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Dr. Hidemichi Fujii
Faculty of Economics, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan

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Research Keywords & Expertise

0 Data Envelopment Analysis
0 Environmental Economics
0 Industrial Ecology
0 Productivity
0 decomposition analysis

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Productivity
decomposition analysis
Data Envelopment Analysis
environmental Kuznets curve
Environmental innovation
Toxic chemical substance management

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Journal article
Published: 10 March 2021 in Economic Analysis and Policy
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The continued development of artificial intelligence (AI) has changed production methods but may also pose challenges related to energy consumption; in addition, the effectiveness of AI differs across industries. Thus, to develop efficient policies, it is necessary to discuss the effect of AI adoption on energy intensity and to identify industries that are more significantly affected. Using data on industrial robots installed in 16 Chinese industrial subsectors from 2006 to 2016, this paper investigates both the effect of AI on energy intensity and the channel through which this effect is transmitted. The empirical results show, first, that boosting applications of AI can significantly reduce energy intensity by both increasing output value and reducing energy consumption, especially for energy intensities at high quantiles. Second, compared with the impacts in capital-intensive sectors (e.g., basic metals, pharmaceuticals, and cosmetics), the negative impacts of AI on energy intensity in labor-intensive sectors (e.g., textiles and paper) and technology-intensive sectors (e.g., industrial machinery and transportation equipment) are more pronounced. Finally, the impact of AI on energy intensity is primarily achieved through its facilitation of technological progress; this accounts for 78.3% of the total effect. To reduce energy intensity, the Chinese government should effectively promote the development of AI and its use in industry, especially in labor-intensive and technology-intensive sectors.

ACS Style

Liang Liu; Kun Yang; Hidemichi Fujii; Jun Liu. Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel. Economic Analysis and Policy 2021, 70, 276 -293.

AMA Style

Liang Liu, Kun Yang, Hidemichi Fujii, Jun Liu. Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel. Economic Analysis and Policy. 2021; 70 ():276-293.

Chicago/Turabian Style

Liang Liu; Kun Yang; Hidemichi Fujii; Jun Liu. 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel." Economic Analysis and Policy 70, no. : 276-293.

Commentary
Published: 28 January 2021 in Asian Economic Policy Review
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ACS Style

Hidemichi Fujii. Comment on “Transition of the Chinese Economy in the Face of Deep Greenhouse Gas Emissions Cuts in the Future”. Asian Economic Policy Review 2021, 16, 163 -164.

AMA Style

Hidemichi Fujii. Comment on “Transition of the Chinese Economy in the Face of Deep Greenhouse Gas Emissions Cuts in the Future”. Asian Economic Policy Review. 2021; 16 (1):163-164.

Chicago/Turabian Style

Hidemichi Fujii. 2021. "Comment on “Transition of the Chinese Economy in the Face of Deep Greenhouse Gas Emissions Cuts in the Future”." Asian Economic Policy Review 16, no. 1: 163-164.

Original research article
Published: 07 June 2020 in Risk Analysis
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Disasters often cause exogenous flow damage (i.e., the [hypothetical] difference in economic scale with and without a disaster in a certain period) to production (“supply constraint”). However, input-output (IO) analysis (IOA) cannot usually consider it, because the Leontief quantity model (LQM) assumes that production is endogenous; the Ghosh quantity model (GQM) is considered implausible; and the Leontief price model (LPM) and the Ghosh price model (GPM) assume that quantity is fixed. This study proposes to consider a supply constraint in the LPM, introducing the price elasticity of demand. This study uses the loss of social surplus (SS) as a damage estimation because production (sales) is less informative as a damage index than profit (margin); that is, production can be any amount if without considering profit, and it does not tell exactly how much profit is lost for each supplier (upstream sector) and buyer (downstream sector). As a model application, this study examines Japan's largest five earthquakes from 1995 to 2017 and the Great East Japan Earthquake (GEJE) in March 2011. The worst earthquake at the peak tends to increase price by 10–20% and decrease SS by 20–30%, when compared with the initial month's prices/production. The worst damage tends to last eight months at most, accumulating 0.5-month-production damage (i.e., the sum of [hypothetical] differences in SS with and without an earthquake [for eight months] is 50% of the initial month production). Meanwhile, the GEJE in the five prefectures had cumulatively, a 25-month-production damage until the temporal recovery at the 37th month.

