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Publications

by members of

Chinese Academy of Sciences → Institutes of Science and Development

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. Find also a compilation of publications from alumni here.

This page is updated in the first days of each month.

| Working papers | Journal articles | Books | Chapters |

Working papers

2025

  1. Yingtong Chen & Fei Wu & Dayong Zhang & Qiang Ji, 2025, "International Tourism and Global Biodiversity Risks," Papers, arXiv.org, number 2505.15289, May.
  2. Vasilios Plakandaras & Rangan Gupta & Qiang Ji, 2025, "Unraveling Financial Fragility of Global Markets Using Machine Learning," Working Papers, University of Pretoria, Department of Economics, number 202511, Mar.

2024

  1. Yunhan Zhang & Qiang Ji & David Gabauer & Rangan Gupta, 2024, "How Connected is the Oil-Bank Network? Firm-Level and High-Frequency Evidence," Working Papers, University of Pretoria, Department of Economics, number 202405, Feb.
  2. Matteo Foglia & Vasilios Plakandaras & Rangan Gupta & Qiang Ji, 2024, "Long-Span Multi-Layer Spillovers between Moments of Advanced Equity Markets: The Role of Climate Risks," Working Papers, University of Pretoria, Department of Economics, number 202415, Apr.
  3. Afees A. Salisu & Ahamuefula E. Ogbonna & Rangan Gupta & Qiang Ji, 2024, "Energy Market Uncertainties and Exchange Rate Volatility: A GARCH-MIDAS Approach," Working Papers, University of Pretoria, Department of Economics, number 202418, Apr.
  4. Onur Polat & Rangan Gupta & Oguzhan Cepni & Qiang Ji, 2024, "Can Municipal Bonds Hedge US State-Level Climate Risks?," Working Papers, University of Pretoria, Department of Economics, number 202419, Apr.
  5. Xuewei Zhou & Zisheng Ouyang & Rangan Gupta & Qiang Ji, 2024, "Time-Varying Multilayer Networks Analysis of Frequency Connectedness in Commodity Futures Markets," Working Papers, University of Pretoria, Department of Economics, number 202422, Jun.

2023

  1. Xin Sheng & Rangan Gupta & Qiang Ji, 2023, "The Effects of Disaggregate Oil Shocks on Aggregate Expected Skewness of the United States," Working Papers, University of Pretoria, Department of Economics, number 202302, Jan.
  2. Rangan Gupta & Qiang Ji & Christian Pierdzioch & Vasilios Plakandaras, 2023, "Forecasting the Conditional Distribution of Realized Volatility of Oil Price Returns: The Role of Skewness over 1859 to 2023," Working Papers, University of Pretoria, Department of Economics, number 202318, Jun.

2022

  1. Zhaobo Zhu & Licheng Sun & Jun Tu & Qiang Ji, 2022, "Oil price shocks and stock market anomalies," Post-Print, HAL, number hal-03712237, Jun.
  2. Alex Plastun & Xolani Sibande & Rangan Gupta & Qiang Ji, 2022, "Price Effects After One-Day Abnormal Returns and Crises in the Stock Markets," Working Papers, University of Pretoria, Department of Economics, number 202222, May.
  3. Rangan Gupta & Jacobus Nel & Afees A. Salisu & Qiang Ji, 2022, "Predictability of Economic Slowdowns in Advanced Countries over Eight Centuries: The Role of Climate Risks," Working Papers, University of Pretoria, Department of Economics, number 202237, Aug.

