scholarly journals Soybean Competitiveness Compared to Other Secondary Crops and Its Prospect to Achieve Self-Sufficiency in Indonesia

2021 ◽  
Vol 8 ◽  
pp. 13-19
Author(s):  
Dewa K. S. Swastika ◽  
◽  
Bambang Sayaka
Keyword(s):  
Population Growth ◽  
Domestic Demand ◽  
Farm Income ◽  
Analysis Method ◽  
Self Sufficiency

Demand for soybean in Indonesia keeps increasing along with population growth. So far, most of the domestic demand is fulfilled through soybean import. This study aims to analyze the prospect of soybean self-sufficiency in the perspective of its competitiveness against other secondary crops in Indonesia. The analysis method applied in this study is comparison of financial farm income between soybean farming against other secondary crops, namely corn, groundnut and mungbean. The results of analysis showed that soybean was not competitive compared to other secondary crops. This was indicated by relatively low farm income of soybean farming compared to those of corn, groundnut, and mungbean. Rational farmers would be expected to choose the more profitable crops rather than growing soybean. Therefore, without significant breakthroughs, the area planted with soybean and its production will keep decreasing. In other words, it is almost impossible to achieve self-sufficency in soybean.

Doubling the farm income through the promoting of pigeonpea based intercropping system: A review

2017 ◽  
Vol 38 (03) ◽  
Author(s):  
Narendra Kumawat ◽  
Rakesh Kumar ◽  
R. K. Yadav ◽  
I. S. Tomar ◽  
Yogesh Kumar Sahu ◽  
...  
Keyword(s):  
Growth Rate ◽  
Cropping Systems ◽  
Farm Income ◽  
Annual Growth Rate ◽  
Biotic Stresses ◽  
Research Technology ◽  
Technology Generation ◽  
The People ◽  
Self Sufficiency ◽  
Sole Cropping

In order to ensure self-sufficiency, the current pulses requirement in the country is estimated at 22.5 MT. Keeping in view the trends in population growth rate and that several other options besides pulses are now available for meeting protein requirements of the people due to change in food habits of masses, the pulse requirement in the country is projected at 32 MT by the year 2030 and 39 million tonnes by the year 2050. This necessitates an annual growth rate of 2.2% requiring a phenomenal shift in research, technology generation, its dissemination, and commercialization along with capacity building in frontier areas of research. In every five year interval productivity will have to be enhanced by an average of about 80 kg/ha over the previous one to achieve a final productivity rate of 950 kg/ha by the end of 2025 and 1335 kg/ha by the end of 2050. The above-stated projections have been made assuming that practically it will be feasible to increase about 4 million ha additional area under pulses. The current per capita availability is estimated at 41.6 g/capita/day which was quite low (31.8 g) in 2000. Cultivation of pulses on poor soils under rainfed conditions with minimum inputs and care subject these crops to severe yield losses not only due to edaphic, abiotic and socio-economic factors but also due to confounding effects of various biotic stresses. High influence of environmental factors and their interactions with genotype are the major production constraint in pulses which lead to a limited gain in terms of productivity in most of the pulses. Therefore, for increasing of production of pulses, intercropping systems found to more beneficial in comparison to sole cropping systems in respect to profitability and soil fertility.

scholarly journals Cambio climático y seguridad alimentaria al 2030: una perspectiva global de la economía en general

2011 ◽  
Vol 11 (1) ◽  
pp. 29 ◽  
Author(s):  
Ernesto Valenzuela ◽  
Kym Anderson
Keyword(s):  
Climate Change ◽  
Global Economy ◽  
Farm Income ◽  
Economic Welfare ◽  
Agricultural Prices ◽  
Self Sufficiency ◽  
Farm Product ◽  
Unskilled Workers ◽  
The Tropics ◽  
On Farm

The effects of climate change on agriculture raise major food security concerns. We use a global economy-wide model to assess the effects on farm product prices of expected yield changes. Also modelled is an expected adverse effect of higher temperatures and humidity in the tropics on the productivity of unskilled workers in developing countries. Given the degrees of uncertainty about plausible effects of climate change, our modelling accounts for a range of yield productivity and labor shocks. The results entail consequences for international agricultural prices, national food consumption, self sufficiency, net farm income and economic welfare.

scholarly journals ANALISIS PENENTUAN INDIKATOR KUNCI DALAM PENGHITUNGAN INDEKS KESEJAHTERAAN MASYARAKAT KELAUTAN DAN PERIKANAN