ACS Style

Michiyuki Yagi; Shigemi Kagawa; Shunsuke Managi; Hidemichi Fujii; Dabo Guan. Supply Constraint from Earthquakes in Japan in Input–Output Analysis. Risk Analysis 2020, 40, 1811 -1830.

AMA Style

Michiyuki Yagi, Shigemi Kagawa, Shunsuke Managi, Hidemichi Fujii, Dabo Guan. Supply Constraint from Earthquakes in Japan in Input–Output Analysis. Risk Analysis. 2020; 40 (9):1811-1830.

Chicago/Turabian Style

Michiyuki Yagi; Shigemi Kagawa; Shunsuke Managi; Hidemichi Fujii; Dabo Guan. 2020. "Supply Constraint from Earthquakes in Japan in Input–Output Analysis." Risk Analysis 40, no. 9: 1811-1830.

Journal article
Published: 26 July 2019 in Journal of Environmental Management
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This study focused on 14 metal sectors of the 40 countries that are the largest CO2 emitters and developed a new analysis framework to estimate CO2 reduction potentials based on the Greenhouse Gas Protocol through efficiency improvement of the inefficient metal sector of these countries. The analysis framework was developed by combining a multi-regional input-output database with data envelopment analysis. We found that there were 20 inefficient countries in the basic iron and steel sector, which is the largest CO2 emitter among 14 metal sectors, and their efficiency improvements can contribute to reducing CO2 emissions by 354 Mt, accounting for 1.4% of the global CO2 emissions. We further proposed efficiency improvement schemes targeting the inefficient countries in order to help those countries to effectively reduce CO2 emissions according to their sectoral and national characteristics.

ACS Style

Hirotaka Takayabu; Shigemi Kagawa; Hidemichi Fujii; Shunsuke Managi; Shogo Eguchi. Impacts of productive efficiency improvement in the global metal industry on CO2 emissions. Journal of Environmental Management 2019, 248, 109261 .

AMA Style

Hirotaka Takayabu, Shigemi Kagawa, Hidemichi Fujii, Shunsuke Managi, Shogo Eguchi. Impacts of productive efficiency improvement in the global metal industry on CO2 emissions. Journal of Environmental Management. 2019; 248 ():109261.

Chicago/Turabian Style

Hirotaka Takayabu; Shigemi Kagawa; Hidemichi Fujii; Shunsuke Managi; Shogo Eguchi. 2019. "Impacts of productive efficiency improvement in the global metal industry on CO2 emissions." Journal of Environmental Management 248, no. : 109261.

Journal article
Published: 10 May 2019 in Energies
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By focusing on a distributed energy system that has been widely diffused for efficient utilization of renewable energy generation in recent years, this paper investigates the relationship between productivity growth and information and communications technology capital in the energy sector. Information and communications technology is a key factor in operating distributed energy systems in a way that balances energy supply and demand in order to minimize energy loss and to enhance capacity utilization. The objective of this study is to clarify the determining factors that affect productivity growth, focusing on three different information and communications technologies: information technology capital, communication technology capital and software capital. Our estimation sample covers energy sectors in 14 countries from 2000 to 2014. The results show that information technology and software capital contribute to increasing material productivity and capital productivity in the energy sector, respectively. Meanwhile, communication technology capital negatively affects these two productivity indicators.

ACS Style

Hidemichi Fujii; Akihiko Shinozaki; Shigemi Kagawa; Shunsuke Managi. How Does Information and Communication Technology Capital Affect Productivity in the Energy Sector? New Evidence from 14 Countries, Considering the Transition to Renewable Energy Systems. Energies 2019, 12, 1786 .

AMA Style

Hidemichi Fujii, Akihiko Shinozaki, Shigemi Kagawa, Shunsuke Managi. How Does Information and Communication Technology Capital Affect Productivity in the Energy Sector? New Evidence from 14 Countries, Considering the Transition to Renewable Energy Systems. Energies. 2019; 12 (9):1786.

Chicago/Turabian Style

Hidemichi Fujii; Akihiko Shinozaki; Shigemi Kagawa; Shunsuke Managi. 2019. "How Does Information and Communication Technology Capital Affect Productivity in the Energy Sector? New Evidence from 14 Countries, Considering the Transition to Renewable Energy Systems." Energies 12, no. 9: 1786.

