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"This research examined the inequality that emerges as Indonesia's economy shifts from an agricultural to a non-agricultural sector at the subnational level. These research questions include: (1) How has the agricultural sector in the Indonesian provinces changed over the past two decades? (2) What was the widespread impact of several socioeconomic variables on the transformation of agriculture? (3) How has the agricultural sub-sector responded to the dynamics of these socioeconomic factors over the last decade? The scope of the analysis was the whole province of Indonesia, with time series between 2001-2018. The shift in agriculture at the provincial level was mapped using indicators of poverty and the sector's economic contribution to each province. The logistic regression method was used to see the impact of socioeconomic factors on the agricultural transformation. In contrast, the panel regression was applied to respond to the dynamics of the agricultural sub-sector in terms of socioeconomics in the last ten years. According to the findings of agricultural transformation mapping, there were no changes in the distribution of rural poverty or the agricultural contribution factors between the provinces. Several macroeconomic, social, and infrastructure development factors also significantly contributed to encouraging agricultural transformation and enhancing the added value of the agricultural sector as a whole. It was important to better efficiently utilize the economic potential, which was done by taking production efficiency into account. Furthermore, consumer behaviour and the level of worker productivity had to be considered in attempts to boost economic productivity."

"Program subsidi input pertanian seperti subsidi pupuk telah diterapkan sejak tahun 1970-an di Indonesia. Dalam pelaksanaanya, kebijakan subsidi pupuk terbukti berpengaruh dalam meningkatkan produktivitas lahan pertanian di Indonesia. Namun, kebijakan subsidi pupuk seringkali mengalami kendala, seperti sistem alokasi pupuk bersubsidi kurang akurat, peggunaan pupuk bersubsidi berlebih, hingga masalah lemahnya pengawasan distribusi pupuk bersubsidi. Oleh karena itu, pemerintah pada tahun 2017 memenerapkan program Kartu Tani sebagai kebijakan baru untuk mengatasi masalah-masalah di kebijakan subsidi pupuk sebelumnya. Untuk mengetahui dampak program Kartu Tani terhadap tingkat produktivitas lahan pertanian pangan di Indonesia, dilakukan penelitian menggunakan data panel seluruh provinsi di Indonesia selama 6 tahun (2015-2020). Menggunakan model Pooled Least Square (PLS), penelitian ini ingin menguji apakah program Kartu Tani berpegaruh terhadap produktivitas lahan pertanian dengan menggunakan program Kartu Tani, pupuk bersubsidi, jumlah petani, iklim, dan teknologi sebagai variabel independen. Hasil penelitian menunjukkan bahwa program Kartu Tani terbukti secara staitistik meningkatkan produktivitas lahan pertanian. Selain itu, pengaruh kondisi iklim dan penggunaan teknologi alat pertanian juga terbukti secara signifikan dapat meningkatkan produktivitas lahan pertanian. Sementara itu, alokasi pupuk bersubsidi dan jumlah petani tidak terbukti signifikan secara statistik dapat meningkatkan produktivitas lahan pertanian. Hal ini karena inefisisensi penggunaan pupuk bersubsidi dan jumlah petani yang cukup banyak dibandingkan luas lahan pertanian.

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Agricultural input subsidy programs such as fertilizer subsidies have been implemented since the 1970s in Indonesia. In its implementation, the fertilizer subsidy policy has proven to be influential in increasing the productivity of agricultural land in Indonesia. However, the fertilizer subsidy policy often encounters obstacles, such as the inaccurate distribution of subsidized fertilizers, the excessive use of subsidized fertilizers, and the problem of weak supervision of the distribution of subsidized fertilizers. Therefore, in 2017 the government implemented the Kartu Tani program as a new policy to overcome problems in the previous fertilizer subsidy policy. To find out the impact of the Kartu Tani program on the level of productivity of food agriculture land in Indonesia, a study was conducted using panel data from all provinces in Indonesia for 6 years (2015-2020). Using Pooled Least Square (PLS) models, this study wants to test whether the Kartu Tani program affects the productivity of agricultural land by using the Kartu Tani program, subsidized fertilizer, number of farmers, climate, and technology as independent variables. The results showed that the Kartu Tani program was statistically proven to increase the productivity of agricultural land. In addition, the influence of climatic conditions and the use of agricultural equipment technology has also been shown to significantly increase the productivity of agricultural land. Meanwhile, the allocation of subsidized fertilizers and the number of farmers were not proven to be statistically significant in increasing the productivity of agricultural land. This is due to the inefficiency of using subsidized fertilizers and the large number of farmers compared to the area of ??agricultural land.

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"One of the most worrying global issues facing agricultural interests today is the rapid conversion of productive agricultural land to non-agricultural uses. Indonesia has enacted the Sustainable Agriculture Land Protection Law (Lahan Pertanian Pangan Berkelanjutan / LP2B) as a crucial section of the Spatial Planning Regulations. Furthermore, the law has been ratified by a number of regional regulations. However, there are still misconceptions about LP2B among stakeholders which can magnify the difficulty of implementing the regulation. Using the historical method, this descriptive paper elaborates difficulties in protecting agricultural land due to misconceptions of stakeholders within the case study in Tasikmalaya Regency, West Java Province, Indonesia. Misconceptions of stakeholders encompass three aspects: (1) land ownership (2) determination process and (3) implementation of LP2B protection. Difficulties did not automatically cease when the regulations had just enacted, instead, they continue into the application stage and become discourses in various cross-institutional forums. Furthermore, this paper synthesizes the author's own conceptions to rectify the misconceptions based on academic references and relevant statutory arguments. Stakeholders referred to in this paper were bureaucrats in agricultural and other institutions related to LP2B including the Regional Development Planning Agency, and the Ministry of Spatial Planning / National Land Agency. They were represented by officials, bureaucrats, or personnel who together with the author attended various coordination meetings, dissemination, workshops, focus group discussions, and similar forums that discussing LP2B and or other related topics in the period of 2014-2019. Policy implications are discussed."

