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The topic is the construct of interactive vulnerability in buyer‐seller relationships based upon mutual time‐ and relationship‐dependencies. The research is based upon a selection of focal dyads between a vehicle manufacturer and its most important suppliers. The principal contribution is a framework of operationalization and analysis of the construct of interactive vulnerability and an empirical illustration of interactive vulnerability in the automotive industry. A methodological contribution of the study is its dyadic approach of vulnerability in buyer‐seller relationships. Theoretical and managerial implications, as well as suggestions for further research, are provided.

The purpose of the chapter is to test the hypothesis that food safety (chemical) standards act as barriers to international seafood imports. We use zero-accounting gravity models to test the hypothesis that food safety (chemical) standards act as barriers to international seafood imports. The chemical standards on which we focus include chloramphenicol required performance limit, oxytetracycline maximum residue limit, fluoro-quinolones maximum residue limit, and dichlorodiphenyltrichloroethane (DDT) pesticide residue limit. The study focuses on the three most important seafood markets: the European Union’s 15 members, Japan, and North America.Our empirical results confirm the hypothesis and are robust to the OLS as well as alternative zero-accounting gravity models such as the Heckman estimation and the Poisson family regressions. For the choice of the best model specification to account for zero trade and heteroskedastic issues, it is inconclusive to base on formal statistical tests; however, the Heckman sample selection and zero-inflated negative binomial (ZINB) models provide the most reliable parameter estimates based on the statistical tests, magnitude of coefficients, economic implications, and the literature findings. Our findings suggest that continually tightening of seafood safety standards has had a negative impact on exporting countries. Increasing the stringency of regulations by reducing analytical limits or maximum residue limits in seafood in developed countries has negative impacts on their bilateral seafood imports. The chapter furthers the literature on food safety standards on international trade. We show competing gravity model specifications and provide additional evidence that no one gravity model is superior.

Employment protection legislation defines social criteria according to which firms can dismiss workers. If firms evade the law, then negotiation about compensation begins. To reduce the legal and financial uncertainty often associated with ex post bargaining, the German government stipulate severance payments in the case of mutual agreements in law in 2004. This paper aims to examine whether social criteria affect the dismissal probability of workers.

The probability of receiving compensation and the factors determining the amount of severance payment are estimated when it comes to private negotiations about the termination of an employment contract. In addition, the effect of the reform of the employment protection legislation on the probability of receiving compensation and the amount of redundancy pay is analysed. A stepwise estimation strategy is developed to account for sample selection bias when examining which workers receive severance payments and the determinants of severance pay variation. Empirical evidence is provided using German panel data for the period 2000‐2006.

The paper shows that workers protected by law have the lowest probability of being dismissed. The expected severance payment and firm size increase the probability of receiving compensation while the amount of severance payment depends significantly on the way the employment relationship is dissolved. Contrary to the intention of the legislator, the reform increases the level of compensation.

The paper fills a gap in the literature by taking into account selectivity bias when estimating the probability of receiving redundancy pay and the size of compensation. The evidence also provides insights which may be useful for the ongoing discussion to reform employment protection legislation in Germany.

This research applies the construct of bullwhip effect in a non‐traditional context. It is explored in intra‐organisational echelons. It is argued that the bullwhip effect in a company's inventory management of inbound and outbound logistics flows depends in part upon the gap between the degree of speculation and postponement of business activities. It is also argued that the bullwhip effect is caused by the value adding of business activities in supply chains. The study shows that there is a potential bullwhip effect between companies’ inbound and outbound logistics flows, i.e. two internal stocking levels. A see‐saw model of the bullwhip effect, and a typology of the bullwhip effect in intra‐organisational echelons, are introduced. The term “reversed bullwhip effect” is also introduced. Finally, a model of the bullwhip effect‐scenarios in a dynamic business environment positions these contributions in a wider theoretical and managerial context.

This paper investigates the relationship between tenure and earnings using two different approaches utilising a matched employer‐employee sample. In the first approach a two step procedure is adopted where the tenure status is modelled as endogenous and subject to choice decision. In the second approach the effect of tenure on earnings is estimated by a system of simultaneous equations using three stage least squares. The results suggest the tenure is a significant determinant of earnings.

This study aims to introduce a methodology for optimal allocation of spinning reserves taking into account load, wind and solar generation by application of the univariate and bivariate parametric models, conventional intra and inter-zonal spinning reserve capacity as well as demand response through utilization of capacity outage probability tables and the equivalent assisting unit approach.

The method uses a novel approach to model wind power generation using the bivariate Farlie–Gumbel–Morgenstern probability density function (PDF). The study also uses the Bayesian network (BN) algorithm to perform the adjustment of spinning reserve allocation, based on the actual unit commitment of the previous hours.

