Pub Date : 2023-04-15DOI: 10.15408/sjie.v12i1.31274
Jamhul Haer, D. Yuniarti
This study aims to determine the social and economic variables that influence workers to become migrant workers. This research was conducted in Central Lombok Regency, West Nusa Tenggara. As a sample in this study, we surveyed 100 people, consisting of 50 ex-migrant workers and 50 local workers. The analytical tool used was logit analysis. The estimation results show that the influential social variables are gender, age, marital status, and education. Economic variables that affect former migrant workers include ownership of savings, ownership of loans, ownership of agricultural land, and ownership of livestock, all of which have a negative effect. The policy implications of this research are the need for new regulations or revisions to previous regulations to improve human resources at the time of pre-placement. This regulation should involve training in language skills and the abilities required for the relevant field of work to increase competitiveness. Furthermore, policies to empower migrant workers post-placement should be implemented to provide more significant opportunities and support for working or starting businesses in their home countries.JEL Classification: J61, O15How to Cite:Haer, J., & Yuniarti, D. (2023). The Migrant Labor Determinants: Do Socio-Economic Factors Affect?. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 117-130. https://doi.org/10.15408/sjie.v12i1.31274.
{"title":"Migrant Labor Determinants: Do Socio-Economic Factors Affect?","authors":"Jamhul Haer, D. Yuniarti","doi":"10.15408/sjie.v12i1.31274","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.31274","url":null,"abstract":"This study aims to determine the social and economic variables that influence workers to become migrant workers. This research was conducted in Central Lombok Regency, West Nusa Tenggara. As a sample in this study, we surveyed 100 people, consisting of 50 ex-migrant workers and 50 local workers. The analytical tool used was logit analysis. The estimation results show that the influential social variables are gender, age, marital status, and education. Economic variables that affect former migrant workers include ownership of savings, ownership of loans, ownership of agricultural land, and ownership of livestock, all of which have a negative effect. The policy implications of this research are the need for new regulations or revisions to previous regulations to improve human resources at the time of pre-placement. This regulation should involve training in language skills and the abilities required for the relevant field of work to increase competitiveness. Furthermore, policies to empower migrant workers post-placement should be implemented to provide more significant opportunities and support for working or starting businesses in their home countries.JEL Classification: J61, O15How to Cite:Haer, J., & Yuniarti, D. (2023). The Migrant Labor Determinants: Do Socio-Economic Factors Affect?. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 117-130. https://doi.org/10.15408/sjie.v12i1.31274.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124417934","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.29496
N. Khairina, Arbi Wijaya
Improving human resource quality in Eastern Indonesia has become a primary concern in many development programs enacted in Indonesia. The KTI regions needed to catch up and often experienced development problems. Several challenges, such as the significant disparity in education and health facilities compared to the western part of Indonesia, have hindered the development process of KTI. This research aims to find the determinants of human development in KTI. We analyze the regional fiscal dependency ratio, employment level, allocation of DAU (general allocation fund) by the central government, and poverty gap level as determinants of the Human Development Index in KTI. Using the Fixed Effect panel data analysis, we found that the general allocation fund, employment, and fiscal dependency ratio are positively associated with HDI in KTI regions. In contrast, the poverty gap is negatively associated with HDI in KTI regions. Our empirical finding implies that central government transfers play an essential role in the human development process, while the poverty problem is one of the main obstacles to improving the human resources quality in KTI regions.JEL Classification: H80, L38, O15How to Cite:Khairina, N., & Wijaya, A. (2023). The Determinant of Human Development in the Eastern Part of Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 83-96. https://doi.org/10.15408/sjie.v12i1.29496.
