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This study investigates whether higher catch rates near a marine protected area (MPA), and/or in other fishing areas within a choice set, attract more fishers. A survey conducted in the fishing grounds near an MPA located in south east of Mauritius in the Indian Ocean shows concentration of fishers in regions with lower catch rates. This contrasts with the predictions of the “fishing the line” hypothesis and the ideal free distribution (IFD) that fishers are likely to be attracted near the MPA with higher resource abundance.

Using the random utility model as the framework and the random parameter logit (RPL) model, the study attempts to explain spatial behaviour of fishers. Expected catch and catch variability are modelled using the Just and Pope (JP) production function. The study also estimates effort elasticities with respect to expected catch and catch variability and simulates the relocation of effort from area closure.

The paper concludes that higher catch does attract fishers but is a partial and very restrictive explanation of fishers' behaviour. The “fishing the line” hypothesis does hold to some extent, but it should not be taken for granted that rising catch rates in adjacent waters will increase fishing pressure. The paper concludes that factors such as catch variability, distance from homeport to fishing ground, potential physical risk and attitudes towards risk of fishers affect spatial behaviour of fishers and should be considered for the placement and size of MPAs. The study also finds that the responsiveness of effort to catch rates is lowest in areas which are already heavily fished and easily accessible.

The identification of fishing areas as complements (when fishing in one area increases fishing effort in another) and substitutes is valuable information for determining the placement and size of an MPA. A larger reserve is likely to have more displacement effect in this case than a smaller one. Therefore, a small or a network of a small reserve may be appropriate. The premise to select the site and size of the reserve is to avoid overconcentration of fishers in alternative fishing areas, which can be vulnerable to excessive fishing and unintended effects from fishers.

The paper contributes to an understanding of fishing behaviour and its impact on the configuration of marine reserves. It discusses the importance of effort elasticities to determine the placement and size of an MPA. Studies on this topic are very scanty in the Indian Ocean region. It also shows the application of location choice model, the RPL model and the JP production function in the fisheries sector for a small island.

Budget allocation on individual marketing efforts is a complex issue for managers. The purpose of this paper is to estimate the elasticities of individual marketing efforts to allocate budget by taking into consideration two brands in India.

Historical data on physical sales and various marketing efforts (advertising, sales force, promotion, distribution and price) have been collected for two brands. Double‐log regression model has been fitted on data to estimate the elasticity of sales to each effort. Subsequently, the estimated elasticities have been used to allocate budget on the individual marketing efforts in question.

Various interesting results have been observed, such as the sales force claimed the highest amount of budget for both the brands. Further, managers of both the brands are under‐spending on all the efforts except for advertising in the case of second brand.

The findings will provide insight into allocation of budget on individual marketing efforts objectively instead of subjectively, which dominates in the field of marketing.

This research captures the real‐world situations (rather than small scale lab‐studies or theoretical modeling) and will definitely add some value in marketing literature.

Advertising revenues are the primary source of income for cable television networks and the survival of a network strongly depends on the efficient management of its commercial inventory. Networks enter into advertising contracts that promise delivery of a certain number of impressions with specified demographic characteristics. However, the actual delivery of impressions is stochastic, and there is currently no systematic process to dynamically monitor and administer these contracts. This paper presents a model framework to manage this process through the efficient use of program promotions. Elements of the model are illustrated with data abstracted from an actual cable television network.

Describes the decision‐support system CAPPLAN. CAPPLAN has been developed for firms which sell their products through a salesforce to industrial customers or wholesalers and retailers. Explains that in such situations, it is common practice to negotiate the price based on guidelines provided by the sales management. Details how CAPPLAN offers a jointly optimal differentiation of prices and allocation of calling effort across account groups subject to both a limited production capacity and working‐time capacity, and also provides a parametric optimization of prices and calling effort for varying levels of production capacity. Reports how the system has been applied at an industrial photo laboratory selling the development of film and the production of prints through retailers, resulting in a substantial improvement in profits.

The purpose of this paper is to see the role of advertising in the middle of sales-price relationship of two entrepreneur brands in India.

Quarterly data on sales (in units), advertising (net of inflation) and price (net of inflation) have been compiled for two entrepreneur brands over a period 2007-2012. First, elasticity of price is estimated by regressing sales on price. Next, the response of price elasticity to advertising is captured using a semi-logarithmic regression model.

Results reveal that price and sales are inversely related and advertising influences price elasticity negatively.

Findings suggest that entrepreneurs/managers should allocate more funds to advertising and at the same time should charge a higher price point in order to increase revenue.

By showing a new way of how to measure the effectiveness of advertising beyond traditional ones (inform, persuade or remind) of two entrepreneur brands this research definitely adds some value in the literature of marketing.

This paper aims to explore market dynamics and strategic issues that contribute to a late entrant's success in achieving market leadership in the prescription (Rx) and over‐the‐counter (OTC) markets. In the Rx market, consumers must receive physicians' approval before purchasing the product. In the OTC market, consumers make the final drug choice.

