There is a Future after Cars: Economic Growth Analysis for Hermosillo
For 30 years, Hermosillo has been wondering whether it has a future after Ford. Until the early 1980s, the city relied mainly on agricultural activity. When the multinational motor company arrived in this northwestern Mexican city in 1986, it changed the history of a region that up until that point had relied heavily on agriculture. The assembly plant was established and many auto parts suppliers sprang up, triggering industrialization and increasing the complexity of its economy, its productivity, and wages. Intensive manufacturing development turned Hermosillo into the fifth richest metropolitan area in Mexico in 1998.
Broadly speaking, this growth trajectory was maintained. In 2015, Hermosillo was in the top 5% of wealthiest municipalities, with poverty levels and informal employment rates significantly lower than in the rest of the country. But the economy of this city in Sonora State has clearly lost its dynamism over the past few years. Even in Mexico’s low-growth context during the period 2005-2015, growth in per capita gross domestic product in Hermosillo (1.3%) fell below the federal average (1.4%). Hermosillo’s relative performance during this decade was not uniform. Between 2005 and 2010, it grew at a rate of 1.3%, placing it in the 66th percentile (among the top 34% for growth rate) of all municipalities in Mexico. In the second half of the decade, Hermosillo barely reached 1.2% growth, falling to the 47th percentile (53% of Mexican municipalities grew more). The situation worsened in the years 2013-2015, when output per worker fell by 7.2%.
What happened in Hermosillo? Can the current economic structure sustain the municipality’s high wages and guarantee future growth? What policy interventions are needed?
Seeking answers to these questions, the Growth Lab at Harvard’s Center for International Development joined forces with the Inter-American Development Bank or IDB, in particular with its Emerging and Sustainable Cities Program (ESC). This program is a technical assistance initiative that provides support to regional governments to develop and execute urban sustainability projects. ESC’s goal is to contribute to priority urban interventions to provide the sustainable, harmonious growth of cities. This part of its vision is aligned with the idea of promoting inclusive growth and prosperity that guides the Growth Lab’s research.
Social Networks and the Intention to Migrate
Using a large individual-level survey spanning several years and more than 150 countries, we examine the importance of social networks in influencing individuals’ intention to migrate internationally and locally. We distinguish close social networks (composed of friends and family) abroad and at the current location, and broad social networks (composed of same-country residents with intention to migrate, either internationally or locally). We find that social networks abroad are the most important driving forces of international migration intentions, with close and broad networks jointly explaining about 37% of variation in the probability intentions. Social networks are found to be more important factors driving migration intentions than work-related aspects or wealth (wealth accounts for less than 3% of the variation). In addition, we nd that having stronger close social networks at home has the opposite effect by reducing the likelihood of migration intentions, both internationally and locally.
Last updated on 12/10/2021
Is Our Human Capital General Enough to Withstand the Current Wave of Technological Change?
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.
Place-specific Determinants of Income Gaps: New Sub-National Evidence from Chiapas, Mexico
The literature on income gaps between Chiapas and the rest of Mexico revolves around individual factors, such as education and ethnicity. Yet, twenty years after the Zapatista rebellion, the schooling gap between Chiapas and the other Mexican entities has shrunk while the income gap has widened, and we find no evidence indicating that Chiapas indigenes are worse-off than their likes elsewhere in Mexico. We explore a different hypothesis. Based on census data, we calculate the economic complexity index, a measure of the knowledge agglomeration embedded in the economic activities at a municipal level in Mexico. Economic complexity explains a larger fraction of the income gap than any individual factor. Our results suggest that chiapanecos are not the problem, the problem is Chiapas. These results hold when we extend our analysis to Mexico’s thirty-one federal entities, suggesting that place-specific determinants that have been overlooked in both the literature and policy, have a key role in the determination of income gaps.
Measuring Venezuelan Emigration with Twitter
Venezuela has seen an unprecedented exodus of people in recent months. In response to a dramatic economic downturn in which inflation is soaring, oil production tanking, and a humanitarian catastrophe unfolding, many Venezuelans are seeking refuge in neighboring countries. However, the lack of official numbers on emigration from the Venezuelan government, and receiving countries largely refusing to acknowledge a refugee status for affected people, it has been difficult to quantify the magnitude of this crisis. In this note we document how we use data from the social media service Twitter to measure the emigration of people from Venezuela. Using a simple statistical model that allows us to correct for a sampling bias in the data, we estimate that up to 2,9 million Venezuelans have left the country in the past year.
The Exposure of U.S. Manufacturing Industries to Exchange Rates
Safe asset demand and currency manipulation increase the dollar and the U.S. current account deficit. Deficits in manufacturing trade cause dislocation and generate protectionism. Dynamic OLS results indicate that U.S. export elasticities exceed unity for automobiles, toys, wood, aluminum, iron, steel, and other goods. Elasticities for U.S. imports from China are close to one or higher for footwear, radios, sports equipment, lamps, and watches and exceed 0.5 for iron, steel, aluminum, miscellaneous manufacturing, and metal tools. Elasticities for U.S. imports from other countries are large for electrothermal appliances, radios, furniture, lamps, miscellaneous manufacturing, aluminum, automobiles, plastics, and other categories. For U.S. exports and especially for U.S. imports from China, trade in more sophisticated products are less sensitive to exchange rates. Stock returns on many of the sectors with high export and import elasticities also fall when the dollar appreciates. Several manufacturing industries are thus exposed to a strong dollar. Policymakers could weaken the dollar and deflect protectionist pressure by promoting the euro, the yen, and the renminbi as alternative reserve currencies.
Growth Accelerations Strategies
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.
Why do Industries Coagglomerate? How Marshallian Externalities Differ by Industry and Have Evolved Over Time
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
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.
The Middle Productivity Trap: Dynamics of Productivity Dispersion
Using a worldwide firm-level panel dataset I document a “U-shaped” relationship between productivity growth and baseline levels within each country and industry. That is, fast productivity growth is concentrated at both ends of the productivity distribution. This result
serves as a potential explanation to two stylized facts documented in the economic literature: the rising productivity dispersion within narrowly defined sectors, and the increasing market share of few yet highly productive firms.