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"This paper investigates the theoretical impacts of the government procurement policy on rice producer price in Bangladesh agriculture

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"Penelitian ini bertujuan menganalisis faktor-faktor yang mempengaruhi ketimpangan pendapatan di Provinsi Jawa Timur tahun 2008-2011 dengan mempertimbangkan keterkaitan spasial antar kabupaten/ kota yang ada. Data yang digunakan adalah data panel dengan pendekatan spatial econometric. Model yang terpilih adalah spatial error with fixed effect.Hasil analisis menunjukkan bahwa interaksi antara satu kabupaten/ kota dengan kabupaten/ kota tetangganya cukup tinggi di Jawa Timur yaitu sebesar 0,470 dari rentang nilai 0 hingga 1. Adanya interaksi spasial ini berdampak terhadap ketimpangan pendapatan di Jawa Timur. Dampak spasial yang terjadi dapat dilihat pada variasi nilai intercept. Dengan mempertimbangkan aspek spasial, maka faktor-faktor yang berpengaruh positif terhadap indeks ketimpangan pendapatan di Jawa Timur adalah faktor tenaga medis, dana perimbangan, dan UMR. Sedangkan faktor tenaga kerja industri ternyata berpengaruh negatif terhadap indeks ketimpangan di Jawa Timur.

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This study aims to analyze the factors which impact income gap in East Java for four years (2008-2011) by giving attention for spatial dependence between the regions. The data used in this study is panel data with spatial econometric approach. The model chosen is spatial error with fixed effect.

The result shows that the interaction between regions is about 0,470 (the value is ranged between 0 until 1). This spatial interaction impacts to income gap in East Java. The impact of spatial aspect to income gap in East Java can be seen from intercept variation value. By giving attention for spatial aspect can be known that the factors which have positive impact to income gap are medical personnel, balanced budget, and wage policy. And the factor which has negative impacts to income gap in East Java is industry labors."

"This study aims (1) to construct an Econometric Input-Output Model for Indonesia, that emphasizes the linkage between sectors, and (2) to analyze the impact of budget allocation on development expenditure to Indonesian's economy in 2002.

The model, constructed by combining the advantages of an input-output model and an econometric model, is called the Indonesian Econometric Input-Output Model or "Model Input-Output Ekonometrika Indonesia" (MIENA). MIENA consists of 112 dynamic simultaneous equations which utilize secondary data from 19SO-20UO. The equation parameters are estimated by using a combination of three estimation methods: (1) Ordinary Least Squares, (2) First Order of Autoregressive and (3) Second Order of Autoregressive. The model is validated by the Gauss-Siedel Method, it is then used for protections and policy impact analysis simulations on budget development expenditure and world economic conditions.

The study finds that the impact of budget reallocation for development expenditure (final demand, output, income, and sectoral employment) is better than the budget allocation for development expenditure in the National Budgetary Plan (RAP3N) for 2002. The plantation sector contributed the most to supporting output multiplier and high income. The food, beverages, and tobacco industries contributed the most to yield a high employment multiplier."

"Through analysis of the European Union Emissions Trading Scheme (EU ETS) and the Clean Development Mechanism (CDM), this book demonstrates how to use a variety of econometric techniques to analyze the evolving and expanding carbon markets sphere, techniques that can be extrapolated to the worldwide marketplace. It features stylized facts about carbon markets from an economics perspective, as well as covering key aspects of pricing strategies, risk and portfolio management."

"Di pasar modal Indonesia, IHSG sangat penting karena bisa menjadi tolak ukur kesehatan ekonomi di Indonesia. Penelitian ini bertujuan untuk mengetahui hubungan antara variabel makroekonomi terhadap indeks harga saham digabungkan di Bursa Efek Indonesia untuk periode 2009-2018. Variabel makroekonomi yang diuji dalam penelitian ini adalah suku bunga Bank Indonesia, tingkat inflasi, jumlah uang beredar dan nilai tukar rupiah terhadap Dolar AS. Penelitian ini menggunakan data sekunder kuantitatif dan diuji menggunakan analisis kointegrasi dan pendekatan kausalitas. Data yang digunakan dalam penelitian ini adalah data periode bulanan 2009-2018. Hasil penelitian yang diperoleh menyatakan antara semua variabel makroekonomi memiliki hubungan jangka panjang dengan Indeks Harga Saham Gabungan periode 2009-2018.

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In the Indonesian capital market, the JCI is very important because it can be a measure of economic health in Indonesia. This study aims to determine the relationship between macroeconomic variables on the stock price index combined in the Indonesia Stock Exchange for the period 2009-2018. The macroeconomic variables tested in this study are the Bank Indonesia interest rate, the inflation rate, the money supply and the rupiah exchange rate against the US Dollar. This study used quantitative secondary data and was tested using cointegration analysis and a causality approach. The data used in this study are the 2009-2018 monthly data. The results obtained indicate that all macroeconomic variables have a long-term relationship with the Composite Stock Price Index for the 2009-2018 period."