Data on sales (both Rx and OTC) and direct‐to‐consumer advertising expenditures for nine gastrointestinal drug products were obtained covering a 17‐year period. Ordinary least squares regression was employed.

The findings show that late‐market entrants, despite existing challenges, can become market leaders. This applies to both the Rx and OTC markets, via varying mechanisms.

This study is unique in demonstrating the differential mechanism in achieving market success for late entrants in the Rx and OTC markets.

The purpose of this paper is to present an original mixed least squares method for solving problems in dynamic elasticity.

The proposed approach involves two different types of unknowns: velocities and stresses. The approximate solution to the dynamic elasticity equations is obtained via a minimization of a least squares functional, consisting of two terms: a term, which includes the squared residual of a weak form of the time rate of the constitutive relationships, expressed in terms of velocities and stresses, and a term, which depends on the squared residual of the equations of motion. At each time step the functional is minimized with respect to the velocities and stresses, which for the purpose of this study, are approximated by equal order piece-wise linear polynomial functions. The time discretization is based upon the backward Euler scheme. The displacements are computed from the obtained velocities in terms of a finite difference interpolation. The proposed theoretical formulation is given the general three-dimensional case and is tested numerically on the solution of one-dimensional wave equations.

To test the performance of the method, it has been implemented in an original computer code, using object-oriented logic and written from scratch. Two one-dimensional problems from the mathematical physics, with well-known exact analytical solutions, have been solved. The numerical examples include a forced vibrating spring, fixed at its both ends and a rod, vibrating under its own weight, when one of its ends is fixed and the other is traction-free. The performed convergence study suggests that the method is convergent for both: velocities and stresses. The obtained results show excellent agreement between the exact and analytical solutions for displacement modes, velocities and stresses. It is observed that this method appears to be stable for the different mesh sizes and time step values.

The mixed least squares formulation, described in this paper, serves as a basis for interesting future developments and applications to two and three-dimensional problems in dynamic elasticity.

This chapter introduces a model of efficiency-wage competition along the lines put forward by Hahn (1987). Specifically, I analyze a two-firm economy in which employers screen their workforce by means of increasing wage offers competing one another for high-quality employees. The main results are the following. First, using a specification of effort such that the problem of firms is well-behaved, optimal wage offers are strategic complements. Second, the symmetric Nash equilibrium can be locally stable under the assumption that firms adjust their wage offers in the direction of increasing profits by conjecturing that any wage offer above (below) equilibrium will lead competitors to underbid (overbid) such an offer. Finally, the exploration of possible labor market equilibria reveals that effort is counter-cyclical.

This study aims to specify whether heterogeneous reference-point-based aspirations are related to the cooperation levels of R&D alliance portfolios in a positive or negative (or nonlinear) way, and to unveil how cooperative behaviors evolve in recurrent project cooperation.

This study establishes a network containing a cooperation subnetwork and a project subnetwork based on patent data in the “deep learning” field to investigate how cooperative behaviors evolve in R&D alliance portfolios. A model of evolutionary games on complex networks is constructed to gain insight into the dynamic evolution of DMs’ strategies.

First, the heterogeneous aspirations of DMs can improve the cooperation level in R&D alliance portfolios. Second, compared to prudent DMs, aggressive DMs are more likely to choose the cooperation strategy, implying that an appropriate aspiration level nurtures cooperative R&D endeavors with partners. Third, the effects of effort complementarity, knowledge reorganization capabilities and cooperation supervision on cooperation are contingent on the distribution of DMs’ aspiration types.

Policymakers should identify aspiration types of DMs when screening partners. They can encourage partners to focus more on historical payoffs and establish relatively higher aspiration levels to improve the cooperation level. Developing highly detailed contracts becomes crucial when cooperating with firms that possess extensive knowledge reorganization capabilities.

This work contributes a theoretical framework for investigating cooperation in R&D alliance portfolios through the lens of evolutionary games on complex networks, thus revealing the effects of heterogeneous reference-point-based aspirations of DMs on R&D cooperation.

This paper explores the effects of fiscal policy in an economy with reciprocity in labor relations and fair wages, consumption taxes and a common income tax rate in place.

To this end, a dynamic general-equilibrium model with government sector is calibrated to Bulgarian data (1999–2018). Two regimes are compared and contrasted – the exogenous (observed) vs optimal policy (Ramsey) case. The focus of the paper is on the relative importance of consumption vs income taxation, as well as on the provision of utility-enhancing public services. Bulgarian economy was chosen as a case study due to its major dependence on consumption taxation as a source of tax revenue.

(1) The optimal steady-state income tax rate is zero; (2) the benevolent Ramsey planner provides the optimal amount of the utility-enhancing public services, which are now three times lower; (3) the optimal steady-state consumption tax needed to finance the optimal level of government spending is 18:7%.

This is the first study on optimal fiscal policy with reciprocity in labor relations.