Fellow Working Papers

Baja California se ha ubicado consistentemente entre los estados más prósperos de México, pero también entre los de crecimiento más volátil. De hecho, el desempeño económico reciente del estado estuvo marcado por una fuerte fase de desaceleración (como consecuencia de la crisis financiera en Estados Unidos), y una de recuperación, en la que si bien la entidad logró alcanzar sus niveles de crecimiento pre-crisis, solo ha podido hacerlo de manera parcial en términos de productividad, ingresos laborales, y empleo.

Esta trayectoria de colapso y recuperación parcial invita a una reflexión sobre los dilemas que enfrenta la entidad, particularmente en torno a sus fuentes de vulnerabilidad. Como se vio, una parte importante de la caída del producto durante el periodo de desaceleración viene explicada por la contracción de la demanda en los Estados Unidos. Sin embargo, factores más específicos al estado, tales como su integración multidimensional con California (incluyendo la del mercado inmobiliario), jugaron un papel amplificador de los efectos de la crisis. Adicionalmente, el hecho de que la entidad no haya sido capaz de mitigar los efectos de la transición tecnológica de su principal producto de exportación o de re-desplegar estos conocimientos productivos en actividades que permitieran recuperar plenamente los ingresos medianos, el empleo y la productividad laboral, puede ser indicio que existen características, propias de su naturaleza productiva, que abonan bien sea a aumentar la vulnerabilidad o a reducir la capacidad de recuperación.

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%.

En primer lugar, en este reporte se realizó una consolidación de los principales hallazgos de las investigaciones previas relativas al estado. En términos generales, se planteó que la entidad destaca por ser una de las más prospera del país, pero, al mismo tiempo, por haber exhibido un virtual estancamiento económico durante los últimos años. Esta situación se explicaría, en gran medida, por el efecto de la crisis financiera en Estados Unidos sobre su demanda por exportaciones, pero también por factores más específicos al estado, tales como el mayor impacto de la recesión estadounidense producto de la integración multidimensional de la entidad con California (incluyendo la inmobiliaria) y el shock tecnológico que afectara la producción de televisores, su producto de exportación más importante. Por otro lado, como principales restricciones a la diversificación productiva y el crecimiento económico en el futuro, se identificaron los problemas de inseguridad que vive el estado, así como su significativa dependencia de la actividad maquiladora. Este último elemento resulta relevante podría llevar a sobre-estimar las capacidades productivas existentes y hacer a la entidad más vulnerable a pequeños cambios regulatorios, tecnológicos o de demanda.

Posteriormente se presentó una descripción de las estrategias de desarrollo económico actuales encabezadas por autoridades a diversos niveles. Para ello, se realizó un mapeo de la oferta de programas públicos productivos y los actores que intervienen en su diseño y ejecución en base al Plan de Desarrollo Estatal 2014-2019, los Planes Municipales de Tijuana (2017-2019) y Mexicali (2017-2019) la Ley de Desarrollo Económico del Estado, la Agenda de Innovación, el Sistema Estatal de Indicadores, y la información cualitativa recogida durante visitas a la entidad. Esta revisión sistemática puso de relieve que el diseño de las estrategias de desarrollo económico ha contemplado, en su mayoría, proyectos con alcance vertical y un foco en la provisión de diferentes clases de insumos públicos. Esto resulta positivo toda que son precisamente este tipo de políticas las que presentan un mayor potencial para reducir los problemas de coordinación entre el sector público y privado y, por tanto, resultar en aumentos en la productividad. Sin perjuicio de lo anterior, es posible identificar obstáculos que inhiben una implementación eficiente de las estrategias. En particular, la falta de un proceso consultivo y guiado para la asignación de estímulos y la inexistencia de mecanismos para recolectar información sobre los factores que puedan desalentar la llegada de inversiones.

Oaxaca is the second-poorest state in Mexico. It is also growing more slowly than the national average, leading to regional divergence. This paper seeks to diagnose the binding constraints that keep GDP growth in Oaxaca low.

There is significant variation in average monthly incomes within Oaxaca, with a 12x gap between the municipality with the highest salary and that with the lowest. Oaxaca has 570 municipalities, whereas given its population and the national average for people per municipality it should have 66. And it is very indigenous: 58% of the population speaks an indigenous language, compared to a national average of 15%. Oaxaca’s product space, a measure of how many kinds of industries provide employment in the state, is very low and has seen very limited change since 2004. The state shares some similarities with other states in southern Mexico, such as Chiapas and Guerrero. All three share a limited manufacturing base which, even after signing NAFTA, remained flat as a proportion of state GDP. They also have a poverty rate nearly 3 times the national average. 

Oaxaca is a large state with a rugged natural landscape. Its population is highly dispersed, relative to other states in Mexico. This makes infrastructure critical. However, widespread road construction between 2004 and 2014 does not seem to have made a difference to either growth rates or economic complexity at the municipality level, suggesting the infrastructure constraint is not binding. We believe, however, that mobility might be. Transportation costs as a proportion of wages are very high, and are further increased by costly road blockages. This limits the flexibility of the labor force and the aggregation of talent.

Low human capital can reduce the social returns to investment. Even though education is contentious in the state’s politics, Oaxaca’s education gap has been falling over time relative to the national average and its neighbors. This relative increase in years of education, however, has not been translated into economic development. We find that returns to education in the state are very similar to the returns to education in the rest of Mexico and higher than returns to education in Chiapas. We also note that the proportion of schooling undertaken in private institutions is in line with that in other states with higher quality of education. Finally, a Oaxaca-Blinder decomposition suggests that education does not explain wage differentials between Oaxaca and other states. All this evidence suggests that education is not a binding constraint to growth in Oaxaca.