"ILUC is the abbreviation for Indirect Land Use Change. ILUC predictions mainly depend on the assumptions about how the additional agricultural demand for biomass production is covered. But iLUC due to agricultural growth varied strongly in the past among the different regions worldwide. Therefore, we analyzed the correlation between the development of the agricultural production and the land use changes and investigated which options (expansion of the agricultural area, increasing productivity, forest clearing etc.) supplied the feedstock demand for the growing agriculture sector in the past. Our investigations altogether show what the essential option for the increase of the biomass production has been and how it is related to the intensification of the usage of existing agricultural area, globally and even in countries with a high deforestation rate. Besides this the analysis of the main drivers of land use change in the past due to agriculture growth is essential for iLUC predictions and prevention policy. One driver was the loss of agricultural land in important areas all over the world. Our analysis shows that governance has a central influence on the development of land use. If the decoupling of production increase from the expansion of agricultural area for biomass production into nature areas wants to be achieved, it will have to happen via governance in the relevant countries. Therefore, instruments have to be developed and implemented that are able to regulate land use sophistically corresponding to the individual countries."

"Pembangunan bendungan memiliki peran yang sangat penting dalam pengelolaan sumber daya air, seperti untuk irigasi, energi, dan konsumsi. Beberapa penelitian sebelumnya menunjukkan dampak positif bendungan besar terhadap produktivitas pertanian, terutama dalam hal efisiensi irigasi. Namun, distribusi manfaat ini di kalangan masyarakat lokal masih belum jelas. Beberapa studi menunjukkan bahwa penduduk yang tinggal di dekat bendungan sering kali memperoleh manfaat yang lebih sedikit. Penelitian ini bertujuan untuk mengevaluasi dampak bendungan besar dan kecil terhadap produktivitas pertanian yang diukur dengan frekuensi panen padi di tingkat rumah tangga, dengan menggunakan data Indonesia Family Life Survey (IFLS) 2007 dan 2014 serta data spasial bendungan di Indonesia. Hasil penelitian menunjukkan bahwa keberadaan bendungan besar cenderung berhubungan negatif dengan frekuensi panen padi di rumah tangga sekitar bendungan. Sebaliknya, bendungan kecil menunjukkan tren yang berbeda, di mana keberadaannya terkait dengan peningkatan produktivitas pertanian. Penelitian ini menggunakan pendekatan yang unik dengan mempertimbangkan jarak rumah tangga dari lokasi bendungan untuk memberikan prediksi yang lebih akurat mengenai perubahan produktivitas pertanian di daerah sekitar bendungan besar dibandingkan dengan yang lebih jauh.

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The construction of dams plays a crucial role in water resource management, including irrigation, energy, and consumption. Several previous studies have highlighted the positive impact of large dams on agricultural productivity, particularly in terms of irrigation efficiency. However, the distribution of these benefits among local communities remains unclear. Some studies suggest that residents living near dams often receive fewer benefits. This study aims to evaluate the impact of large and small dams on agricultural productivity, measured by the frequency of rice harvests at the household level, using data from the Indonesia Family Life Survey (IFLS) 2007 and 2014, as well as spatial data on dams in Indonesia. The findings indicate that the presence of large dams tends to be negatively associated with the frequency of rice harvests for households near the dams. Conversely, small dams exhibit a different trend, where their presence is associated with increased agricultural productivity. This study employs a unique approach by considering the distance of households from dam locations to provide more accurate predictions of changes in agricultural productivity in areas near large dams compared to those farther away."

"Studi ini menganalisis determinan partisipasi rumah tangga pertanian pada pekerjaan non pertanian di perdesaan Indonesia, dalam upaya mengurangi kemiskinan di perdesaan sekaligus menjaga ketahanan pangan. Menggunakan data Survei Pendapatan Rumah Tangga Usaha Pertanian 2013 (SPP 2013) dan Pendataan Potensi Desa 2014 (Podes 2014), dengan metode regresi logistik biner, studi ini menunjukkan bahwa partisipasi rumah tangga pertanian pada pekerjaan non pertanian tidak hanya disebabkan oleh rendahnya pendapatan usaha pertanian, namun juga dipengaruhi faktor-faktor demografi sosial dan ekonomi dari karakteristik rumah tangga pertanian tersebut, seperti jumlah, umur dan pendidikan tenaga kerja, jumlah balita, anak 5-14 tahun, dan petani lansia, luas lahan pertanian dan jenis usaha pertanian utamanya, serta akses ke fasilitas dan kegiatan ekonomi.

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This study analyzes the determinants of participation of agricultural households in non-farm employment in rural Indonesia, in an effort to reduce poverty in rural areas while maintaining food security. The study used data from Farm Income Survey 2013 (SPP 2013) and Village Potential 2014 (Podes 2014). By using binary logistic regression method, this study revealed that the participation of agricultural households in non-farm employment is not only caused by low farm income, but also influenced by demographic social and economic factors of agricultural households characteristics, such as the number, age and education of the workforce, the number of infants, children 5-14 years old, and elderly farmers, agricultural land and main comodity, as well as access to economic facilities and economic activities."