{"title":"The Determinant of Human Development in Eastern Part of Indonesia during 2012-2020","authors":"N. Khairina, Arbi Wijaya","doi":"10.15408/sjie.v12i1.29496","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.29496","url":null,"abstract":"Improving human resource quality in Eastern Indonesia has become a primary concern in many development programs enacted in Indonesia. The KTI regions needed to catch up and often experienced development problems. Several challenges, such as the significant disparity in education and health facilities compared to the western part of Indonesia, have hindered the development process of KTI. This research aims to find the determinants of human development in KTI. We analyze the regional fiscal dependency ratio, employment level, allocation of DAU (general allocation fund) by the central government, and poverty gap level as determinants of the Human Development Index in KTI. Using the Fixed Effect panel data analysis, we found that the general allocation fund, employment, and fiscal dependency ratio are positively associated with HDI in KTI regions. In contrast, the poverty gap is negatively associated with HDI in KTI regions. Our empirical finding implies that central government transfers play an essential role in the human development process, while the poverty problem is one of the main obstacles to improving the human resources quality in KTI regions.JEL Classification: H80, L38, O15How to Cite:Khairina, N., & Wijaya, A. (2023). The Determinant of Human Development in the Eastern Part of Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 83-96. https://doi.org/10.15408/sjie.v12i1.29496.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124845046","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.25456
Fadhlan Zuhdi, Achmad Maulana, K. R. Rambe
Colombian coffee exports influence Indonesian coffee exports in the short term, so this study aims to forecast the export volume of Indonesian and Colombian coffee in the future. The study used time-series data from 2001 to 2021, further analyzed using the ARIMA model. Based on the projection, Indonesian coffee export is projected to increase with an average value of 1.14 percent and a potential increase of 1.79 percent. However, this result still needed to reach the desired value since the projected coffee export of Indonesia in 2025 only reached 429 172 tons, or lower than the export quantity of Colombian coffee in 2011. This finding indicated that Indonesian coffee export tended to increase stagnantly and was considered low compared to the increasing export of Colombian coffee.JEL Classification: C22, C53, E37, F17, Q13How to Cite:Zuhdi, F., Maulana A. S., & Rambe, K. R. (2023). Forecasting Export Volume of Indonesian and Colombian Coffee in the World Market using ARIMA Model. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 57-68. https://doi.org/10.15408/sjie.v12i1.25456.
哥伦比亚咖啡出口在短期内会影响印尼咖啡出口，因此本研究旨在预测未来印尼和哥伦比亚咖啡的出口量。该研究使用了2001年至2021年的时间序列数据，并使用ARIMA模型进行了进一步分析。根据预测，印尼咖啡出口预计将以平均1.14%的价格增长，潜在增长率为1.79%。然而，这一结果仍然需要达到预期值，因为2025年印度尼西亚预计的咖啡出口量仅为429172吨，或低于2011年哥伦比亚咖啡的出口量。这一发现表明，印度尼西亚咖啡出口趋于停滞不前，与哥伦比亚咖啡出口的增长相比，被认为是低的。JEL分类:C22, C53, E37, F17, q13如何引用:Zuhdi, F. Maulana A. S. & Rambe, K. R.(2023)。用ARIMA模型预测印尼和哥伦比亚咖啡在世界市场的出口量。意义[j] .经济研究，12(1)，57-68。https://doi.org/10.15408/sjie.v12i1.25456。
{"title":"Forecasting Export Volume of Indonesian and Colombian Coffee in the World Market using ARIMA Model","authors":"Fadhlan Zuhdi, Achmad Maulana, K. R. Rambe","doi":"10.15408/sjie.v12i1.25456","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.25456","url":null,"abstract":"Colombian coffee exports influence Indonesian coffee exports in the short term, so this study aims to forecast the export volume of Indonesian and Colombian coffee in the future. The study used time-series data from 2001 to 2021, further analyzed using the ARIMA model. Based on the projection, Indonesian coffee export is projected to increase with an average value of 1.14 percent and a potential increase of 1.79 percent. However, this result still needed to reach the desired value since the projected coffee export of Indonesia in 2025 only reached 429 172 tons, or lower than the export quantity of Colombian coffee in 2011. This finding indicated that Indonesian coffee export tended to increase stagnantly and was considered low compared to the increasing export of Colombian coffee.JEL Classification: C22, C53, E37, F17, Q13How to Cite:Zuhdi, F., Maulana A. S., & Rambe, K. R. (2023). Forecasting Export Volume of Indonesian and Colombian Coffee in the World Market using ARIMA Model. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 57-68. https://doi.org/10.15408/sjie.v12i1.25456.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128406039","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.29247
M. Agustina, Hartiningsih Astuti, Joko Susilo
The economic problem is one of the things that the Indonesian government must consider. One of them is unemployment because it impacts the socioeconomic conditions of society. This condition is necessary to suppress or reduce the unemployment rate. This research was conducted to determine the conditions and variables affecting Indonesia's unemployment rate. The data analysis used is an econometric model on dynamic panel data using the Generalized Method of Moments (GMM) developed by Arellano Bond. The study results show that the Human Development Index, inflation, minimum wages, and worker numbers significantly influence Indonesia's unemployment. In addition, the unemployment lag also has a significantly positive effect on unemployment. The findings of this study provide information on strategies for increasing the demand and supply of labor, wage regulation, search, match effectiveness in the labor market, and realistic short- and long-term policies. JEL Classification: C33, E24, J64 How to Cite:Agustina, M., Astuti, H., & Susilo, J. H. (2023). Unemployment in Indonesia: An Analysis of Economic Determinants from 2012-2021. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 69-82. https://doi.org/10.15408/sjie.v12i1.29247.
