The objective of this paper is to quantify the economic loss of the dairy farms due to the pandemic novel Coronavirus (COVID-19) infection by analyzing the real-time data of two typical farms (BD-2 and BD-14 cow) in Bangladesh and propose a strategic plan of action to make policy decisions in order to support the dairy industry. The International Farm Comparison Network (IFCN) Farm Simulation Approach and Technology Impact Policy Impact Calculations (TIPICAL) model was used considering with Corona (WC) and without Corona (WOC). The Integrated Dairy Research Network (IDRN) database (January 2019 to July 2020) was used for simulation of IFCN two typical farms. The milk price is decreased by 17% and feed price is increased by 3.7% due to COVID-19 in March which was used as the base for farm simulation. This resulted in a decrease in milk yield by 7.9% and 8.9% for small household and family farms, respectively. The cost of milk production increased by 19.10% and 10.9% for household and family farms, respectively. This has an overall negative impact on farm income which accounted for national economic loss from dairy farms in Bangladesh to 4.43 million USD/day (36.84 crore BDT). This loss has been fluctuated from April onward and was higher in June (3.83 million USD/day) due to a combination of COVID-19, flood, and seasonality effect on lowering milk production. At the same time, the farmers’ response to the resilience capacity (liquidity, operating profit margin, and financial performance) to combat COVID-19-induced situation has been declined substantially. Based on this, we conclude that the government might take a strategy to support farmers by providing financial support for increasing the operating capital and decreasing the cost of milk production. The outcome of this study is expected to be beneficial for policymakers, farmers, and processors in Bangladesh and similar other countries elsewhere.

本文的目的是通过分析孟加拉国两个典型农场（BD-2和BD-14奶牛）的实时数据来量化由于大流行新型冠状病毒（COVID-19）感染而导致的奶牛场的经济损失并提出战略行动计划以制定政策决策，以支持乳制品行业。考虑到带电晕（WC）和不带电晕（WOC）的情况，使用了国际农场比较网络（IFCN）农场模拟方法和技术影响政策影响计算（TIPICAL）模型。综合乳品研究网络（IDRN）数据库（2019年1月至2020年7月）用于IFCN两个典型农场的模拟。牛奶价格下跌了17％，饲料价格上涨了3.7％，这是由于3月份将COVID-19用作农场模拟的基础。这导致牛奶产量降低了7。小型家庭农场和家庭农场分别占9％和8.9％。家庭和家庭农场的牛奶生产成本分别增加了19.10％和10.9％。这对农场收入产生了总体负面影响，孟加拉国奶牛场造成的国民经济损失达443万美元/天（BDT 36.84千万比索）。由于COVID-19，洪水和季节性因素降低了牛奶产量，这种损失从4月开始一直波动，并在6月更高（383万美元/天）。同时，农民对抵御COVID-19引起的情况的抵御能力（流动性，营业利润率和财务绩效）的反应已大大下降。基于此，我们得出的结论是，政府可能会采取策略，通过提供财政支持以增加运营资本和降低牛奶生产成本的方式来支持农民。预期这项研究的结果将对孟加拉国和其他类似国家的政策制定者，农民和加工者有益。