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Banks are institutions that inject money in the economy and help to boost it when there are problems in some markets, especially in productive sectors. In this way, analysing the competition in this sector is an important tool for policymakers as non-competitive behaviour could affect the financial system and economy. The purpose of this paper is to measure the degree of competition in the Ecuadorian private banking sector divided by size, from 2000 to 2015, using panel data collected by the official regulator institution.

The authors applied the model proposed by Panzar and Rosse (1987) and its H-statistic using a reduced price and revenue equation estimated by pooled ordinary least squares, fixed effects, random effects, feasible generalised fixed effects and panel correction standard errors (PCSE).

The authors show that given the presence of some problems in data such as heteroskedasticity and autocorrelation, the most appropriate technique is PCSE. The authors also found robust evidence supporting that large banks compete in a monopolistic market, small and medium-sized banks operate in monopolistic competition, and Ecuadorian small, medium-sized and large banks stay in long-run equilibrium.

This paper contributes to the actual literature of competition degree in two ways. First, different from traditional papers, we do not control by size; so, we divided the analysis by size, because in Ecuador and also in many developing countries, bank’s competition is different for each group of size because the levels of liquidity, risk and other indicators are different from one group to another. Second, we show the robustness of the results using a scaled and unscaled equation, using many controls and using five methods to contrast the competition degree.

Business creation is an important measure of real economic activity as it shows the dynamics with which new firms are born, create jobs, move their capital, innovate and compete with old firms. In this sense, this paper aims to analyze the short-term impact of the lockdown policies implemented to stop the spread of the COVID-19 on the creation of new formal firms in Ecuador.

This paper uses a regression discontinuity in time (RDiT) design jointly with official administrative real-time data. This data is collected by the supervisory and regulatory institution of formal companies in Ecuador. The authors use real-time data from January 13, 2020, to May 15, 2020. This period allows to use the President’s order of effective lockdown on March 16, 2020, as the exogenous event. This gives 43 working days on each side of the cutoff date on the baseline model.

The authors find: an overall large drop in the creation of new formal firms (−73%) and a decrease in the total amount of initial capital coming from the new formal firms (−40%). Additionally, the results suggest that the negative impact of the COVID-19 lockdown on the creation of new formal firms seems not to decrease in the short term. The main conclusion is that lockdown policies have a negative impact on firm creation, a result that is of high policy relevance and can be a tool to design business attraction policies.

The analysis is carried out in a short period because on May18, 2020, a new policy was applied in Ecuador that allowed firms to be created more quickly, with 1 USD of capital, and 1 shareholder, among other benefits, and this may affect the outcomes analyzed in this document, so extending the analysis of the impact of the lockdown to a longer period could result in biased results due to this policy. Additionally, studying daily sales would be of the utmost importance; however, these data are not found in the database of the supervising institution.

This study contributes to the empirical literature and the policy debate in various aspects. First, it is important to generate facilities for the creation of new formal firms, from the reduction of days it takes to create one (using technology as a support in this matter) to the decrease of the minimum capital to formalize a company. Second, improve the business conditions of the new formal firms that were born during the pandemic, but also that these conditions create stimulus for the creation of new companies. Third, the authors show that induced-lockdown policies have a negative impact on the creation of new formal firms and the total amount of initial capital from new formal firms; this effect could be a full-blown recession if governments do not apply mechanisms to revert this situation that could be a drag on the economy.

This paper opens the debate on the effects of the COVID-19 lockdown on the creation of new formal firms; therefore, future research could study the impact in a broader time window to analyze medium and long-run effects, but also in different economic sectors and in the effects on firm bankruptcy, which added to an analysis of job loss, will show a total effect of damage in the economy.

The purpose of this paper is is to identify the main determinants of insurance profitability on life and non-life segments to obtain which variables affect in each market of the Ecuadorian insurance sector.

The authors use a large panel data set with financial information from 2001 to 2017 and estimate the determinants through a panel corrected standard errors regression.

