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The impacts of production and price shocks on the coffee industry in PNG
Arua, Stanley; Gondo, Robert; Kinau, Adrian; Kotto, Aaron; Dorosh, Paul; Schmidt, Emily; Tian, Junyan. 2024
Arua, Stanley; Gondo, Robert; Kinau, Adrian; Kotto, Aaron; Dorosh, Paul; Schmidt, Emily; Tian, Junyan. 2024
Papua New Guinea rural household survey (2023): Synopsis of selected results
Schmidt, Emily; Schweta, Yadav. 2024
Schmidt, Emily; Schweta, Yadav. 2024
Abstract | Link
From May to December 2023, IFPRI implemented the 2023 PNG Rural Household Survey which was designed to understand rural livelihoods and welfare across different areas of PNG (Schmidt et al., 2024). Given the rural nature of the survey sample, almost all surveyed households depend on their own-farm production (predominantly starchy roots and tubers) to meet daily caloric needs. On average, households reported utilizing about 1.6 hectares of land for agriculture cultivation at the time of the survey. The survey collected a detailed account of the quantity of food types consumed by the household in order to estimate the average caloric intake per adult equivalent. Comparing the estimated caloric intake reported by surveyed households, with a recommended calorie intake suggests that only 45 per cent of individuals in surveyed households meet the recommended daily caloric intake for a lightly active individual. The survey also collected anthropometry data for children under five years of age and found that 36 percent of surveyed children were stunted in their growth. The 2023 Rural Household Survey represents an important effort in collecting a wide breadth of information about rural livelihoods. However, greater investments of in-depth data collection and analysis should be undertaken to examine specific components of PNG household livelihood strategies.
The agrifood system in PNG: Structure and drivers of transformation
Diao, Xinshen; Dorosh, Paul A.; Escalante, Luis Enrique; Pradesha, Angga; Junyan, Tian. 2024
Diao, Xinshen; Dorosh, Paul A.; Escalante, Luis Enrique; Pradesha, Angga; Junyan, Tian. 2024
Abstract | Link
Although the economy of Papua New Guinea is heavily influenced by the oil and natural gas sector, which accounts for 30 percent of GDP and most of the country’s foreign exchange earnings, small-scale agriculture continues to be the major source of livelihoods for most of the population. Much of the food crop production (particularly starchy staples such as sweet potatoes, cassava, yams and sago) is not traded internationally; however, oil palm, coffee and cocoa are major exports. A large share of agricultural production undergoes little value-added through processing and much of it is consumed by farm households themselves. Thus, there would appear to be substantial scope for increases in employment and incomes through further development of the broader agrifood system, including agroprocessing, trade and transport, and food services.
Constraints facing rural poultry production in PNG: The role of input suppliers
Fang, Peixun; Benny, Dickson; Ovah, Raywin; Roberts, Arthur; Schmidt, Emily; Solomon, Elly. Washington, DC 2023
Fang, Peixun; Benny, Dickson; Ovah, Raywin; Roberts, Arthur; Schmidt, Emily; Solomon, Elly. Washington, DC 2023
Abstract | PDF
Context: The average consumption of protein foods in Papua New Guinea (PNG) remains insufficient to meet nutritious diet guidelines, especially in rural areas. While an expanding literature has demonstrated that poultry is a cost-efficient animal source food to increase protein intake, rural households in PNG face high prices at the market for poultry meat. Similarly, the high price of poultry production inputs constrains greater uptake of rural poultry production. PNG’s heavy reliance on feed (and feed input) imports, as well as high transportation costs and insufficient rural manufacturing and processing infrastructure creates limited opportunities for rural subsistence and commercial poultry production growth.
Objective: There is a lack of value chain studies to understand the feasibility of expanding the local mini livestock feed mill model in PNG to increase poultry feed supply in underserved areas. This study builds from earlier work on rural livestock feed infrastructure programs, and aims to fill the knowledge gap on the opportunities and constraints for expanding domestic livestock feed production and distribution via rural mini feed mills.
Method: The International Food Policy Research Institute (IFPRI) and the National Agriculture Research Institute (NARI) conducted in-depth qualitative interviews with 8 mini mills and 13 poultry farmers across 4 highland provinces during October and November 2022. We synthesize the interview transcriptions of the qualitative interviews in tandem with quantitative analysis of food consumption and agri-food trade data, as well as the authors’ own field observations in this paper.
Results: The in-depth interviews showed that the poultry farmers who purchased from local mini feed mills substantially lowered their feed costs, resulting in greater gross profits compared to rural poultry farmers that only sourced feed from commercial feed suppliers. However, the mini feed mills that we interviewed outlined a series of challenges in sustaining rural feed mills in PNG. The main challenges of running a successful mill included feed mill equipment procurement, electricity reliability, reliable raw ingredient supply, mini mill retailing to secure a client base, and adequate information about feed formulation. We identified two potential approaches that have overcome many of the identified challenges, that could be replicated and adapted to expand mini feed mill operations in the Highlands. The first approach is a farmer cooperative model that incorporates credit and feed delivery services to cooperative farmers. In doing so, they are able to better estimate volume demand for processed feed and accommodate feed production accordingly. The second approach follows a lead firm model, whereby a local farm supply retail outlet is expanding its business to include livestock feed production and supply, overcoming equipment procurement constraints given their previously developed business model focused on farm implement supply. Our evaluation provides detailed costs and benefits of both approaches for potential expansion of these livestock feed producer and distributor models.
