Convergence, the process by which poorer countries ‘catch-up’ to rich ones in terms of real incomes, is at the core of the promise of the European Union and the Eurozone. It was enshrined in the founding treaty of the EU and is at the center of policy-making today. However, after several decades of strong European growth, convergence across many core countries has come to a halt. Policymaking has focused on promoting greater integration between EU countries and in particular within the Eurozone to foster further convergence but the political gridlock has stopped these initiatives from moving forward.
Further economic and political integration is not necessary for, and may in fact be orthogonal to, greater convergence in the EU. EU countries have converged at roughly the same rate as non-EU countries since the 1950s, suggesting EU membership is not responsible for convergence. Further, there is no statistically significant difference in the rate of convergence between EA 12 or EA19 members before and after the introduction of the Euro. Finally, many current Eurozone members have converged in the last 10 years suggesting that the Euro structure does not impede convergence. Still, further integration may be desirable in the EU – not least to restore the union to its democratic ideals.
The only variable that is associated with greater convergence in European countries is value chain integration, particularly upstream integration. Upstream integration is domestic value added embodied in intermediate exports that are re-processed abroad. High upstream integration indicates strong participation in value chains and integration into regional production networks. The level of upstream integration varies tremendously within the EU, going from 10% of GDP in Spain to 28% of GDP in Estonia. Once we control for the level of upstream integration, the rate of converge in European countries goes from 1.25% to 4.5%.
High growth countries are deeply integrated in sub-regional supply chains within Europe. Europe is often thought of as a single supply chain but, in fact, there are several sub-regional supply chains within Europe. These sub-regional supply chains are based on strong bilateral ties between neighboring countries. Participation in one of these supply chains appears to matter more for growth than integration with any particular country (e.g. Germany) or to any specific region. Participation in these supply chains is independent of EU membership – it is due to historical ties and deliberate national policymaking.
The EU must put cross-country collaboration at the core Horizon Europe– its €100B mission driven innovation programme – to future-proof European supply chains and reintegrate lagging countries. Horizon Europe is the EU’s bet to become a global technology leader. Leading in technology involves not only innovation but also developing the supply chains of the future that allow innovation to be commercially successful. Horizon Europe will not succeed if innovation spending continues occur in national siloes as it did in the Horizon 2020 programme. The EU must pro-actively manage and integrate innovation efforts across the Union and ensure that commercialization occurs at the EU level. Only then can we hope to achieve both EU technological leadership and convergence within the EU.
Recent studies that have emphasized the costs of accumulating reserves for self-insurance purposes have overlooked two potentially important side-effects. First, the impact of the resulting lower spreads on the service costs of the stock of sovereign debt, which could substantially reduce the marginal cost of holding reserves. Second, when reserve accumulation reflects countercyclical LAW central bank interventions, the actual cost of reserves should be measured as the sum of valuation effects due to exchange rate changes and the local-to-foreign currency exchange rate differential (the inverse of a carry trade profit and loss total return flow), which yields a cost that is typically smaller than the one arising from traditional estimates based on the sovereign credit risk spreads. We document those effects empirically to illustrate that the cost of holding reserves may have been considerably smaller than usually assumed in both the academic literature and the policy debate.
The conventional paradigm about development banks is that these institutions exist to target well-identified market failures. However, market failures are not directly observable and can only be ascertained with a suitable learning process. Hence, the question is how do the policymakers know what activities should be promoted, how do they learn about the obstacles to the creation of new activities? Rather than assuming that the government has arrived at the right list of market failures and uses development banks to close some well-identified market gaps, we suggest that development banks can be in charge of identifying these market failures through their loan-screening and lending activities to guide their operations and provide critical inputs for the design of productive development policies. In fact, they can also identify government failures that stand in the way of development and call for needed public inputs. This intelligence role of development banks is similar to the role that modern theories of financial intermediation assign to banks as institutions with a comparative advantage in producing and processing information. However, while private banks focus on information on private returns, development banks would potentially produce and organize information about social returns.
This policy analysis attempts to answer three questions: First, what is the extent of smuggling and customs tax evasion in the Philippines? Second, how can customs improve its risk management system in the short term to minimize officers’ discretion and improve trade facilitation without abdicating its other mandates of revenue generation and border control? Third, what types of reforms and political commitment are necessary in the long term to restore public trust in the Bureau of Customs?
En este estudio se consideraron los productos priorizados en el Reporte de Complejidad Económica de Tabasco y se procedió a evaluar su potencial a partir de un conjunto de consideraciones de mercado. Luego, se agregó el potencial de cada producto en distintas colecciones de producto, y se seleccionó una industria cuya estimulación y desarrollo constituya una apuesta de desarrollo prometedora el estado. Respecto de éste se detallaron algunas estadísticas generales como una forma de evaluar su potencial de crecimiento e impacto para la economía local, estatal y nacional.