Journal article
Published: 30 November 2018 in Technological Forecasting and Social Change
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Sustainable green technology is an important contributor to creating a sustainable society by simultaneously promoting environmental protection and economic development. This study examines the determinants of sustainable green technology invention in China, with a focus on the differences in green technology development priorities in each five-year plan period. This study uses patent publication data in a patent decomposition analysis framework. We find that sustainable green patent publications increased due to efficiency improvements, the prioritization of sustainable green patents, an increased R&D expenditure share and economic growth, especially during periods of gradual economic development in China. Additionally, we find that the relative priority of R&D shifted from renewable energy technology to pollution abatement and other sustainable green technology in the 12th five-year plan. The different R&D priority trends for sustainable green technologies among the five-year plans can be used to formulate effective policies that promote sustainable green technology invention.

ACS Style

Hidemichi Fujii; Shunsuke Managi. Decomposition analysis of sustainable green technology inventions in China. Technological Forecasting and Social Change 2018, 139, 10 -16.

AMA Style

Hidemichi Fujii, Shunsuke Managi. Decomposition analysis of sustainable green technology inventions in China. Technological Forecasting and Social Change. 2018; 139 ():10-16.

Chicago/Turabian Style

Hidemichi Fujii; Shunsuke Managi. 2018. "Decomposition analysis of sustainable green technology inventions in China." Technological Forecasting and Social Change 139, no. : 10-16.

Research article
Published: 14 August 2018 in Business Strategy and the Environment
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This study investigated the relationship between corporate efficiency and corporate sustainability to determine whether firms concerned about environmental, social, and governance (ESG) issues can also be efficient and profitable. We applied data envelopment analysis to estimate corporate efficiency and investigated the nonlinear relationship between corporate efficiency and ESG disclosure. Evidence shows that corporate transparency regarding ESG information has a positive association with corporate efficiency at the moderate disclosure level, rather than at the high or low disclosure level. Governance information disclosure has the strongest positive linkage with corporate efficiency, followed by social and environmental information disclosure. Moreover, we explored the relationship between particular ESG activities and corporate financial performance (CFP), including corporate efficiency, return on assets, and market value. We found that most of the ESG activities reveal a nonnegative relationship with CFP. These findings may provide evidence about voluntary corporate social responsibility strategy choices for enhancing corporate sustainability.

ACS Style

Jun Xie; Wataru Nozawa; Michiyuki Yagi; Hidemichi Fujii; Shunsuke Managi. Do environmental, social, and governance activities improve corporate financial performance? Business Strategy and the Environment 2018, 28, 286 -300.

AMA Style

Jun Xie, Wataru Nozawa, Michiyuki Yagi, Hidemichi Fujii, Shunsuke Managi. Do environmental, social, and governance activities improve corporate financial performance? Business Strategy and the Environment. 2018; 28 (2):286-300.

Chicago/Turabian Style

Jun Xie; Wataru Nozawa; Michiyuki Yagi; Hidemichi Fujii; Shunsuke Managi. 2018. "Do environmental, social, and governance activities improve corporate financial performance?" Business Strategy and the Environment 28, no. 2: 286-300.

Journal article
Published: 18 July 2018 in Applied Energy
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This study analyzed the relationship between urban CO2 emissions and economic growth applying the environmental Kuznets curve hypothesis. The objective of this study is to investigate how urban CO2 emissions and their composition have changed with urban economic growth, depending on city characteristics, using a dataset of metropolitan areas. We obtained data for 276 cities in 26 countries for the years 2000, 2005, and 2008. The dataset includes urban CO2 emissions, GDP, and population. Additionally, data regarding compact city variables are applied to determinants analysis using an econometric approach. The results demonstrate an inverted U-shape relationship between urban CO2 emissions and urban economic growth. Additionally, an inverted U-shape relationship is observed for the transport and residential & industry sectors. However, the turning points of each inverted U-shape curve varies. This result implies that we can better understand urban policies for reducing urban CO2 emissions by considering the characteristics of each sector.

ACS Style

Hidemichi Fujii; Kazuyuki Iwata; Andrew Chapman; Shigemi Kagawa; Shunsuke Managi. An analysis of urban environmental Kuznets curve of CO2 emissions: Empirical analysis of 276 global metropolitan areas. Applied Energy 2018, 228, 1561 -1568.

AMA Style

Hidemichi Fujii, Kazuyuki Iwata, Andrew Chapman, Shigemi Kagawa, Shunsuke Managi. An analysis of urban environmental Kuznets curve of CO2 emissions: Empirical analysis of 276 global metropolitan areas. Applied Energy. 2018; 228 ():1561-1568.