Objective: There is a lack of value chain studies to understand the feasibility of expanding the local mini livestock feed mill model in PNG to increase poultry feed supply in underserved areas. This study builds from earlier work on rural livestock feed infrastructure programs, and aims to fill the knowledge gap on the opportunities and constraints for expanding domestic livestock feed production and distribution via rural mini feed mills.
Method: The International Food Policy Research Institute (IFPRI) and the National Agriculture Research Institute (NARI) conducted in-depth qualitative interviews with 8 mini mills and 13 poultry farmers across 4 highland provinces during October and November 2022. We synthesize the interview transcriptions of the qualitative interviews in tandem with quantitative analysis of food consumption and agri-food trade data, as well as the authors’ own field observations in this paper.
Results: The in-depth interviews showed that the poultry farmers who purchased from local mini feed mills substantially lowered their feed costs, resulting in greater gross profits compared to rural poultry farmers that only sourced feed from commercial feed suppliers. However, the mini feed mills that we interviewed outlined a series of challenges in sustaining rural feed mills in PNG. The main challenges of running a successful mill included feed mill equipment procurement, electricity reliability, reliable raw ingredient supply, mini mill retailing to secure a client base, and adequate information about feed formulation. We identified two potential approaches that have overcome many of the identified challenges, that could be replicated and adapted to expand mini feed mill operations in the Highlands. The first approach is a farmer cooperative model that incorporates credit and feed delivery services to cooperative farmers. In doing so, they are able to better estimate volume demand for processed feed and accommodate feed production accordingly. The second approach follows a lead firm model, whereby a local farm supply retail outlet is expanding its business to include livestock feed production and supply, overcoming equipment procurement constraints given their previously developed business model focused on farm implement supply. Our evaluation provides detailed costs and benefits of both approaches for potential expansion of these livestock feed producer and distributor models.
Improving agricultural productivity in Papua New Guinea: Strategic and policy considerations
Benny, Dickson; Benson, Todd; Ivekolia, Mark; Kedir Jemal, Mekamu; Ovah, Raywin. Washington, DC 2022
Benny, Dickson; Benson, Todd; Ivekolia, Mark; Kedir Jemal, Mekamu; Ovah, Raywin. Washington, DC 2022
Abstract | PDF (1.4 MB)
If smallholder farming households in Papua New Guinea achieve higher crop productivity levels, progress will be made along several dimensions of the development vision for PNG – increasing GDP for the agricultural sector and the overall economy; driving growth, diversification, and transformation of local rural economies; improving food consumption; and reducing poverty. In this paper, we examine recent data on yields for the most important crops grown in PNG, assess what yields might be achieved based on productivity data from areas of Indonesia with similar growing conditions, and sketch where policy reforms could provide incentives and access to technologies to achieve higher crop yields by all farmers across PNG.
2019 Social Accounting Matrix for Papua New Guinea (PNG)
Pradesha, Angga; Dorosh, Paul A.. Washington, DC 2022
Pradesha, Angga; Dorosh, Paul A.. Washington, DC 2022
Abstract | PDF (411 KB)
The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. This addresses the need for greater transparency and consistency in SAM construction to strengthen model-based research and policy analysis in developing countries. Nexus SAMs allow for more robust cross-country comparisons of national economic structure, especially agriculture-food systems. The Nexus Project’s guiding principles are that all data should be traceable to original sources and/or assumptions, and that all SAMs should be freely available online. Greater transparency and accessibility should facilitate more data validation and participation of the modeling community. Statistics are continuously being revised and errors are often only identified when data is used for analysis, and so we welcome your suggestions on how the SAMs can be improved to reflect new and/or better information.
Implications of public investments and external shocks on agriculture, economic growth and poverty in Papua New Guinea: An economywide analysis
Dorosh, Paul A.; Pradesha, Angga. Washington, DC 2022
Dorosh, Paul A.; Pradesha, Angga. Washington, DC 2022
Abstract | PDF (344.7 KB)
Policymakers in Papua New Guinea face difficult choices as to how best to promote economic growth and reduce poverty in the context of vast differences in technology and infrastructure across the country. Fluctuations in world prices of petroleum, minerals, and export crops complicate the management of the economy because of their large impacts on export earnings and government revenues, as well as household welfare. Moreover, other shocks, such as the Covid-19 pandemic that shut down major parts of the economies of PNG and the rest of the world, have far-reaching effects on various economic sectors, as well as the health and welfare of the population.
