, heavy workloads, customer aggression, stress levels, uncomfortable work schedules, and other work-related challenges commonly faced by employees in these institutions. Addressing this employment issue involves the concepts of job embeddedness and employee engagement. This study aims to understand the factors that can enhance job embeddedness and explore the mediating role of employee engagement strategy in the relationship between work-family conflict, work overload, and job embeddedness. The study involved 205 faculty members from private universities as respondents. This study use a quantitative method and Structural Equation Modeling Partial Least Squares (SEM PLS) was used for analysis. The findings reveal that work overload and work-family conflict have a significant negative impact on both employee engagement strategy and job embeddedness. Conversely, employee engagement strategy positively influences job embeddedness. Moreover, employee engagement strategy mediates the relationship between work-family conflict, work overload, and job embeddedness.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140689125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research studied cross country trade and economic growth with the analysis of its impact on Nigeria’s economic growth. It covered time series data from 1992 to 2020 with gross domestic product, exports, imports, foreign direct investment and openness of trade as variables included in the model. The ARDL model was used for data analysis and the outcome showed positive and significant relationships between exports, imports and openness of trade and economic growth while the relationship between foreign direct investment and economic growth was negative but, significant. The gap created in this study lies in the year of coverage and the variables of the model which actively are involved in international trade compared to variables of reviewed studies. The study concluded that variables with positive relationships with economic growth are the ones that contribute or cause economic growth to increase as they increase while foreign direct investment that has negative relationship with economic growth only reduces economic growth as it increases in value. It recommended that priority should be given to local production of export goods and the reduction of import goods with the exception of technology imports.
{"title":"Cross-Country Trade and Economic Growth: An Impact Analysis of Nigeria’s Economic Growth","authors":"Vicent Chuks Okafor, Sule Muhammed, Itodo Christian Itodo, Okafoforcha Chika Maureen","doi":"10.9734/ajeba/2024/v24i51331","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51331","url":null,"abstract":"This research studied cross country trade and economic growth with the analysis of its impact on Nigeria’s economic growth. It covered time series data from 1992 to 2020 with gross domestic product, exports, imports, foreign direct investment and openness of trade as variables included in the model. The ARDL model was used for data analysis and the outcome showed positive and significant relationships between exports, imports and openness of trade and economic growth while the relationship between foreign direct investment and economic growth was negative but, significant. The gap created in this study lies in the year of coverage and the variables of the model which actively are involved in international trade compared to variables of reviewed studies. The study concluded that variables with positive relationships with economic growth are the ones that contribute or cause economic growth to increase as they increase while foreign direct investment that has negative relationship with economic growth only reduces economic growth as it increases in value. It recommended that priority should be given to local production of export goods and the reduction of import goods with the exception of technology imports.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.9734/ajeba/2024/v24i51333
Sampson Agyare, Benjamin Odoi, E. N. Wiah
Predicting prices is of great concern and important in the world of economics and finance. In this paper, a comparative analysis of gasoline and diesel in Ghana were analysed using Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA). Based on their forecasting accuracy, the best model was used for predicting future prices of gasoline and diesel from January 2024 to December 2024. A monthly data for the prices of gasoline and diesel spanning from January 2016 to December 2023 taken from the Bank of Ghana (BoG) and the National Petroleum Authority (NPA) was used for the analysis. ARIMA (0; 1; 2) and ARIMA (2; 1; 3) were identified as the best models for gasoline and diesel respectively, SARIMA(0; 1; 2) x (0; 1; 1)12 and SARIMA (1; 1; 1) x (0; 1; 1)12 were also identified after taking a seasonal difference of the series all based on AIC and BIC. The coefficient of the identified models were tested for its significance using the Z-test. The ARIMA and the SARIMA models were compared using RMSE, MAE, and MAPE. The SARIMA models generally performed better than the ARIMA models for both gasoline and diesel except RMSE for diesel where the ARIMA model was slightly better than the SARIMA models with values of 0:9677988 and 1:011531 respectively. The model evaluation proved that the SARIMA models for both gasoline and diesel were superior to the ARIMA and showed that, the SARIMA model is adequate and appropriate for forecasting of prices of gasoline and diesel prices in Ghana.
