Chapter 10 Strategic Decision in Long and Short Run for Cross-Country Commodity Market in the Post-COVID 19 Era Arya Kumar 1 Introduction Trading between the cross countries is the only tool to boost up the economy number. A minor agreement with a developed country can set up in positioning the world trading and uplifting the domestic economy. However, the developed country, i.e., the United States recently refused India for duty-free trading in the US market till India unwraps exporting of the agricultural products in US markets. India is still considered as an agrarian country whose economy is developed only due to the demand for agro products worldwide, and US agri-business always keeps eye on developing its agricultural sector which is a non-starter for India. Unlike India, China’s economists experienced that the FDI mainly for the manu- facturing sector will not boost up the economy in the long run. FDI is a means for exchanging technology, and US companies are highly advanced in locating its busi- ness units in developing countries that will make the US rich but not China. So instead of reinventing new technology at a cheaper price, it is better to enter a demanding area globally, i.e., agri-business. As the world economy has stopped breathing and every sector has crashed down due to the pandemic issue Covid-19, it is observed that the food supply locally and globally has to fail down. As there is a strict restriction in the movement of goods and people within and outside the nation this brings to scarcity of foods and other amenities. The supreme commodities like fruits and vegetables have reduced their weightage in production and export due to the restriction of the value chain. Despite uncertainties due to Covid-19, Food and Agriculture Organization forecasted a comfortable rise of demand for cereals for the year 2020/21. A. Kumar (B ) Faculty of MBA, College of IT and Management Education, Biju Patnaik University of Technology, Bhubaneswar, India e-mail: arya4134@gmail.com © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 P. K. Khosla et al. (eds.), Predictive and Preventive Measures for Covid-19 Pandemic, Algorithms for Intelligent Systems, https://doi.org/10.1007/978-981-33-4236-1_10 167