A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO2 emissions from fossil fuel energy consumption

[1]  Shunsuke Managi,et al.  Trends and priority shifts in artificial intelligence technology invention: A global patent analysis , 2018, Economic Analysis and Policy.

[2]  F. Wagner,et al.  Exploring the driving forces of energy consumption and environmental pollution in China's cement industry at the provincial level , 2018 .

[3]  Junsong Jia,et al.  Analysis of drivers and policy implications of carbon dioxide emissions of industrial energy consumption in an underdeveloped city: The case of Nanchang, China , 2018 .

[4]  S. Managi,et al.  Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries , 2018 .

[5]  So Young Sohn,et al.  Comparison of technology efficiency for CO2 emissions reduction among European countries based on DEA with decomposed factors , 2017 .

[6]  S. Managi,et al.  Environmental Policy Design, Innovation And Efficiency Gains In Electricity Generation , 2017 .

[7]  Boqiang Lin,et al.  What cause a surge in China's CO2 emissions? A dynamic vector autoregression analysis , 2017 .

[8]  G. Katul,et al.  Delay‐induced rebounds in CO2 emissions and critical time‐scales to meet global warming targets , 2016 .

[9]  Boqiang Lin,et al.  A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie? , 2016 .

[10]  So Young Sohn,et al.  Concept design of commercial diesel engines reflecting customer preference , 2016 .

[11]  So Young Sohn,et al.  Patent portfolio-based indicators to evaluate the commercial benefits of national plant genetic resources , 2016 .

[12]  Jan Erik Lane.  The Race of Mankind: Global Warming In the 21rst Century , 2016 .

[13]  Kentaro Yoshida,et al.  Research and Development Strategy in Biological Technologies: A Patent Data Analysis of Japanese Manufacturing Firms , 2016 .

[14]  Rong Yuan,et al.  Changes in CO2 emissions from China's energy-intensive industries: a subsystem input–output decomposition analysis , 2016 .

[15]  Ruyin Long,et al.  Factors that influence carbon emissions due to energy consumption based on different stages and sectors in China , 2016 .

[16]  Hung-Suck Park,et al.  Recent progress on innovative eco-industrial development , 2016 .

[17]  S. Managi,et al.  Research and development strategy for environmental technology in Japan: A comparative study of the private and public sectors , 2016 .

[18]  Hidemichi Fujii,et al.  Decomposition analysis of green chemical technology inventions from 1971 to 2010 in Japan , 2016 .

[19]  Chuanglin Fang,et al.  Spatiotemporal Characteristics, Determinants and Scenario Analysis of CO2 Emissions in China Using Provincial Panel Data , 2015, PloS one.

[20]  So Young Sohn,et al.  A new cost of ownership model for the acquisition of technology complying with environmental regulations , 2015 .

[21]  Boqiang Lin,et al.  Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry , 2015 .

[22]  M. Mazzanti,et al.  How does green technology influence CO2 emission in China?--An empirical research based on provincial data of China. , 2015, Journal of environmental biology.

[23]  Yue-Jun Zhang,et al.  The decomposition of energy-related carbon emission and its decoupling with economic growth in China , 2015 .

[24]  R. Rasiah,et al.  The Clean Energy-Growth Nexus with CO2 Emissions and Technological Innovation in Norway and New Zealand , 2014 .

[25]  Teodora Diana Corsatea,et al.  Technological capabilities for innovation activities across Europe: Evidence from wind, solar and bioenergy technologies , 2014 .

[26]  Ruyin Long,et al.  Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI , 2014 .

[27]  Liying Li,et al.  Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis , 2013 .

[28]  Ning Zhang,et al.  Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis , 2013 .

[29]  C. Tang,et al.  Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia , 2013 .

[30]  J. E. Payne,et al.  The relationship between international financial reporting standards, carbon emissions, and R&D expenditures: Evidence from European manufacturing firms , 2013 .

[31]  Zhaohua Wang,et al.  An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China , 2012 .

[32]  T. Fujita,et al.  Regional energy-related carbon emission characteristics and potential mitigation in eco-industrial parks in South Korea: Logarithmic mean Divisia index analysis based on the Kaya identity , 2012 .

[33]  Klaus Hubacek,et al.  Analyzing Drivers of Regional Carbon Dioxide Emissions for China , 2012 .

[34]  E. Lanzi,et al.  Efficiency-improving fossil fuel technologies for electricity generation: Data selection and trends ☆ , 2011 .

[35]  C. Carraro,et al.  Environmental Policy and Technical Change: A Survey , 2010 .

[36]  Š. Bojnec,et al.  QUALITY DIFFERENTIATION IN EAST -WEST EUROPEAN AGRO -FOOD TRAD E DURING THE PRE -ACCESSION 1 , 2010 .

[37]  Yongchen Song,et al.  Decomposition of energy-related CO2 emission over 1991-2006 in China , 2009 .

[38]  C. Weber,et al.  The drivers of Chinese CO2 emissions from 1980 to 2030 , 2008 .

[39]  Guizhen He,et al.  Pattern of patent-based environmental technology innovation in China , 2008 .

[40]  C. D. Maria,et al.  Carbon leakage revisited: unilateral climate policy with directed technical change , 2008 .

[41]  B. W. Ang,et al.  Handling zero values in the logarithmic mean Divisia index decomposition approach , 2007 .

[42]  Desmond Dinan.  Ever Closer Union: An Introduction to European Integration , 2005 .

[43]  I. Prodan.  Influence of Research and Development Expenditures on Number of Patent Aplications: Selected Case Studies in OECD Countries and Central Europe, 1981-2001 , 2005 .

[44]  Sen Wang,et al.  Institutional, social and economic roots of deforestation: a cross-country comparison , 2003 .

[45]  Smita B. Brunnermeier,et al.  Determinants of environmental innovation in US manufacturing industries , 2003 .

[46]  Yoshiaki Nakamura.  Effectiveness of Japan's government sponsored research project - the case of a Real World Computing Program , 2002 .

[47]  B. W. Ang,et al.  A new energy decomposition method: perfect in decomposition and consistent in aggregation , 2001 .

[48]  David Popp,et al.  Induced Innovation and Energy Prices , 2001 .

[49]  B. W. Ang,et al.  A survey of index decomposition analysis in energy and environmental studies , 2000 .

[50]  V. Meliciani.  The relationship between R&D, investment and patents: a panel data analysis , 2000 .

[51]  Masayuki Kondo,et al.  R& D DYNAMICS OF CREATING PATENTS IN THE JAPANESE INDUSTRY , 1999 .

[52]  Zvi Griliches,et al.  R&D and Productivity: The Econometric Evidence , 2007 .

[53]  B. W. Ang,et al.  Factorizing changes in energy and environmental indicators through decomposition , 1998 .

[54]  J. Sun.  Changes in energy consumption and energy intensity: A complete decomposition model , 1998 .

[55]  B. W. Ang,et al.  Decomposition of industrial energy consumption: Some methodological and application issues , 1994 .

[56]  Gale A. Boyd,et al.  Decomposition of changes in energy intensity: A comparison of the Divisia index and other methods☆ , 1988 .

[57]  R. Lucas.  On the Mechanics of Economic Development , 1988 .

[58]  Z. Griliches,et al.  Patents and R and D: Is There a Lag? , 1986 .