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"Penelitian ini bertujuan untuk menganalisis dampak pembangunan sektor pertanian tanaman pangan dalam meningkatkan PDB dan output, dan dalmam memperbaiki distribusi pendapatan. Analisis menggunakan model Sistem Neraca Sosial Ekonomi (SNSE). Untuk menghitung dampak tersebut penulis menggunakan pengganda SNSE, pengganda dekomposisi, Analisis Jalur Struktural, dan koefisien Gini. Hasil perhitungan menunjukkan bahwa sektor pertanian tanaman pangan memiliki kontribusi terhadap penciptaan nilai tambah dan peningkatan pendapatan rumah tangga paling tinggi dibandingkan dennen sektor lainnya. Kemudian, peranan pengeluaran pemerintah di sektor pertanian tanaman pangan terlihat mampu meningkatkan PDB dan output bruto seria dapat memperbaiki distribusi pendapatan. Secara umum kebijakan peningkatan produksi tanaman pangan merupakan kebijakan yang mampu meningkatkan PDB dan pendapatan sektor pertanian tanaman pangan paling baik dibanding kebijakan lainnya

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The objective of the research is to analyze the impact of food crops sector development toward the improvement of National GDP and Output, and the improvement of income distribution. The Analysis uses Social Accounting Matrix (SAM) model. In order to accomplish the objective of this research, four tools are

used i.e.: accounting multiplier, decomposition multiplier, structural path analysis (SPA), and gini coefficient. The result shows that food crops sector has contributed toward the improvement of National GDP and Output, and the improvement of income distribution. Moreover, government expenditure in food

crops sector is able to improve National GDP and Output, and to improve income distribution. Generally, increasing production in food crops is the most effective policy to improve National GDP and to improve output in food crops sector."

"ABSTRAkThe objective of this research is to examine the relationship between natural resource abundance and economic welfare at the national level of indonesia. four variable of institutional quality, investment level, education level, and industry value added are considered in the study as the moderating variables between economic welfare and natural resources rents. this study found the results is not robust to conclude that the rent generated from natural resources is contribute to the economic welfare in indonesia. nevertheless, this study found there are three moderating variables that can become a support to strengthen the relationship between natural resources and economic welfare, these are institutional quality through improvementin the political stability, strengthening the accountability, stringent the regulations and enforcing the rule of law; primary completion level; and industry value added. "

"ABSTRAkThe objective of this research is to examine the relationship between natural resource abundance and economic welfare at the national level of indonesia. four variable of institutional quality, investment level, education level, and industry value added are considered in the study as the moderating variables between economic welfare and natural resources rents. this study found the results is not robust to conclude that the rent generated from natural resources is contribute to the economic welfare in indonesia. nevertheless, this study found there are three moderating variables that can become a support to strengthen the relationship between natural resources and economic welfare, these are institutional quality through improvementin the political stability, strengthening the accountability, stringent the regulations and enforcing the rule of law; primary completion level; and industry value added. "

"Penelitian ini bertujuan untuk menyelidiki secara empiris dampak sektor keuangan syariah, yaitu perbankan dan pasar modal, pada pertumbuhan ekonomi di Indonesia. Model yang digunakan dalam penelitian ini adalah pendekatan ARDL, error correction model dan granger causality dengan data triwulan dari tahun 2000 hingga 2020. Penelitian ini menemukan bahwa dalam jangka penjang tabungan perbankan syariah berpengaruh positif signifikan terhadap pertumbuhan ekonomi. Begitupun pembiayaan perbankan syariah memiliki pengaruh positif signifikan terhadap pertumbuhan ekonomi. Selanjutnya pasar modal syariah juga memiliki pengaruh positif terhadap pertumbuhan ekonomi namun porsinya sangat sedikit. Penelitian ini juga menemukan hubungan kausalitas antar variabel. Diantaranya tabungan perbankan syariah mendukung feedback hypothesis, sementara pembiayaan perbankan syariah mendukung teori growth – led hypothesis. Namun untuk pasar modal hasil dari hubungan kausalitas menyatakan bahwa tidak ada hubungan antara pasar modal terhadap pertumbuhan ekonomi yang artinya mendukung teori neutrality hypothesis. Hasil penelitian ini diharapkan dapat menjadi acuan dalam memberikan kebijakan yang tepat untuk mempercepat pertumbuhan keuangan syariah di Indonesia, mengingat potensi penduduk muslim yang besar dan prestasi yang telah diperoleh Indonesia di bidang keuangan syariah hingga saat ini.

