（Institute of Quality Development Strategy ,Wuhan University;
Macro-Quality Management Coordinative Center of Hubei Province）
Abstract： In this paper, pollution is introduced into the enterprise Cobb-Douglas production function as an input factor, and the relationship between pollution and labor productivity is deduced on the basis of the interrelationship between enterprisesso as to establish the corresponding measurement model. The 2016 CEES data are used and matchedwith city PM2.5 data to estimate the impact of the haze on labor productivity among different skilled employees. The study finds that the labor productivity of all employees decrease by 0.14% on average for each unit of increase of PM 2.5, with the labor supply unchanged. Furthermore, different behavior is observed on different skilled workers facing impacts from PM 2.5 in terms of their labor productivity. As a concrete example, more highly skilled workers are, unfortunately, found to be more susceptible to air pollution.To be more specific,firstly, workers in different positions exhibit variations in response, i.e. the labor productivity decreases by 0.1% , 0.14% and 0.39% among front-line workers，managers and technical staff respectively. Compared to front-line workers, managers and technical staff are more prone to any injuryby PM2.5 pollution. And secondly, measurement by different lengths of education reveals that the more educated employees are more likely to be adversely affected. The conclusion of this paper also provides an explanation for the migration of urban population in China in terms of their economic reasons. Air pollution has a greater impact on more highly skilled employees, who are better able to choose to work in a betternatural environment. Any city, therefore, will have to enhance its environmental protection measures if it chooses to become or remain competitive in attracting more professional talents,and the market mechanism needs to be well utilized for the successful‘green transformation’of the country.
Key Words： Hale; Health Level; Environinental Quality; Labor Produltivity