Pub Date : 2023-11-09DOI: 10.12928/optimum.v13i2.8693
Elsa Widia, Sri Mona Octafia
Dominantly, women's SMEs in the city of Padang claim to experience capital problems. But basically, capital is not only related to financial issues but also social issues, including social capital. In general, research tends to focus on the overall performance of MSMEs without specific studies on social capital and women. This research aims to analyze the role of social capital resources in women-owned MSMEs in Padang City using qualitative analysis methods such as Descriptive Crosstabs and Binary Logistic Regression Analysis. The social capital variables raised are the level of trust, norms or customs, mutual help and participation of MSMEs in every activity. Data will be collected through questionnaires, interviews and observations in all districts in the city of Padang. The research results reveal that social capital is considered to be able to build strong networks and has the potential to improve the performance of women-owned MSMEs in Padang City. Through surveys and interviews, this research can conclude that the variables of mutual help/cooperation and trust have been proven to be able to build their business relationships, which ultimately affect their productivity.
{"title":"The role of social capital for the development of women's enterprises: A case study of MSMEs in Padang City","authors":"Elsa Widia, Sri Mona Octafia","doi":"10.12928/optimum.v13i2.8693","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.8693","url":null,"abstract":"Dominantly, women's SMEs in the city of Padang claim to experience capital problems. But basically, capital is not only related to financial issues but also social issues, including social capital. In general, research tends to focus on the overall performance of MSMEs without specific studies on social capital and women. This research aims to analyze the role of social capital resources in women-owned MSMEs in Padang City using qualitative analysis methods such as Descriptive Crosstabs and Binary Logistic Regression Analysis. The social capital variables raised are the level of trust, norms or customs, mutual help and participation of MSMEs in every activity. Data will be collected through questionnaires, interviews and observations in all districts in the city of Padang. The research results reveal that social capital is considered to be able to build strong networks and has the potential to improve the performance of women-owned MSMEs in Padang City. Through surveys and interviews, this research can conclude that the variables of mutual help/cooperation and trust have been proven to be able to build their business relationships, which ultimately affect their productivity.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135290550","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}
There are inequality at the rural and urban levels that must be concern to the government. To reduce the inequality is to optimize village funds. Allocation of village funds is a stimulus to accelerate the village economy. Fiscal stimulus through village funds boost the economy at the village level. This research examines the impact of village fund allocation on economic performance in Java and non-Java. The Difference in Difference (DiD) method compares the average value of the observed variables before the village fund policy and the average variable value of development indicators and welfare indicators after the policy was implemented. The allocation of village fund has some good impacts on Indonesia's rural economy. We found that funding can boost welfare, such as improving clean water, per capita income, human development index, and reducing poverty. We also discovered that the Java area has a greater impact than the non-Java area. The results of this study provide essential information for formulating government plans and policies as a policy reference and evaluating the implementation of regional autonomy policies and allocation of village funds in Indonesia.
{"title":"The welfare impact of village fund allocation in Indonesia: The comparative of Java and Non-Java","authors":"Mardalena Mardalena, Ardi Adji, Siti Rohima, Harunurrasyid Harunurrasyid, Rahma Nida","doi":"10.12928/optimum.v13i2.8668","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.8668","url":null,"abstract":"There are inequality at the rural and urban levels that must be concern to the government. To reduce the inequality is to optimize village funds. Allocation of village funds is a stimulus to accelerate the village economy. Fiscal stimulus through village funds boost the economy at the village level. This research examines the impact of village fund allocation on economic performance in Java and non-Java. The Difference in Difference (DiD) method compares the average value of the observed variables before the village fund policy and the average variable value of development indicators and welfare indicators after the policy was implemented. The allocation of village fund has some good impacts on Indonesia's rural economy. We found that funding can boost welfare, such as improving clean water, per capita income, human development index, and reducing poverty. We also discovered that the Java area has a greater impact than the non-Java area. The results of this study provide essential information for formulating government plans and policies as a policy reference and evaluating the implementation of regional autonomy policies and allocation of village funds in Indonesia.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 40","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135290654","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 : 2023-11-09DOI: 10.12928/optimum.v13i2.8123
Yahya Mahda Vikia
The digital ecosystem is a collection of integrated information technologies and entities. The development of the digital ecosystem in Indonesia has shown a positive trend and has significant impacts on the national economy. The penetration of Information and Communication Technology (ICT) has brought positive effects such as increased accessibility, business growth, and digital economic transformation. To assess the progress of this technology, the Solow-Swan approach is employed. This research aims to examine how investment, labor force, and technology, represented by the level of mobile phone usage and Base Transceiver Station (BTS) infrastructure, can influence the economy through Gross Regional Domestic Product (GRDP) in the 34 provinces of Indonesia. This paper aims to examine how investment, labor, and technology can affect the economy through the GRDP in 34 provinces in Indonesia. The data used is panel data from 2018 to 2021 for 34 provinces in Indonesia. The research results show that investment and technological progress have a significant positive impact. On the other hand, the labor force has no effect on the economy in 34 provinces in Indonesia. Overall, this research has not been able to validate the Solow-Swan theory in the context of 34 provinces in Indonesia for the 2018-2021 period.
