Agri Food Trade Trends In Papua New Guinea Reflections On Covid 19 Policies And Dietary Change

The onset of the COVID-19 pandemic has presented a unique challenge to governments across the globe, reinforcing the need to improve understanding of domestic and international trade trends to provide more informed options for policy response. Papua New Guinea’s growing international trade in food and other agricultural products will continue to be important to overall food security outcomes among rural and urban households in the country. Rural households that produce key export cash-crops, such as coffee, cocoa, or palm oil, depend on the cash economy to supplement their food consumption, while urban households depend on rice and other agri-food imports, as well as domestic goods, for consumption. This project note focuses on trends in agrifood imports and exports during the last two decades to better evaluate potential changes in import demand and export potential for PNG. In doing so, it informs an upcoming economy-wide multi-market model analysis that will evaluate a variety of potential shocks to PNG’s agri-food system on household welfare in order to identify policies to manage potential food security threats. The COVID-19 pandemic is one of many diverse shocks that may adversely affect the economy of PNG over the next decade. The expansion of a portfolio of organized databases, analytical tools, and policy resources, such as the multimarket model, is warranted to facilitate real-time policy analyses to inform key development investments and initiatives.

The onset of the COVID-19 pandemic has presented a unique challenge to governments across the globe, reinforcing the need to improve understanding of domestic and international trade trends to provide more informed options for policy response. During the last several months, IFPRI has been analyzing a variety of Papua New Guinea (PNG) national and global datasets with the goal of expanding analytical tools to evaluate potential production shortfalls and food price shocks, and their associated impacts on household food security and livelihoods. This research note focuses on agri-food import and export trends during the last two decades to better evaluate potential changes in related import demand and export potential in PNG. In doing so, this research note informs an upcoming economy-wide multi market model analysis that will model a variety of potential shocks to household welfare to identify policies to manage potential ensuing food security threats. PNG’s growth in international agri-food trade (both export and import) will continue to be important to overall food security outcomes among rural and urban households. Rural households that produce key export cash-crops (e.g., coffee, cocoa, palm oil) depend on the cash economy to supplement overall food consumption, while urban households depend on rice and other agri-food imports (as well as domestic goods) for consumption. Agri-food imports are also contributing to important increases in the availability of protein-dense foods, with the value of poultry imports growing, on average, 30 percent per capita per year from 2001 – 2016. Although PNG’s agri-food import data suggest a greater demand for higher value food items such as animal-sourced foods, the total import value of ultra-processed foods, such as sugary drinks, are also increasing rapidly within PNG. The profitability and growth of agricultural exports and imports are driven by several factors, including levels of public investment in infrastructure, weather and climate shocks, security and political stability, and conditions in the world market. Government economic policies, including exchange rate, trade and price policies, also heavily influence agricultural trade. Policy to promote and facilitate domestic movement of goods, as well as macro-economic policies that influence the relative price of tradable to non-tradable goods (the real exchange rate) should be managed appropriately to support and incentivize greater agri-food production and trade. These policies could also be paired with an expanded set of education programs that integrate nutrition-sensitive information to address current increases in demand and consumption of high-saturated and sugary processed goods, of which total import values are rapidly increasing in PNG. Finally, a greater portfolio of organized databases, analytical tools and policy resources are warranted to facilitate real-time policy analysis that can inform key development investments and initiatives.

Understanding how the Papua New Guinea (PNG) agricultural economy and associated household consumption is affected by climate, market and other shocks requires attention to linkages and substitution effects across various products and the markets in which they are traded. In this study, we use a multi-market simulation model of the PNG food economy that explicitly includes production, consumption, external trade and prices of key agricultural commodities to quantify the likely impacts of a set of potential shocks on household welfare and food security in PNG. In this study, we use a multi-market simulation model of the PNG food economy that explicitly includes production, consumption, external trade and prices of key agricultural commodities to quantify the likely impacts of a set of potential shocks on household welfare and food security in PNG. We have built the model to be flexible in order to explore different potential scenarios and then identify where and how households are most affected by an unexpected shock. The model is designed using region and country-level data sources that inform the structure of the PNG food economy, allowing for a data-driven evaluation of potential impacts on agricultural production, food prices, and food consumption. Thus, as PNG confronts different unexpected challenges within its agricultural economy, the model presented in this paper can be adapted to evaluate the potential impact and necessary response by geographic region of an unexpected economic shock on the food economy of the country. We present ten simulations modeling the effects of various shocks on PNG’s economy. The first group of scenarios consider the effects of shocks to production of specific agricultural commodities including: 1) a decrease on maize and sorghum output due to Fall Armyworm; 2) reduction in pig production due to a potential outbreak of African Swine Fever; 3) decline in sweet potato production similar to the 2015/16 El Niño Southern Oscillation (ENSO) climate shock; and 4) a decline in poultry production due to COVID-19 restrictions on domestic mobility and trade. A synopsis of this report, which focuses on the COVID-19 related shocks on the PNG economy is also available online (Diao et al., 2020).1 The second group of simulations focus on COVID-19-related changes in international prices, increased marketing costs in international and domestic trade, and reductions in urban incomes. We simulate a 1) 30 percent increase in the price of imported rice, 2) a 30 percent decrease in world prices for major PNG agricultural exports, 3) higher trade transaction costs due to restrictions on the movement of people (traders) and goods given social distancing measures of COVID-19, and 4) potential economic recession causing urban household income to fall by 10 percent. Finally, the last simulation considers the combined effect of all COVID-19 related shocks combining the above scenarios into a single simulation. A key result of the analysis is that urban households, especially the urban poor, are particularly vulnerable to shocks related to the Covid-19 pandemic. Lower economic activity in urban areas (assumed to reduce urban non-agricultural incomes by 10 percent), increases in marketing costs due to domestic trade disruptions, and 30 percent higher imported rice prices combine to lower urban incomes by almost 15 percent for both poor and non-poor urban households. Urban poor households, however, suffer the largest drop in calorie consumption - 19.8 percent, compared to a 15.8 percent decline for urban non-poor households. Rural households are much less affected by the Covid-19 related shocks modeled in these simulations. Rural household incomes, affected mainly by reduced urban demand and market disruptions, fall by only about four percent. Nonetheless, calorie consumption for the rural poor and non-poor falls by 5.5 and 4.2 percent, respectively.

