Jurnal Ekonomi Pembangunan

Economic Growth and Carbon Emissions: Environmental Kuznets Curve (EKC) Hypothesis in Indonesia from 1990 to 2020

2024-06-30T04:15:07+00:00

All countries in the world, both developed and developing countries, are facing pollution problems in order to be able to balance accelerating economic growth with environmental degradation problems due to their economic activities. The acceleration of economic development in Indonesia to achieve high industrial growth is directly proportional to the cause of the high increase in carbon dioxide emissions. The purpose of this study is to see the environmental impact of the regulations set, as well as to provide recommendations for the formulation of environmentally friendly economic development policies in the future. This study applies time series data regression with ECM as the method used. Indonesia was chosen as the object of the theory Environmental Kuznets Curve (EKC) from 1990 to 2020. The results of the study show that the squared industry variable in the short term is not significant, but in the long term, it is significant and has an effect of -0.0002, which means that the EKC hypothesis is not proven in the short and long-term, only a decrease in environmental degradation occurs. (CO2 emissions) because industry increases in the long term or industry has a significant negative effect on carbon dioxide emissions in the long term.

Analysis of Regional Industrial Business Potential through the Role of Cash Receipt and Expenditure Accounting System in Supporting Cash Internal Control (Case Study of Municipal Waterworks of Tirtasari Binjai City)

2024-06-30T04:04:35+00:00

This study aims to determine the potential of the regional industrial business through the accounting system for cash receipts and disbursements in supporting internal cash control at Municipal Waterworks of Tirtasari Kota Binjai. The method utilized is descriptive combined with a qualitative approach. The forms of data utilized in this research are primary and secondary, with interview techniques and documentation from the Municipal Waterworks of Tirtasari. One of the industrial businesses that has developed in Binjai City is Municipal Waterworks of Tirtasari, whose role is to provide and distribute clean water to the surrounding community. The accounting system for cash receipts and disbursements at Municipal Waterworks of Tirtasari Kota Binjai is considered to be of good quality, as shown by the research results. The networks that make up the system and related accounting records, along with the functions and documents utilized, are all good in the cash disbursement accounting system. This can be seen from the process of recording accounting in the cash book based on proof of cash out and supporting documents for cash expenditure transactions according to theory. Internal control in this company has not been maximized because the internal checks carried out each year are not carried out suddenly but are still scheduled, as explained in Mulyadi’s theory. This company already uses digital applications for its cash receipts and disbursements accounting system. However, there are still problems that occur in inputting financial data that often experiences errors, this is due to the adjustment of income transferred by the counter and customer relations section, resulting in less support for the level of receipts and disbursements in this company are quite good and issue cash according to necessities only.

Determinants of the Human Development Index (Case Study of 12 Districts in East Java)

2024-06-30T04:13:20+00:00

All countries face human development problems. As indicated by the relatively low level of the HDI. The quality of human life is an important factor in the development process. Of the 38 cities/districts in East Java, 12 districts require attention because they are categorized as moderate HDI levels by 2022. Therefore, it is important to make efforts to improve the quality of human development during the development process. This study aims to examine the independent socio-economic variables of poverty, economic growth, sanitation, and clean water on the dependent variable, namely the human development index in 12 districts of East Java Province in 2015-2022. This research uses panel data with the best model selection, namely the fixed effect model, and the test criteria are set at an error rate of 5%. The analysis results in an Adj R-Square value of 93.79%, which indicates a strong correlation between variables. The remaining 6.21% can be attributed to other factors not included in the analysis. Specifically, the results of this study explain the variables that affect and do not affect the human development index.

The Role of Public Integrity in Controlling Corruption

2024-06-30T04:10:16+00:00

This study aims to analyze the extent to which the Index of Public Integrity can be used to increase Perceived Corruption so that low and low-middle-income countries can form policies that will increase the country's ability to control corruption in the future. This study uses panel data from the Index of Public Integrity by ERCAS and the Corruption Perception Index by Transparency International in low and low-middle-income countries during 2016 – 2022. Regression analysis, t-test, and R-Square were done using EViews 9 software. Test results show Administrative Transparency, Online Services, Freedom of the Press, and Judicial Independence positively influence the Corruption Perception Index so that it can be used as a major consideration in formulating government policies and regulations to reduce corruption. Meanwhile, E-Citizenship has no influence and Budget Transparency has a negative relationship with Perceived Corruption because of the legal culture. This research can contribute a basis and consideration in preparing government policies aimed at controlling the level of corruption in a country.

How Does Tourism Contribute to Happiness? Evidence of The Role of Hotels and Accommodation in Sumatera

2024-06-30T03:54:08+00:00

Happiness is the ultimate goal of a prosperous life that a person wants to achieve. There are many stigmas and opinions about measuring happiness, such as happiness seen from health, work, education, family harmony, and more. With so many ways to see and measure happiness, a happiness index was created to measure the welfare and happiness of people in a region or country.

This research aims to test and analyze the influence of tourism on happiness by using the number of hotels and accommodations, technology and information, health, consumption expenditure, education, and crime. The data used is secondary data, with a population of 10 provinces on the island of Sumatra. The analysis technique used is Panel Data Regression Analysis. The research results show that tourism, technology, health, and consumption expenditure positively affect the happiness index. In contrast, education and crime have a negative effect on the happiness index in 10 provinces on the island of Sumatra

Spatial Analysis of Regional Poverty Rates in Bali for the period 2016-2020

2024-06-30T01:46:19+00:00

Poverty is a severe issue for local governments, particularly in Bali. This study aims to investigate factors influencing the regional poverty rate in Bali Province between 2016 and 2020. In the primary data obtained from BPS Bali Province, spatial regression data approaches and analyses were used. The findings show that housing, access to technology, and availability of natural resources affect poverty rates. The poverty line in Bali in the period 2016–2020 fluctuated significantly. Urban and rural poverty levels are affected by the availability of rice. At the same time, non-food commodities are higher in rural areas regarding housing, religious ceremonies, and customs. The contribution of the food poverty line to the urban poverty line was 68.76% less than the contribution of the food poverty line to the rural poverty line, which was 69.74%. From 2016 to 2020, the districts of Buleleng, Karangasem, Klungkung, and Tabanan each had the highest poverty depth index. The poverty depth index in urban areas reached 0.653, and in rural areas, 0.753. The severity index for urban poverty is 0.154, which is lower than the severity index for rural poverty, which is 0.156.