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"The main purpose of this research is to investigate the factors influencing the labor supply on the non-agricultural activities and the eject of income from non-agricultural activities to the structure and distribution of farmer household income. To reach the goals, three models are developed The first and second models are labor supply models of husband and wife, respectively. For both models, the dependent variables are labor supplies proxied by work-hours of non-agricultural activities per year. While the independent variables for both models are area of land used; wage level in non-agricultural, age, number of household member with age above and below 5 years, number of working household members, and location of the household The third model is a model with contribution of non-agricultural income as its dependent variable, while its independent variable is area of land used The data source for this research is taken from a primary survey, while the secondary data gathered from BPS in Gunung Kidul. The study shows that husband labor supply on non agricultural activities is ejected by the area of land used wage level. education level, number of household members, and household location. But, education level and number of working household members are not giving significant influence to husband labor supply on non agricultural sectors. Furthermore, wife labor supply is influenced by the area of land used wage level, age, education level, number of household members with age below 5 years, and household location. In the contrary, number of household members of age over 5 years and number of working household members aren 't seem to have significant effect on wife labor supply model on non agricultural activities."

"This study aims to analyze the food security determinant of households by household characteristics in Indonesia using descriptive and multinomial logit analyses, and determine the characteristics of households that need intervention of Raskin in Indonesia. Descriptive and multinomial logit analyses found that households more food secure if the education of household head is higher, number of household members is smaller, the household head work in non-agriculture, income per capita is larger, and the area where household live in urban areas. Generally, Raskin relatively on target. Raskin should be prioritized on women-headed households with low education, and work in agriculture/non-agriculture.

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Studi ini menganalisis determinan ketahanan pangan rumah tangga menurut karakteristik rumah tangga di Indonesia dengan analisis deskriptif dan multinomial logit, serta menentukan karakteristik rumah tangga yang perlu intervensi Raskin di Indonesia tahun 2011. Hasil analisis deskriptif dan multinomial logit menemukan bahwa semakin tinggi pendidikan kepala rumah tangga akan meningkat pula ketahanan pangannya jika jumlah anggota rumah tangga kecil, pekerjaan kepala rumah tangga di non-pertanian, pendapatan per kapita besar, dan daerah tempat tinggal di perkotaan. Secara umum, Raskin relatif tepat sasaran. Raskin sebaiknya diprioritaskan pada rumah tangga yang dikepalai perempuan, berpendidikan dasar, dan bekerja di pertanian maupun non-pertanian."

"This research analyzes the impacts of raw material export restriction on firm performance: value-added, labor, and productivity growth, as well as firm survival ability in the rattan-based final good industry in the 1995-2004 period, which are distinguished based on firm size. This study uses probit method for the survival model, and the Ordinary Least Square (OLS) for the growth model. Data obtained from Medium and Large Scale Industries Statistics (ISIC 33131 and 33212). The result shows that export restriction can improve survival ability of the medium and large-sized firm, and have a positive impact on value-added and labor growth of the medium-sized firm.

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Studi ini membahas pengaruh dari kebijakan larangan ekspor bahan baku terhadap kinerja perusahaan: pertumbuhan nilai tambah, tenaga kerja, dan produktivitas, serta kemampuan bertahan perusahaan barang jadi rotan di dalam industri pada periode 1995-2004, yang dibedakan berdasarkan ukuran perusahaan. Studi ini menggunakan metode probit untuk model kemampuan bertahan perusahaan dan Ordinary Least Square (OLS) untuk model pertumbuhan. Data diperoleh dari Statistik Industri Besar dan Sedang (ISIC 33131 dan 33212). Hasil studi menunjukkan bahwa kebijakan larangan ekspor bahan baku rotan mampu meningkatkan kemampuan bertahan perusahaan sedang maupun perusahaan besar, serta juga akan berdampak positif terhadap pertumbuhan tenaga kerja dan nilai tambah perusahaan sedang."

"This research develops Industrial Performance Index and shows annual performance index among industries through all and each indicator from 2004 to 2007. There are three criteria and 19 indicators, (1) output (value added, wage, firm), (2) production factor (labor, capital, and technological progress), (3) production cost (labor and capital productivity, material and energy efficiency). The result shows the best performance industry, (1) in 2007 is transportation industry excluded four or more wheel vehicle, (2) in 2006 is recycling industry, (3) in 2005 is machinery and office equipment industry, (4) in 2004 is food and beverage industry.