{"title":"The Solow-Swan theories: An empirical evidence in various Indonesian Provinces","authors":"Yahya Mahda Vikia","doi":"10.12928/optimum.v13i2.8123","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.8123","url":null,"abstract":"The digital ecosystem is a collection of integrated information technologies and entities. The development of the digital ecosystem in Indonesia has shown a positive trend and has significant impacts on the national economy. The penetration of Information and Communication Technology (ICT) has brought positive effects such as increased accessibility, business growth, and digital economic transformation. To assess the progress of this technology, the Solow-Swan approach is employed. This research aims to examine how investment, labor force, and technology, represented by the level of mobile phone usage and Base Transceiver Station (BTS) infrastructure, can influence the economy through Gross Regional Domestic Product (GRDP) in the 34 provinces of Indonesia. This paper aims to examine how investment, labor, and technology can affect the economy through the GRDP in 34 provinces in Indonesia. The data used is panel data from 2018 to 2021 for 34 provinces in Indonesia. The research results show that investment and technological progress have a significant positive impact. On the other hand, the labor force has no effect on the economy in 34 provinces in Indonesia. Overall, this research has not been able to validate the Solow-Swan theory in the context of 34 provinces in Indonesia for the 2018-2021 period.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135290542","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 : 2023-11-09DOI: 10.12928/optimum.v13i2.6966
Mohammad Dendi Abdul Nasir, Mukhamad Yazid Afandi, Hishamuddin Mohd Ali
This study aims to examine government expenditure, investment, economic growth and inflation and their effect on labor absorption in the Special Region of Yogyakarta (DIY) in the 2010–2019 research period and to prove the Okun’s law and Phillips curve in DIY. Methodologically, this research was conducted using quantitative methods using secondary data. The data analysis technique used is panel data analysis with the chosen approach, namely the random effect model. Based on the results of the simultaneous test, this study shows that the four independent variables together have a positive and significant influence on labor absorption in the DIY Province. Meanwhile, based on the results of the partial test, it shows that the variables of government expenditure and inflation have a positive and significant effect on labor absorption. Investment and economic growth variables have a negative and significant effect on labor absorption. Implication of the study is the importance of the effectiveness of government expenditure and investment to increase labor absorption and strengthen the environment of investment to stimulate labor absorption in DIY.