The results show that the utilization of bivariate wind prediction model along with reserve allocation adjustment algorithm improve reliability of the power grid by 2.66% and reduce the total system operating costs by 1.12%.

The method uses a novel approach to model wind power generation using the bivariate Farlie–Gumbel–Morgenstern PDF. The study also uses the BN algorithm to perform the adjustment of spinning reserve allocation, based on the actual unit commitment of the previous hours.

This paper evaluates how the first job when individuals entered the labor market affects the probability of youth being currently employed in formal or informal work in Bangladesh.

The analysis is based on data from the ILO School-to-Work Transition Surveys. The authors use a full-information maximum likelihood approach to estimate a two-equation model, which accounts for selection into the labor market when estimating the impact of entry status on current work outcomes. The main equation outcome follows a multinomial distribution thus avoiding a priori assumptions about the level of individual’s utility associated with each work status.

The authors find that entering the labor market in a vulnerable employment position (i.e. contributing family work or self-employment) traps into vulnerable employment and prevents the transition to both informal and, especially, formal paid work. This finding holds when accounting for endogeneity of the entry status and it is valid both in the short and in the long run. Young women are less likely to enter the labor market, and once entered they are less likely to access formal paid wok and more likely to being inactive than young men. Low education anticipates the entry in the labor market, but it is detrimental for future employment prospects.

The findings indicate the presence of labor market segmentation between vulnerable and non-vulnerable employment and suggest the endpoint quality of the school-to-work transition is crucial for later employment prospects of Bangladeshi youth.

The purpose of this paper is to analyze the market potential of a locally produced and high quality food product (i.e. white bean “Mongeta Ganxet” (MG)) from Catalonia, Spain. Consumers' willingness to pay (WTP) for the product is elicited using a non‐hypothetical economic experiment and then the sensitivity of WTP values is analyzed with regard to additional information provided to participants that includes reference prices, leaflets and tasting. Finally, a sample‐selection model is estimated to assess the factors that significantly affect consumers' WTP for the product.

To elicit the willingness to pay a premium for the local food product, 90 subjects were invited to participate in a random nth price experimental auction. Before auctioning the product, participants were asked to complete a questionnaire about consumer attitudes and purchase habits.

Only 7 percent of participants are willing to pay a price higher than the minimum price from which the MG product may be purchased directly from a producer or the local producing market. Also, it was found that providing reference prices of substitute products (both conventional and alternative high quality white beans) positively affects WTP for the MG. Interestingly, however, provision of information on organoleptic, nutritional and cooking characteristics of the MG and product tasting do not significantly influence WTP. Finally, the level of consumption, the degree of knowledge about the product and the participants' previous experience increase the purchasing intention for the MG.

In contrast to traditional market research studies that use hypothetical methods, the authors use non‐hypothetical elicitation mechanism to elicit consumers' valuation for an important local food product in Catalonia, Spain. Since actual products and cash were used in the experiments, the authors provided the respondents with an incentive to reveal their true preferences and valuation for the product of interest. The authors also tested the effect of provision of certain types of information on WTP and analyzed the factors that significantly influence consumers' WTP for the product.

This research is based on a mail survey in the Swedish vehicle industry. It is concluded that the sub‐contractor and customer sourcing in the firms’ inbound and outbound logistics flows differ from each other. Furthermore, that there is no association between the sub‐contractor and customer sourcing in the firms’ inbound and outbound logistics flows. Finally, there is in part an association between the sub‐contractor and customer sourcing, and the occurrence of quantitative and qualitative disturbances in firms’ inbound and outbound logistics flows.

This research analyzes borrowers' credit utilization through prepayment behavior in peer-to-peer (P2P) lending. The authors investigate factors influencing the decision to prepay and assess the role of P2P lending as an alternative source of consumer credits.

The authors use individual loan-level data from the LendingClub, one of the largest P2P platforms in the USA. The authors use a Logit model and a sample selection model estimated by the two-stage Heckman method. The empirical analysis considers borrower-specific and loan-specific characteristics as well as macroeconomic factors.

The authors present a number of significant findings that can enhance understanding consumers' financing decisions. The authors offer evidence that borrowers are able to take advantage of cheaper loans offered by P2P lending to better manage credit card balance and consolidate debt. The authors find that borrowers tend to prepay P2P loans quickly when the aggregate cost of borrowing is low, suggesting that P2P lending offers an efficient alternative to obtain credit. This is particularly true for creditworthy borrowers that are able to take advantage of competing sources of finance. The authors' results provide evidence that P2P lending can improve consumers' optimal credit utilization.

P2P lending has grown exponentially and has become a significant credit supplier to consumers and small businesses. While the existing literature mostly focuses on default risks, prepayment has received much less attention. This research fills in the gap and investigates borrowers' prepayment behavior in P2P loans and the role of P2P lending as an alternative source of consumer credits.