2017 ◽  
Vol 7 (1) ◽  
pp. 51
Author(s):  
Subhechanis Saptanto ◽  
Tikkyrino Kurniawan ◽  
Hertria Maharani Putri ◽  
Tajerin Tajerin
Keyword(s):  
Local Community ◽  
Social Indicators ◽  
Secondary Data ◽  
Cost Structure ◽  
Farm Income ◽  
Analysis Method ◽  
Literature Study ◽  
Collection Method ◽  
Key Indicators ◽  
Welfare Index

Indeks kesejahteraan masyarakat kelautan perikanan merupakan salah satu indeks yang secara cepat dapat mengukur tingkat kesejahteraan yang bergerak di sektor kelautan dan perikanan. Di dalam indeks kesejahteraan terdapat indikator-indikator kunci yang menjadi penentu kesejahteraan masyarakat kp. Tujuan dari penulisan makalah ini adalah menganalisis indikator-indikator kunci dalam penghitungan indeks kesejahteraan masyarakat kp sehingga dapat dihasilkan suatu strategi baik yang bersifat pemeliharaan maupun perbaikan pada provinsi-provinsi di Indonesia. Data yang digunakan dalam penelitian ini adalah data sekunder yang bersumber dari instansi di lingkup Kementerian Kelautan dan Perikanan. Waktu penelitian dilakukan dari bulan Februari 2017 hingga April 2017. Metode pengumpulan data dilakukan dengan studi literatur dan mendatangi langsung instansi yang terkait dengan data. Metode analisis data digunakan metode data panel kausalitas Granger. Metode ini dapat digunakan untuk menganalisis indikator-indikator yang menjadi kunci untuk dilakukan perbaikan dan perawatan. Hasil penelitian menunjukkan bahwa indikator kunci di bidang sosial antara lain XS1 (kelembagaan usaha KUB Tangkap), XS4 (Kelembagaan usaha Garam Rakyat), XS5 (kelembagaan Pokmaswas) , XS7 (masyarakat adat, tradisional dan lokal yang direvitalisasi) dan XS9 (pelaku usaha mikro yang manidir di kawasan pesisir dan pulau-pulau kecil) dan indikator di bidang ekonomi yaitu XE1 (Nilai Tukar Nelayan), XE8 (Rata-rata pendapatan petambak garam/bulan) dan XE11 (struktur ongkos usaha perikanan).  Title: Analysis Of The Key Indicators Determination In The Calculation Of Community Marine And Fisheries Welfare IndexThe marine fisheries community welfare index is one of the indices that can rapidly measure the level of welfare moving in the marine and fisheries sector. In the index of welfare, there are key indicators that determine the welfare of the fisheries and marines community. The purpose of writing this paper is to analyze the key indicators in calculating the community welfare index fisheries and marines so that it can produce a good strategy that is maintenance and improvement in the provinces in Indonesia. The data used in this study is secondary data sourced from agencies in the scope of the Ministry of Marine Affairs and Fisheries. The study was conducted from February 2017 to April 2017. The data collection method was done by literature study and went directly to the related institution with the data. Data analysis method used Granger causality data panel method. This method can be used to analyze the key indicators for improvement and maintenance. The results of the study indicate that key social indicators include XS1 (KUB Capture Business Institution), XS4 (People's Salt Business Institution), XS5 (institutional Pokmaswas), XS7 (indigenous, traditional and local community revitalized) and XS9 (micro business actors (XE1 (Fisherman Exchange Rate), XE8 (Average salt farm income / month) and XE11 (fishery cost structure).

scholarly journals Community Participation in the Development of Urban Farming in Yogyakarta City

2021 ◽  
Vol 232 ◽  
pp. 01024
Author(s):  
Retno Wulandari ◽  
Roso Witjaksono ◽  
Ratih Inekewati
Keyword(s):  
Community Participation ◽  
Home Environment ◽  
Urban Areas ◽  
Family Income ◽  
Descriptive Analysis ◽  
Analysis Method ◽  
Horticultural Crops ◽  
Self Sufficiency ◽  
Farmer Groups ◽  
Yogyakarta City