2021

  1. Rangan Gupta & Xin Sheng & Christian Pierdzioch & Qiang Ji, 2021, "Disaggregated Oil Shocks and Stock-Market Tail Risks: Evidence from a Panel of 48 Countries," Working Papers, University of Pretoria, Department of Economics, number 202106, Jan.
  2. Vasilios Plakandaras & Rangan Gupta & Mehmet Balcilar & Qiang Ji, 2021, "Evolving United States Stock Market Volatility: The Role of Conventional and Unconventional Monetary Policies," Working Papers, University of Pretoria, Department of Economics, number 202113, Feb.
  3. Alex Plastun & Elie Bouri & Rangan Gupta & Qiang Ji, 2021, "Price Effects after One-Day Abnormal Returns in Developed and Emerging Markets: ESG versus Traditional Indices," Working Papers, University of Pretoria, Department of Economics, number 202119, Mar.
  4. Afees A. Salisu & Rangan Gupta & Qiang Ji, 2021, "Forecasting Oil Price over 150 Years: The Role of Tail Risks," Working Papers, University of Pretoria, Department of Economics, number 202120, Mar.
  5. Oguzhan Cepni & Rangan Gupta & Qiang Ji, 2021, "Sentiment Regimes and Reaction of Stock Markets to Conventional and Unconventional Monetary Policies: Evidence from OECD Countries," Working Papers, University of Pretoria, Department of Economics, number 202126, Apr.
  6. Jiawen Luo & Riza Demirer & Rangan Gupta & Qiang Ji, 2021, "Forecasting Oil and Gold Volatilities with Sentiment Indicators Under Structural Breaks," Working Papers, University of Pretoria, Department of Economics, number 202130, Apr.
  7. Xin Sheng & Hardik A. Marfatia & Rangan Gupta & Qiang Ji, 2021, "The Non-Linear Response of US State-Level Tradable and Non-Tradable Inflation to Oil Shocks: The Role of Oil-Dependence," Working Papers, University of Pretoria, Department of Economics, number 202174, Oct.
  8. Xin Sheng & Won Joong Kim & Rangan Gupta & Qiang Ji, 2021, "The Impacts of Oil Price Volatility on Financial Stress: Is the COVID-19 Period Different?," Working Papers, University of Pretoria, Department of Economics, number 202184, Dec.
  9. Luo, Jiawen & Klein, Tony & Walther, Thomas & Ji, Qiang, 2021, "Forecasting Realized Volatility of Crude Oil Futures Prices based on Machine Learning," QBS Working Paper Series, Queen's University Belfast, Queen's Business School, number 2021/04, DOI: 10.2139/ssrn.3701000.

2020

  1. Xiao, Bowen & Guo, Xiaodan & Fan, Ying & Voigt, Sebastian & Cui, Lianbiao, 2020, "Climate policies under dynamic international economic cycles: A heterogeneous countries DSGE model," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 20-011.
  2. Claudiu Albulescu & Aviral Tiwari & Qiang Ji, 2020, "Copula-based local dependence between energy, agriculture and metal commodity markets," Papers, arXiv.org, number 2003.04007, Mar.
  3. Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Qiang Ji, 2020, "Copula-based local dependence among energy, agriculture and metal commodities markets," Working Papers, HAL, number hal-02501815, Apr.
  4. Riza Demirer & David Gabauer & Rangan Gupta & Qiang Ji, 2020, "Monetary Policy and Speculative Spillovers in Financial Markets," Working Papers, University of Pretoria, Department of Economics, number 202032, Apr.
  5. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020, "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers, University of Pretoria, Department of Economics, number 202043, May.
  6. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020, "Forecasting Oil Volatility Using a GARCH-MIDAS Approach: The Role of Global Economic Conditions," Working Papers, University of Pretoria, Department of Economics, number 202051, May.
  7. Rangan Gupta & Xin Sheng & Mehmet Balcilar & Qiang Ji, 2020, "Time-Varying Impact of Pandemics on Global Output Growth," Working Papers, University of Pretoria, Department of Economics, number 202062, Jul.
  8. Xin Sheng & Hardik A. Marfatia & Rangan Gupta & Qiang Ji, 2020, "House Price Synchronization across the US States: The Role of Structural Oil Shocks," Working Papers, University of Pretoria, Department of Economics, number 202076, Aug.
  9. Rangan Gupta & Sowmya Subramaniam & Elie Bouri & Qiang Ji, 2020, "Infectious Disease-Related Uncertainty and the Safe-Haven Characteristic of US Treasury Securities," Working Papers, University of Pretoria, Department of Economics, number 202078, Aug.
  10. Xin Sheng & Rangan Gupta & Qiang Ji, 2020, "Forecasting Charge-Off Rates with a Panel Tobit Model: The Role of Uncertainty," Working Papers, University of Pretoria, Department of Economics, number 202092, Oct.

2019

  1. Inaki Arto & Erik Dietzenbacher & Jose Manuel Rueda-Cantuche, 2019, "Measuring bilateral trade in terms of value added," JRC Research Reports, Joint Research Centre, number JRC116694, May.
  2. Timon Bohn & Steven Brakman & Erik Dietzenbacher, 2019, "Who's afraid of Virginia WU? The labor composition and labor gains of trade," CESifo Working Paper Series, CESifo, number 7527.
  3. Satish Kumar & Aviral K. Tiwari & Ibrahim D. Raheem & Qiang Ji, 2019, "Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach," Research Africa Network Working Papers, Research Africa Network (RAN), number 19/092, Jan.
  4. Ji, Qiang & Liu, Bing-Yue & Nguyen, Duc Khuong & Fan, Ying, 2019, "Dynamic dependence and extreme risk comovement: The case of oil prices and exchange rates," MPRA Paper, University Library of Munich, Germany, number 101387, Apr, revised Jan 2020.
  5. Vasilios Plakandaras & Aviral Kumar Tiwari & Rangan Gupta & Qiang Ji, 2019, "Spillover of Sentiment in the European Union: Evidence from Time- and Frequency-Domains," Working Papers, University of Pretoria, Department of Economics, number 201909, Feb.
  6. Qiang Ji & Walid Bahloul & Jiang-bo Geng & Rangan Gupta, 2019, "Does Trading Behaviour Converge across Commodity Markets? Evidence from the Perspective of Hedgers’ Sentiment," Working Papers, University of Pretoria, Department of Economics, number 201930, Apr.
  7. Luo, Jiawen & Klein, Tony & Ji, Qiang & Hou, Chenghan, 2019, "Forecasting Realized Volatility of Agricultural Commodity Futures with Infinite Hidden Markov HAR Models," QBS Working Paper Series, Queen's University Belfast, Queen's Business School, number 2019/10, DOI: 10.2139/ssrn.3435054.

