2017
DOI: 10.1007/s00181-016-1220-3
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Estimating export equations: a survey of the literature

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Cited by 22 publications
(25 citation statements)
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“…In recent years, several studies have used the gravity model to examine the effects of different factors on exports in general, but also in the wine sector in particular (e.g., Dascal, Mattas, and Tzouvelekas, 2002;Castillo, Villanueva, and García-Cortijo, 2016;Dal Bianco et al, 2016, 2017Gouveia, Rebelo, and Lourenço-Gomes, 2018). The variables commonly used include economic factors affecting trade flows in the origin countries, economic factors affecting trade flows in the destination countries, and natural or artificial factors enhancing or restricting trade flows.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, several studies have used the gravity model to examine the effects of different factors on exports in general, but also in the wine sector in particular (e.g., Dascal, Mattas, and Tzouvelekas, 2002;Castillo, Villanueva, and García-Cortijo, 2016;Dal Bianco et al, 2016, 2017Gouveia, Rebelo, and Lourenço-Gomes, 2018). The variables commonly used include economic factors affecting trade flows in the origin countries, economic factors affecting trade flows in the destination countries, and natural or artificial factors enhancing or restricting trade flows.…”
Section: Introductionmentioning
confidence: 99%
“…As countries or sectors have turned toward export-led growth strategies, the estimation of export equations has become more relevant to support policy decisions. Bayar (2018) grouped export equations into four levels of analysis, from macro to micro: aggregated level exports, country-level, sector-level and firm-level analysis or combinations of them, each one requiring the availability of specific data. The research included in this work is a mix between country-level and sector-level analysis.…”
Section: Theoretical Framework: the Gravity Equationmentioning
confidence: 99%
“…Where the dependent variable exports represents the exports of wine w (Port or Douro) to country i in year t. Among the explanatory variables there are typical variables of gravity equations, such as the GDP of country i in year t (gdp), the average annual exchange rate of country i's currency in relation to the euro in year t (er ), a dummy variable equal to 1 if country i is member of the European Union (EU) in year t or 0 otherwise (eu), the geographical distance between Lisbon and the capital city of country i (dist), a dummy variable equal to 1 if country i is landlocked (land ), and a dummy variable equal to 1 if country i has a common official language with Portugal (lang). Because the research is focused in each wine, considered equivalent to a single sector, two explanatory variables were specifically included to represent sectoral characteristics (Bayar 2018), which are the ad valorem equivalent tariff applied by country i to wine w (Port or Douro) imports in year t (ave) and the litres of wine produced by the importing country in year t (prod ).…”
Section: Theoretical Framework: the Gravity Equationmentioning
confidence: 99%
“…Moreover, neither a robust analytical framework (such as meta-analysis) nor a qualitative synthesis of the empirical results of the studies covered was provided. Finally, Bayar (2018) presented a general and comprehensive review of all the determinants which were shown by the existing empirical results to significantly affect exports. One of the determinants | 3143 KASTRATOVIĆ considered in the review was foreign direct investment.…”
Section: Introductionmentioning
confidence: 99%