• Journal of Korean Society of Environmental Engineers
• /
• v.35 no.6
• /
• pp.400-406
• /
• 2013

Water footprint means the direct and indirect water resource amount used for the life cycle of different goods, services and industries. In this study, the direct and indirect water resource consumption in industrial sectors were calculated by using water footprint evaluation method. As a result, agriculture and marine product industry takes part of 93% of whole water resource amount, showing the greatest amount of basic unit of water coefficient (637 $m^3/won$) following by petroleum and cool products industry of about 13 $m^3/won$. In the agriculture and marine product industry, the direct water consumption was only 25 billion $m^3$ compared to the indirect water, which is 130 billion $m^3$. The next highest industry was chemical product industry, which consists of 2 billion $m^3$ of the direct water and 4.5 billion $m^3$ of the indirect water consumption. In case of industries which have high direct water, it would be more effective to reduce amount of water related to the industry than to reduce water in actual process. This water footprint of each industry and evaluation method will be useful tool and method for development of national water management policy and regulation.

• Environmental and Resource Economics Review
• /
• v.14 no.2
• /
• pp.257-290
• /
• 2005

Korean energy use in industrial sector has increased more rapidly than other sectors during 1980~2000 periods. Relatively higher increases in industrial sector energy consumption raise questions whether government policy of rationalization of industrial energy use has been effective. In this study, we use 80-85-90 and 90-95-00 constant price input-output table to analyze increases in industrial energy use. Using an adjusted version of structural decomposition model introduced by Chen and Rose (1990), we decompose Changes of energy use into 17 elements. We classify entire industry sector into 32 sectors including four energy sectors (coal and coal products, refined petroleum, electricity and town gas). We then analyze changes of energy use by industrial level to check differences among industrial energy demand structures. Finally, we compare three industries, electronic product manufacturing, metal manufacturing and construction, that represent technology and capital intensive, energy and material intensive and labor and capital intensive industry. As results, we find that high energy using industries make the most effort to reduce energy use. Primary metal, petrochemical and mon-metal industries show improvements in elements such as energy and material productivity, energy and material imports, energy substitution and material substitutions towards energy saving. These results imply that although those industries are heavy users of energy, they put the best effort to reduce energy use relative to other industries. We find various patterns of change in industrial energy use at industrial level. To reduce energy use, electronic product manufacturing industry needs more effort to improve technological change element while construction industry needs more effort to improve material input structure element.