Person:
Herguera García, Íñigo

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First Name
Íñigo
Last Name
Herguera García
URI
https://hdl.handle.net/20.500.14352/74659
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Económicas y Empresariales
Department
Análisis Económico y economía cuantitativa
Area
Fundamentos del Análisis Económico
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2018 - 20203
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    Drivers and barriers to cross-border e-commerce: Evidence from Spanish individual behavior
    (Telecommunications Policy, 2018) Valarezo Unda, Ángel Eduardo; Pérez Amaral, Teodosio; Herguera García, Íñigo; López Zorzano, Rafael Alberto; Garín Muñoz, Teresa
    This paper explores the determinants of the individual's decision to perform cross-border ecommerce (CBeC). The European Union (EU) is especially interested in the promotion of CBeC because it is an important tool in its strategy to achieve the Digital Single Market in Europe. In this paper official data is used from a representative survey of 16,209 individuals on ICT usage by households and individuals that was carried out in Spain by the National Institute of Statistics (INE) for the year 2016. Using a standard neoclassical utility maximization framework, and logistic regression techniques, the results show that being a male is positively related to the probability of practicing CBeC. Education is positively and significantly related to the probability of being involved in CBeC with EU countries. Computer and Internet Skills are significant and positive factors in explaining CBeC (either with EU countries or with the rest of the world). The variable “how often the consumer sees other customer reviews before buying online”, has a positive effect. Foreign nationality also increases the likelihood of using CBeC. To promote CBeC in Spain measures towards developing digital skills, Internet trust and use of online information reviews of goods and services are discussed.
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    E-commerce by individuals in Spain using panel data 2008–2016
    (Telecommunications Policy, 2020) Pérez Amaral, Teodosio; Valarezo Unda, Ángel Eduardo; López Zorzano, Rafael Alberto; Garín-Muñoz, Teresa; Herguera García, Íñigo
    Digital technologies sometimes create digital divides. One of the remedies for certain divides in Europe is the creation of the Digital Single Market, of which e-commerce is one of the main elements. The focus of this work is e-commerce in Spain. The current study improves on existing international literature by using a large and representative panel data set on individual consumers, with 133,420 observations for the period 2008–2016. Moreover, it uses economic models and employs a variety of panel techniques. This paper measures digital e-commerce divides and their evolution along time. Next, a model that incorporates previously neglected explanatory variables, at the individual level, such as income and digital skills, is formulated. Individual demand models are estimated using panel logistic regression techniques. This allows quantifying the impact of each of the socioeconomic and geographic characteristics on the adoption of the service. Newly incorporated variables are significant as well as age, education, gender and geographical and time variables. The results allow novel regional comparisons. Policy recommendations are derived, suggesting effective and affordable measures targeted at specific socio-demographic groups.
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    Models for individual adoption of eCommerce, eBanking and eGovernment in Spain
    (Telecommunications Policy, 2019) Garín-Muñoz, Teresa; López Zorzano, Rafael Alberto; Pérez Amaral, Teodosio; Herguera García, Íñigo; Valarezo Unda, Ángel Eduardo
    This paper analyzes the adoption patterns of selected internet services such as eCommerce, eBanking and eGovernment in Spain. High quality official data from the Survey on Equipment and Use of Information and Communication Technologies in Households (ICT-H) of the National Institute of Statistics are used. The dataset is a cross section of 16,209 individuals for 2016. Theoretical demand models, grounded in a standard neoclassical utility maximization framework, are adapted to these services. Logistic regression techniques allow quantifying the impact of the socioeconomic characteristics of the individual on the adoption of each service. The resulting models are statistically significant and with a high predictive power. Age, education and levels of internet and computer skills are all significant in explaining the adoption of any of the three services; as are gender and income, but just for eCommerce and eBanking. Interestingly, the level of trust in internet is only significant to explain participation in eCommerce. Finally, policy recommendations are suggested, highlighting the desirability of using specific measures for the different socio-demographic groups and income strata.