Publication: Who Is Coming from Vanuatu to New Zealand under the New Recognized Seasonal Employer Program?
Loading...
Date
2008-08
ISSN
Published
2008-08
Author(s)
Editor(s)
Abstract
New Zealand's new Recognized Seasonal Employer program allows workers from the Pacific Islands to come to New Zealand for up to seven months to work in the horticulture and viticulture industries. One of the explicit objectives of the program is to encourage economic development in the Pacific. This paper reports the results of a baseline survey taken in Vanuatu, which the authors use to examine who wants to participate in the program, and who is selected among those interested. The findings show that the main participants are males in their late 20s to early 40s, and most are married and have children. Most workers are subsistence farmers in Vanuatu and have not completed more than 10 years of schooling. Such workers would be unlikely to be accepted under existing migration channels. Nevertheless, the program workers from Vanuatu tend to come from wealthier households, and have better English literacy and health than individuals not applying for the program. Lack of knowledge about the policy and the costs of applying appear to be the main barriers preventing poorer individuals applying.
Link to Data Set
Citation
“Garcia Martinez, Pilar; McKenzie, David; Winters, L. Alan. 2008. Who Is Coming from Vanuatu to New Zealand under the New Recognized Seasonal Employer Program?. Policy Research Working Paper No. 4699. © World Bank. http://hdl.handle.net/10986/6787 License: CC BY 3.0 IGO.”
Associated URLs
Associated content
Other publications in this report series
Publication Dynamic, High-Resolution Wealth Measurement in Data-Scarce Environments(Washington, DC: World Bank, 2025-02-06)Accurate and comprehensive measurement of household livelihoods is critical for monitoring progress toward poverty alleviation and targeting social assistance programs for those who most need it. However, the high cost of traditional data collection has historically made comprehensive measurement a difficult task. This paper evaluates alternative satellite-based deep learning approaches using detailed household census extracts from four African countries to accelerate progress toward comprehensive, fine-scale, and dynamic measurement of asset wealth at scale. The results indicate that transformer architectures solve multiple open measurement problems, by providing the most accurate measurement of local-level variation in household asset wealth across countries and cities, as well as changes in household asset wealth over time. Experiments that artificially restrict data availability show the model’s ability to achieve high performance with limited data. The proposed approach demonstrates the promise of combining satellite imagery, publicly available geo-features, and new deep learning architectures for hyperlocal and dynamic measurement of wealth in data-scarce environments.Publication Firm-Level Climate Change Adaptation(Washington, DC: World Bank, 2025-03-10)Are firms adapting to climate change? This paper studies this question by combining geocoded World Bank Enterprise Survey data with spatially granular weather data to estimate temperature response functions for nearly 160,000 firms in 134 countries over a 15-year period. Our results show that market imperfections in low- and middle-income countries constrain firms’ ability to adapt. Small and medium-size firms in low- and low-middle income countries are most vulnerable, with revenues declining by 12 percent in years with temperatures 0.5◦C above historical averages. The impact is equally strong for manufacturing and services firms and result from declines in labor productivity and wages. Heat-sensitive sectors and less resilient firms are more severely affected, reinforcing the causal interpretation. Unique firm-level information on policy constraints including limited financing, burdensome regulations, and unsafe conditions suggest that such factors raise adaptation costs, undermining economic resilience to climate change.Publication Beyond the AI Divide(Washington, DC: World Bank, 2025-02-24)This paper examines global disparities in artificial intelligence preparedness, using the 2023 Artificial Intelligence Preparedness Index developed by the International Monetary Fund alongside the multidimensional Economic Complexity Index. The proposed methodology identifies both global and local overperformers by comparing actual artificial intelligence readiness scores to predictions based on economic complexity, offering a comprehensive assessment of national artificial intelligence capabilities. The findings highlight the varying significance of regulation and ethics frameworks, digital infrastructure, as well as human capital and labor market development in driving artificial intelligence overperformance across different income levels. Through case studies, including Singapore, Northern Europe, Malaysia, Kazakhstan, Ghana, Rwanda, and emerging demographic giants like China and India, the analysis illustrates how even resource-constrained nations can achieve substantial artificial intelligence advancements through strategic investments and coherent policies. The study underscores the need for offering actionable insights to foster peer learning and knowledge-sharing among countries. It concludes with recommendations for improving artificial intelligence preparedness metrics and calls for future research to incorporate cognitive and cultural dimensions into readiness frameworks.Publication Indigenous peoples, land and conflict in Mindanao, Philippines(Washington, DC: World Bank, 2024-02-12)This article explores the links between conflict, land and indigenous peoples in several regions of Mindano, the Philippines, notorious for their levels of poverty and conflict. The analysis