{"title":"Unemployment in Indonesia: An Analysis of Economic Determinants from 2012-2021","authors":"M. Agustina, Hartiningsih Astuti, Joko Susilo","doi":"10.15408/sjie.v12i1.29247","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.29247","url":null,"abstract":"The economic problem is one of the things that the Indonesian government must consider. One of them is unemployment because it impacts the socioeconomic conditions of society. This condition is necessary to suppress or reduce the unemployment rate. This research was conducted to determine the conditions and variables affecting Indonesia's unemployment rate. The data analysis used is an econometric model on dynamic panel data using the Generalized Method of Moments (GMM) developed by Arellano Bond. The study results show that the Human Development Index, inflation, minimum wages, and worker numbers significantly influence Indonesia's unemployment. In addition, the unemployment lag also has a significantly positive effect on unemployment. The findings of this study provide information on strategies for increasing the demand and supply of labor, wage regulation, search, match effectiveness in the labor market, and realistic short- and long-term policies. JEL Classification: C33, E24, J64 How to Cite:Agustina, M., Astuti, H., & Susilo, J. H. (2023). Unemployment in Indonesia: An Analysis of Economic Determinants from 2012-2021. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 69-82. https://doi.org/10.15408/sjie.v12i1.29247.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128075367","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.27119
Sopira Qori Amalia, S. Suriani
Lending plays a vital role for banks as a source of income from deposits or interest paid by debtors. This study aims to analyze the effect of policy interest rates and liquidity from the money supply on bank credit risk in Indonesia in the short and long term. This study uses the Autoregressive Distributed Lag method and the Granger Causality test as analytical tools. The data used are policy interest rates, total money supply, and total non-performing loans. The data period under study is 2017-2022. The study results show that in the short term, policy interest rates and the money supply negatively affect bank credit risk in Indonesia. However, in the long term, policy interest rates have a negative effect, and the money supply does not affect bank credit risk in Indonesia. Policy interest rates have a one-way causality relationship with bank credit risk. Meanwhile, bank credit risk has a one-way causality relationship to the money supply. This condition represents that policy interest rates can reduce bank credit risk in Indonesia. The Bank of Indonesia, as the monetary authority, needs to pay attention to fluctuations in policy interest rates and mitigate excess money supply so that credit risk does not increase.JEL Classification: F43, O11, P34How to Cite:Amalia, S. Q., & Suriani, S. (2023). Do Interest Rate Policy and Liquidity Affect Banking Credit Risk in Indonesia?. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 145-160. https://doi.org/10.15408/sjie.v12i1.27119.
