Gini Index Ratio Research Articles

Analisis Faktor yang Mempengaruhi Ketimpangan Distribusi Pendapatan di Provinsi Daerah Istimewa Yogyakarta Tahun 2012-2021

Based on statistical data and publications published by BPS shows that Special Region of Yogyakarta is the province with the highest Gini Index ratio in Indonesia. The purpose of this study is to examine the effect from economic growth, the human development index and the open unemployment rate to the income distribution inequality in the Special Region of Yogyakarta Province In this case the analytical tool used is through panel data regression analysis where the existing data is taken from BPS or in the form of secondary data in the period 2012-2021 by using fixed effect model (FEM) as the chosen model. In this study was found that simultaneously show that economic growth, human development index and open unemployment rate simultaneously had a significant effect. Partially, the economic growth variable has a positive and insignificant effect on the inequality of income distribution because of the increasingly unequal income distribution pattern. The human development index variable has no significant negative effect on the inequality of income distribution because good labor productivity will be able to reduce the level of inequality. Meanwhile, the open unemployment rate has a positive and significant effect because the absorption of the existing workforce is still not maximal.

The Relationship Between Institutions and Business Opportunities Toward Economic Growth

This study aimed at explaining the relationship, and effects of human capital, entrepreneurial business opportunities, institutional economics, and regional economic growth. It was carried out to develop fundamental microeconomic model in rural development to assist human capital roles and institutions as well as entrepreneurial business for the economic growth. Further, the researchers used simultaneous system method in form of a recursive correlational path analysis model. This modeling system provides simplicity and easy understanding. The main source of the data were the empirical micro fundamental data of the business doers in rural areas measured by Gini index ratio. The findings showed that human capital and institutions were the main pillars in improving the quality of regional economic growth. Interestingly, there was a strong relationship between business opportunities and economic growth. However, the business opportunities had significantly negative effect toward the regional economic growth. These indicate the existence of a disturbance outside the model, namely the presence of bank credit which apparently made the business doers suffered losses. In this way, there is a need to examine further the reasons why the bank credits given to MSMEs negatively effect the economic growth.

Rural Livelihood Transformations and Land Inequality in Bangka

Since the Dutch colonial era, Bangka Belitung Province has been a rich province due to its abundanttin mining resources. However, the limitation of tin availability and the extraordinary environmental degradation caused by mining has changed people’s lives. This study aims to determine the level of land ownership inequality and the factors that influence such inequality. In addition, this study also describes the transformation causes of the livelihoods of the majority of the population in Bangka. This research was conducted through descriptive quantitative analysis, and the data was obtained through a survey of 140 head of households whowork as farmers or work as a farm labourers in Bangka and West Bangka. Analysisof land ownership inequality is done through the Gini index ratio measured using the Lorenz curve. The results of a study conducted on 140 respondents in Bangka and Bangka Barat show that the level of land ownership inequality reaches 0.45. Several things have an effect on the level of inequality. First, most of Bangka regions, almost 3/4 the areas have mining permits. Second, there has been a large-scale expansion of oil palm plantations and a lot of Cultivation Rights Permits/HGU. Third, most of the areas outside the mining and the cultivation rights permits are forest areas. The results of the study also show that the majority of the community shifted from miners to farmers due to limited tin sources and low tin prices. The high level of inequality in land ownership and the shifting of community’s main jobs can certainly affect the economic growth which is getting weaker and widening the inequality.

Efficiency in BRICS banking under data vagueness: A two-stage fuzzy approach

This study analyzes the efficiency levels of the banking industry in the BRICS countries (Brazil, Russia, India, China, and South Africa) from 2010 to 2014, using an integrated two-stage fuzzy approach. Very often the reliability of data collected from BRICS is questionable. In this research, we first use fuzzy TOPSIS to capture vagueness in the relative efficiency of BRICS banking over time. In the second stage, we adopt fuzzy regressions based on different rule-based systems to enhance the power of significant socioeconomic, regulatory, and demographic variables to predict banking efficiency. These variables are previously identified by using bootstrapped truncated regressions with conditional α-levels, as proposed by Wanke, Barros, and Emrouznejad (2015a). The results reveal that efficiency in the banking industry is positively associated with country gross savings and the GINI index ratio, but negatively associated with relatively high inflation ratios. Fuzzy regressions proved far more accurate than bootstrapped truncated regressions with conditional α-levels. We derive policy implications.

Analisis Produksi, Distribusi Pendapatan Petani dan Dampak Program Optimalisasi Lahan Terhadap Produksi Padi Sawah di Kabupaten Muaro Jambi

The purposes of this study are ; ( 1 ) How does the social and economic characteristics of rice farmers in Jambi Muaro ; ( 2 ) What factors are affecting rice production in Muaro Jambi; ( 3 ) How is the impact of the land optimization program toward the increase of rice production in Muaro Jambi and ( 4 ) How is the income distribution of rice farmers in Muaro Jambi. The methodology of research used in this study is survey method using primary data and secondary data . Analysis tools used in this study are qualitative description and quantitative description using Cobb Douglas Production-Function Model , and the Gini Index Ratio . The findings in this study are ; ( 1 ) The Average production per hectare of rice farmers in the study area during the growing season was below the average production of Muaro Jambi district . ( 2 ) Over-All Test ( F Test ) showed that the land variable, orea fertilizer , seeds, labor capital , farming experience and education level have influenced the rice production . While based on the partial test, it was showed that only the land area variable ( X1 ) and orea fertilizer ( x2 ) which significantly influence rice production while the amount of seed variable ( X3 ) , labor ( X4 ) , capital ( X5 ) , experience ( D1 ) , and formal education ( D2 ) had no significant effect on rice production in the research area ' ( 3 ) The land optimization has increased the income of the farmers' compared to pre-optimization condition, but the gini index ratio is higher as a result of the maximization of income to farmers who have more land which is proven by The Gini Index Ratio: 0.30 in pre-optimization and after optimization of land it raises to 0:32 ; ( 4 ) The Land-Optimization Program which has implemented by the Government Muaro Jambi has positive impact both on increasing rice production and the income of farmers. Key words : Optimization of Land , Production Optimization , Gini Ratio