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Roosemarina Anggraini Rambe
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Fakultas Ekonomi dan Bisnis, Universitas Bengkulu Address: Gedung Layanan Terpadu, University of Bengkulu, Bengkulu, Indonesia Phone: Eka 6281539267890, Vika Fitranita 6282182707708
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INDONESIA
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting
Published by Universitas Bengkulu
ISSN : -     EISSN : 30266726     DOI : 10.33369/bicemba
Core Subject : Economy,
Economics, Econometrics & Finance
The focus and scope of BICEMBA include Economics Development, Finance and Public Economics, Labor Economics, Blue and Green Economics Digital Economy and Behavioral Economics, E-Government and Governance, Macroeconomics Policy, International Trade, Creative Economics and Tourism, Food Security, Financial Management, Operational Management, Marketing Management, Strategic Management, Consumer Behavior, Organizational Behavior, Entrepreneurship, Risk Management, Human Resources Management, Financial Accounting, Management Accounting, Auditing, Information Systems, Public Accounting, Finance and Investment, Economics and Accounting Sharia, Financial Technology. Authors are invited to electronically submit through the Journal Website no more than 10 pages of a full paper.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 41 Documents
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Causality Implications of Unemployment, Inflation, and Poverty in Indonesia Dea Rustami; BIE Indraswanti; Mery Anitasari; Lela Rospida
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This study aims to analyze the causal relationship between unemployment, inflation, and poverty in Indonesia. The research methodology employed Granger causality test and time series regression analysis. The findings indicate a one-way causal relationship between the variables of unemployment and poverty. Specifically, unemployment has been shown to affect the level of poverty in Indonesia. Furthermore, the study also identifies a one-way causal relationship between the variables of poverty and inflation.
Analysis of Factors that Influence the Level of Crime in Indonesia Marwin Apriza; Bambang Agoes Hermanto
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This research aims to find out what factors influenced the increase in Indonesian crime in 2017–2021. The data used in this research is secondary data obtained from the Central Statistics Agency (BPS). The method used in this research is multiple analysis using panel data for 2017–2021. The variables used are unemployment, the GRDP growth rate, poverty, and the Gini ratio. The results of this research show that the unemployment rate, poverty, and income inequality variables have a significant effect on the crime rate, while the GRDP variable does not have a significant effect on the crime rate in Indonesia in 2017–2021.
The Effect of Environmental, Social, and Governance (ESG) Disclosure on Market Returns Annisa Salsabila; Fenny Marietza
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

The research aims to determine the effect of ESG Disclosure on Market Returns. The ESG Disclosure measurement was done using Environment Social Governance Disclosure Index, based on GRI 300 for the environment, GRI 400 for the social, and GRI 102 for the governance. The Market Returns measurement was done using absolute return and risk-adjusted return. The population in this study is IDXESGL companies listed on the Indonesia Stock Exchange for 2020-2021. The sample in this study is 16 companies (32 observations). The data analysis method used in this study was done with a simple - multiple regression analysis with the help of the E-views application. The study's findings show that information concerning ESG Disclosure is valuable for investors, indicating a company's emphasis on sustainable practices. This focus can contribute to enhancing their market return. This study implies that the results provide knowledge that the company should be able to disclose ESG information adequately, actively, and transparently in disclosing ESG information and implement sustainable business practices to gain a competitive advantage in the market.
Does Government Spending Efficiency Improve Human Development in Sulawesi? Bella Dwi Septi Martia; Ratu Eva Febriani
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

We evaluate the impact of government spending efficiency on achievement in quality of human life for a panel of 78 counties of the Sulawesi region during 2015-2021. We compute the magnitude efficiency counts by Data Envelopment Analysis (DEA) to answer the research question. The inputs are government spending on education, health, economics, and social protection. The output used the human development index. The findings reveal that Makassar is the most efficient county over the period to encourage the human development index. Otherwise, Jeneponto is the most inefficient county. Furthermore, some county's flexibility changed from efficient to inefficient in using spending to raise the human development index.
Analysis Influence of Financial Performance on Economic Growth Study on Regencies and Cities in Southern Sumatra Muhammad Riski Saputra; Retno A. Ekaputri
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