Chicago/Turabian Style

Hidemichi Fujii; Kazuyuki Iwata; Andrew Chapman; Shigemi Kagawa; Shunsuke Managi. 2018. "An analysis of urban environmental Kuznets curve of CO2 emissions: Empirical analysis of 276 global metropolitan areas." Applied Energy 228, no. : 1561-1568.

Journal article
Published: 01 July 2018 in Journal of Cleaner Production
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The prevention and recycling of food waste contribute to a circular economy due to improvements in resource efficiency and energy recovery. This study introduces a framework for evaluating the prevention and utilization of food waste using Japanese food industry data from 2008 to 2015. To elucidate the changes in the amount of unutilized food waste, this study applies a decomposition analysis framework that classifies five factors: waste prevention, food recycling, heat recovery, volume reduction, and production scale. The results show that the amount of unutilized food waste throughout the food industry decreased between 2008 and 2011, primarily due to three factors: increased food waste recycling, volume reduction, and a decrease in production scale. However, the key factors driving changes in food waste management varied by food industrial sectors. The primary drivers of the decline in unutilized food waste were recycling in the food manufacturing industry, waste prevention in the retail industry, and a decrease in production scale in the food service industry. Thus, policies for food waste management should account for the diversity of characteristics across food industries and the food waste management strategies employed.

ACS Style

Hidemichi Fujii; Yasushi Kondo. Decomposition analysis of food waste management with explicit consideration of priority of alternative management options and its application to the Japanese food industry from 2008 to 2015. Journal of Cleaner Production 2018, 188, 568 -574.

AMA Style

Hidemichi Fujii, Yasushi Kondo. Decomposition analysis of food waste management with explicit consideration of priority of alternative management options and its application to the Japanese food industry from 2008 to 2015. Journal of Cleaner Production. 2018; 188 ():568-574.

Chicago/Turabian Style

Hidemichi Fujii; Yasushi Kondo. 2018. "Decomposition analysis of food waste management with explicit consideration of priority of alternative management options and its application to the Japanese food industry from 2008 to 2015." Journal of Cleaner Production 188, no. : 568-574.

Journal article
Published: 01 June 2018 in Economic Analysis and Policy
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This study is the first to apply a decomposition framework to clarify the determinants of AI technology invention. Consisting of 13,567 AI technology patents for the 2000-2016 period, our worldwide dataset includes patent publication data from the U.S., Japan, China, Europe, and the Patent Cooperation Treaty (PCT). We find that priority has shifted from biological and knowledge-based models to specific mathematical models and other AI technologies, particularly in the U.S. and Japan. Our technology type and country comparison shows that the characteristics of AI technology patent publication differ among companies and countries.

ACS Style

Hidemichi Fujii; Shunsuke Managi. Trends and priority shifts in artificial intelligence technology invention: A global patent analysis. Economic Analysis and Policy 2018, 58, 60 -69.

AMA Style

Hidemichi Fujii, Shunsuke Managi. Trends and priority shifts in artificial intelligence technology invention: A global patent analysis. Economic Analysis and Policy. 2018; 58 ():60-69.

Chicago/Turabian Style

Hidemichi Fujii; Shunsuke Managi. 2018. "Trends and priority shifts in artificial intelligence technology invention: A global patent analysis." Economic Analysis and Policy 58, no. : 60-69.

Original paper
Published: 22 May 2018 in Food Security
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Food security is a global challenge. With rising world population and demand for food being compounded by resource and arable land constraints, raising the efficiency of food production and use has become increasingly important. While much of the research on food security is focused on farm efficiency and productivity, most neglect post-harvest (PH) handling which is critical in determining the availability of food. In this study, we employ the network Data Envelopment Analysis (DEA) model to evaluate the PH efficiency of milling, using data from Kenya’s rice processing industry. The results show lower efficiency scores when using a network DEA model, which reflects its greater discriminatory power when compared to the standard DEA approach. The study also quantified sources of productive efficiency using a fractional regression model and identified storage space and distance to market as having an impact on drying efficiency; while experience, age of mill, servicing and energy type influenced milling efficiency. The results suggest that policy makers should focus on investing in drying technologies and storage facilities to improve drying efficiency. To improve milling efficiency, policy recommendations include enhancing millers’ access to better technologies, investing in reliable sources of energy and providing PH handling workshops to reduce PH losses.