{"title":"Do Interest Rate Policy and Liquidity Effect on Banking Credit Risk in Indonesia?","authors":"Sopira Qori Amalia, S. Suriani","doi":"10.15408/sjie.v12i1.27119","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.27119","url":null,"abstract":"Lending plays a vital role for banks as a source of income from deposits or interest paid by debtors. This study aims to analyze the effect of policy interest rates and liquidity from the money supply on bank credit risk in Indonesia in the short and long term. This study uses the Autoregressive Distributed Lag method and the Granger Causality test as analytical tools. The data used are policy interest rates, total money supply, and total non-performing loans. The data period under study is 2017-2022. The study results show that in the short term, policy interest rates and the money supply negatively affect bank credit risk in Indonesia. However, in the long term, policy interest rates have a negative effect, and the money supply does not affect bank credit risk in Indonesia. Policy interest rates have a one-way causality relationship with bank credit risk. Meanwhile, bank credit risk has a one-way causality relationship to the money supply. This condition represents that policy interest rates can reduce bank credit risk in Indonesia. The Bank of Indonesia, as the monetary authority, needs to pay attention to fluctuations in policy interest rates and mitigate excess money supply so that credit risk does not increase.JEL Classification: F43, O11, P34How to Cite:Amalia, S. Q., & Suriani, S. (2023). Do Interest Rate Policy and Liquidity Affect Banking Credit Risk in Indonesia?. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 145-160. https://doi.org/10.15408/sjie.v12i1.27119.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131171950","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.27887
N. Hidayah, Nur Syam Ade
This research aims to determine the factors influencing online donation decisions in religious and non-religious philanthropic institutions. 105 questionnaires were disseminated to the respondents in Jabodetabek (Jakarta, Bogor, Depok, Tangerang, and Bekasi), Indonesia, and analyzed using logistic regression. The findings reveal that in religious philanthropic institutions, the impact has a significant effect, while ease of use, convenience, and innovation have no effect on online donation decisions. In non-religious philanthropic institutions, convenience, innovation, and impact have a significant effect, while ease of use has no effect on online donation decisions. There is a slight difference in factors influencing online donation decisions in religious and non-religious philanthropic institutions. Religious philanthropic institutions should expand their impact to raise their donors. Meanwhile, non-religious philanthropic institutions should improve the quality of their digital platform and expand the innovation and impact of the programs to increase their donors.JEL Classification: D64, L31, Z12How to Cite:Hidayah, N., & Ade, N. S. (2023). Preferences for Donating to Religious and Non-Religious Philanthropic Institution: Evidence in Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 191-206. https://doi.org/10.15408/sjie.12ii1.27887.
本研究旨在探讨影响宗教与非宗教慈善机构在线捐赠决策的因素。105份问卷分发给印度尼西亚Jabodetabek(雅加达、茂物、德波、丹格朗和勿加西)的受访者，并使用逻辑回归进行分析。研究结果显示，在宗教慈善机构中，影响具有显著影响，而易用性，便利性和创新对在线捐赠决策没有影响。在非宗教慈善机构中，便利性、创新性和影响力对在线捐赠决策有显著影响，而易用性对在线捐赠决策没有影响。在宗教和非宗教慈善机构中，影响在线捐赠决策的因素略有不同。宗教慈善机构要扩大影响力，筹集捐款。同时，非宗教慈善机构应提高其数字平台的质量，扩大项目的创新性和影响力，以增加他们的捐助者。JEL分类:D64, L31, z12如何引用:Hidayah, N.， & Ade, N. S.(2023)。捐赠给宗教和非宗教慈善机构的偏好:印度尼西亚的证据。意义[j] .经济研究，12(1)，191-206。https://doi.org/10.15408/sjie.12ii1.27887。
