The effects of R&D investment on innovation such as patents and intangible assets, and the effect on the corporate performance such as revenue and profit growth, were analyzed using path analysis. In particular, this study compared and analyzed the performances of non-cooperative R&D and cooperative R&D. The results of this study are summarized as follows. First, R&D investment has a significant impact on innovation performance. This supports the existing research results. Second, patents have a significant impact on intangible asset growth. Third, in the case of corporate groups carrying out cooperative R&D, intangible asset growth forms a significant causal relationship with revenue growth. Fourth, in case of cooperative R&D, intangible asset growth has a significant mediating effect between patent and revenue growth. Like the existing research, the results of this research support the innovation performance of R&D investment. It also supports the existing argument that the results of cooperative R&D are more favorable to increase corporate value. However, unlike the existing research, we found a path leading to increased revenue through patents and intangible assets, and confirmed that such a path is likely to be achieved through cooperative R & D rather than internal R&D.

The growth and employment effects of R&D investment were analyzed according to business size, export value and manufacturing sectors so as to suggest improvement directions for effective industry policies. The effect of R&D investment was considered simultaneously from the two perspectives of growth and employment effect, and the causality analysis was carried out by using a path analysis. The result of the path analysis confirmed significant differences in the growth effect of R&D investment depending on business size. However, the effect of increasing employment was difficult to obtain statistically significant results for any various combinations of business size and export value. This is a mixture of directions for the effects of R&D investment on employment, which could be due to the failure to consider appropriate time lags between investment and effect. Efficiency analysis by industry sectors confirmed significant differences in efficiency depending on business size, but differences depending on export value were difficult to identify. In order to derive improvement policy by industry sector according to business size and export value, the direction of selective support policy and universal support policy was derived for six industry groups by combining the return to scale in the efficiency analysis and R&D concentration. Hirschman-Herfindahl index is used for calculating R&D concentration.

As S. Korea is becoming an “aged society”, workers in the country would be exposed to higher risk of workplace injuries due to their reducing work abilities as they are getting old. To identify the relationship between the work ability and the incident rate of workplace injuries, the work ability index (WAI) scores were surveyed from 409 workers occupied in different manufacturing industries reside on north GyoengBuk area. The workplace injury statistics in the year of 2010 for the corresponding industries were analyzed and summarized with the WAI scores by age groups, years of service, and sizes of business. The results showed the WAI scores of the workers occupied in the higher risk of workplace injury was lower than that of the workers of the lower risk. It means the lower the WAI score, the higher the chance of being injured during the task. It is concluded that appropriate correlation exists between the WAI scores of workers and the incident rate of workplace injury. It is recommended to administrate individual work abilities of aged workers in order to keep low rate of workplace injuries in upcoming aged and highly aged society.

Desorption reaction characteristics of the used activated carbons collected from manufacture of rubber and plastics products in Shiwha/Banwal industrial complex were investigated. Desorption reactions were analyzed based on the data obtained from a thermogravimetric analyzer. Activation energies and reaction orders for desorption reaction characteristics of the used activated carbons were estimated by employing the Friedman method and the Freeman-Carroll method. It was found that the activation energies were 24.7∼41.3 kJ/㏖ in the Friedman method and 13.9∼24.4 kJ/㏖ in the Freeman-carroll method, and reaction orders were 0.3∼1.4.

Desorption characteristics of waste activated carbons collected from chemicals manufacturing industries in Shiwha/Banwal industrial complex were investigated. Activated carbons were decomposed in a thermogravimetric analyzer (TGA) at 513K with heating rate of 10 ℃/min under nitrogen atmosphere. Activation energies and reaction orders for desorption, from the waste activated carbon were estimated by employing Friedman method and Freeman-Carroll method. It was found that the reaction orders of desorption in waste activated carbons were 0.27-1.69, and activation energies were 15.2-45.7 kJ/mol in Friedman method and 13.7-17.1 kJ/mol in Freeman-Carroll method.

According to “Korea Environment Corporation (KECO): Statistical data of specified waste generation and treatment,” the amount of designated waste generated in 2015 was 4,691,532 tons, which is 51.7% higher than the 3,092,591 tons generated in 2005, and the annual output is steadily increasing by 3.25%. Therefore, in order to properly manage the specified wastes, it is necessary to divide them according to the type of industry and waste type and to evaluate the trend of specified waste generation in advance and establish a specified waste management plan. However, due to the statistical data collection and administrative procedures, the timing of the publication of national statistical data is somewhat delayed after the actual generation of specified waste. Since the “National Waste Comprehensive Plan” assumes that GDP and manufacturing output will increase by 4% every year and predicts the amount of specified waste generation in the future, there is a great deal of pressure to use this in the actual field. In this study, we analyzed the correlation between the production index, which is an economic index indicating the change in the output of the products produced by the industry, and the specified waste generation amount. Based on the actual production index, the specified waste statistics for 2017 were predicted and compared with the estimated amount and the actual amount for the 2010 ~ 2015 period.

급격한 경제적･사회적 변화에 따라 제조업에서 발생하는 폐기물의 종류와 발생량 역시 다양하고 복잡하게 변화하고 있다. 사업장폐기물은 위해성에 따라 사업장일반폐기물과 지정폐기물로 분류되며, 지정폐기물은 사업장폐기물 중 주변 환경을 오염시킬 수 있거나 오염성 폐기물 등 인체에 위해를 줄 수 있는 유해성분을 지니고 있는 폐기물로써, 적정한 처리를 위해 관리 및 감시 등의 조치가 필요하다. 이러한 이유로 폐기물관리법에서는 올바로시스템을 통하여 지정폐기물의 발생량과 처리량 통계조사를 1년마다 실시토록 하고 있다. 따라서 본 연구에서는 지정폐기물 통계조사를 효과적으로 활용하기 위하여 물질의 흐름을 분석하여 정량적이고 체계적으로 평가하였다. 올바로시스템를 통하여 통계자료를 수집하였으며 2007년에서 2012년 사이의 자료는 통계방식이 다소 상이함으로 2005년과 2015년에 대하여 발생량과 처리량을 비교 분석하였다. 이에 본 연구에서는 국내 제조업에서 발생하는 지정폐기물에 대한 업종별 물질흐름분석을 통해 주요 발생물질과 발생원을 파악하고 지정폐기물 관리 및 정책 수립의 기초자료를 제공을 목적으로 한다.