In the modern scientific literature, there is currently no statistically confirmed significant relationship between amount of innovation costs companies and effectiveness their financial economic activities. The fact that environmental conditions for functioning national systems favorable corporate R&D are a necessary, but not sufficient, condition entrepreneurial business structures to mai...

Considering the significance of green governance in economic restructuring and technology revolution, this study examines impact China’s recent policies their implications various regions; it also new models, methods, development directions for future. Green efficiency spatial patterns have been studied through 2008–2018 data using a three-stage generalized panel Data Envelopment Analysis (DEA)...

The aim of this paper is to use the concept of the metafrontier function to study the determination of efficiency differentials and Technological Gap Ratio (TGR) on wheat production in Khorasan Razavi province. In this study, we used the metafrontier function and group frontier based on the concept of Stochastic Nonparametric Envelopment of Data analysis (StoNED). The data used in this stud...

The purpose of the article is to substantiate the theoretical positions and develop practical recommendations for the development of tools for analytical assessment of the competitiveness of an enterprise, taking into account the influence of the corruption component. It has been established that the main inalienable structural components of the analytical assessment of the competitiveness of e...

Hydrothermal processes in the Earth’s crust can result in ore deposits characterized by high concentrations of metals with fractal or multifractal properties. This paper shows that stream sediments in the neighborhoods of ore deposits also can have singular properties for ore-mineral and associated toxic trace elements. We propose a new local singularity mapping method for assembling element co...

We present sufficient convergence conditions for two-step Newton methods in order to approximate a locally unique solution of a nonlinear equation in a Banach space setting. The advantages of our approach under the same computational cost over other studies such as [9–25] for the semilocal convergence case are: weaker sufficient convergence conditions, more precise error bounds on the distances...

Evolutionary multi-objective algorithms are widely considered to have two goals: convergence towards the true pareto front and maintaining a diverse set of solutions. Here we are primarily concerned with the first goal of convergence, in particular when one or more variables must converge to a common value. Using a well-known test suite, we discuss the difficulties that are currently impeding c...

This paper analyses the effects on economic agents’ behaviour of an innovative environmental protection mechanism that the Public Administration of a tourist region may adopt to attract visitors while protecting the environment. On the one hand, the Public Administration sells to the tourists an environmental call option that gives them the possibility of being (partially or totally) reimbursed...

The inverted generational distance (IGD) is a metric for assessing the quality of approximations to the Pareto front obtained by multi-objective optimization algorithms. The IGD has become the most commonly used metric in the context of many-objective problems, i.e., those with more than three objectives. The averaged Hausdorff distance and IGD are variants of the IGD proposed in order to overc...