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The purpose of this paper is to evaluate empirically the relationship between workforce age, wage and productivity at the firm level.

Panel data techniques are applied to Belgian data on private sector workers and firms during 1999‐2006.

Results (robust to various potential econometric issues, including unobserved firm heterogeneity, endogeneity and state dependence) suggest that older workers are significantly less productive than prime age and young workers. In contrast, the productivity of middle‐aged workers is not found to be significantly different compared to young workers. Findings further indicate that average hourly wages within firms increase significantly with workers’ age. Overall, this leads to the conclusion that young (older) workers appear to be “underpaid” (“overpaid”).

These findings contribute to the growing literature on how the workforce age structure affects productivity and wages.

The purpose of this paper is to introduce this special issue on work organization, performance and health.

The authors provide a general review of the literature and describe the main findings of the papers appearing in this special issue.

This issue provides new evidence regarding the impact of work organization (essentially defined in terms of payment methods, teamwork, workforce age structure and labour contracts) on performance (measured through employment, productivity and sickness absenteeism indicators). It also sheds more light on the determinants of workers’ health by gender, with particular attention to working conditions and mobbing.

The papers collected in this special issue provide some fine examples of recent work at the crossroads of health and personnel economics.

In the hybrid electricity market consisting of renewable and conventional energy, the generation output of renewable power is uncertain because of its intermittency, and the power market demand is also fluctuant. Meanwhile, there is fierce competition among power producers in the power supply market and retailers in the demand market after deregulation, which increases the difficulty of renewable energy power grid-connection. To promote grid-connection of renewable energy power in the hybrid electricity market, the authors construct different contract decision-making models in the “many-to-many” hybrid power supply chain to explore the pricing strategy of renewable energy power grid-connecting.

Considering the dual-uncertainty of renewable energy power output and electricity market demand, the authors construct different decision-making models of wholesale price contract and revenue-sharing contract to compare and optimize grid-connecting pricing, respectively, to maximize the profits of different participants in the hybrid power supply chain. Besides, the authors set different parameters in the models to explore the influence of competition intensity, government subsidies, etc. on power pricing. Then, a numerical simulation is carried out, they verify the existence of the equilibrium solutions satisfying the supply chain coordination, compare the differences of pricing contracts and further analyze the variation characteristics of optimal contract parameters and their interaction relations.

Revenue-sharing contract can increase the quantity of green power grid-connection and realize benefits Pareto improvement of all parties in hybrid power supply chain. The competition intensity both of power supply and demand market will have an impact on the sharing ratio, and the increase of competition intensity results in a reduction of power supply chain coordination pressure. The power contract price, spot price and selling price have all been reduced with the increase of the sharing ratio, and the price of renewable power is more sensitive to the ratio change. The sharing ratio shows a downward trend with the increase of government green power subsidies.

On the basis of expanding the definition of hybrid power market and the theory of newsvendor model, considering the dual-uncertainty of green power generation output and electricity market demand, this paper builds and compares different contract decision-making models to study the grid-connection pricing strategy of renewable energy power. And as an extension of supply chain structure types and management, the authors build a “many-to-many” power supply chain structure model and analyze the impact of competition intensity among power enterprises and the government subsidy on the power grid-connecting pricing.