Papua New Guinea continues to encourage a policy focus on food and nutrition security. The PNG National Nutrition Policy (2016-2026) and Nutrition Strategic Action Plan (2018-2022) (NSAP) set a path to improve coordination, secure sufficient funding, and improve technical capacity of nutrition-focused pro gram implementation. As policy prioritizes improved nutrition outcomes, it is important to understand the cost that households face of securing a higher level of nutrition. Ensuring a healthy diet that meets nutrition standards is relatively expensive in PNG. The analysis presented in this paper, which uses detailed household food and non-food consumption data suggests that 4/5 of households in the survey sample live below the healthy diet poverty line (which sets a calorie threshold and defines healthy diet nutrition targets). That is, these households do not have the income available (or do not consume sufficient food and non-food goods) to meet their basic needs which includes securing a nutritious diet that meets food based die tary guidelines.

Papua New Guinea continues to encourage a policy focus on food and nutrition security. The PNG National Nutrition Policy (2016-2026) and Nutrition Strategic Action Plan (2018-2022) (NSAP) set a path to improve coordination, secure sufficient funding, and improve technical capacity of nutrition-focused pro gram implementation. As policy prioritizes improved nutrition outcomes, it is important to understand the cost that households face of securing a higher level of nutrition. Ensuring a healthy diet that meets nutrition standards is relatively expensive in PNG. The analysis presented in this paper, which uses detailed household food and non-food consumption data suggests that 4/5 of households in the survey sample live below the healthy diet poverty line (which sets a calorie threshold and defines healthy diet nutrition targets). That is, these households do not have the income available (or do not consume sufficient food and non-food goods) to meet their basic needs which includes securing a nutritious diet that meets food based dietary guidelines.

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.

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.

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.

Papua New Guinea (PNG) is the country with the largest rural population share in the East Asia and Pacific region. In addition, PNG is affected by El Niño Southern Oscillation (ENSO) climatic events that in severe years cause significant food insecurity due to failed agricultural production. Shrinking land holdings for agricultural production due to the growing population together with climate risk motivates many rural households to explore off-farm income generating opportunities. The analysis reported on here evaluates the importance of nonfarm employment in rural areas in PNG in diversifying risk to household welfare (associated with weather shocks, crop pests and diseases, agricultural price fluctuations, etc.), in smoothing seasonal income fluctuations, and in absorbing excess labor in households with limited agricultural resources. Our study draws upon a wide-ranging literature focused on the role of nonfarm enterprises in the livelihood strategies of rural households globally, e.g., de Janvry and Sadoulet 2001; Lanjouw and Lanjouw 2001; Jayne et al. 2003; Barrett et al. 2005; Haggblade et al. 2007; Lay et al. 2008. We use data collected from rural households in PNG between May and July 2018 by the International Food Policy Research Institute (IFPRI). The survey was administered to 1,026 households in 70 communities across specific districts in East Sepik, Madang, and West Sepik provinces and in the Autonomous Region of Bougainville. Respondent households were asked detailed questions about any nonfarm enterprises (NFE) in which they were involved, including questions on ownership, labor characteristics, and income generation. We explore how engaging in an NFE affects household welfare. In doing so, we evaluate two questions: 1) What barriers to entry exist for male- versus female-owned NFEs? 2) Do the welfare effects of NFE ownership differ by the sex of the owner? Overall, we find that households with an NFE have significantly higher annual per capita consumption compared to matched households without an NFE, amounting to an average increase in the value of annual household consumption of 180 kina (PGK) per capita. In addition, households with an NFE consume approximately 9.5 grams more protein per person per day and achieve greater diversity in their diets compared to households without an NFE. We find that the positive effects of NFE ownership on welfare outcomes are largely driven by male-owned and jointly-owned (male and female) NFEs. The welfare outcomes attributable to female-owned NFEs are much smaller.

Between May and July 2018, the International Food Policy Research Institute (IFPRI) implemented a household-level survey in four areas of PNG: the Autonomous Region of Bougainville (South Bougainville near Buin), Madang (Middle Ramu near Kwanga Station), East Sepik (near Maprik) and West Sepik (near Nuku). The survey investigated the food systems of rural households and how they assure sufficient food to meet the nutritional needs of their household members. The household questionnaire for the survey focused on agricultural production systems and health outcomes and included modules on: production; consumption and expenditure; labor activities (farm and non-farm); nutritional status; and the experience of the survey households with recent agricultural production or other shocks that impacted their livelihoods. This report provides descriptive results from the survey and discusses key indicators and actions to improve agricultural systems and nutrition in PNG.