This paper presents an analysis of investment options in the agricultural sector and the effects of major economic shocks to the PNG economy using an economy-wide computable general equilibrium (CGE) model that provides estimates of the economic linkages between production, household incomes, consumption, investment, and trade. The model’s base data, a Social Accounting Matrix (SAM) for 2019, and many of the parameters are derived from the national accounts, household surveys and other data for PNG. It is important to realize, however, that even though the SAM and model structure provide a framework that guarantees a consistency of many of the assumptions, there remain many uncertainties in the data. Thus, the results presented here should not be interpreted as exact estimates, but only approximations of potential effects of policies and external shocks.
The plan of this paper is as follows. Chapter 2 provides an overview of agriculture and economic growth in PNG over the last two decades, highlighting the declining share of agriculture in GDP despite positive agricultural GDP growth rates and changes in the real exchange rate that have major implications for incentives in the economy. Chapter 3 then presents a summary of the economy-wide model used in the analysis. Details of the model are found in the annexes and in the references included in the paper. Design of the model simulations and model results are discussed in Chapter 4. These simulations cover various investments in agriculture and transport infrastructure, increases in world prices of petroleum and natural gas, price increases for agricultural exports and hypothetical carbon credits tied to a reduction in exports of forestry products. Chapter 5 concludes with a summary of the main findings, policy implications and suggested areas for further work.
This paper presents an analysis of investment options in the agricultural sector and the effects of major economic shocks to the PNG economy using an economy-wide computable general equilibrium (CGE) model that provides estimates of the economic linkages between production, household incomes, consumption, investment, and trade. The model’s base data, a Social Accounting Matrix (SAM) for 2019, and many of the parameters are derived from the national accounts, household surveys and other data for PNG. It is important to realize, however, that even though the SAM and model structure provide a framework that guarantees a consistency of many of the assumptions, there remain many uncertainties in the data. Thus, the results presented here should not be interpreted as exact estimates, but only approximations of potential effects of policies and external shocks.
The plan of this paper is as follows. Chapter 2 provides an overview of agriculture and economic growth in PNG over the last two decades, highlighting the declining share of agriculture in GDP despite positive agricultural GDP growth rates and changes in the real exchange rate that have major implications for incentives in the economy. Chapter 3 then presents a summary of the economy-wide model used in the analysis. Details of the model are found in the annexes and in the references included in the paper. Design of the model simulations and model results are discussed in Chapter 4. These simulations cover various investments in agriculture and transport infrastructure, increases in world prices of petroleum and natural gas, price increases for agricultural exports and hypothetical carbon credits tied to a reduction in exports of forestry products. Chapter 5 concludes with a summary of the main findings, policy implications and suggested areas for further work.
Rural household welfare in Papua New Guinea: Food security and nutrition challenges
Schmidt, Emily; Fang, Peixun; Mahrt, Kristi. Washington, DC 2022
Schmidt, Emily; Fang, Peixun; Mahrt, Kristi. Washington, DC 2022
Abstract | PDF
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.
Improving agricultural value chain coordination and gender inclusiveness in PNG
Kosec, Katrina; Schmidt, Emily; Carrillo, Lucia; Fang, Peixun; Ivekolia, Mark; Ovah, Raywin. Washington, DC 2022
Kosec, Katrina; Schmidt, Emily; Carrillo, Lucia; Fang, Peixun; Ivekolia, Mark; Ovah, Raywin. Washington, DC 2022
Abstract | PDF (878.5 KB)
The welfare of Papua New Guinea’s (PNG’s) population depends on domestic agriculture productivity and stability. As of 2019, value-added from the agriculture, forestry, and fishing sectors totaled approximately 17 percent of GDP. However, when considering the downstream value chain activities directly related to the agriculture sector (e.g., agriculture processing, domestic food trade and transportation, and domestic food commodity sales), the larger agri-food system in PNG contributes over 25 percent to the country’s overall GDP (Pradesha and Dorosh, 2022). Maximizing efficiency throughout the entire agri-food value chain is critical to fostering greater economic growth and poverty reduction within the country. Growing a globally competitive agriculture sector also demands investments and capacity strengthening in mid-stream value chain operations such as product aggregation, transport logistics, packaging and processing, and handling. It is important that these investments also promote inclusive development that benefits both men and women value chain actors. Previous research suggests that where women are economically empowered and have access to decent jobs in lucrative nodes (i.e., activities) of value chains, households have higher incomes and are less likely to be poor (FAO, 2011). In PNG, despite women’s greater share of employment in agriculture (60 and 52 percent of women and men work in agriculture, respectively), women participate less in higher-value agricultural production and trade activities (Chang et al., 2016; Omot, Chambers, and Spriggs, 2013; World Bank, 2022).
Effects of COVID-19 and other shocks on Papua New Guinea’s food economy: A multi-market simulation analysis
Diao, Xinshen; Dorosh, Paul A.; Fang, Peixun; Schmidt, Emily. Washington, DC 2021
Diao, Xinshen; Dorosh, Paul A.; Fang, Peixun; Schmidt, Emily. Washington, DC 2021
Abstract | PDF (861.1 KB)
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.
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.
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