{"title":"Determinant of labor absorption in Yogyakarta","authors":"Mohammad Dendi Abdul Nasir, Mukhamad Yazid Afandi, Hishamuddin Mohd Ali","doi":"10.12928/optimum.v13i2.6966","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.6966","url":null,"abstract":"This study aims to examine government expenditure, investment, economic growth and inflation and their effect on labor absorption in the Special Region of Yogyakarta (DIY) in the 2010–2019 research period and to prove the Okun’s law and Phillips curve in DIY. Methodologically, this research was conducted using quantitative methods using secondary data. The data analysis technique used is panel data analysis with the chosen approach, namely the random effect model. Based on the results of the simultaneous test, this study shows that the four independent variables together have a positive and significant influence on labor absorption in the DIY Province. Meanwhile, based on the results of the partial test, it shows that the variables of government expenditure and inflation have a positive and significant effect on labor absorption. Investment and economic growth variables have a negative and significant effect on labor absorption. Implication of the study is the importance of the effectiveness of government expenditure and investment to increase labor absorption and strengthen the environment of investment to stimulate labor absorption in DIY.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135290655","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 : 2023-11-09DOI: 10.12928/optimum.v13i2.8363
Firdha Aksari Anindyntha
There are 17 goals to achieve sustainable development in Sustainable Development Goals (SDGs) adopted by the United Nations. One of SDG that promote inclusive and sustainable economic growth is SDG number 8. Sustainable economic growth seeks to achieve goals that support the process of economic development. Inclusive growth is sought to support the process of economic growth and economic development to prevent future generations from suffering depletion of resources. The effort to achieve inclusive growth in line with the Sustainable Development Goals (SDGs). ASEAN was formed as an integration of any counties as a result of globalization,. The integrated economies of ASEAN countries form economic liberalization, giving rise to economic openness. The manifestation of economic openness is trade openness and financial openness. The panel regression method is used to see the effect of economic openness and macroeconomic variables on economic growth as a proxy for inclusive growth. The results found that inflation and unemployment as macroeconomic variables had a significant negative effect on economic growth. It means to achieve the inclusive growth; the ASEAN countries should keep the inflation stable and low unemployment rate.
{"title":"Analysis of inclusive growth in ASEAN countries","authors":"Firdha Aksari Anindyntha","doi":"10.12928/optimum.v13i2.8363","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.8363","url":null,"abstract":"There are 17 goals to achieve sustainable development in Sustainable Development Goals (SDGs) adopted by the United Nations. One of SDG that promote inclusive and sustainable economic growth is SDG number 8. Sustainable economic growth seeks to achieve goals that support the process of economic development. Inclusive growth is sought to support the process of economic growth and economic development to prevent future generations from suffering depletion of resources. The effort to achieve inclusive growth in line with the Sustainable Development Goals (SDGs). ASEAN was formed as an integration of any counties as a result of globalization,. The integrated economies of ASEAN countries form economic liberalization, giving rise to economic openness. The manifestation of economic openness is trade openness and financial openness. The panel regression method is used to see the effect of economic openness and macroeconomic variables on economic growth as a proxy for inclusive growth. The results found that inflation and unemployment as macroeconomic variables had a significant negative effect on economic growth. It means to achieve the inclusive growth; the ASEAN countries should keep the inflation stable and low unemployment rate.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135291330","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 : 2023-11-09DOI: 10.12928/optimum.v13i2.8674
Yulifar Amin Gultom
Indonesia has four regions declared as free trade zone, which is Sabang, Batam, Bintan, and Karimun. However, Government Regulation Number 41 2021 only puts a lot of focus in the development of Batam, Bintan and Karimun. This study aims to see the impact of free trade zone as a facility given by government using input-output analysis. The impact will be measured as multiplier effect. The usage of input-output analysis differentiate this study with prior research. Input-output analysis is also used to provide priority sector of Batam, Bintan, and Karimun. This study finds that free trade zone facility provides total impact of Rp20.161,02 billion, but also shows that Batam, Bintan, and Karimun (Riau Islands Province) only provides the lowest multiplier effect compares to other provinces. By using priority sector, this study shows that from 22 development themes of Batam, Bintan, and Karimun, only 14 themes are worthy to be sustained and done. Therefore, the government needs to accelerate the integration within Batam, Bintan, and Karimun and other regions around them to boost their multiplier effect. Government also needs to reanalyze the feasibility of Batam, Bintan, and Karimun’s development themes. This study implies that from input-output analysis can be derived how effective the revenue facility given and what sectors which government needs to focus on to develop Riau Islands’ economies better. This study uses 2016 interregional input-output table, next study can be done using the latest interregional input-output table.