{"title":"Preferences for Donating to Religious and Non-Religious Philanthropic Institutions: Evidence in Indonesia","authors":"N. Hidayah, Nur Syam Ade","doi":"10.15408/sjie.v12i1.27887","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.27887","url":null,"abstract":"This research aims to determine the factors influencing online donation decisions in religious and non-religious philanthropic institutions. 105 questionnaires were disseminated to the respondents in Jabodetabek (Jakarta, Bogor, Depok, Tangerang, and Bekasi), Indonesia, and analyzed using logistic regression. The findings reveal that in religious philanthropic institutions, the impact has a significant effect, while ease of use, convenience, and innovation have no effect on online donation decisions. In non-religious philanthropic institutions, convenience, innovation, and impact have a significant effect, while ease of use has no effect on online donation decisions. There is a slight difference in factors influencing online donation decisions in religious and non-religious philanthropic institutions. Religious philanthropic institutions should expand their impact to raise their donors. Meanwhile, non-religious philanthropic institutions should improve the quality of their digital platform and expand the innovation and impact of the programs to increase their donors.JEL Classification: D64, L31, Z12How to Cite:Hidayah, N., & Ade, N. S. (2023). Preferences for Donating to Religious and Non-Religious Philanthropic Institution: Evidence in Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 191-206. https://doi.org/10.15408/sjie.12ii1.27887.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132161878","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.29894
Yulvira Rizka Putri Nugraha, Maal Naylah
Indonesia recorded the lowest average foreign tourist arrivals compared to ASEAN central countries, thus proving that Indonesia has yet to be thoroughly used as the primary destination for foreign tourists. Market forces influence the low number of foreign tourist arrivals in Indonesia. This study analyzes the impact of determining factors of ASEAN tourism demand in Indonesia. Panel data analysis with the Fixed Effect Model selection model was used to explore Indonesia’s tourism demand from five ASEAN countries from 2001 to 2020. The results showed that tourist expenditure, CPI, terrorism, and COVID-19 significantly negatively affect the number of Indonesian tourist visits. In contrast, the exchange rate and GDP per capita significantly positively impact the number of Indonesian tourist visits. Indonesia needs to improve the quality of tourism products and services to increase foreign tourist arrivals and implement international cooperation to create promotions for domestic tourism.JEL Classification: C33, L83, Z3How to Cite:Nugraha, Y. R. P., & Naylah, M. (2022). Indonesian Tourism Demand by ASEAN Tourist: A Panel Data Analysis. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 45-56. https://doi.org/10.15408/sjie.v12i1.27999.
与东盟中部国家相比，印度尼西亚的平均外国游客人数最低，从而证明印度尼西亚尚未完全成为外国游客的主要目的地。市场力量影响了到印尼旅游的外国游客数量较少。本研究分析东盟旅游需求决定因素对印尼的影响。采用面板数据分析和固定效应模型选择模型，探讨2001年至2020年东盟五国对印尼的旅游需求。结果显示，旅游支出、CPI、恐怖主义和COVID-19显著负向影响印尼游客访问量。相比之下，汇率和人均GDP对印尼游客数量有显著的正向影响。印尼需要提高旅游产品和服务的质量，以增加外国游客，并实施国际合作，为国内旅游创造促销。JEL分类:C33, L83, z3如何引用:Nugraha, Y. R. P， & Naylah, M.(2022)。东盟游客对印尼旅游需求的面板数据分析。意义[j] .经济学报，12(1)，45-56。https://doi.org/10.15408/sjie.v12i1.27999。
{"title":"Indonesian Tourism Demand by ASEAN Tourist: A Panel Data Analysis","authors":"Yulvira Rizka Putri Nugraha, Maal Naylah","doi":"10.15408/sjie.v12i1.29894","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.29894","url":null,"abstract":"Indonesia recorded the lowest average foreign tourist arrivals compared to ASEAN central countries, thus proving that Indonesia has yet to be thoroughly used as the primary destination for foreign tourists. Market forces influence the low number of foreign tourist arrivals in Indonesia. This study analyzes the impact of determining factors of ASEAN tourism demand in Indonesia. Panel data analysis with the Fixed Effect Model selection model was used to explore Indonesia’s tourism demand from five ASEAN countries from 2001 to 2020. The results showed that tourist expenditure, CPI, terrorism, and COVID-19 significantly negatively affect the number of Indonesian tourist visits. In contrast, the exchange rate and GDP per capita significantly positively impact the number of Indonesian tourist visits. Indonesia needs to improve the quality of tourism products and services to increase foreign tourist arrivals and implement international cooperation to create promotions for domestic tourism.JEL Classification: C33, L83, Z3How to Cite:Nugraha, Y. R. P., & Naylah, M. (2022). Indonesian Tourism Demand by ASEAN Tourist: A Panel Data Analysis. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 45-56. https://doi.org/10.15408/sjie.v12i1.27999.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128045682","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.31555