{"title":"Predicting Petrol and Diesel Prices in Ghana, A Comparison of ARIMA and SARIMA Models","authors":"Sampson Agyare, Benjamin Odoi, E. N. Wiah","doi":"10.9734/ajeba/2024/v24i51333","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51333","url":null,"abstract":"Predicting prices is of great concern and important in the world of economics and finance. In this paper, a comparative analysis of gasoline and diesel in Ghana were analysed using Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA). Based on their forecasting accuracy, the best model was used for predicting future prices of gasoline and diesel from January 2024 to December 2024. A monthly data for the prices of gasoline and diesel spanning from January 2016 to December 2023 taken from the Bank of Ghana (BoG) and the National Petroleum Authority (NPA) was used for the analysis. ARIMA (0; 1; 2) and ARIMA (2; 1; 3) were identified as the best models for gasoline and diesel respectively, SARIMA(0; 1; 2) x (0; 1; 1)12 and SARIMA (1; 1; 1) x (0; 1; 1)12 were also identified after taking a seasonal difference of the series all based on AIC and BIC. The coefficient of the identified models were tested for its significance using the Z-test. The ARIMA and the SARIMA models were compared using RMSE, MAE, and MAPE. The SARIMA models generally performed better than the ARIMA models for both gasoline and diesel except RMSE for diesel where the ARIMA model was slightly better than the SARIMA models with values of 0:9677988 and 1:011531 respectively. The model evaluation proved that the SARIMA models for both gasoline and diesel were superior to the ARIMA and showed that, the SARIMA model is adequate and appropriate for forecasting of prices of gasoline and diesel prices in Ghana.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140690835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.9734/ajeba/2024/v24i51332
Naftaly Mose
This study investigated the potential role of corruption and democracy in the expenditure-economic growth nexus. Economic literature predicts economic growth-enhancing activities of various core functions of government. However, excess government expenditure, in corrupt and undemocratic countries, may slow down the overall performance of the economy through rent-seeking activities, ineffectiveness and engaging in unproductive projects. The research objective is to analyze the role of democracy and corruption levels in the effects of government expenditure on economic growth in Kenya over the period 1990-2020. The generalized method of moments (GMM) framework was exploited to estimate the regression model. The findings indicate that government expenditure, corruption and democracy have positive and direct effects on economic growth through improvements in the efficiency of government expenditure. Besides, this study finds that corruption and democracy can have indirect negative effects on growth through deterioration of the efficiency of government expenditure. The study results suggest that government policies aimed at promoting democracy and controlling corruption can have direct positive effects on economic growth and indirect negative effects through their influence in the efficiency of government expenditure.
{"title":"Government Expenditure and Economic Growth: Does Corruption and Democracy Matter?","authors":"Naftaly Mose","doi":"10.9734/ajeba/2024/v24i51332","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51332","url":null,"abstract":"This study investigated the potential role of corruption and democracy in the expenditure-economic growth nexus. Economic literature predicts economic growth-enhancing activities of various core functions of government. However, excess government expenditure, in corrupt and undemocratic countries, may slow down the overall performance of the economy through rent-seeking activities, ineffectiveness and engaging in unproductive projects. The research objective is to analyze the role of democracy and corruption levels in the effects of government expenditure on economic growth in Kenya over the period 1990-2020. The generalized method of moments (GMM) framework was exploited to estimate the regression model. The findings indicate that government expenditure, corruption and democracy have positive and direct effects on economic growth through improvements in the efficiency of government expenditure. Besides, this study finds that corruption and democracy can have indirect negative effects on growth through deterioration of the efficiency of government expenditure. The study results suggest that government policies aimed at promoting democracy and controlling corruption can have direct positive effects on economic growth and indirect negative effects through their influence in the efficiency of government expenditure.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140693809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.9734/ajeba/2024/v24i51329
Pushpam Singh, S. Baral
Handloom products represent an emotional significance in addition to their utilitarian function. It reminds us of the artistic skills and cultural uniqueness that exist in our nation. GI registrations have been granted to the handloom segment to protect the artists and maintain the authenticity of weaving. Due to a lack of knowledge about GI tag handloom products, consumers often face a dilemma when deciding whether or not to buy handloom products when other power-loomed fabrics are available. This study addresses the research gap by examining the factors contributing to consumers' willingness to buy Champa’s silk handloom products with GI tags. People generally associate the Champa region with the production of kosha silk. This study has brought in the Theory of Planned Behavior (TPB) as a base to develop a theoretical model for determining the intention to buy handloom products with GI tags. Using a convenient sampling approach, the researchers targeted potential handloom consumers as a demographic concern. A total of 250 questionnaires were distributed; out of those, 197 were deemed suitable for further study. The Theory of Planned Behavior (TPB) evaluates the behavioral characteristics of consumers while making purchases. The models were evaluated using the SmartPLS4 software. The findings showed that price veracity and consumer trust have a considerable positive impact on attitude. The handloom products with GI tags build potential trust among consumers on handloom products. Handloom store retailers should take the initiative to make consumers aware of the authenticity of their products, which prominently include GI certification labels on handloom items.
手织产品除了实用功能外，还代表着情感意义。它让我们想起我们民族的艺术技能和文化独特性。为保护艺术家和维护编织的真实性，我们对手工编织品进行了 GI 注册。由于缺乏对 GI 标签手摇纺织机产品的了解，消费者在决定是否购买手摇纺织机产品时往往会面临两难选择，因为有其他动力纺织机面料可供选择。本研究通过考察消费者是否愿意购买带有 GI 标签的占婆丝绸手工纺织品，填补了这一研究空白。人们通常会将占婆地区与柯萨丝的生产联系起来。本研究以计划行为理论（TPB）为基础，建立了一个理论模型来确定购买带有 GI 标签的手织产品的意愿。研究人员采用方便抽样的方法，将潜在的手工编织消费者作为人口关注的目标。共发放了 250 份调查问卷，其中 197 份被认为适合进一步研究。计划行为理论（TPB）评估了消费者在购买时的行为特征。使用 SmartPLS4 软件对模型进行了评估。研究结果表明，价格真实性和消费者信任对购买态度有相当大的积极影响。带有 GI 标签的手工编织产品可建立消费者对手工编织产品的潜在信任。手摇纺织机商店零售商应主动让消费者了解其产品的真实性，在手摇纺织机产品的显著位置贴上 GI 认证标签。
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