Résumé
OBJECTIVE:To investigate the profitability of listed pharmaceutical enterprises in China,and to investigate the ba-sic profitability path. METHODS:With the help of DuPont financial analysis system,the financial data of the listed companies and other manufacturing industry during 2007-2013 were collected and compared in terms of the return on equity(ROE),profit margin (PM),asset turnover (ATO) and equity multiplier (EM),etc. RESULTS & CONCLUSIONS:During 2007-2013,average ROE and PM of listed pharmaceutical companies both were higher than those of other manufacturing industry(10.00% vs. 6.40%, 11.50% vs. 6.49%);while average ATO and EM were lower than other manufacturing industry (0.65 vs. 0.73,1.90 vs. 2.19), with statistical significance(P<0.05). It has advantages in core earnings and product profitability while disadvantage in asset turn-over and financial leverage for the listed pharmaceutical companies. Listed pharmaceutical companies’gross margin was higher (42.87% vs. 22.07%),but was offset by the higher ratio of expenses to sales(18.24% vs. 5.61%)and insufficient utilization ratio of circulating assets. To change this situation,listed pharmaceutical enterprises should focus on circulation cost saving and the im-provement of assets operation ability,especially enhancing the utilization ratio of current assets.
Résumé
OBJECTIVES: Geographic Information Systems (GIS) is a powerful tool for assessing exposure in epidemiologic studies. We used GIS to determine the geographic extent of contamination by perfluorooctanoic acid, C8 (PFOA) that was released into the environment from the DuPont Washington Works Facility located in Parkersburg, West Virginia. METHODS: Paper maps of pipe distribution networks were provided by six local public water districts participating in the community cross-sectional survey, the C8 Health Project. Residential histories were also collected in the survey and geocoded. We integrated the pipe networks and geocoded addresses to determine which addresses were serviced by one of the participating water districts. The GIS-based water district assignment was then compared to the participants' self-reported source of public drinking water. RESULTS: There were a total of 151,871 addresses provided by the 48,800 participants of the C8 Health Project that consented to geocoding. We were able to successfully geocode 139,067 (91.6%) addresses, and of these, 118,209 (85.0%) self-reported water sources were confirmed using the GIS-based method of water district assignment. Furthermore, the GIS-based method corrected 20,858 (15.0%) self-reported public drinking water sources. Over half (54%) the participants in the lowest GIS-based exposure group self-reported being in a higher exposed water district. CONCLUSIONS: Not only were we able to correct erroneous self-reported water sources, we were also able to assign water districts to participants with unknown sources. Without the GIS-based method, the reliance on only self-reported data would have resulted in exposure misclassification.