ACS Style

Eucabeth Majiwa; Boon L. Lee; Clevo Wilson; Hidemichi Fujii; Shunsuke Managi. A network data envelopment analysis (NDEA) model of post-harvest handling: the case of Kenya’s rice processing industry. Food Security 2018, 10, 631 -648.

AMA Style

Eucabeth Majiwa, Boon L. Lee, Clevo Wilson, Hidemichi Fujii, Shunsuke Managi. A network data envelopment analysis (NDEA) model of post-harvest handling: the case of Kenya’s rice processing industry. Food Security. 2018; 10 (3):631-648.

Chicago/Turabian Style

Eucabeth Majiwa; Boon L. Lee; Clevo Wilson; Hidemichi Fujii; Shunsuke Managi. 2018. "A network data envelopment analysis (NDEA) model of post-harvest handling: the case of Kenya’s rice processing industry." Food Security 10, no. 3: 631-648.

Journal article
Published: 01 March 2018 in Economic Analysis and Policy
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ACS Style

Tetsuya Tamaki; Kong Joo Shin; Hiroki Nakamura; Hidemichi Fujii; Shunsuke Managi. Shadow prices and production inefficiency of mineral resources. Economic Analysis and Policy 2018, 57, 111 -121.

AMA Style

Tetsuya Tamaki, Kong Joo Shin, Hiroki Nakamura, Hidemichi Fujii, Shunsuke Managi. Shadow prices and production inefficiency of mineral resources. Economic Analysis and Policy. 2018; 57 ():111-121.

Chicago/Turabian Style

Tetsuya Tamaki; Kong Joo Shin; Hiroki Nakamura; Hidemichi Fujii; Shunsuke Managi. 2018. "Shadow prices and production inefficiency of mineral resources." Economic Analysis and Policy 57, no. : 111-121.

Journal article
Published: 18 January 2018 in Sustainability
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This study analyzes the key drivers of the relationship between economic growth and carbon emissions in six Northeast Asian countries (China, Japan, Republic of Korea, Democratic People’s Republic of Korea, Mongolia, and Russia) from 1991 to 2015. We apply a decomposition analysis approach using Logarithmic Mean Divisia Index to identify the main contributing factors toward CO2 emission changes. To discuss the decomposition results in more in detail, we explain the energy portfolio change in each country to understand the energy and resource utilization strategy. From the results, we find that the key driving factors of CO2 emissions change and energy portfolio trends are different among Northeast Asian countries, driven by economic growth in China and Korea, reduced by energy efficiency improvements in Russia and the DPRK, while being relatively benign in Japan and Mongolia due to a combination of these factors. This result implies that we can better understand the regional cooperation policy for improving each driving factor to achieve sustainable development and management of CO2 emissions considering the characteristics of each country.

ACS Style

Andrew Chapman; Hidemichi Fujii; Shunsuke Managi. Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries. Sustainability 2018, 10, 244 .

AMA Style

Andrew Chapman, Hidemichi Fujii, Shunsuke Managi. Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries. Sustainability. 2018; 10 (1):244.

Chicago/Turabian Style

Andrew Chapman; Hidemichi Fujii; Shunsuke Managi. 2018. "Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries." Sustainability 10, no. 1: 244.

Journal article
Published: 28 December 2017 in Sustainability
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The development of fishery technologies supports food sustainability to achieve a steady supply of fish and fishery products. However, the priorities for research and development (R&D) in fishery technologies vary by region due to differences in fish resource availability, environmental concerns, and consumer preferences for fishery products. This study examines trends in fishery technology innovations using data on patents granted as an indicator of changing R&D priorities. To clarify changes in R&D priorities, we apply a decomposition analysis framework that classifies fishery technologies into three types: harvesting, aquaculture, and new products. This study mainly focuses on China, Japan, and Korea as the major fishing countries in the north-east Asia region. The results show that the number of fishery technology patents granted increased between 1993 and 2015; in particular, the number of aquaculture patents granted has grown rapidly since 2012. However, the trend in Japan was the opposite, as the apparent priority given to aquaculture technology innovation decreased between 1993 and 2015. The trends and priority changes for fishery technology inventions vary by country and technology group. This implies that an international policy framework for fishery technology development should recognize that R&D priorities need to reflect diverse characteristics across countries and the technologies employed.