Developments in the agricultural economy of Papua New Guinea have major impacts on household food consumption decisions. A household’s ability to produce and sell food is affected by climate and associated agricultural potential, market opportunities (domestic, import and export) and unexpected shocks. Each of these factors affects the overall food system, thereby influencing production and consumption of all food products and the markets in which they are traded. The COVID-19 pandemic has presented a challenge far more complex than an agricultural production shock, such as those due to El Niño or pests. Rather than directly affecting agricultural output and rural household welfare, the COVID-19 pandemic has affected economies across the globe via trade disruptions (logistic challenges; international trade barriers), social distancing policies (domestic food market and nonessential business closures), and transportation restrictions (road closures; air travel cancellations). The measures aimed to curb the spread of COVID-19 have affected household incomes via urban job losses, reduced market interaction, and dramatic changes in world food prices. While rice prices have increased, luxury food prices, such as for chocolate (i.e. cocoa), have decreased. PNG’s unique and highly varied biophysical landscape has shaped agricultural production patterns, outcomes, and livelihoods for centuries. Understanding how the PNG agrifood economy and resulting household consumption is affected by COVID-19 therefore requires attention to linkages and substitution effects across various products and the markets in which they are traded.

In response to the COVID-19 crisis, some governments have implemented export restrictions and other trade policy measures to secure their food supply. This behavior can increase global food prices, with consequences including the exacerbation of hunger and income losses for producers in export-restrict-ing countries. Intergovernmental organizations and other actors need current information on food trade policy to curb detrimental reactive policy and enable cooperation. To address this need, we provide the COVID-19 Food Trade Policy Tracker. Gathering data from sources including the media, national gov-ernments, expert input, the OECD, and the IMF, we provide up-to-date information on food trade poli-cies implemented during the COVID-19 crisis and the likely magnitude of their effects.

The Agricultural Outlook 2021-2030 is a collaborative effort of the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. It brings together the commodity, policy and country expertise of both organisations as well as input from collaborating member countries to provide an annual assessment of the prospects for the coming decade of national, regional and global agricultural commodity markets. The publication consists of 11 Chapters; Chapter 1 covers agricultural and food markets; Chapter 2 provides regional outlooks and the remaining chapters are dedicated to individual commodities.

The coronavirus pandemic has sparked not only a health crisis but also an economic crisis, which together pose a serious threat to food security, particularly in poorer countries. COVID-19 & Global Food Security brings together a groundbreaking series of IFPRI blog posts looking at the impacts of COVID-19 and the policy responses. IFPRI researchers and guest bloggers provide key insights and analysis on how the global pandemic is affecting global poverty and food security and nutrition, food trade and supply chains, gender, employment, and a variety of policy interventions, as well as reflections on how we can use these lessons to better prepare for future pandemics. These pieces draw on a combination of conceptual arguments, global and country-level simulation models, in-country surveys, case studies, and expert opinions. Together, they present a comprehensive picture of the current and potential impact of COVID-19 and the world’s policy responses on global food and nutrition security.

The coronavirus pandemic has upended local, national, and global food systems, and put the Sustainable Development Goals further out of reach. But lessons from the world’s response to the pandemic can help address future shocks and contribute to food system change. In the 2021 Global Food Policy Report, IFPRI researchers and other food policy experts explore the impacts of the pandemic and government policy responses, particularly for the poor and disadvantaged, and consider what this means for transforming our food systems to be healthy, resilient, efficient, sustainable, and inclusive. Chapters in the report look at balancing health and economic policies, promoting healthy diets and nutrition, strengthening social protection policies and inclusion, integrating natural resource protection into food sector policies, and enhancing the contribution of the private sector. Regional sections look at the diverse experiences around the world, and a special section on finance looks at innovative ways of funding food system transformation. Critical questions addressed include: - Who felt the greatest impact from falling incomes and food system disruptions caused by the pandemic? - How can countries find an effective balance among health, economic, and social policies in the face of crisis? - How did lockdowns affect diet quality and quantity in rural and urban areas? - Do national social protection systems such as cash transfers have the capacity to protect poor and vulnerable groups in a global crisis? - Can better integration of agricultural and ecosystem polices help prevent the next pandemic? - How did companies accelerate ongoing trends in digitalization and integration to keep food supply chains moving? - What different challenges did the pandemic spark in Asia, Africa, and Latin America and how did these regions respond?