Governance challenges increase the risk of investing in Oaxaca. For instance, over 75% of the municipalities in Oaxaca are governed through Usos y Costumbres. Only 153 of the 570 municipalities use a government-run election to determine their leader, and out of those, four did not elect a municipal president in the June 2016 election due to internal conflicts. 146 municipalities lack a police service. While Usos y Costumbres is a key part of the local social contract, it creates problems, such as in contract enforceability. It also limits migration in and out of the state. We also observe a negative correlation between Usos y Costumbres and local wages that is not explained by factors like indigenous origin.

We also explore access to finance as a constraint to GDP growth. While enterprise surveys confirm that high interest rates, and distance to banks are a problem, Oaxaca’s microenterprises bypass these problems by borrowing from cajas de ahorro or local credit unions. However, most borrowing is destined for consumption rather than investment. We also observe that FDI flows into Oaxaca are very scarce. For these reasons, we believe the binding constraint in Oaxaca is not access to finance, but rather low returns to investment.

It is helpful to think whether there is an underlying syndrome that might explain the two binding constraints we identified: transportation costs and governance. One possible hypothesis is the isolation of people into very small communities that have very strong bonds within the community and very weak bonds outside of it. Oaxaca shows high variety in ethnic groups, languages, and government systems. On average, each municipality has 6,670 people, but there are 110 municipalities with less than 1,000 people. Elsewhere in Mexico, dispersed rural populations gradually converged into urban clusters around job opportunities. In Oaxaca, the process is not yet afoot because of a “productivity trap”, in which low productivity means urban salaries do not cover the costs of transportation or permanent moves, and dispersion keeps productivity low by failing to concentrate employees. Cultural diversity has a side effect of encouraging spatial dispersion and isolation, and of having hundreds of different sets of “rules of the game” covering the state’s population. Increasing the complexity of this economy requires breaking the trap by finding new business models (i.e., encouraging discovery) and coordinating economic activities.  

Economic complexity analysis can point us to new industries that are feasible given Oaxaca’s productive capabilities and the existing constraints we discussed. While Oaxaca’s municipalities have among the least complex economies in the country, some industries stand out from our complexity analysis as potentially promising for Oaxaca. The end of the report singles out some industries for further analysis.

The degree to which modern technologies are able to substitute for groups of job tasks has renewed fears of near-future technological unemployment. We argue that our knowledge, skills and abilities (KSA) go beyond the specific tasks we do at the job, making us potentially more adaptable to technological change than feared. The disruptiveness of new technologies depends on the relationships between the job tasks susceptible to automation and our KSA. Here we first demonstrate that KSA are general human capital features while job tasks are not, suggesting that human capital is more transferrable across occupations than what job tasks would predict. In spite of this, we document a worrying pattern where automation is not randomly distributed across the KSA space – it is concentrated among occupations that share similar KSA. As a result, workers in these occupations are making longer skill transitions when changing occupations and have higher probability of unemployment.

Setting a country’s structural growth rate on a higher path, i.e. sparking and sustaining a growth acceleration can have quantitatively huge implications for national income and, more broadly, for people’s wellbeing. We develop a novel statistical framework to identify systematically the set of binding constraints that were unlocked before the 135 growth acceleration episodes that took place between 1962 and 2002 worldwide. We employ this information to characterise the acceleration process, which tends to be preceded by a deep recession and major economic policy changes. Once we combined this information with a set of counterfactual analyses, we find however that successful acceleration strategies should not contain off-the-shelf approaches or necessarily all-encompassing “shock therapy” solutions. On the other hand, they call for a careful tailoring to local conditions. Richer countries tend to experience fewer accelerations, but once these have been ignited, they are better positioned to make the most out of them. Despite standard growth determinants doing a fairly good job at characterising successful accelerations, we note how take-offs remain extremely hard to engineer with a high degree of certainty.

The fact that firms benefit from close proximity to other firms with which they can exchange inputs, skilled labor or know-how helps explain why many industrial clusters are so successful. Studying the evolution of coagglomeration patterns, we show that which type of agglomeration benefits firms has drastically changed over the course of a century and differs markedly across industries. Whereas, at the beginning of the twentieth century, industries tended to colocate with their value chain partners, in more recent decades the importance of this channels has declined and colocation seems to be driven more by similarities industries' skill requirements. By calculating industry-specific Marshallian agglomeration forces, we are able to show that, nowadays, skill-sharing is the most salient motive in location choices of services, whereas value chain linkages still explain much of the colocation patterns in manufacturing. Moreover, the estimated degrees to which labor and input-output linkages are reflected in an industry's coagglomeration patterns help improve predictions of city-industry employment growth.

Original version of this paper was published in 2016.

Macroeconomic adjustment in the euro area periphery was more recessionary than pre-crisis imbalances would have warranted. To make this claim, this paper uses a Propensity Score Matching Model to produce counterfactuals for the Eurozone crisis countries (Greece, Portugal, Ireland, Cyprus, Spain) based on over 200 past macroeconomic adjustment episodes between 1960-2010 worldwide. At its trough, between 2010 and 2015 per capita GDP had contracted on average 11 percentage points more in the Eurozone periphery than in the standard counterfactual scenario. These results are not dictated by any specific country experience, are robust to a battery of alternative counterfactual definitions, and stand confirmed when using a parametric dynamic panel regression model to account more thoroughly for the business cycle. Zooming in on the potential causes, the lack of an independent monetary policy, while having contributed to a deeper recession, does not fully explain the Eurozone’s specificity, which is instead to be identified in a sharper-than-expected contraction in investment and fiscal austerity due to high funding costs. Reading through the overall findings, there are reasons to believe that an incomplete Eurozone institutional setup contributed to aggravate the crisis through higher uncertainty.