R. Rahmawati, Nurul Rifani
This research investigates the preferences of Muslim taxpayers between paying zakat or taxes. 119 Muslim taxpayers were recruited for online and offline survey studies. Factor analysis determines factors influencing Muslim taxpayer preferences between paying zakat or taxes. This study shows that Muslim taxpayers preferred to pay zakat rather than taxes. The faith factor has influenced Muslim taxpayers' preferences to pay zakat compared to paying taxes. Other factors include the level of compliance with obligations, the service quality factor for zakat management, the zakat knowledge level factor, the tax knowledge level factor, the religious practice factor, the Tax Services office service quality factor, and the tax benefit factor. From these results, it is expected that the government should evaluate tax policy that previously treated zakat only as deductible income to become a tax credit.JEL Classification: F6, Q49, R2How to Cite:Rahmawati, R., & Rifani, N. (2023). Muslim Taxpayer’s Preference: Paying Tax or Zakat. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 207-220. https://doi.org/10.15408/sjie.12ii1.31555.
{"title":"Muslim Taxpayer's Preference: Paying Tax or Zakat?","authors":"R. Rahmawati, Nurul Rifani","doi":"10.15408/sjie.v12i1.31555","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.31555","url":null,"abstract":"This research investigates the preferences of Muslim taxpayers between paying zakat or taxes. 119 Muslim taxpayers were recruited for online and offline survey studies. Factor analysis determines factors influencing Muslim taxpayer preferences between paying zakat or taxes. This study shows that Muslim taxpayers preferred to pay zakat rather than taxes. The faith factor has influenced Muslim taxpayers' preferences to pay zakat compared to paying taxes. Other factors include the level of compliance with obligations, the service quality factor for zakat management, the zakat knowledge level factor, the tax knowledge level factor, the religious practice factor, the Tax Services office service quality factor, and the tax benefit factor. From these results, it is expected that the government should evaluate tax policy that previously treated zakat only as deductible income to become a tax credit.JEL Classification: F6, Q49, R2How to Cite:Rahmawati, R., & Rifani, N. (2023). Muslim Taxpayer’s Preference: Paying Tax or Zakat. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 207-220. https://doi.org/10.15408/sjie.12ii1.31555.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121140737","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.31070
Imran Tajuddin, Amir Mahmud, M. H. Syahnur
The Indonesian government aims to promote information and communication technology (ICT) among micro and small enterprises to enhance their competitiveness in the global market. A survey was conducted among 180 micro and small enterprise owners in Makassar City using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The results showed that Performance Expectancy (PE) and Effort Expectancy (EE) insignificantly affect the Behavioral Intentions (BI) of the enterprise owners. It also indicated that Social Influence (SI) and Facilitating Conditions (FC) positively influence the adoption of ICT in micro and small enterprises. This study is novel and significant as it addresses a gap in the literature on digital transformation strategies, particularly in Makassar City, where such investigations are rare. Consequently, this study presents an original contribution to the field.JEL Classification: M2, O3, R2How to Cite:Tajuddin, I., Mahmud, A., & Syahnur, M. H. (2023). Determinants of Strategic Factors for Digital Transformation in Micro and Small Enterprise in Makasar City. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 131-144. https://doi.org/10.15408/sjie.v12i1.31070.