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Studi ini membangun indeks kinerja industri relatif subsektor industri per-indikator dan subsektor industri unggulan pada periode tertentu. Ada tiga ukuran dan sembilan belas indikator yang dipilih yaitu, output (nilai tambah, upah, jumlah perusahaan), faktor produksi (tenaga kerja, barang modal, dan kemajuan teknologi), dan biaya produksi (produktivitas tenaga kerja dan barang modal, efisiensi penggunaan material dan energi). Hasil perhitungan memperlihatkan subsektor industri unggulan pada tahun: (i) 2007 adalah industri alat angkutan, selain kendaraan bermotor roda empat atau lebih, (ii) 2006 adalah industri daur ulang, (iii) 2005 adalah industri mesin dan peralatan kantor, akuntansi dan pengolahan data, dan (iv) 2004 adalah industri makanan dan minuman."

"The main purpose of this research is to investigate the factors influencing the labor supply on the non-agricultural activities and the of income from non-agricultural activities to the structure and distribution of farmer household income.To reach the goals, three models are developed. The first and second models are labor supply models of husband and wife, respectively. For both models, the dependent variables are labor supplies proxied by work-hours of non-agricultural activities per year. While the independent variables for both models are area of land used, wage level in non-agricultural, age, number of household member with age above and below 5 years, number of working household members, and location of the household. The third model is a model with contribution of non-agricultural income as its dependent variable, while its independent variable is area of land used. The data source for this research istaken from a primary survey, while the secondary data gathered BPS in Gunung Kidul.The study shows that husband labor supply on non-agricultural activities is affected by the area of land used, wage level, education level, number of household members, and household location. But, education level and number of working household members are not giving significant influence to husband labor supply on non agricultural sectors. Furthermore, wife labor supply is influenced by the area of land used, wage level, age, education level, number of household members with age below 5 years, and household location. In the contrary, number of household members of age over 5 years and number of working household members aren 't seem to have significant effect on wife labor supply model on non agricultural activities."

"Penelitian ini akan melihat bagaimana pola struktur ekonomi dan pola penyerapan tenaga kerja sektoral di 30 propinsi pada kurun waktu I980-2000 di Indonesia. Fokus penelitian ini diarahkan pada analisis faktor-faktor yang mempengaruhi penyerapan tenaga kerja di wilayah tersebut dan pada analisis kebijakan perencanaan tenaga kerja di Indonesia.Untuk mencapai tujuan tersebut, digunakan pendekatan demometrik guna membangun model makro demoekonomi regional yang dimodifikasi dari model penyerapan tenaga kerja yang digunakan oleh J.Ledent. Secara prinsip, model demometrik ini menggabungkan model ekonometri dan model demografi. Dalam hal ini, variabel seperti jumlah penyerapan tenaga kerja regional dihubungkan dengan variabel populasi (dengan memperhatikan unsur tingkat kelahiran dan kematian), netmigration, output, dan upah melalui suatu model ekonometri di 30 propinsi pada 9 sektor.Ditemukan hasil bahwa struktur ekonomi Indonesia secara nasional mengalami perubahan dari sektor pertanian ke sektor-sektor lainnya. Akan tetapi, berdasarkan propinsi, propinsi-propinsi Bengkulu, Gorontalo, Jambi, Kalbar, Kalsel, Kalteng, Lampung, Maluku, Malut, NTB, NTT, Sulsel, Sulteng, Sultra, Sulut, Sumbar, dan Sumut masih bertumpu pada sektor pertanian; dan propinsi-propinsi Babel, Bali, Banten, DIY, DKI Jaya, Jabar, Jateng, Jatim, Kaltim, NAD, Papua, Riau, dan Sumsel sudah bertumpu pada sektor manufaktur, sektor perdagangan-hotel-restoran, sektor jasa, dan sektor bangunan. Sektor pertanian paling banyak menyerap tenaga kerja walaupun dengan upah yang lebih rendah dan upah di sektor-sektor lainnya. Namun di propinsi-propinsi Bali, Banten, DIY, DKI Jaya, Jabar, Jateng, Jatim, dan Kaltim, ke-9 sektor sudah saling mendekat. Adanya peningkaran dan penurunan dalam jumlah penyerapan tenaga kerja ini disebabkan oleh perubahan populasi, net migration, output, dan juga upah. Bahkan terjadi pergeseran penyerapan tenaga kerja antar sektor dan antar propinsi."

"The objective of the study is to understand the correlation between inter-firm cooperation and firm technical efficiency. It based on the background of the difficulties and limited production resources faced by micro and small industry (MSI) that impede them to move towards production frontier that makes firm less efficient technically. Therefore, this study will discuss whether cooperation conducted by MSI will bring improved technical efficiency. Estimation is taken by using maximum likelihood method on firm production function stochastically. Using data from micro and Small Industry Survey Year.. 2004 published by National Bureau of Statistic of Indonesia, inter-firm cooperation is measured through index with Principal Component Analysis which reflects the degree of the cooperation. As the first study in Indonesia for the topic, result shows a positive correlation between inter-firm cooperation and technical efficiency in micro industry, otherwise the correlation is not found in small industry. This indicate that inter-firm cooperation is not "panacea" to attain technical efficiency, yet it is depending on the size the firm."