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ABSTRACT Acting with a broad spectrum in mind leads to a landscape of certainty, which is why its application in Mexican MSMEs is a priority for economic evolution, through the best strategies it is possible to be a unique offerer, endowed with competitive advantages; that is why the objective of this analysis is to determine the current focus and research trends of technological strategies applied to MSMEs globally in order to direct future research towards a path focused on the best practices with application in Mexico; based on a review of the current state of the art and a prospection of future trends using a co-occurrence analysis, a remarkable synergy between MSMEs-Technological strategies-Innovation-Sustainability-Technological Inclusion has been identified, which has given rise to several assertions among which stand out: the importance of applying technological strategies to MSMEs with replicability effect, the current scenario of disadvantage in relation to increased global competitiveness, the use of best practices applied by current research leaders and the orientation of a government to achieve revolutionary change. RESUMEN Actuar con una perspectiva de amplio espectro conduce a un panorama de certeza, razón por la cual su aplicación en las Micro, Pequeñas y Medianas Empresas (MIPYMES) mexicanas es una prioridad para la evolución económica. A través de las mejores estrategias, es posible ser un oferente único, dotado de ventajas competitivas; por eso, el objetivo de este análisis es determinar el enfoque actual y las tendencias de investigación de estrategias tecnológicas aplicadas a las MIPYMES a nivel mundial, con el fin de dirigir futuras investigaciones hacia un camino enfocado en las mejores prácticas con aplicación en México. Con base en una revisión del estado actual del arte y una prospección de tendencias futuras utilizando un análisis de co-ocurrencia, se ha identificado una notoria sinergia entre las MIPYMES, las estrategias tecnológicas, la innovación, la sostenibilidad y la inclusión tecnológica. Esto ha dado lugar a varias afirmaciones, entre las que destacan: la importancia de aplicar estrategias tecnológicas a las MIPYMES con efecto replicable, el escenario actual de desventaja en relación con el aumento de la competitividad global, el uso de las mejores prácticas aplicadas por los líderes actuales en investigación y la orientación de un gobierno para lograr un cambio revolucionario.

Consumer behavior models make it possible to visually present in charts researched entities and the processes they go through, as well as the changes which occur should some variables which affect those processes change. The objective of this paper is to design a meaningful model which may be employed to describe in detail consumer behavior in the process of purchasing energy. The subject of the research is energy consumers, while its objects are the models which could be employed to describe consumer behavior when consuming energy. The analysis we conducted indicated that in order to accomplish our objective we need to account for emotional responses, norms and social factors and major economic variables (prices, incomes, prices of substitute goods).

Environmental pollution liability insurance is becoming increasingly important for China to achieve its emission reduction targets. Insurance pricing is a crucial factor restricting the market share of environment pollution liability insurance, from the perspective of the Black–Scholes pricing model, which in turn has influenced the solvency of insurance companies in China. Firstly, this study analyzes the problems existing in compulsory liability insurance for environmental pollution in China. It proceeds with analyzing the price of compulsory environmental pollution liability insurance using the Black–Scholes pricing model, and derives a high premium insurance rate of 2.44%. Moreover, it performs a multivariate regression analysis using the asset and liability data, taken from the annual report, to identify three key factors affecting the solvency adequacy ratio, namely, capital debt ratio, reflecting the company asset structure; net interest rate on assets, reflecting the asset scale with actual solvency; and claim ratio, reflecting the business quality. Based on the results of regression analysis and robustness test for the China Insurance Clauses (CIC) company, People’s Insurance Company of China (PICC), and Asia-Pacific Property & Casualty Insurance (API) company, it is shown that the effect of total asset, total debt, capital debt ratio, claim ratio, and net interest rate on assets on the solvency adequacy ratio is significant, with respect to the size of the coefficients. Based on the Black–Scholes pricing model found in the previous cycle of liability insurance, and keeping in view the existing problems of environmental pollution liability insurance expenditure, this paper presents suggestions that are conducive to improving the solvency of insurance companies in China.

In the light of The Paris Agreement (COP 21), global leaders reached a consensus to curtail the increase in global temperature up to 2.0 °C ideally 1.5 °C pre-industrial level. Likewise, it has become a pathway to accomplish long-term goals of achieving carbon neutrality. In this regard, this paper aims to explore the role of green process innovation and environmental orientation toward environmental performance for achieving the long-term goal of carbon neutrality. In addition, this paper also discovers a mediating role of green competitive advantage in said context. Using data from a survey among managers of equipment manufacturing sector, the study employed structural equation modeling technique and found that green process innovation, environmental orientation and green competitive advantage significantly influence environmental performance. Subsequently, mediation analysis indicated that green competitive advantage partially mediates the relation from green process innovation and environmental orientation to environmental performance. In light of the carbon neutrality targets, the study highlight that improving environmental performance through green process innovation and environmental orientation can be a way-forward for manufacturing sector to play its role to achieve carbon neutrality. The study concludes with theoretical and practical implications.

AbstractProfessional and scientific networks built around the production of sweet cherry (Prunus avium L.) led to the collection of phenology data for a wide range of cultivars grown in experimental sites characterized by highly contrasted climatic conditions. We present a dataset of flowering and maturity dates, recorded each year for one tree when available, or the average of several trees for each cultivar, over a period of 37 years (1978–2015). Such a dataset is extremely valuable for characterizing the phenological response to climate change, and the plasticity of the different cultivars’ behaviour under different environmental conditions. In addition, this dataset will support the development of predictive models for sweet cherry phenology exploitable at the continental scale, and will help anticipate breeding strategies in order to maintain and improve sweet cherry production in Europe.

Bulk products of crystalline Bi2Se3-xTex alloys (x =0.0, 0.1, 0.3, 0.5) were prepared using simple melting synthesis. Crystalline features, microstructure, and surface morphologies of the synthesized samples were examined via X-ray diffraction, scanning electron microscope, and energy dispersive X-ray spectrometer. Elemental distribution was studied by energy dispersive analysis of X-ray spectroscopy. Polycrystalline of rhombohedral crystal structure was observed for the concerned samples. Perfect crystallinity and micro-scalability of the prepared were also reflected by the physic-chemical properties of each sample. Thermal behavior was studied throughout differential scanning calorimetry and thermo-gravimetric analysis showing that the samples are of high stability over high temperature range. Physic-chemical properties were determined in terms of experimental density. These properties were compactness value, molar volume and the percentage of free volume. Density of Bi2Se3 alloy was obtained at 7.37 gm/cm3. The Te doping enhanced the density of the Bi2Se3-xTex system. The most Te doped alloy showed density of 9.018 gm/cm3. All other physic-chemical properties showed strong dependence on the Tea amounts in the system.

The paper deals with the modeling and comparison of the performance of photovoltaic (PV) generators with panels from different technologies. The generators are part of an experimental platform at the Technical University of Sofia and operate in real weather conditions. The modeling of the PV modules is based on the Durisch's model using two approaches. The comparison of the models with measured data shows good agreement. We observe that a limited number of characteristic days can be used for the modeling of the PV panels. The inverter's model is based on the manufacturer data. The comparison with the measured data shows good coincidence. Finally the combination of modules' and inverter models is compared with experimental data and we observe a good level of overlap.