{"title":"Input-output analysis: Revenue facilites in Batam, Bintan and Karimun free trade zone","authors":"Yulifar Amin Gultom","doi":"10.12928/optimum.v13i2.8674","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.8674","url":null,"abstract":"Indonesia has four regions declared as free trade zone, which is Sabang, Batam, Bintan, and Karimun. However, Government Regulation Number 41 2021 only puts a lot of focus in the development of Batam, Bintan and Karimun. This study aims to see the impact of free trade zone as a facility given by government using input-output analysis. The impact will be measured as multiplier effect. The usage of input-output analysis differentiate this study with prior research. Input-output analysis is also used to provide priority sector of Batam, Bintan, and Karimun. This study finds that free trade zone facility provides total impact of Rp20.161,02 billion, but also shows that Batam, Bintan, and Karimun (Riau Islands Province) only provides the lowest multiplier effect compares to other provinces. By using priority sector, this study shows that from 22 development themes of Batam, Bintan, and Karimun, only 14 themes are worthy to be sustained and done. Therefore, the government needs to accelerate the integration within Batam, Bintan, and Karimun and other regions around them to boost their multiplier effect. Government also needs to reanalyze the feasibility of Batam, Bintan, and Karimun’s development themes. This study implies that from input-output analysis can be derived how effective the revenue facility given and what sectors which government needs to focus on to develop Riau Islands’ economies better. This study uses 2016 interregional input-output table, next study can be done using the latest interregional input-output table.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135291202","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 : 2023-11-09DOI: 10.12928/optimum.v13i2.8535
Anisa Dwi Ariyani, Firmansyah Firmansyah
Foreign Direct Investment (FDI) is recognized as a major force that integrates developing countries into the world economy and is expected to be a key factor in driving sustainable and balanced economic growth. Emerging Market Asia countries are the host countries that receive the highest inflows of Foreign Direct Investment (FDI) compared to other emerging market countries. Even in crisis conditions, emerging market countries, especially the Asian region, are still the destination for investment because of their resilience to crisis shocks. In analyzing the determinants of Foreign Direct Investment (FDI), the variables used are Market Size, Trade Openness, Interest Rates, Control of Corruption, Education Levels and Telecommunication Infrastructure. The analytical method used is the Fixed Effect Model (FEM) Data Panel. The results of the study show that market size, corruption control and telecommunications infrastructure have a positive and significant effect on foreign direct investment inflows. The Education Level variable was found to have a negative effect on FDI inflows. While the variables of Trade Openness and Interest Rates have no significant effect. The implications of this research are that host country governments need to create an investment-friendly environment with transparent bureaucratic conditions to increase the trust of foreign investors. Additionally, governments also need to provide facilities that can support the private sector in creating productive investments, such as by improving GDP performance and enhancing infrastructure quality.
{"title":"Determining factors of foreign direct investment in Emerging Market Asia: A panel data analysis (2005-2020)","authors":"Anisa Dwi Ariyani, Firmansyah Firmansyah","doi":"10.12928/optimum.v13i2.8535","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.8535","url":null,"abstract":"Foreign Direct Investment (FDI) is recognized as a major force that integrates developing countries into the world economy and is expected to be a key factor in driving sustainable and balanced economic growth. Emerging Market Asia countries are the host countries that receive the highest inflows of Foreign Direct Investment (FDI) compared to other emerging market countries. Even in crisis conditions, emerging market countries, especially the Asian region, are still the destination for investment because of their resilience to crisis shocks. In analyzing the determinants of Foreign Direct Investment (FDI), the variables used are Market Size, Trade Openness, Interest Rates, Control of Corruption, Education Levels and Telecommunication Infrastructure. The analytical method used is the Fixed Effect Model (FEM) Data Panel. The results of the study show that market size, corruption control and telecommunications infrastructure have a positive and significant effect on foreign direct investment inflows. The Education Level variable was found to have a negative effect on FDI inflows. While the variables of Trade Openness and Interest Rates have no significant effect. The implications of this research are that host country governments need to create an investment-friendly environment with transparent bureaucratic conditions to increase the trust of foreign investors. Additionally, governments also need to provide facilities that can support the private sector in creating productive investments, such as by improving GDP performance and enhancing infrastructure quality.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 25","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135290663","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 : 2023-11-09DOI: 10.12928/optimum.v13i2.7958