Para el objeto de este estudio, el sector industrial escogido para el análisis de cuellos de botella fue el de “Químicos” y, más puntualmente, los productos: “Agentes de limpieza orgánicos (ex. Jabón)”, “Aprestos y aceleradores de tintura”, “Mezclas de sustancias odoríferas”, “Placas fotográficas” y “Tinta”. El desarrollo de esta colección de productos representa una importante oportunidad, la que, a la fecha, los productores mexicanos no han podido aprovechar del todo. Sin embargo, estos productos han presentado un gran dinamismo dentro de México en los años recientes. Entre 2004 y 2014, las exportaciones de México en estos productos se han duplicado, el empleo en los sectores asociados a estos productos ha aumentado un 20%, y el salario promedio en estos sectores ha aumentado entre 40% y 50%.
En este estudio se consideraron los productos priorizados en el Reporte de Complejidad Económica de Campeche y se procedió a evaluar su potencial a partir de un conjunto de consideraciones de mercado. Luego, se agregó el potencial de cada producto en distintas colecciones de producto, y se seleccionó una industria cuya estimulación y desarrollo constituya una apuesta de desarrollo prometedora el estado. Respecto de éste se detallaron algunas estadísticas generales como una forma de evaluar su potencial de crecimiento e impacto para la economía local, estatal y nacional.
Para el objeto de este estudio, el sector industrial escogido para el análisis de cuellos de botella fue el de “Textiles” y, más puntualmente, los productos: “Abrigos para mujeres, de punto”, “Calzoncillos para hombres, de punto”, “Camisas para hombres, de punto”, “Camisas para mujeres”, “Camisas para mujeres, de punto” , “Las demás prendas de vestir, de punto”, “Suéteres (jerseys) y artículos similares, de punto”, “Sostenes y artículos similares”, “Trajes para hombres, de punto”, “Trajes para mujeres, de punto”, “Trajes y pantalones para hombres”, “Trajes y pantalones para mujeres” y “Trapos y cordajes textiles en desperdicios”. El desarrollo de esta colección de productos puede representar una oportunidad. Sin embargo, recientemente las exportaciones de estos productos por parte de México han venido perdiendo espacios en el mercado global, siendo el valor de las exportaciones mexicanas de estos productos en la actualidad menos de la mitad de lo que era en 2004.
En este estudio se consideraron los productos priorizados en el Reporte de Complejidad Económica de Baja California y se procedió a evaluar su potencial a partir de un conjunto de consideraciones de mercado. Luego, se agregó el potencial de cada producto en distintas colecciones de producto, y se seleccionó una industria cuya estimulación y desarrollo constituya una apuesta de desarrollo prometedora el estado. Respecto de éste se detallaron algunas estadísticas generales como una forma de evaluar su potencial de crecimiento e impacto para la economía local, estatal y nacional.
Para el objeto de este estudio, el sector industrial escogido para el análisis de cuellos de botella fue el de “Maquinaria industrial, herramientas y equipo” y puntualmente los productos: “Arboles de transmisión”, “Aparatos para soldar”, “Artículos de grifería para tuberías, calderas, etc.”, “Aparatos para regulación automáticos”, “Bombas para líquidos”, “Calderas para calefacción central” “Contadores de gas, líquido o electricidad”, “Densímetros, termómetros, etc.”, “Lavadoras de ropa”, “Los demás contadores”, “Máquinas de cosechar o trillas”, “Máquinas herramienta para trabajar madera”, “Máquinas para fabricar elementos impresores”, “Máquinas y aparatos para soldar”, “Máquinas y aparatos para trabajar caucho o plástico”, “Máquinas para el procesamiento de tela”, “Partes para máquinas para trabajar maderas o metales” y “Útiles intercambiables para herramientas de mano”. El desarrollo de esta colección de productos presenta oportunidades muy atractivas tanto a nivel nacional como internacional. Más aún, la producción de estos productos ha exhibido un importante dinamismo en el país durante los últimos años. Las exportaciones mexicanas de estos productos han aumentado en valor un 175% durante en el período 2004-2014. Asimismo, el empleo en las industrias asociadas al desarrollo de estos productos ha aumentado más de 35%.
At a time of slow growth in several advanced and emerging countries, calls for more structural reforms are multiplying. However, estimations of the short- and medium-term impact of these reforms on GDP growth remain methodologically problematic and still highly controversial. We contribute to this literature by making a novel use of the non-parametric Synthetic Control Method to estimate the impact of 23 wide-reaching structural reform packages (including both real and financial sector measures) rolled out in 22 countries between 1961 and 2000. Our results suggest that, on average, reforms started having a significant positive effect on GDP per capita only after five years. Ten years after the beginning of a reform wave, GDP per capita was roughly 6 percentage points higher than the synthetic counterfactual scenario. However, average point estimates mask a large heterogeneity of outcomes. Benefits tended to materialise earlier, but overall to be more limited, in advanced economies than in emerging markets. These results are confirmed when we use a parametric dynamic panel fixed effect model to control for the rich dynamics of GDP, and are robust to a variety of alternative specifications, placebo and falsification tests, and to different indicators of reform.