2018

  1. Inaki Arto & Jose M. Rueda-Cantuche & Ignacio Cazcarro & Antonio F. Amores & Erik Dietzenbacher & M. Victoria Roman, 2018, "EU exports to the EU: Effects on employment and income," JRC Research Reports, Joint Research Centre, number JRC113073, Dec.
  2. Inaki Arto & Jose M. Rueda-Cantuche & Ignacio Cazcarro & Antonio F. Amores & Erik Dietzenbacher & M. Victoria Roman & Zornitsa Kutlina-Dimitrova, 2018, "EU exports to the world: Effects on employment," JRC Research Reports, Joint Research Centre, number JRC113071, Nov.
  3. Inaki Arto & Jose M. Rueda-Cantuche & Ignacio Cazcarro & Antonio F. Amores & Erik Dietzenbacher & M. Victoria Roman & Zornitsa Kutlina-Dimitrova, 2018, "EU exports to the world: Effects on income," JRC Research Reports, Joint Research Centre, number JRC113072, Nov.
  4. David Roubaud & Bouri Elie & Qiang Ji, 2018, "Dynamic network of implied volatility transmission among US equities, strategic commodities, and BRICS equities," Post-Print, HAL, number hal-02081506, May, DOI: 10.1016/j.irfa.2018.02.001.
  5. Qiang Ji & Hardik A. Marfatia & Rangan Gupta, 2018, "Information Spillover across International Real Estate Investment Trusts: Evidence from an Entropy-Based Network Analysis," Working Papers, University of Pretoria, Department of Economics, number 201815, Feb.
  6. Qiang Ji & Rangan Gupta & Festus Victor Bekun & Mehmet Balcilar, 2018, "Spillover of Mortgage Default Risks in the United States: Evidence from Metropolitan Statistical Areas and States," Working Papers, University of Pretoria, Department of Economics, number 201850, Aug.
  7. Riza Demirer & Rangan Gupta & Qiang Ji & Aviral Kumar Tiwari, 2018, "Geopolitical Risks and the Predictability of Regional Oil Returns and Volatility," Working Papers, University of Pretoria, Department of Economics, number 201860, Sep.

2017

  1. Qiang Ji & Elie Bouri & Rangan Gupta & David Roubaud, 2017, "Network Causality Structures among Bitcoin and other Financial Assets: A Directed Acyclic Graph Approach," Working Papers, University of Pretoria, Department of Economics, number 201729, Apr.
  2. Qiang Ji & Bing-Yue Liu & Juncal Cunado & Rangan Gupta, 2017, "Risk Spillover between the US and the Remaining G7 Stock Markets Using Time-Varying Copulas with Markov Switching: Evidence from Over a Century of Data," Working Papers, University of Pretoria, Department of Economics, number 201759, Aug.
  3. Liu, Xin & Zhu, Lei & Zhang, Xiao-Bing & Hennlock, Magnus, 2017, "Self-Enforcing International Environmental Agreements: The Role of Climate Tipping," EfD Discussion Paper, Environment for Development, University of Gothenburg, number 17-12, Oct.

2015

  1. Chen, Quanrun & Dietzenbacher, Erik & Los, Bart, 2015, "The effects of ageing and urbanization on China's future population and labor force," Research Report, University of Groningen, Research Institute SOM (Systems, Organisations and Management), number 15002-GEM.
  2. Iñaki Arto & José Manuel Rueda-Cantuche & Antonio F. Amores & Erik Dietzenbacher & Nuno Sousa & Letizia Montinari & Anil Markandya, 2015, "EU Exports to the World: Effects on Employment and Income," JRC Research Reports, Joint Research Centre, number JRC93237, Jun.
  3. Jian-Lei Mo & Joachim Schleich & Lei Zhu & Ying Fan, 2015, "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Grenoble Ecole de Management (Post-Print), HAL, number hal-01265934, Nov, DOI: 10.1016/j.eneco.2015.11.009.