Fitri Juniwati Ayuningtyas, Ismadiyanti Purwaning Astuti, Dimas Imam Apriliawan, Kai Shi
Most of the sectors affected by the Covid-19 pandemic caused economic growth to decline. The sectors involved are not only the health sector but also the economy, especially trade, industry, and tourism. The research aims to identify the leading sectors, know the characteristics of the pattern and structure of the economy East Java Province. The method analysis used in this research is Location Quotient, Klassen typology, Shift-Share, and linear trend. The findings of this study are: (1) Industrial Sector Processing, Water Supply, Waste Management, Waste and Recycling, Wholesale and Retail Trade; Car and Motorcycle Repair, Provision of Accommodation and Food and Drink, and Information and Communication are the leading sectors that can encourage economic development in East Java Province; (2) Industrial Sector Processing, Water Supply, Waste Management, Waste and Recycling, Wholesale and Retail Trade; Car and Motorcycle Repair, Transportation and Warehousing, Provision of Accommodation and Food and Drink, Information and Communication, Financial and Insurance Services, Educational Services, Health Services and Social Activities are potential sectors in producing production to meet local demand; (3) The manufacturing industry sector is the sector that provides the largest contribution to the GRDP of East Java Province.
{"title":"East Java Province: Economic structure and forecast GRDP analysis","authors":"Fitri Juniwati Ayuningtyas, Ismadiyanti Purwaning Astuti, Dimas Imam Apriliawan, Kai Shi","doi":"10.12928/optimum.v13i2.7958","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.7958","url":null,"abstract":"Most of the sectors affected by the Covid-19 pandemic caused economic growth to decline. The sectors involved are not only the health sector but also the economy, especially trade, industry, and tourism. The research aims to identify the leading sectors, know the characteristics of the pattern and structure of the economy East Java Province. The method analysis used in this research is Location Quotient, Klassen typology, Shift-Share, and linear trend. The findings of this study are: (1) Industrial Sector Processing, Water Supply, Waste Management, Waste and Recycling, Wholesale and Retail Trade; Car and Motorcycle Repair, Provision of Accommodation and Food and Drink, and Information and Communication are the leading sectors that can encourage economic development in East Java Province; (2) Industrial Sector Processing, Water Supply, Waste Management, Waste and Recycling, Wholesale and Retail Trade; Car and Motorcycle Repair, Transportation and Warehousing, Provision of Accommodation and Food and Drink, Information and Communication, Financial and Insurance Services, Educational Services, Health Services and Social Activities are potential sectors in producing production to meet local demand; (3) The manufacturing industry sector is the sector that provides the largest contribution to the GRDP of East Java Province.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135291452","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 : 2023-11-09DOI: 10.12928/optimum.v13i2.7993
Bernica Tiyas Belantika, Bagus Rohmad, Hawa Dwi Nur Arandita, David R. Hutasoit, Fitri Kartiasih
Poverty is still the main problem in development both at the national and regional levels. The poverty reduction program carried out has not paid attention to spatial aspects so that the policies taken are often not on target. This study aims to see the spatial pattern of poverty in Java Island which includes Banten, DKI Jakarta, West Java, Central Java, DI Yogyakarta and East Java. The method used is geographically weighted regression (GWR) with addiptive weighting of the Gaussian Kernel which is processed with QGIS, Geoda and GWR4 software. This approach can identify spatial patterns that cannot be identified in ordinary regression analysis as found in previous studies. The data used in this study is secondary data in 2020 sourced from the Badan Pusat Statistik (BPS) and government website. The results of the study showed positive and group spatial autocorrelation in 34 districts/cities. There are 65 districts/cities in Java Island only affected by HDI, 4 districts/cities affected by TPT and HDI, 47 districts/cities affected by MSEs and HDI, and 3 districts/cities affected by TPT, UMK and HDI. The government can improve the quality of education, the level of public health services, and provide job training to reduce poverty.
