Héctor F . Calvo Pardo , Gregory Corcos and Emanuel
نویسندگان
چکیده
Firms need to incur substantial sunk costs to break in foreign markets, yet many give up exporting shortly after their first experience, which typically involves very small sales. Conversely, other new exporters shoot up their foreign sales and expand to new destinations. We investigate a simple theoretical mechanism that can rationalize these patterns. A firm discovers its profitability as an exporter only after actually engaging in exporting. The profitability is positively correlated over time and across foreign destinations. Accordingly, once the firm learns how good it is as an exporter, it adjusts quantities and decides whether to exit and whether to serve new destinations. Thus, it is the possibility of profitable expansion at both the intensive and extensive margins what makes incurring the sunk costs to enter a single foreign market worthwhile despite the high failure rates. Using a census of Argentinean firm-level manufacturing exports from 2002 to 2007, we find empirical support for several implications of our proposed mechanism, indicating that the practice of “sequential exporting” is pervasive. Sequential exporting has broad but subtle implications for trade policy. For example, a reduction in trade barriers in a country has delayed entry effects in its own market, while also promoting entry in other markets. This trade externality poses challenges for the quantification of the effects of trade liberalization programs, while suggesting neglected but critical implications of international trade agreements. JEL Classifications: F10; D21; F13
منابع مشابه
Globalisation, Vertical Linkages, and ‘Relational Contracts‘
This paper analyses the consequences of trade liberalisation on firms’ internal organisation, with formal and informal arrangements. I extend the ’relational contract’ approach of Baker, Gibbons, and Murphy (2002) in an open economy set-up. I find that freer trade in final goods increases the quasi-rents from suppliers’ specific investments, leading to an increase in outsourcing. When trade lib...
متن کاملA Hybrid Regression System Based on Local Models for Solar Energy Prediction
The aim of this study is to predict the energy generated by a solar thermal system. To achieve this, a hybrid intelligent systemwas developed based on local regression models with low complexity and high accuracy. Input data is divided into clusters by using a Self Organization Maps; a local model will then be created for each cluster. Different regression techniques were tested and the best on...
متن کاملA hybrid intelligent system for PID controller using in a steel rolling process
With the aim to improve the steel rolling process performance, this research presents a novel hybrid system for selecting the best parameters for tuning in open loop a PID controller. The novel hybrid system combines rule based system and Artificial Neural Networks. With the rule based system, it is modeled the existing knowledge of the PID controller tuning in open loop and, with Artificial Ne...
متن کاملIntelligent Model for Fault Detection on Geothermal Exchanger of a Heat Pump
The Heat Pump with geothermal exchanger is one of the best methods to heat a building. The heat exchanger is an element with probabilities of failure due its size and due it is outside construction. The present study shows a novel intelligent system design to detect faults on this type of heating equipment. The novel approach has been successfully empirically tested under a real dataset obtaine...
متن کاملEvidence for sexual difference in astrocytes of adult rat hippocampus.
We quantified the number of glial fibrillary acidic protein immunoreactive (GFAP-IR) astrocytes in the CA1 and CA3 areas of the adult rat hippocampus. The dorsal and ventral regions of the hippocampus were taken into account to estimate the GFAP-IR cells using unbiased stereological techniques. Males had a higher number of GFAP-IR astrocytes in the CA3 area, whereas females had more in the CA1 ...
متن کامل