The optimal yard utilization would support the family’s food independence a well-managed yard will provide benefits in improving family food self-sufficiency, nutrition, increasing family income, and making a beautiful, picturesque, and comfortable home environment. Efforts to build family food security in urban areas can be carried out through yard utilization on a narrow land. This study aims to determine the urban yard utilization and the members’ participation in it. The research was conducted in Bausasran Subdistrict in Yogyakarta City, employing a descriptive analysis method with 40 samples of Women Farmer Groups’ members. The research results revealed that community participation in urban yard utilization activities was classified as active. The community’s active participation was indicated by the existence of “Kampung Sayur Bausasran”, developed by establishing nursery gardens, creating group gardens, making vegetable aisles, cultivating medicinal plants, cultivating horticultural crops, and catfish farming. Vegetable villages can provide good results for community economic empowerment if managed optimally.

scholarly journals PENGARUH PERTUMBUHAN EKONOMI DAN PERTUMBUHAN PENDUDUK TERHADAP TINGKAT PARTISIPASI ANGKATAN KERJA DI KOTA LHOKSEUMAWE PERIODE 2007-2015

2018 ◽  
Vol 7 (2) ◽  
pp. 33
Author(s):  
Putri Susanti ◽  
Cut Putri Mellita Sari
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Labor Force ◽  
Labor Force Participation ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Participation Rate ◽  
Multiple Linear Regression Analysis ◽  
Labor Force Participation Rate ◽  
Analysis Method

This study aims to determine the effect of economic growth and population growth on labor force participation rate (LFPR) in Lhokseumawe city from 2007 to 2015. The data used in this study is secondary data obtained from the Central Bureau of Statistics (BPS) during 2007 to 2015. Data analysis method used in this research is Multiple Linear regression analysis method with the help of EVIEWS. The results partially (t-test) show that economic growth has a positive and significant effect on labor force participation rate (LFPR) in Lhokseumawe City from 2007 to 2015 and population growth has a positive and significant effect on labor force participation rate (LFPR) in Lhokseumawe City from 2007 to 2015. Simultaneously (F test) indicates that economic growth and population growth have a positive and significant effect on labor force participation rate (LFPR) in Lhokseumawe City from 2007 to 2015. Economic growth and population growth affect labor force participation rate (LFPR) by 14.7863% and the rest 85.2137% is influenced by other variables outside of this study. 

scholarly journals Forest gardens increase the financial viability of farming enterprises in Sri Lanka

2020 ◽  
Author(s):  
Kamal Melvani ◽  
Bronwyn Myers ◽  
Natarajan Palaniandavan ◽  
Mirjam Kaestli ◽  
Mila Bristow ◽  
...  
Keyword(s):  
Financial Performance ◽  
Farm Income ◽  
Financial Viability ◽  
Sri Lankan ◽  
Land Uses ◽  
Self Sufficiency ◽  
Forest Garden ◽  
Asset Values ◽  
Current Asset ◽  
On Farm

AbstractForest gardens (FGs) are tree-dominant land uses in Sri Lankan farming enterprises. Although FG financial performance has been described, their overall contributions to farming enterprises remain unclear. This information is critical given the global quest for financially viable, sustainable agricultural models. Farming enterprises include On-farm (land uses: FGs, paddy, cash crops, plantations, swidden/chena plots, livestock), Off-farm (employment, trading, grants, welfare) and household components. Forest garden financial performance was compared with other enterprise components in short-(reference year, 2012–2013) and long-terms (beyond 2013). Financial data were collected for 85 farming enterprises in nine locations of the Intermediate zone using Household Income and Expenditure surveys and quantified using accounting procedures. In the short-term, 49% of On-farm income was the value of household consumption while 54% of On-farm expense the value of household contributions. FGs contributed 29% to food and fuelwood self-sufficiency, generated the highest profit, were the most financially efficient land use, and average FG profit (Current assets) was greater than enterprise profit. In the long-term, FGs had the highest number of timber and fuelwood species (biological assets). Their average net realisable value (NRV) was 90% of total NRV for biological assets from all land uses. Since FGs occupied 68% of the study area, their substantial biological and land assets had high Non-Current asset values. Average FG Non-Current asset values accounted for 79% of Total Equity and were farmers' core ownership interest in enterprises. Forest gardens increase the financial viability of farming enterprises. Their financial contributions warrant recognition in national economic performance assessments.

scholarly journals Approximating Solution of Fabrizio-Caputo Volterra’s Model for Population Growth in a Closed System by Homotopy Analysis Method

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Tahereh Bashiri ◽  
S. Mansour Vaezpour ◽  
Juan J. Nieto
Keyword(s):  
Population Growth ◽  
Closed System ◽  
Homotopy Analysis Method ◽  
Logistic Equation ◽  
Volterra Model ◽  
Initial Condition ◽  
Analysis Method ◽  
Integral Term ◽  
Homotopy Analysis ◽  
Accumulated Toxicity