{"title":"Factors affecting poverty using a geographically weighted regression approach (case study of Java Island, 2020)","authors":"Bernica Tiyas Belantika, Bagus Rohmad, Hawa Dwi Nur Arandita, David R. Hutasoit, Fitri Kartiasih","doi":"10.12928/optimum.v13i2.7993","DOIUrl":"https://doi.org/10.12928/optimum.v13i2.7993","url":null,"abstract":"Poverty is still the main problem in development both at the national and regional levels. The poverty reduction program carried out has not paid attention to spatial aspects so that the policies taken are often not on target. This study aims to see the spatial pattern of poverty in Java Island which includes Banten, DKI Jakarta, West Java, Central Java, DI Yogyakarta and East Java. The method used is geographically weighted regression (GWR) with addiptive weighting of the Gaussian Kernel which is processed with QGIS, Geoda and GWR4 software. This approach can identify spatial patterns that cannot be identified in ordinary regression analysis as found in previous studies. The data used in this study is secondary data in 2020 sourced from the Badan Pusat Statistik (BPS) and government website. The results of the study showed positive and group spatial autocorrelation in 34 districts/cities. There are 65 districts/cities in Java Island only affected by HDI, 4 districts/cities affected by TPT and HDI, 47 districts/cities affected by MSEs and HDI, and 3 districts/cities affected by TPT, UMK and HDI. The government can improve the quality of education, the level of public health services, and provide job training to reduce poverty.","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":" 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135290541","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 : 2023-03-31DOI: 10.12928/optimum.v13i1.6944
Alya Dwi Pratiwi, Salahudin Salahudin, Syamsulrizal Syamsulrizal, Havidz Ageng Prakoso
This study aims to find the correlation between goal 8 of the Sustainable Development Goals (SDGs) and the economic growth of countries in Asia. This study uses the research method applied in this study, the Systematic Literature Review (SLR), which operates about 600 articles of scientific data sourced from the Scopus database in this review, using the Vosviewer application. The research results reveal many essential points in economic growth in achieving the goals of SDG 8. Since there are still many differences in development that support economic growth, the findings of this study are beneficial to a nation, particularly developing countries in Asia that are still lagging in their economies. With the implementation of the SDGs, the expectation is that the Asian countries are still languishing in infrastructure development as support for the product would realize, and economic growth would be distributed. SDG goal 8, "Economic Growth and Jobs Worth it," emphasizes growth in a more inclusive and sustainable economy, in addition to more productive and full employment opportunities and decent work for all. In addition, population growth is also a factor that has an essential role in achieving the expected economic growth, population density in a country will later impact the country's economy if the government takes no action to deal with this.
{"title":"The Economic Development of Asian Countries With Achievement of SDG 8: A Systematic Literature Review","authors":"Alya Dwi Pratiwi, Salahudin Salahudin, Syamsulrizal Syamsulrizal, Havidz Ageng Prakoso","doi":"10.12928/optimum.v13i1.6944","DOIUrl":"https://doi.org/10.12928/optimum.v13i1.6944","url":null,"abstract":"
 
 
 
 This study aims to find the correlation between goal 8 of the Sustainable Development Goals (SDGs) and the economic growth of countries in Asia. This study uses the research method applied in this study, the Systematic Literature Review (SLR), which operates about 600 articles of scientific data sourced from the Scopus database in this review, using the Vosviewer application. The research results reveal many essential points in economic growth in achieving the goals of SDG 8. Since there are still many differences in development that support economic growth, the findings of this study are beneficial to a nation, particularly developing countries in Asia that are still lagging in their economies. With the implementation of the SDGs, the expectation is that the Asian countries are still languishing in infrastructure development as support for the product would realize, and economic growth would be distributed. SDG goal 8, \"Economic Growth and Jobs Worth it,\" emphasizes growth in a more inclusive and sustainable economy, in addition to more productive and full employment opportunities and decent work for all. In addition, population growth is also a factor that has an essential role in achieving the expected economic growth, population density in a country will later impact the country's economy if the government takes no action to deal with this.
 
 
 
","PeriodicalId":500252,"journal":{"name":"Optimum: Jurnal Ekonomi & Pembangunan","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135787769","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}
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