takes advantage of the unprecedented concurrence of data from the most recent, 2020, census; an independent conflict data monitor for Mindanao; and administrative sources on ancestral land titling for indigenous peoples in the Philippines. While evidence elsewhere compellingly links land titling with conflict reduction, a more nuanced story emerges in the Philippines. Conflicts, including land- and resource-related conflicts, are generally less likely in districts (barangays) with higher shares of indigenous peoples. Ancestral domain areas also have a lower likelihood for general conflict but a higher likelihood for land-related conflict. Ancestral domains titling does not automatically solve land-related conflicts. When administrative delays take place (from cumbersome bureaucratic processes, insufficient resources and weak institutional capacity), titling processes may lead to sustained, rather than decreased, conflict.Publication Who on Earth Is Using Generative AI ?(Washington, DC: World Bank, 2024-08-22)Leveraging unconventional data, including website traffic data and Google Trends, this paper unveils the real-time usage patterns of generative artificial intelligence tools by individuals across countries. The paper also examines country-level factors driving the uptake and early impacts of generative artificial intelligence on online activities. As of March 2024, the top 40 generative artificial intelligence tools attract nearly 3 billion visits per month from hundreds of millions of users. ChatGPT alone commanded 82.5 percent of the traffic, yet reaching only one-eightieth of Google’s monthly visits. Generative artificial intelligence users skew young, highly educated, and male, particularly for video generation tools, with usage patterns strongly indicating productivity-related activities. Generative artificial intelligence has achieved unprecedentedly rapid global diffusion, reaching almost all economies worldwide within 16 months of ChatGPT’s release. Middle-income economies have disproportionately high adoption of generative artificial intelligence relative to their economic scale, now contribute more than 50 percent of global traffic, while low-income economies contribute less than 1 percent. Regression analysis reveals that income level, share of youth population, digital infrastructure, specialization in high-skill tradable services, English proficiency, and human capital are strongly correlated with higher uptake of generative artificial intelligence. The paper also documents disruptions in online traffic patterns and emphasizes the need for targeted investments in digital infrastructure and skills development to harness the full potential of artificial intelligence.
Journal
Journal Volume
Journal Issue
Citations
Collections
Related items
Showing items related by metadata.
Publication How Pro-Poor Is the Selection of Seasonal Migrant Workers from Tonga under New Zealand's Recognized Seasonal Employer Program?(World Bank, Washington, DC, 2008-08)Temporary migration programs for unskilled workers are increasingly being proposed as a way to both relieve labor shortages in developed countries and aid development in sending countries without entailing many of the costs associated with permanent migration. New Zealand's new Recognized Seasonal Employer program is designed to enable unskilled workers from the Pacific Islands to work in horticulture and viticulture in New Zealand for a period of up to seven months. However, the development impact on a sending country will depend not only on how many workers participate, but also on who participates. This paper uses new survey data from Tonga to examine the process of selecting workers for the Recognized Seasonal Employer program, and to analyze how pro-poor the recruitment process has been to date. The findings show that recruited workers come from largely agricultural backgrounds, and have lower average incomes and schooling levels than Tongans not participating in the program. Comparing the characteristics of program workers with those of Tongans applying to permanently migrate to New Zealand through the Pacific Access Category, the program workers are more rural and less educated. The program therefore seems to have succeeded in creating new opportunities for relatively poor and unskilled Tongans to work in New Zealand.Publication Development through Seasonal Worker Programs : The Case of New Zealand's RSE Program(World Bank, Washington, DC, 2014-01)Seasonal worker programs are increasingly seen as offering the potential to be part of international development policy. New Zealand's Recognised Seasonal Employer program is one of the first and most prominent of programs designed with this perspective. This paper provides a detailed examination of this policy through the first six seasons. This includes the important role of policy facilitation measures taken by governments and aid agencies. The evolution of the program in terms of worker numbers is discussed, along with new data on the (high) degree of circularity in worker movements, and new data on (very low) worker overstay rates. There appears to have been little displacement of New Zealand workers, and new data show Recognised Seasonal Employer workers to be more productive than local labor and that workers appear to gain productivity as they return for subsequent seasons. The program has also benefitted the migrants participating in the program, with increases in per capita incomes, expenditure, savings, and subjective well-being. Taken together, this evidence suggests that the program is largely living up to its promise of a "triple win" for migrants, their sending countries in the Pacific, and New Zealand.Publication Vulnerability and Safety Nets in Lao PDR(World Bank, Washington, DC, 2009-12)Lao PDR has experienced high levels of economic growth in recent years