ACS Style

Hidemichi Fujii; Yoshitaka Sakakura; Atsushi Hagiwara; John Bostock; Kiyoshi Soyano; Yoshiki Matsushita. Research and Development Strategy for Fishery Technology Innovation for Sustainable Fishery Resource Management in North-East Asia. Sustainability 2017, 10, 59 .

AMA Style

Hidemichi Fujii, Yoshitaka Sakakura, Atsushi Hagiwara, John Bostock, Kiyoshi Soyano, Yoshiki Matsushita. Research and Development Strategy for Fishery Technology Innovation for Sustainable Fishery Resource Management in North-East Asia. Sustainability. 2017; 10 (2):59.

Chicago/Turabian Style

Hidemichi Fujii; Yoshitaka Sakakura; Atsushi Hagiwara; John Bostock; Kiyoshi Soyano; Yoshiki Matsushita. 2017. "Research and Development Strategy for Fishery Technology Innovation for Sustainable Fishery Resource Management in North-East Asia." Sustainability 10, no. 2: 59.

Journal article
Published: 01 December 2017 in Journal of Cleaner Production
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Urban policy plays an important role in urbanization and urban sprawl, which in turn affect changes in CO2 emissions from urban areas. However, urban planning policies that consider climate change mitigation have not been widely adopted, despite the issue's importance. To promote the consideration of climate change policies in urban planning, it is useful to identify the key determinants of effective climate change mitigation for policy makers. The objective of this study is therefore to identify the determining factors that affect changes in urban CO2 emissions based on city type using a dataset of metropolitan areas. We obtained data on 276 cities in 26 countries for the years 2000, 2005, and 2008. We divided the data into five regional groups and four clusters to control for the characteristics of metropolitan areas. The dataset includes urban CO2 emissions, GDP, and population. Three variables related to urban characteristics are subjected to determinants analysis using an econometric approach. The results show that the determinants of changes in urban CO2 emissions differ by city type and region. These results contribute to a better understanding of urban policies that can improve the effects of these driving factors by considering the characteristics of each city type

ACS Style

Hidemichi Fujii; Kazuyuki Iwata; Shunsuke Managi. How do urban characteristics affect climate change mitigation policies? Journal of Cleaner Production 2017, 168, 271 -278.

AMA Style

Hidemichi Fujii, Kazuyuki Iwata, Shunsuke Managi. How do urban characteristics affect climate change mitigation policies? Journal of Cleaner Production. 2017; 168 ():271-278.

Chicago/Turabian Style

Hidemichi Fujii; Kazuyuki Iwata; Shunsuke Managi. 2017. "How do urban characteristics affect climate change mitigation policies?" Journal of Cleaner Production 168, no. : 271-278.

Letter
Published: 01 December 2017 in Environmental Research Letters
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This study investigated the changes in the toxicity of chemical emissions from the US industrial sector over the 1998–2009 period. Specifically, we employed a multiregional input–output analysis framework and integrated a supply-side index decomposition analysis (IDA) with a demand-side structural decomposition analysis (SDA) to clarify the main drivers of changes in the toxicity of production- and consumption-based chemical emissions. The results showed that toxic emissions from the US industrial sector decreased by 83% over the studied period because of pollution abatement efforts adopted by US industries. A variety of pollution abatement efforts were used by different industries, and cleaner production in the mining sector and the use of alternative materials in the manufacture of transportation equipment represented the most important efforts.

ACS Style

Hidemichi Fujii; Shunsuke Okamoto; Shigemi Kagawa; Shunsuke Managi. Decomposition of toxicity emission changes on the demand and supply sides: empirical study of the US industrial sector. Environmental Research Letters 2017, 12, 124008 .

AMA Style

Hidemichi Fujii, Shunsuke Okamoto, Shigemi Kagawa, Shunsuke Managi. Decomposition of toxicity emission changes on the demand and supply sides: empirical study of the US industrial sector. Environmental Research Letters. 2017; 12 (12):124008.

Chicago/Turabian Style

Hidemichi Fujii; Shunsuke Okamoto; Shigemi Kagawa; Shunsuke Managi. 2017. "Decomposition of toxicity emission changes on the demand and supply sides: empirical study of the US industrial sector." Environmental Research Letters 12, no. 12: 124008.