The authors found that net premiums, technical reserves, capital ratio and score efficiency are micro-determinants in the life insurance sector, whereas in the non-life sector, the micro-determinants include also claim level and liquidity ratio; moreover, the authors found that HHI is a determinant of profitability only in the life insurance. Among the macro determinants set, the authors found that the interest rate has also a significant impact both in the life and non-life insurance.

The authors analyze a dollarized emerging country, which is the first time in this kind of studies. The authors also include the structure-conduct-performance and relative market power paradigm as well as the ES hypothesis, calculated through the data envelopment analysis, as determinants of insurance profitability. Finally, this is the first research to examine the determinants of profitability in Latin American and Caribbean insurers.

The service industry has become an important sector for the economic growth, particularly in developing countries. In this context, the aim of this article is to compare the productivity determinants across firms operating in low and high knowledge intensity service sectors (low knowledge intensive sectors (LKIS) and high knowledge intensive sectors (HKIS)) in Ecuador.

The authors use a two-step estimation method. The firm productivity is estimated in the first step and the productivity determinants in the second step. To achieve the objective, the authors use an unbalanced panel database on the financial statements from formal Ecuadorian firms for the period 2007–2018.

The authors’ results show that LKIS firms are slightly more labor-intensive compared to HKIS firms. Productivity determinants are similar across HKIS and LKIS firms, except for exports and market concentration. HKIS firms are more productive when the competition level is low, indicating that higher market power is associated with higher productivity. The influence of taxes on productivity depends on firm size. Small and medium-sized firms are more negatively affected than large firms.

Taxes should be designed considering the size of the companies, since these could affect their productivity. Thus, lower taxes to small and medium firms may reduce firm size inequality. In addition, the acquired knowledge of HKIS should be spread to other firms becoming a positive externality instead of an entry barrier.

Despite the productivity determinants of the service sector has been recently explored, in contrast to the manufacturing sector, individual and contextual determinants are less identified. In this paper the authors use a large set of firm characteristics that might affect productivity in service firms.

La industria de servicios se ha convertido en un sector importante para el crecimiento económico, particularmente en los países en desarrollo. En este contexto, el objetivo de este artículo es comparar los determinantes de la productividad entre empresas que operan en sectores de servicios de baja y alta intensidad de conocimiento (LKIS y HKIS) en Ecuador.

Utilizamos un método de estimación de dos pasos. En primer lugar, estimamos la productividad de las empresas y, en segundo lugar, los determinantes de la productividad. Para esto, utilizamos una base de datos de panel no balanceado sobre los estados financieros de las empresas formales ecuatorianas de los años 2007 a 2018.

Nuestros resultados muestran que las empresas LKIS son ligeramente más intensivas en mano de obra en comparación con las empresas HKIS. Los determinantes de la productividad son similares entre las empresas HKIS y LKIS, excepto por las exportaciones y la concentración del mercado. Las empresas HKIS son más productivas cuando el nivel de competencia es bajo, lo que indica que un mayor poder de mercado está asociado con una mayor productividad. La influencia de los impuestos sobre la productividad depende del tamaño de la empresa. Las pequeñas y medianas empresas se ven más negativamente afectadas que las grandes empresas.

Los impuestos deben diseñarse considerando el tamaño de las empresas, ya que podrían afectar su productividad. Por lo tanto, impuestos más bajos para las pequeñas y medianas empresas pueden reducir la desigualdad entre el tamaño de las empresas. Además, el conocimiento que tienen las HKIS debe extenderse a otras empresas convirtiéndose en una externalidad positiva en lugar de una barrera de entrada.

A pesar de que los determinantes de la productividad del sector servicios se han explorado recientemente, en contraste con el sector manufacturero, los determinantes individuales y contextuales están menos identificados. En este artículo utilizamos un amplio conjunto de características de las empresas que podrían afectar la productividad en las empresas de servicios.