Volterra’s model for population growth in a closed system consists in an integral term to indicate accumulated toxicity besides the usual terms of the logistic equation. Scudo in 1971 suggested the Volterra model for a population u(t) of identical individuals to show crowding and sensitivity to “total metabolism”: du/dt=au(t)-bu2(t)-cu(t)∫0tu(s)ds. In this paper our target is studying the existence and uniqueness as well as approximating the following Caputo-Fabrizio Volterra’s model for population growth in a closed system:  CFDαu(t)=au(t)-bu2(t)-cu(t)∫0tu(s)ds, α∈[0,1], subject to the initial condition u(0)=0. The mechanism for approximating the solution is Homotopy Analysis Method which is a semianalytical technique to solve nonlinear ordinary and partial differential equations. Furthermore, we use the same method to analyze a similar closed system by considering classical Caputo’s fractional derivative. Comparison between the results for these two factional derivatives is also included.

scholarly journals Strategi Pengembangan Usahatani Gula Kelapa Di Kecamatan Puring Kabupaten Kebumen

2018 ◽  
Vol 14 (2) ◽  
pp. 105
Author(s):  
Wahid Abdil Malik ◽  
Minar Ferichani ◽  
Emi Widiyanti
Keyword(s):  
Swot Analysis ◽  
External Factor ◽  
Farm Income ◽  
Analysis Method ◽  
Internal Factor ◽  
High Increase ◽  
Internal Factors ◽  
Palm Sugar ◽  
Factor Evaluation ◽  
Descriptive Method

<em>This study aims to determine the magnitude of farm income coconut sugar in District Puring Kebumen, knowing internal factors (strengths and weaknesses) and external (opportunities and threats), to formulate a possible strategic alternatives and identifies priorities for the strategy to be applied in the development of farming of palm sugar in District Puring Kebumen. The research method used is descriptive method. Data analysis method used is the Revenue Analysis, Internal Factor Evaluation (IFE), External Factor Evaluation (EFE), SWOT Analysis and QSPM. These results indicate that the amount of income of Rp 37,323,400.00 for the period June 2015 - June 2016. Internal Factor Evaluation (IFE) showed that coconut sugar farm has five strengths and four weaknesses. External Factor Evaluation (EFE) show gardens coconut sugar farm has four opportunities and five threats. SWOT Analysis generate alternative strategies that can be implemented that improve product with open innovation and their consumer confidence, create attractive packaging so that the consumer response is high, increase competitiveness through cooperatives or associations for joint marketing, and to expand the market by leveraging information technology such as the Internet. QSPM produce good strategic priorities to be implemented is to increase competitiveness through cooperatives or associations for joint marketing.</em>

scholarly journals COMPETITIVENESS OF SOYBEAN BUSINESS FARMING ANALYSIS IN GROBOGAN REGENCY CENTRAL JAVA PROVINCE

2018 ◽  
Vol 5 (2) ◽  
pp. 112
Author(s):  
Nurul Widya Anggraeni ◽  
Wiludjeng Roessali ◽  
Hery Setiyawan
Keyword(s):  
Random Sampling ◽  
Research Method ◽  
Simple Random Sampling ◽  
Domestic Demand ◽  
Farm Income ◽  
Cost Ratio ◽  
Central Java ◽  
Private Cost ◽  
Policy Analysis Matrix ◽  
Central Java Province

Soybean is one of the strategic commodities. To fulfill the increasing of domestic demand, it must be supplied from imports because domestic production is unsufficient. In addition, lower price of imported soybean has effected in competition of domestic farmers to get profit. Demand of soybean in the international and domestic market has always increased. Indonesia has imported soybeans to fill domestic soybean demand. This condition will have an impact on the decline in farm income due to soybean import. The aims of this study were to analyze the level of private profitability and competitiveness of soybean farming in Grobogan Regency.This research used survey research method with number of samples taken through simple random sampling of 100 soybean farmers. Data were analyzed by Policy Analysis Matrix (PAM). The results showed that private profitability of soybean farming in Grobogan Regency was Rp1.690.393,22 per MT. Two indicators to measure the competitiveness were Private Cost Ratio (PCR) and Domestic Resources Cost Ratio (DRCR). PCR value was 0,75 which showed that soybean farming in Grobogan Regency was more competitive and Domestic Resources Cost Ratio (DRCR) showed 0,88. It showed that soybean farming had a comparative advantage.

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