Special Economic Zones (SEZ) have played an important role in Panama's successful growth story over the previous decade. SEZ have attracted local and foreign investment by leveraging a business-friendly environment of low transaction costs, and created many stable, well-paid jobs for Panamanians. Beyond that, SEZ shall be assessed as place-based policy by their capacity to boost structural transformations, namely attracting new skills and more complex know-how not to be found in the domestic economy.
The aim of this paper is to evaluate the three largest SEZ in Panama:
Colon Free Zone
City of Knowledge
Our results suggest that SEZ have been successful as measured by static indicators, such as foreign investment, job creation and productivity. We also find that SEZ have boosted inflows of high-skill immigrants, who are most likely generating positive knowledge spillovers on Panamanians productivity and wages. However, significant legal instruments and institutional designs are preventing Panama from taking full advantage of the skill variety hosted at the SEZ. Complex immigration processes inhibiting foreigners from transitioning out of the SEZ, a long list of restricted professions and even citizenships considered as a national security concern, are hindering the flow of knowledge, keeping the benefits coming from more complex multinational companies locked inside the gates of SEZ.
After an era of generic support for economic development and innovation, narrowly targeted transformation policy is back on the table. Recent advances in the fields of new industrial policy and transition thinking converge on the idea that achieving structural change requires governments to take an active role in overcoming inertia. Rather than just leveraging R&D investments and setting framework conditions, policy makers are urged to participate in the development of socio-economic systems around particular technologies. Associated policy support typically involves a diverse portfolio of system-specific interventions.
The emergence of transformative policy, in this paper characterized by being selective, process-oriented and multi-instrumental, poses severe challenges to rising standards of public accountability. Evaluation methods for calculating the ‘bang for the buck’ of R&D-leveraging measures are ill-suited when policy mixes are supposed to enact economic transformation. We argue that, in order to see if aptly chosen policy design is bringing about actual change, assessments should gauge policy contributions to building up technological innovation systems (TIS). The TIS-literature provides a concrete but untapped basis for tracking how policy efforts affect conditions favoring the creation and diffusion of new economic activities. This premise leads us to introduce a scheme for structuring analyses concerned with (the links between) the organization, orientation and aggregate impact of transformative policy. We test it in a tentative assessment of the Dutch ‘Topsector approach’.
Besides facilitating continuous policy learning, our assessment scheme also serves to strengthen policy maker’s ability to legitimize the adoption of heterodox economic approaches.
This paper presents a descriptive analysis of wage inequality in Colombia by cities and industries and attempts to evaluate the impact of the inequality of industries on inequality of cities. Using the 2010-2014 Colombian Social Security data, we calculate the gini coefficient for cities and industries and draw comparisons between their distributions. Our results show that while cities are unequal in similar ways, industries differ widely on how unequal they can be with ginis. Moreover, industrial structure plays a significant role to determine city inequality. Industrial framework proves to be a key element in this area for researches and policymakers.
Income per capita in Uganda has doubled in the last 20 years. This remarkable performance has been buoyed by significant aid flows and large external imbalances. Economic growth has been concentrated in non-tradable activities leading to growing external imbalances and a growing gap between rural and urban incomes. Future growth will depend on achieving sufficient export dynamism. In addition, growth faces a number of other challenges: low urbanization rate, rapid rural population growth and high dependency ratios. However, both the dependency ratio and fertility rates have begun to decline recently. Rural areas are also severely overcrowded with low-productivity subsistence agriculture as a pervasive form of production. Commercial agriculture has great possibilities to increase output, but as the sector improves its access to capital, inputs and technology it will shed jobs rather than create them.
These challenges combined tell us that future growth in Uganda will require a rapid rate of export growth and economic diversification. The country faces the prospect of an oil boom of uncertain size and timing. It could represent an important stepping stone to achieve external sustainability, expanded income and infrastructure and a greater internal market. However, as with all oil booms, the challenges include avoiding the Dutch disease, managing the inevitable volatility in oil incomes and avoiding inefficient specialization in oil. Policies that set targets for the non-oil deficit could help manage some of these effects, but a conscious strategy to diversify would still be needed.
The best strategy is therefore to use the additional oil revenue and accompanying investments to promote a diversification strategy that is sustainable. To determine how to encourage such a transformation, we draw on a new line of research that demonstrates how development seldom implies producing more of the same. Instead, as countries grow, they tend to move into new industries, while they also increase productivity in existing sectors. In this report, we analyze what those new industries might be for Uganda.
To do so, we first look to those products which balance the desire to increase the diversification and complexity of production, while not over-stretching existing capabilities. These include mostly agricultural inputs, such as agrochemicals and food processing. In addition, Uganda should concurrently develop more complex industries, such as construction materials, that are reasonably within reach of current capabilities and will be in great demand in the context of an oil boom. Here, the fact that Uganda is landlocked and faces high import costs will provide natural protection to the expanding demand in Uganda and neighboring countries. We conclude with a discussion of the government policies that will support Uganda in developing new tradable industries.