Efficiency of corn cultivation to enhance food self-sufficiency in Indonesia
DOI:
https://doi.org/10.5965/223811712342024616Keywords:
performance evaluation, corn farming efficiency, food self-sufficiency, production factor, stochastic frontier analysisAbstract
Corn farming is crucial for achieving national food self-sufficiency in Central Java Province, as it contributes to structural changes in the economy. This research aims to evaluate the effectiveness of the methods used and study the factors involved in the production of corn. A Stochastic Frontier (SFA) model assessed efficiency and production factors. The findings indicate that farmers operate at a technical efficiency of 77%, an allocative efficiency of 63%, and an economic efficiency of 56%. To enhance efficiency, farmers are encouraged to optimize corn farming inputs. Notably, the production factors of land area, seeds, urea fertilizers, NPK fertilizers, KCI fertilizers, pesticides, and labor show positive effects. The evaluation of business size suggests that there are growing returns to scale, emphasizing the beneficial effect of increasing production inputs on the production of corn. However, neglecting production factors may lead to additional inputs and reduced crop yields. Optimizing the use of inputs can lead to increased production scale in corn farming, improved efficiency, and national food self-sufficiency. This research can provide valuable insights for farmers to enhance efficiency through the effective use of inputs. Moreover, the findings are instrumental in the government's development of agricultural plans aimed at advancing farming and implementing policies to boost efficiency and attain food self-sufficiency.
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References
ALQAISI O et al. 2019. Optimal dairy feed input selection under alternative feeds availability and relative prices. Information Processing in Agriculture 6: 438–453.
BECKER F et al. 2023. Impact of essential oils on methane emissions, milk yield, and feed efficiency and resulting influence on the carbon footprint of dairy production systems. Environmental Science and Pollution Research 30: 48824–48836.
BERK A et al. 2022. Measurement of resource use efficiency in corn production: A two-stage data envelopment analysis approach in Turkey. Ciencia Rural 52: e20210022.
BPS 2023. Statistics of Indonesia. Indonesian in Figure 2021. Jakarta.
DRASTIG K et al. 2016. Farm water productivity in broiler production: case studies in Brazil. Journal of Cleaner Production 135: 9–19.
FAN Y et al. 2018. Multi-crop production decisions and economic irrigationwater use efficiency: The effects ofwater costs, pressure irrigation adoption, and climatic determinants. Water 10:1637.
FAO. 2022. FAO statistical pocketbook. Rome: FAO
GEFFERSA AG et al. 2019. Technology adoption and technical efficiency in maize production in rural Ethiopia. African Journal of Agricultural and Resource Economics 14: 184–201.
GISLON G et al. 2020. Forage systems and sustainability of milk production: Feed efficiency, environmental impacts and soil carbon stocks. Journal of Cleaner Production. 260: 121012.
HETMANENKO V et al. 2021. Technological, agronomical and economic efficiency of new organic and organo-mineral soil amendments. E3S Web of Conferences 280: 1–7.
HRYHORIV Y et al. 2022. Economic efficiency of sweet corn growing with nutrition optimization. Agraarteadus 33: 81–87.
HUFFMAN WE et al. 2018. The economic impacts of technology and climate change: New evidence from U.S. corn yields. Agricultural Economics 49: 463–479.
ILHAM N et al. 2021. Production Efficiency of Poultry Small-Scale Laying Hen in Indonesia. Jurnal Ilmu Ternak Dan Veteriner 26: 187–194.
ILSAN M & HASAN I. 2022. Potential and realized of farmer household labor to support optimal performance of corn and rice farming in South Sulawesi Indonesia. Pakistan Journal of Life and Social Sciences 20: 8–14.
JAHANGIRPOUR D & ZIBAEI M. 2023. Farmers’ Preferences in Adopting Conservation Tillage Systems Considering Risk Attitudes in Bakhtegan Basin. Journal of Agricultural Science and Technology 25: 1309–1322.
LI Z et al. 2022. Assessing the impacts of pre-growing-season weather conditions on soil nitrogen dynamics and corn productivity in the U.S. Midwest. Field Crops Research 284: 108563.
LOHOSHA R et al. 2023. Economic efficiency of using digestate from biogas plants in Ukraine when growing agricultural crops as a way of achieving the goals of the European Green Deal. Polityka Energetyczna 26: 161–182.
LOHOSHA R et al. 2024. An advanced European overview of the bioenergy efficiency of using digestate from biogas plants when growing agricultural crops. Polityka Energetyczna 27: 5–25.
MISHRA AK et al. 2022. Technology and managerial gaps in contract farming: the case of specialty crop production. Journal of Agricultural and Resource Economics 47: 77–96.
PREZA-FONTES G et al. 2021. Development of an online tool for tracking soil nitrogen to improve the environmental performance of maize production. Sustainability 13: 5649.
PRIYANTO D et al. 2023. Analyzing technical and economic performance for developing corn-based sheep farming in rural indonesia. International Journal of Sustainable Development and Planning 18: 3935–3945.
RAHAYU HSP et al. 2021. Analysis of marketing margins and farmers’ shares on corn in sigi regency, central sulawesi, indonesia. Caraka Tani: Journal of Sustainable Agriculture 36: 355.
RAHAYU S et al. 2019. Stakeholder role in improving agribusiness efficiency and food security in developing countries. International Journal of Economics and Business Administration 7: 464–470.
RIYANTO D et al. 2021. Application of rice-corn intercropping as an optimization of the land use utilization and increasing of farmer income in playen, gunungkidul. E3S Web of Conferences 23: 1–10.
SANTA NM et al. 2021. The efficiency of pig farming inputs in Minahasa Regency of North Sulawesi. Journal of the Indonesian Tropical Animal Agriculture 46: 84–90.
SCHÖNLEBEN M et al. 2020. Towards smart dairy nutrition: Improving sustainability and economics of dairy production. Czech Journal of Animal Science 65: 153–161.
SIAGIAN V et al. 2021. Analysis of factors that influence production and cost of corn in Banten province. E3S Web of Conferences 232: 1–9.
WANG J & HU X. 2021. Research on corn production efficiency and influencing factors of typical farms: Based on data from 12 corn-producing countries from 2012 to 2019. PLoS ONE 16.
WANG X et al. 2023. Feeding whole-plant ensiled corn stover affects growth performance, blood parameters, and Cecal microbiota of Holdobagy goose. Frontiers in Veterinary Science 10.
XU B et al. 2021. Research on the whole process mechanized agricultural machinery allocation of wheat and corn based on economic benefits. Journal of Chinese Agricultural Mechanization 42: 222–227.
ZHANG M et al. 2018. Empirical study on the sustainability of China’s grain quality improvement: The role of transportation, labor, and agricultural machinery. International journal of environmental research and public health 15: 271.
ZHANG W & QIN Q. 2019. Decoupling analysis on water resources utilization of planting industry and economic development in Shaanxi Province from the perspective of water footprint. Chinese Journal of Eco-Agriculture 27: 153–162.
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