<p>Pertumbuhan ekonomi yang tinggi merupakan kondisi utama bagi kelangsungan pembangunan ekonomi daerah. Untuk mengukur kemajuan perekonomian daerah dengan mengamati seberapa besar laju pertumbuhan ekonomi yang dicapai daerah tersebut yang tercermin dari kenaikan Produk Domestik Regional Bruto (PDRB). PDRBKabupaten/Kota di Jawa Tengah selama tahun 2008- 2012 mengalami pertumbuhan karena banyak yang mempengaruhinya, seperti: Tabungan, Kredit, PAD dan Belanja Daerah. Penelitian ini bertujuan untuk menganalisis seberapa besar faktor-faktor tersebut mempengaruhi tingkat PDRB kabupaten/Kota di Jawa Tengah selama tahun 2008-2012. Variabel dependen yang digunakan dalam penelitian ini adalah PDRB, sedangkan variabel-variabel independen yaitu Tabungan, Kredit, Pendapatan Asli Daerah (PAD) dan Belanja Daerah. Penelitian ini menggunakan analisis regresi linear berganda melalui metode OLS dengan menggunakan data    time series 2008  –2012 dan data crosssection 35 kabupaten/kota di Provinsi Jawa Tengah atau yang dimaksud dengan data panel. Pengujian model dalam penelitian ini menggunakan metode FixedEffect. Hasil estimasi menunjukkan bahwa hasil analisis regresi pada α=5%menunjukkan bahwa secara parsial  variabel tabungan   dan kredit berpengaruh signifikan, sedangkan variabel PAD, dan Belanja Daerah tidak signifikan terhadap PDRB kabupaten/kota di Provinsi Jawa Tengah tahun 2008–2012. </p><p>High economic growth is the main condition for the continuation of regional economic development. To measure the progress of the regional economy, observation on the economyc growth rate in each area can be conducted. It is reflected in the increase of Gross Regional Domestic Product (GDP). The increase of GDP of regency/city in Central Java during the year of 2008- 2012 was influenced by several factors such as savings, credit, local generated revenue (PAD), and Expenditure. This study intends to analyze the affect of these factors to the level of GDP on districts / cities in Central Java during the years 2008-2012. The dependent variable used in this study is GDP. Meanwhile, the independent variables are savings, credit, revenue (PAD) and expenditure. This study uses multiple linear regression analysis by the OLS method using time series data in 2008 -2012 and data crosssection of 35 districts / cities in Central Java province which are often called as the data panel. The model is tested by using Fixed Effect. The result indicates that the results of the regression analysis on the α = 5% shows that in partial,  saving and loan have significant effect on GDP.  Meanwhile,  PAD variable and expenditurehave no significant effect on GDP districts / cities in Central Java province in 2008-2012.</p>

In Central Java, one of supporting factors of regional economic growth viewed from regionalfacilities and infrastructures is toll road facilities. Transjawa toll road is a network that connectsseveral cities in Java. Particularly, this toll road connects two biggest cities in Indonesia, namelyJakarta and Surabaya in which Salatiga is also one of cities traversed by this toll. This ±1.000 kmtoll road continues the previous toll roads that have existed, including Merak – Cikampek, Jakarta– Bandung, Semarang – Bawen, and Surabaya – Pandaan. Despite the positive impacts, Transjawatoll road also gives negative impacts for local communities. Thus, this study aimed (1) to find outthe socioeconomic condition of farmers after Transjawa toll road construction in Salatiga and (2)to find out the socioeconomic condition of Micro, Small, and Medium Enterprises (MSMEs) afterTransjawa toll road construction in Salatiga. This study used qualitative and quantitative datataken from from 30 main respondents. The construction of transjawa toll road in Salatiga regionbrings good effects. It was proved by the better condition of socioeconomic and income of farmersand MSME doers in Salatiga region after the construction of this toll road.

This study aims to forecast the value of the Indonesian government foreign debt in 2020-2024. The secondary data of time series during the period of 2010-2019 on Indonesian government foreign debt are used as the basis of forecasting for the next five years by using ARIMA (Autogressive Integrated Moving Average). The results show that the selected ARIMA models for forecasting are ARIMA (3,1,3) after the unit root test is carried out and 16 ARIMA models are tested. The value of government foreign debt is predicted to keep increasing from 2020 to 2024 amounted to USD 253.01. Then, compared to government debt in January 2010, within 11 years, government foreign  debt is predicted to rise by 169.6%.

The purpose of this study is analyze the effect of population, GRDP, human development index, and district/city minimum wages on income inequality in Yogyakarta Province. This research uses quantitative methods with panel data, which is a combination of cross-section data from 5 regencies/cities in Yogyakarta Province and time-series data for the period 2011-2017. The results showed that the population and GRDP variable has a negative and not significant effect, the human development index variable has a significant negative effect, while the district/city minimum wage variable has a not significant positive effect.

The Indonesian economy indicates good performance but it is not followed by the decrease in crime rates. The aim of research is to find out and analyze the effects of unemployment, education, wages, and case completion rates on the crime rates in Indonesia in 2012 – 2016. This research uses the panel data using the Fixed Effect Model (FEM) with Generalized Least Square (GLS) method. The data used in this research is the secondary data collected from the Central Bureau of Statistics and the Indonesian National Police since 2012 until 2016. The data includes the open unemployment rate, the school enrollment rates, the provincial minimum wages, the crime rates, and the case completion rates. The result of this research indicates that the variables of unemployment, education and case completion rates insignificantly affect on the criminal crime in Indonesia. The wages have negative and significant effect on the crime rates in Indonesia.