Journal article
Published: 06 November 2017 in Water
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Water treatment technology development supports a steady, safe water supply. This study examines trends in water treatment technology innovations, using 227,365 patent granted data published from 1993 to 2016 as an indicator of changing research and development (R&D) priorities. To clarify changes in R&D priorities, we used a decomposition analysis framework that classified water treatment technologies into five types: conventional treatment (117,974 patents, 51.9%), biological treatment (40,300 patents, 17.7%), multistage treatment (45,732 patents, 20.1%), sludge treatment (15,237 patents, 6.7%), and other treatments (8122 patents, 3.6%). The results showed that the number of water treatment technology patents granted increased more than 700% from 1993 to 2016; in particular, the number of multistage water treatment patents granted rapidly grew. The main driver of this growth was expansion in the R&D activity scale and an increase in the priority of multistage water treatment technology in China. Additionally, the trends and priority changes in water treatment technology inventions varied by country and technology groups, which implied that an international policy framework for water treatment technology development should recognize that R&D priorities need to reflect the diverse characteristics of countries and technologies.

ACS Style

Hidemichi Fujii; Shunsuke Managi. Decomposition Analysis of Water Treatment Technology Patents. Water 2017, 9, 860 .

AMA Style

Hidemichi Fujii, Shunsuke Managi. Decomposition Analysis of Water Treatment Technology Patents. Water. 2017; 9 (11):860.

Chicago/Turabian Style

Hidemichi Fujii; Shunsuke Managi. 2017. "Decomposition Analysis of Water Treatment Technology Patents." Water 9, no. 11: 860.

Journal article
Published: 01 October 2017 in Journal of Cleaner Production
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ACS Style

Qing Yang; Shinji Kaneko; Hidemichi Fujii; Yuichiro Yoshida. Do exogenous shocks better leverage the benefits of technological change in the staged elimination of differential environmental regulations? Evidence from China’s cement industry before and after the 2008 Great Sichuan Earthquake. Journal of Cleaner Production 2017, 164, 1167 -1179.

AMA Style

Qing Yang, Shinji Kaneko, Hidemichi Fujii, Yuichiro Yoshida. Do exogenous shocks better leverage the benefits of technological change in the staged elimination of differential environmental regulations? Evidence from China’s cement industry before and after the 2008 Great Sichuan Earthquake. Journal of Cleaner Production. 2017; 164 ():1167-1179.

Chicago/Turabian Style

Qing Yang; Shinji Kaneko; Hidemichi Fujii; Yuichiro Yoshida. 2017. "Do exogenous shocks better leverage the benefits of technological change in the staged elimination of differential environmental regulations? Evidence from China’s cement industry before and after the 2008 Great Sichuan Earthquake." Journal of Cleaner Production 164, no. : 1167-1179.

Journal article
Published: 05 August 2017 in Water
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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 eastern and central regions. However, there is a significant efficiency gap between provinces in the western region. Moreover, the main determinants of wastewater management efficiency differ among regions and pollutants.

ACS Style

Hidemichi Fujii; Shunsuke Managi. Wastewater Management Efficiency and Determinant Factors in the Chinese Industrial Sector from 2004 to 2014. Water 2017, 9, 586 .

AMA Style

Hidemichi Fujii, Shunsuke Managi. Wastewater Management Efficiency and Determinant Factors in the Chinese Industrial Sector from 2004 to 2014. Water. 2017; 9 (8):586.

Chicago/Turabian Style

Hidemichi Fujii; Shunsuke Managi. 2017. "Wastewater Management Efficiency and Determinant Factors in the Chinese Industrial Sector from 2004 to 2014." Water 9, no. 8: 586.

Journal article
Published: 26 April 2017 in Sustainability
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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 contingent valuation method for estimating the forest ecosystem service value per area and a decomposition analysis for identifying the main driving factors of changes in the value of forest ecosystem services. The results indicate that the value of forest ecosystem services has increased due to the expansion of forest area from 2000 to 2007. However, factors related to forest management and ecosystem service value per area have contributed to a decrease in the value of ecosystem services from 2000 to 2007 and from 2007 to 2012, respectively.

ACS Style

Hidemichi Fujii; Masayuki Sato; Shunsuke Managi. Decomposition Analysis of Forest Ecosystem Services Values. Sustainability 2017, 9, 687 .

AMA Style

Hidemichi Fujii, Masayuki Sato, Shunsuke Managi. Decomposition Analysis of Forest Ecosystem Services Values. Sustainability. 2017; 9 (5):687.

Chicago/Turabian Style

Hidemichi Fujii; Masayuki Sato; Shunsuke Managi. 2017. "Decomposition Analysis of Forest Ecosystem Services Values." Sustainability 9, no. 5: 687.