The purpose of this study is to investigate the impact of financial performance on economic growth in districts/cities in southern Sumatra between 2018 and 2022. Regional financial performance is measured using the independence ratio and statistics on local original income and government support., the effectiveness ratio using revenue realization data and revenue targets, as well as efficiency ratios using data on costs incurred and actual revenues and the impact on economic growth will be measured by taking a sample of 60 districts/cities in southern Sumatra (in 5 provinces: Sumatra Selatan, Bengkulu, Jambi, Bangka Belitung, and Lampung). Secondary data from BPS publications, specifically GRDP and Regional Income and Expenditure Budget (APBD) statistics from the Indonesian Ministry of Finance in 60 districts/cities in southern Sumatra, were used in this study. Panel data combines cross-sections and time series for analysis. For econometric testing, the t-test and the standard assumption test are used, whereas the random effects model is assessed using the Lagrange Multiplier test (LM Test). The F test is used to investigate the influence of factors in part. The coefficient of determination (R2) test is used to examine the ability of the regression model to explain fluctuations in the dependent variable by testing the influence of variables at the same time. The research results show that (1) Financial performance in the form of effectiveness ratios and efficiency ratios has a positive effect on economic growth. (2) Financial performance in the form of the independence ratio hurts economic growth.
The Influence of Economic Growth, Human Development Index, and Open Unemployment Rates on Poverty in Sumatra Tara Fateha Nur Haria; Merri Anitasari
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

The purpose of this study to find out how economic growth, the Human Development Index (HDI), and the open unemployment rate affect poverty in Sumatra. This quantitative research uses panel data for 2012-2021 from 10 provinces in Sumatra sourced from BPS. Panel data regression analysis with the Eviews 13 program was used for the data analysis in this study. The results of the research show that the Human Development Index (HDI) has a negative and significant effect on poverty in Sumatra. Meanwhile, the variables of economic growth and open unemployment have a positive and significant effect on poverty in Sumatra.
Analysis of the Effect of Inflation, Open Unemployment Rate, and Poverty on Economic Growth in Bengkulu Province Ariska Panjaitan; Merri Anitasari
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This study aimed to investigate the impact of inflation, open unemployment rate, and poverty on economic growth in Bengkulu. For this study, time series data from 2010 to 2022 are used. The dependent variable in this study is economic growth. The independent variables used are inflation, the open unemployment rate, and poverty. This study uses multiple linear regression analysis methods. The results of this study indicate that the open unemployment rate variable has a significant positive effect on economic growth, and poverty has a significant negative effect on economic growth. While the inflation variable has an insignificant effect on economic growth in Bengkulu Province.
Analysis of Factors Affecting Economic Growth in the Bengkulu Coastal Area Rifdah Mahdiyah Rahmah; Barika Barika
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This research aims to analyze the factors that influence economic growth in the Bengkulu coastal area. The type of research is quantitative-descriptive. This research uses secondary data in the form of panel data, which is a combination of time series data for 2012–2021 and cross-section data consisting of the districts of North Bengkulu, South Bengkulu, Kaur, Seluma, Muko-Muko, Central Bengkulu, and Bengkulu City. Data sourced from the Bengkulu Province Central Statistics Agency includes data on economic growth, human development index, Gini ratio, and industrial sector employment. The results of panel data regression analysis show that the variables human development index, Gini ratio, and number of workers in the industrial sector have a significant influence on economic growth in the coastal areas of Bengkulu province, with an R2 value of 41%, while the remaining 59% is influenced by other variables outside the model.
The Influence of Regional Minimum Wages, Poor Population, Education Expenditures, and Health Expenditures on the Human Development Index in North Sumatra Province 2015-2021 Dea Rahma Ardini; Antoni Sitorus
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

The objective of this study is to learn how the index development of humans in North Sumatra province in 2015–2021 was affected by the regional minimum wage, population poverty, shopping education, and shopping health. Panel data is used. In this analysis, index development is used as a variable, whereas regional minimum wage, population poverty, shopping education, and shopping health are variables. For do analysis, the E-Views 13 program was used for do analysis regression multiple. The study's findings show that variable regional minimum wages are positively and significantly correlated to index human development, whereas variable resident poverty is negatively and significantly correlated. Otherwise, no. There is a significant correlation between index development and variable shopping education and health. As a result, policy planning for sustainable development is a must.
Analysis of Factors That Influence Indonesian GDP Tri Dewi Kartika; Yusnida Yusnida
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This research aims to examine and determine the extent to which investment, labor force, and agricultural land area impact the Gross Domestic Product (GDP) of Indonesia between 2000 and 2020. Time series data was utilized as secondary data for this study. Multiple linear regression or Ordinary Least Square (OLS) was used as the analysis method. The findings indicate that investment has no significant impact on GDP, while labor force and agricultural land area have significant impacts on GDP in Indonesia. Therefore, it is recommended that the Indonesian government focus on creating more job opportunities to increase the workforce and expand agricultural land. Additionally, the government should consider reducing investments in Indonesia.

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