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This study explores the role of international tour operators as the agents assuming the governance and the upgrading of the tourism global value chains (TGVCs), with a special focus on their influence on the development of technological capabilities (TCs) in the hotel industry.

The data used in this article originates from a survey carried out in 2016 on Spanish small and medium-sized hotel companies. An ordinal regression analysis is employed to test the hypotheses proposed in this research.

This study finds that tour operators exert a positive effect on the technological upgrading process in the hotel industry by stimulating small and medium-sized enterprises (SMEs) to invest in TCs. The causal mechanisms through which these effects take place differ across the various stages of the relationship between hotel companies and tour operators.

The results have implications both for hotel management in terms of how hotels take advantage of technological upgrading to become more competitive, and for public administrations in terms of what measures can boost the development of hotel TCs in order to increase their added value.

To date, very few studies have analysed the tourism sector based on the influence on the development of TCs of SME hotels by combining GVC concepts and the resource-based view. It is also the first time that the causal mechanisms are shown to explain such influences.

The aim of this paper is to compare the particular characteristics of industrial SMEs in low‐ and high‐income regions from the perspective of their “entrepreneurial quality”.

Based on three groups of factors, (personal characteristics of entrepreneurs, entrepreneurial orientation and productive dependence of firms), which define entrepreneurial quality (EQ), the empirical analysis is focused on testing whether industrial SMEs in three Spanish regions with low per capita income present different EQs to those of industrial SMEs in three other Spanish regions with high per capita income. Data was obtained from a survey addressed to the person in the role of entrepreneur in each of these firms. Since the dependent variable is dichotomous, the logistic regression model is applied in this study.

Results show there is a relationship between the regional levels of development and the entrepreneurial quality of the industrial SMEs. In low‐income regions, the level of EQ is lower due to several factors. Firstly, these entrepreneurs have lower educational background, a lack of previous experience, and are more often led by pushing motivations; secondly, these industrial SMEs have lower entrepreneurial orientation when measured through innovation and proactiveness; finally, relations between firms are characterized by a higher productive dependence.

This study offers a significant contribution by specifying the concept of EQ and its relationship with the degree of economic development. Likewise, a policy implication derived from the results is the need to improve the human capital of entrepreneurs in low‐income regions.

Rainfall simulators are used on experimental hydrology, in areas such as, e.g., urban drainage and soil erosion, with important timesaving when compared to real scale hydrological monitoring. The purpose of this paper is to contribute to increase the quality of rainfall simulation, namely, for its use with scaled physical models.

Two pressurized rainfall simulators are considered. M1 uses three HH-W 1/4 FullJet nozzles under an operating pressure of 166.76 kPa and was tested over a 4.00 m length by 2.00 m width V-shaped surface. M2 was prepared to produce artificial rainfall over an area of 10.00 m length by 10.00 m width. The spatial distribution of rainfall produced from a single nozzle was characterized in order to theoretically find the best positioning for nozzles to cover the full 100 m² area with the best possible rainfall uniformity.

Experiments with M1 led to an average rainfall intensity of 76.77-82.25 mm h⁻¹ with a 24.88 per cent variation coefficient and a Christiansen Uniformity Coefficient (CUC) of 78.86 per cent. The best result with M2 was an average rainfall intensity of 75.12-76.83 mm h⁻¹ with a 21.23 per cent variation coefficient and a CUC of 83.05 per cent.

This study contributes to increase the quality of artificial rainfall produced by pressurized rainfall simulators.

M2 is the largest rainfall simulator known by the authors worldwide. Its use on rainfall-runoff studies (e.g. urban areas, erosion, pollutant transport) will allow for a better understanding of complex surface hydrology processes.