Publication: A Little Engine that Could : Domestic Private Companies and Vietnam’s Pressing Need for Wage Employment
Loading...
Date
2002-08
ISSN
Published
2002-08
Author(s)
Editor(s)
Abstract
Vietnam's young private sector is growing fast. Crucial to this growth has been a policy environment that increasingly recognizes the importance of private entrepreneurship-particularly its potential to help address the country¹s pressing need for significantly increased wage employment creation. Expanding the benefits of private sector growth beyond urban centers out into the rural areas where most Vietnamese live-and where poverty and underemployment are heaviest-will require significantly increased information flows on what is working and what is not. This paper presents an objective picture of Vietnam's emerging private sector, two years after initial implementation of the country's much praised Enterprise Law. The country's private companies are significantly better off than they were just a couple years earlier, when regional economic recession and stagnation on domestic policy reforms had brought development of the formal private sector to a near standstill. At the same time, the sector's small base means that its impressive rates of job creation still fall far short of matching the booming growth of the overall work force. Information for this paper is based on data collected from Vietnam's General Office of Statistics, a small number of individual company case studies, and a national firm-level survey designed and implemented by the authors. Research for the paper revealed significant gaps in available private sector data and flaws in current data gathering methodologies-calling into question the ability of policy makers and advisors to understand rapid, ongoing economic developments and make appropriate and timely policy decisions. The authors hope that this paper can serve as a starting point and an impetus for more targeted research aimed at identifying and addressing specific obstacles to sustainable and broad based job and wealth creation.
Link to Data Set
Citation
“Steer, Liesbet; Taussig, Markus. 2002. A Little Engine that Could : Domestic Private Companies and Vietnam’s Pressing Need for Wage Employment. Policy Research Working Paper;No. 2873. © http://hdl.handle.net/10986/19259 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 Argentina - Small and Medium-Sized Enterprises in Argentina : A Potential Engine for Economic Growth and Employment(Washington, DC, 2002-08)The convertibility law, and economic liberalization in the early 1990s in Argentina, brought about dramatic changes in economic performance. To adjust to increasing globalization, and a series of external shocks, small and medium size enterprises (SMEs) were confronted with the task of developing business strategies to secure their niches in the new arena. However, such strategies were obstructed by constraints in the legal, and economic framework, weak information and technology aspects, and insufficient access to finance. The report builds on the following issues: 1) the critical aspect of the SME sector to the Argentine economy, both from a growth/efficiency, and equity standpoint; yet on average, SMEs have failed to attain their potential; 2) the highly heterogeneous configuration, particular organizational, and technological characteristics of SMEs; 3) the high degree of institutional rigidity of the country's business environment; 4) the need to develop policy actions to deepen financial markets for SMEs; 5) the significant knowledge constraints - by and large, no training nor technical assistance services are available, mainly because of high costs; 6) the striking multiplicity of SME programs, yet with uncertain impact; and, 7) the need to overhaul SME policies, and programs to prod more incentive- and demand-driven approaches. Elements for effective SMEs assistance programs include the development of a standard set of metrics to measure performance of SMEs, and, entrepreneurial management, deemed of critical importance. As well, cost recovery growth should be targeted, extensively using follow-up techniques, and leveraging their effectiveness through the use of information, and communications technology. Most importantly, the policy challenge lies in taking initiatives to develop institutions at the national, and local levels, to encourage transition from inward-looking firms, narrow search routines, and information-poor markets, to learning-oriented firms, and mature, information-rich markets.Publication Competitive Small and Medium Enterprises : A Diagnostic to Help Design Smart SME Policy(World Bank, Washington, DC, 2013-05)Small and medium-sized enterprises (SMEs) account for a lion's share of the enterprises in most economies and are also thought to be an engine of new growth and innovation. The focus of this paper is to take the insights on SME mix and segments to practical implications for developing countries around the world. The paper attempts to do this by providing a diagnostic approach that client countries and regions can use to assess their SME sectors and tease out firms' contribution to the local economy. Guidelines and specific examples of policies based on the insights in the paper have been provided. Lastly, the paper includes