{"title":"Determinants of Strategic Factors for Digital Transformation in Micro and Small Enterprises in Makassar City","authors":"Imran Tajuddin, Amir Mahmud, M. H. Syahnur","doi":"10.15408/sjie.v12i1.31070","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.31070","url":null,"abstract":"The Indonesian government aims to promote information and communication technology (ICT) among micro and small enterprises to enhance their competitiveness in the global market. A survey was conducted among 180 micro and small enterprise owners in Makassar City using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The results showed that Performance Expectancy (PE) and Effort Expectancy (EE) insignificantly affect the Behavioral Intentions (BI) of the enterprise owners. It also indicated that Social Influence (SI) and Facilitating Conditions (FC) positively influence the adoption of ICT in micro and small enterprises. This study is novel and significant as it addresses a gap in the literature on digital transformation strategies, particularly in Makassar City, where such investigations are rare. Consequently, this study presents an original contribution to the field.JEL Classification: M2, O3, R2How to Cite:Tajuddin, I., Mahmud, A., & Syahnur, M. H. (2023). Determinants of Strategic Factors for Digital Transformation in Micro and Small Enterprise in Makasar City. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 131-144. https://doi.org/10.15408/sjie.v12i1.31070.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127376936","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 : 2023-04-15DOI: 10.15408/sjie.v12i1.29975
Muhammad Aja Fajrian, N. Achsani, W. Widyastutik
The impact of foreign direct investment (FDI) on the host country’s economic growth is often discussed without considering the abundance of natural resources in the host country. The present study examines the relationship between FDI and economic growth while considering the presence of natural resources. Using panel data regression with data from 124 countries, the study finds that FDI inflows are increasing significantly, with pronounced differences between countries based on their per capita income levels. The results of the panel data regression analysis show that both FDI and natural resources positively affect economic growth. However, an increase in natural resources reduces the overall impact of FDI on economic growth. This result suggests that countries should attract FDI in sectors outside of natural resources to maximize the positive effects of FDI on economic growth.JEL Classification: F43, O4, P28, P45, Q0How to Cite:Fajrian, M. A., Achsani, N. A., & Widyastutik. (2023). Foreign Direct Investment, Abundance of Natural Resources, and Economic Growth. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 11-26. https://doi.org/10.15408/sjie.v12i1.29975.
在讨论外国直接投资(FDI)对东道国经济增长的影响时，往往不考虑东道国丰富的自然资源。本研究考察了外国直接投资与经济增长之间的关系，同时考虑了自然资源的存在。通过对124个国家的数据进行面板数据回归，该研究发现，外国直接投资流入正在显著增加，不同国家的人均收入水平存在显著差异。面板数据回归分析结果表明，FDI和自然资源对经济增长均有正向影响。然而，自然资源的增加减少了外国直接投资对经济增长的总体影响。这一结果表明，各国应在自然资源以外的部门吸引外国直接投资，以最大限度地发挥外国直接投资对经济增长的积极作用。JEL分类:F43, O4, P28, P45, q0如何引用:Fajrian, M. A.， Achsani, N. A.， & Widyastutik。(2023)。外国直接投资、丰富的自然资源和经济增长。意义[j] .经济研究，12(1)，11-26。https://doi.org/10.15408/sjie.v12i1.29975。
{"title":"Foreign Direct Investment (FDI), Abundance of Natural Resources, and Economic Growth","authors":"Muhammad Aja Fajrian, N. Achsani, W. Widyastutik","doi":"10.15408/sjie.v12i1.29975","DOIUrl":"https://doi.org/10.15408/sjie.v12i1.29975","url":null,"abstract":"The impact of foreign direct investment (FDI) on the host country’s economic growth is often discussed without considering the abundance of natural resources in the host country. The present study examines the relationship between FDI and economic growth while considering the presence of natural resources. Using panel data regression with data from 124 countries, the study finds that FDI inflows are increasing significantly, with pronounced differences between countries based on their per capita income levels. The results of the panel data regression analysis show that both FDI and natural resources positively affect economic growth. However, an increase in natural resources reduces the overall impact of FDI on economic growth. This result suggests that countries should attract FDI in sectors outside of natural resources to maximize the positive effects of FDI on economic growth.JEL Classification: F43, O4, P28, P45, Q0How to Cite:Fajrian, M. A., Achsani, N. A., & Widyastutik. (2023). Foreign Direct Investment, Abundance of Natural Resources, and Economic Growth. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 11-26. https://doi.org/10.15408/sjie.v12i1.29975.","PeriodicalId":266329,"journal":{"name":"Signifikan: Jurnal Ilmu Ekonomi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133415247","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：