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This study aims to empirically investigate the impact of the Islamic finance sector, namely banking and capital markets, on economic growth in Indonesia. The model used in this study is the ARDL approach, error correction model and Granger causality with quarterly data from 2000 to 2020. This study found that in the long term Islamic banking savings had a significant positive effect on economic growth. Likewise, Islamic banking financing has a significant positive effect on economic growth. Furthermore, the Islamic capital market also has a positive influence on economic growth but the portion is very small. This study also found a causal relationship between variables. Among them, Islamic banking savings support the feedback hypothesis, while Islamic banking financing supports the growth-led hypothesis. However, for the capital market, the results of a causal relationship state that there is no relationship between the capital market and economic growth, which means that it supports the neutrality hypothesis theory. The results of this study are expected to be a reference in providing the right policies to accelerate the growth of Islamic finance in Indonesia, considering the large potential of the Muslim population and the achievements that Indonesia has obtained in the field of Islamic finance to date."

"Rantai pasok pangan segar berkaitan dengan masalah kompleks seperti sifat komoditas yang mudah rusak, interaksi dengan banyak pemangku kepentingan, dan pengaruh antar sektor yang dapat memicu food loss. Food loss mengacu pada penurunan kuantitas pangan pada rantai pasok pangan sebelum tahap konsumsi. Tujuan dari penelitian ini adalah merancang strategi penanganan food loss sektor holtikultura pada rantai pasok produk pangan segar. Penelitian ini mengidentifikasi 15 faktor penyebab food loss dari data yang dikumpulkan melalui wawancara dengan sekelompok ahli terpilih. Selain itu, untuk menganalisis faktor-faktor yang teridentifikasi, digunakan Interpretative Structural Modeling (ISM) dan MICMAC. Semua elemen berada pada sektor Linkage yang memiliki daya pengaruh yang tinggi sekaligus ketergantungan yang tinggi pula. Karakteristiknya adalah bahwa setiap tindakan pada elemen tersebut akan memiliki efek pada variabel di atas tingkat mereka dan efek umpan balik pada elemennya sendiri. Berdasarkan hasil diskusi analisa ISM-MICMAC dengan para ahli, maka faktor penyebab utama food loss yang harus dikaji adalah kelima belas elemen tersebut. Rekomendasi strategi untuk kelima belas elemen dapat diimplementasikan dengan melibatkan berbagai pihak yaitu pemerintah, perusahaan swasta, serta institusi pendidikan.

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Food supply chain deals with complex issues such as perishable commodities, interactions with many stakeholders, and inter-sectoral influences that can trigger food loss. Food loss refers to a decrease in the quantity of food in the food supply chain before the consumption stage. The purpose of this study is to design a strategy for handling food loss in the horticultural sector in the supply chain of fresh food products. This study identified 15 factors causing food loss from data collected through interviews with experts. In addition, to analyze the identified factors, Interpretative Structural Modeling (ISM) and MICMAC were used. All elements are in the Linkage sector which has high influence and high dependence. The characteristic is that any action on the element will have an effect on the variables above their level and a feedback effect on the element itself. Based on the results of ISM-MICMAC analysis discussions with experts, the main factors causing food loss that must be studied are the fifteen elements. The strategic recommendations for the fifteen elements can be implemented by involving various parties, which are the government, private companies, and educational institutions."