some areas of future research that are required on the subject. This paper proceeds in three steps. The first is to better understand the economic contribution of SMEs. This analysis complements the existing policy focus and takes it further to direct attention to a more specific set of growth drivers to enable the firms that matter disproportionately, the competitive SMEs, while remaining inclusive and avoiding market distortion. The second step is to develop a perspective on how best to complement the policy focus on competitive SMEs with that on larger firms. Policy-makers need to structure policy appropriately to develop a healthy eco-system of firms. The third step is to make this analysis actionable by policy-makers. This paper provides an initial SME policy diagnostic. A better understanding of how to encourage SME growth has the potential to make a substantial contribution to national economic performance.Publication Transforming East African ICT Sector by Creating a Business Engine for SMEs(World Bank, Washington, DC, 2011)For the purposes of this project, the East African countries included in the study were Kenya, Rwanda, Tanzania, and Uganda. The focus for this project was Small and Medium-sized Enterprises (SMEs) as for-profit or nonprofit organizations with less than 50 employees and not exceeding USD 1,000,000 in annual revenues/turnover. The main output of this project was a proposed program of interventions to drive transformational change. To succeed in this ambitious endeavor, the project articulated clear objectives and designed a blueprint for implementation including levels of resourcing, budget and monitoring metrics. Over the course of the project the team conducted brief surveys with over 90 entrepreneurs, over 50 percent of who had 3-10 years of experience in the Information and Communication Technology (ICT) sector and primarily worked at companies with 5 employees or less.Publication Learning from the Experiments That Never Happened : Lessons from Trying to Conduct Randomized Evaluations of Matching Grant Programs in Africa(World Bank, Washington, DC, 2012-12)Matching grants are one of the most common policy instruments used by developing country governments to try to foster technological upgrading, innovation, exports, use of business development services and other activities leading to firm growth. However, since they involve subsidizing firms, the risk is that they could crowd out private investment, subsidizing activities that firms were planning to undertake anyway, or lead to pure private gains, rather than generating the public gains that justify government intervention. As a result, rigorous evaluation of the effects of such programs is important. The authors attempted to implement randomized experiments to evaluate the impact of seven matching grant programs offered in six African countries, but in each case were unable to complete an experimental evaluation. One critique of randomized experiments is publication bias, whereby only those experiments with "interesting" results get published. The hope is to mitigate this bias by learning from the experiments that never happened. This paper describes the three main proximate reasons for lack of implementation: continued project delays, politicians not willing to allow random assignment, and low program take-up; and then delves into the underlying causes of these occurring. Political economy, overly stringent eligibility criteria that do not take account of where value-added may be highest, a lack of attention to detail in "last mile" issues, incentives facing project implementation staff, and the way impact evaluations are funded, and all help explain the failure of randomization. Lessons are drawn from these experiences for both the implementation and the possible evaluation of future projects.Publication Increasing Domestic Procurement by the Mining Sector in Central Asia(World Bank, Washington, DC, 2014-05)This study has focused on the third factor, specifically, the creation of local benefits through supplier linkages. The World Bank commissioned a pilot study to inform the nature and scale of potential support to the three Central Asian countries, with the goal of mining-related domestic procurement serving as an instrument to increase employment and industrialization. This document presents on the findings of the study, undertaken by Community Insights Group during the period May to July 2013. The report starts with an overview of current global trends with respect to domestic procurement by mining operations. Sections 3-5 describe the situation in Kazakhstan, Kyrgyzstan and Tajikistan with regard to company legal obligations and practices, and government programs and capacities to support domestic SMEs supplying the mining industry. The situation analysis is followed by a summary of case studies (Section 6) undertaken with mining operations to determine their current procurement needs, current local procurement efforts, and barriers to increasing procurement. The case studies also included the perspective of local suppliers and potential local suppliers. The report closes with a set of recommendations for World Bank consideration, to guide future interventions.
Users also downloaded
Showing related downloaded files
No results found.