and the incidence of poverty has fallen dramatically since the 1990s. Yet, this report shows that Lao households continue to be highly vulnerable to regular seasonal fluctuations, as well as agricultural shocks and natural disasters. The report also highlights the importance of health shocks, injury and death for household welfare. Households adopt a variety of strategies to cope with these shocks, but in many cases are unable to fully smooth consumption, with negative short and long term consequences. Overall, the report points to a number of important vulnerable groups. The chronic poor in remote rural areas, including ethnic minority groups, remain highly vulnerable to seasonal fluctuations and natural disasters. However, households in urban areas, particularly the poor and near-poor, are vulnerable to future increases in food prices if they are not accompanied by increases in real wages. Moreover, as the Lao economy develops, more households will rely on off-farm work or migrant remittances, making them increasingly vulnerable to domestic and global macro-shocks. Finally, particular groups, including children, women, the disabled and the elderly are likely to be particularly badly affected by these shocks. The report goes on to discuss the potential value of social safety nets. Safety nets can reduce poverty and alleviate suffering for households who are unable to fully smooth their consumption after a shock. But effective safety nets don't just contribute to reducing poverty in the short term; they can also prevent long term poverty traps from arising (e.g. due to households being forced to sell productive assets, withdraw children from school, or reduce consumption below nutritionally adequate levels), and enable households to pursue riskier but more productive livelihood strategies. The report reveals important gaps in current policies and programs and suggests some potential directions towards implementing a comprehensive and institutionalized safety net program in Lao PDR. This will require substantial investments, not only to finance the actual programs, but also to develop the required capacity and knowledge at both local and central levels. While there are no easy solutions, reaching consensus on priorities and policy options for addressing vulnerability in Laos is essential if recent progress in poverty reduction and economic growth is to be sustained and deepened.Publication Mongolia : Gender Disparities in Labor Markets and Policy Suggestions(World Bank, Washington, DC, 2013-01)Mongolia has made strong progress on key gender-related Millennium Development Goals (MDGs) in recent years. Gender indicators in education and health are also better in many respects than in comparator countries in the East Asia and Pacific region. Women have a limited presence in higher level managerial positions and in entrepreneurial work, and working women also have to shoulder most of the household and care duties compared to men. These inequalities can have large impacts on development, growth and productivity as well as pervasive intergenerational social costs. Removing impediments to full and equal participation for women in the economy, providing equal access to economic resources and opportunities and eliminating discrimination can boost productivity and competitiveness for firms with wider benefits for the economy and within the household. A range of potential policy actions can be considered, including improving employment outcomes (wages, career progression) for women in the public sector, introducing more friendly parental leave policies that cover both fathers and mothers, improving child care services and introducing affirmative action policies in sectors where women are acutely under-represented such as mining. In addition, business regulations can be streamlined to make it easier to start and operate businesses for both men and women. Other policies that may be helpful include promoting awareness of and encouraging the development of (appropriately regulated and supervised) micro-lending institutions.Publication Republic of Lebanon--Good Jobs Needed : The Role of Macro, Investment, Education, Labor and Social Protection Policies(Washington, DC, 2012-12)This report develops a strategy to support employment creation in Lebanon and improve labor market opportunities for its work force. The analysis is based on a new survey of the labor force and employers, and a General Equilibrium Model of the Lebanese economy, both developed in the context of this Technical Cooperation Program. The policy recommendations are the result of consultations with counterparts and different stakeholders. The report is organized in six chapters. Chapter 1 summarizes the main findings of the analysis and policy recommendations. Chapter 2 analyzes the main characteristics of the Lebanese labor market and identifies key issues that require attention. Chapter 3 focuses on ways to improve macroeconomic conditions and investment opportunities in order to enhance growth potential and promote the creation of high quality jobs. Chapter 4 discusses how current initiatives regarding active labor market programs (ALMPs) could be transformed into an integrated system of employment and training services that would be managed and monitored by the public employment agency (the National Employment Office) but implemented by private providers that would help individuals access jobs - whether wage or self-employment. Chapter 5 deals with the labor market distortions created by social insurance and regulations on types of contracts, dismissal procedures, and minimum wages. Finally, Chapter 6 analyses the potential impacts on labor market outcomes of alternative macroeconomic and social insurance policies based on the general equilibrium model.
Users also downloaded
Showing related downloaded files
No results found.