ANALISIS KETIMPANGAN PENDAPATAN DAN POLA PERTUMBUHAN EKONOMI DI WILAYAH BELAJASUMBA TAHUN 2013-2017

This research attempts to understand income disparity and to identify the pattern of economic growth in Belanjasumba region at 2013-2017 years. The tools of analysis are Williamson Index, Klassen Typology and correlation curve among of economic growth and Williamson Index. Base on Williamson index found that income disparity in Belajasumba region low relative and tended to decreasing. Klassen typology analysis shows that Belajasumba region can be classified into three types: high growth and high income is Jambi, high income but low growth is South Sumatera and Bangka Belitung and high growth but low income is Bengkulu and Lampung. More importantly, findings confirmed that Kuznets hypothesis not could be found in Belajasumba.

Analisis Keuntungan, Skala Usaha dan Efisiensi Ekonomi Relatif Usaha Budidaya Lele Dumbo Di Kota Bengkulu

This relative economic efficiency study uses Cobb-Douglas profit function. Besides being able to compare the efficiency level between two groups or more, use this profit function to find out whether the maximal short-term profits have been achieved and how the scale of the business is.The result of research shows the variable input factor and fixed input together effect on the profit of dumbo catfish culture business. As for the input variables comprised of the prices of which are: organic fertilizer, inorganic fertilizer, seed catfish, feed pellets, feed Dawu (small dried shrimp), drugs and labor. The fixed input consists of the pool area, the required capital (invested) and the long catfish cultivation. Among the various inputs partially, the inputs that affect the actual profit of dumbo catfish culture business is the area of the pond. Maximum short-term gain in cultivation of dumbo catfish has not been achieved. Of the seven input variables in the physical sense, only four were optimal use of inputs, namely organic fertilizers, inorganic fertilizers, feed and medicines Dawu. The state of the business scale indicates the presence of symptoms leading to increased scale of business (increasing return to scale). The comparison of economic efficiency by area of pond shows the existence of level of efficiency, that is the broader the pond of cultivation the higher the efficiency level. In addition, there is a similar degree of economic efficiency between farmers who use concrete ponds with farmers who use land ponds.

Identifikasi Faktor Yang Mempengaruhi Kemiskinan Di Provinsi Bengkulu

The purpose of this research is to analyze the effect of unemployment with skill (X1), amount of population (X2), and minimum of wage region (X3) against proverty (Y) in Bengkulu Province. The method of analysis by an Ordinary Least Square (OLS). The data that used in this research is pooled data from BPS (Badan Pusat Statistik) of Bengkulu Province and Bapenas (period of data is 2009 � 2013 ). From the output of regression with Eviews (econometric views) aplication indicated that amount of population (X2) having significant effect against proverty (Y). unemployment with skill (X1) is not significant with proverty (Y), and the last minimum of wage region (X3) isnot significant too with proverty (Y). The coefisien regression of variables are coefisien regress of X1 aqual -0.0001200, coefisien regress of X2 equal 0.000200, and coefisien regress of X3 equal -5.18E-06.

Pengeluaran Pemerintah dan Indeks Pembangunan Manusia (IPM) Di Provinsi Bengkulu

Human Development Index (HDI) is one indicator to evaluate the government performance. This index is consist of several main components such as education, health, and economy. This study aims to see how the effect of government spending on education, health, and infrastructure on the Human Development Index in the province of Bengkulu. It also analyzes the differences of HDI level in main and proliferation region as a response to regional autonomy in Indonesia. This Study uses panel data for kabupaten-kota in Bengkulu province during the period 2007-2013. It uses Random Effect Model (GLS) as estimation technique, based on formal testing against several estimation techniques associated with panel data. The results are the education spending has significant positive effect on the HDI. Substantial budget allocations for education that can improve HDI in Bengkulu province. While health and infrastructure spending are not significant, but it shows a negative relationship. It indicates the inefficiency and inaccuracy targets of the health budget and infrastructure in the Bengkulu province. Meanwhile, the study also finds a significant difference in the level of HDI, where main regions have HDI levels higher than the expansions.