Kyushu University · 경제학
히데미치 후지이 교수의 연구실은 환경경제학과 기술혁신 분석을 융합한 연구를 중심으로, 산업 및 금융 부문의 생산성, 효율성, 환경 영향을 종합적으로 평가합니다. 특히 다중 환경 오염물질을 고려한 생산성 분석과 효율성 평가 모델(예: 가중치가 부여된 루소스 방향 거리모형)을 응용해 중국, 유럽, 미국, 일본의 산업·금융·림업·생명공학 분야의 지속가능성 문제를 다룹니다. 정책 효과, 기술 혁신, 투자 및 기술 개발의 영향을 분해 분석함으로써 실질적인 정책 제언을 도출합니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Abstract The objective of this study is to calculate and decompose productivity incorporating multi‐environmental pollutants in C hinese industrial sectors from 1992 to 2008. We apply a weighted Russell directional distance model to calculate productivity from both the economic and environmental performance. The main findings are: (1) C hinese industrial sectors increased productivity, with the main contributing factors being labor saving prior to 2000; (2) The main contributing factors for prod
The objective of this study is three-fold. First we estimate and analyse bank efficiency and productivity changes in the EU28 countries with the application of a novel approach, a weighted Russell directional distance model. Second, we take a disaggregated approach and analyse the contribution of the individual bank inputs on bank efficiency and productivity growth. Third, we test for convergence in EU28 bank productivity as well as in the inefficiency of individual bank inputs. We find that ban
This study analyzes industrial wastewater management efficiency using a Chinese provincial dataset from 2004 to 2014. The weighted Russell directional distance model is used to evaluate the efficiency of management practices. Determinants analysis was conducted based on governmental policy, pollution abatement, and market factors to identify the main drivers of industrial wastewater management efficiency in China. The results indicate that the wastewater management efficiency improved in the eas
Forest ecosystem services are fundamental for human life. To protect and increase forest ecosystem services, the driving factors underlying changes in forest ecosystem service values must be determined to properly implement forest resource management planning. This study examines the driving factors that affect changes in forest ecosystem service values by focusing on regional forest characteristics using a dataset of 47 prefectures in Japan for 2000, 2007, and 2012. We applied two approaches: a