2014

  1. Robert Stehrer & Los, Bart & Dietzenbacher, H.W.A. & Timmer, Marcel & Gaaitzen J. de Vries, 2014, "The World Input-Output Database: Content, Concepts and Applications," GGDC Research Memorandum, Groningen Growth and Development Centre, University of Groningen, number GD-144.

2013

  1. Van-Ha Le & Jakob de Haan & Erik Dietzenbacher & Jakob de Haan, 2013, "Do Higher Government Wages Reduce Corruption? Evidence Based on a Novel Dataset," CESifo Working Paper Series, CESifo, number 4254.
  2. Erik Dietzenbacher & Joaquim J.M. Guilhoto, Denise Imori, 2013, "The Role of Brazilian Regions in the Global Value Chain," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2013_15, Oct.

2011

  1. Zhu, Lei & Zhang, ZhongXiang & Fan, Ying, 2011, "An Evaluation of Overseas Oil Investment Projects under Uncertainty Using a Real Options Based Simulation Model," Climate Change and Sustainable Development, Fondazione Eni Enrico Mattei (FEEM), number 119106, Nov, DOI: 10.22004/ag.econ.119106.

2006

  1. Erik Dietzenbacher & Esther Velázquez, 2006, "Virtual water and water trade in Andalusia. A study by means of an input-output model," Working Papers, Universidad Pablo de Olavide, Department of Economics, number 06.06, Mar.

2004

  1. Dietzenbacher, Erik, 2004, "International convergence and divergence of material input structures: an industry-level perspective," CCSO Working Papers, University of Groningen, CCSO Centre for Economic Research, number 200402.

1995

  1. Louis de Mesnard & Erik Dietzenbacher, 1995, "On the Interpretation of Fixed Input Coefficients under Aggregation," Post-Print, HAL, number hal-00383944, DOI: 10.1111/j.1467-9787.1995.tb01256.x.
  2. Linden, Jan A. van der & Dietzenbacher, Erik, 1995, "The determinants of structural change in the European Union : a new application of RAS," Research Report, University of Groningen, Research Institute SOM (Systems, Organisations and Management), number 95D36.

Journal articles

2026

  1. Ying Tung Chan & Qiang Ji & Dayong Zhang, 2026, "Optimal Climate Policy Mix for Green Transition: A Growth Model with Endogenous Labor Supply," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, volume 34, issue 1, pages 3-40, January, DOI: 10.1111/cwe.70015.
  2. Zhang, Zhiwei & Wu, Fei & Ji, Qiang & Zhang, Dayong, 2026, "Climate policy uncertainty and bank risk management: Evidence from China," International Review of Financial Analysis, Elsevier, volume 109, issue C, DOI: 10.1016/j.irfa.2025.104801.
  3. Xuewei Zhou & Zisheng Ouyang & Rangan Gupta & Qiang Ji, 2026, "Time-varying multilayer networks analysis of frequency connectedness in commodity futures markets," Empirical Economics, Springer, volume 70, issue 2, pages 1-41, February, DOI: 10.1007/s00181-026-02886-6.

2025

  1. Zhao, Mingtao & Fu, Xuebao & Cui, Lianbiao & Zhu, Hailong & Zhang, Huanming, 2025, "Impact and improvement pathways of intelligent transformation on enterprise green technology innovation under renewable energy substitution," Applied Energy, Elsevier, volume 392, issue C, DOI: 10.1016/j.apenergy.2025.126010.
  2. Zhao, Mingtao & Fu, Xuebao & Sun, Jun & Wang, ZhenZhen & Wang, HongJiu & Lu, Suwan & Cui, Lianbiao, 2025, "Optimal strategy of artificial intelligence on low-carbon energy transformation: Perspective from enterprise green technology innovation efficiency," Energy, Elsevier, volume 319, issue C, DOI: 10.1016/j.energy.2025.135035.
  3. Wang, Yanpeng & Cui, Lianbiao & Zhou, Jie, 2025, "The impact of green finance and digital economy on regional carbon emission reduction," International Review of Economics & Finance, Elsevier, volume 97, issue C, DOI: 10.1016/j.iref.2024.103748.
  4. Huiting Shi & Jiani Heng & Hongbo Duan & Huajiao Li & Weiqiang Chen & Peng Wang & Lianbiao Cui & Shouyang Wang, 2025, "Critical mineral constraints pressure energy transition and trade toward the Paris Agreement climate goals," Nature Communications, Nature, volume 16, issue 1, pages 1-13, December, DOI: 10.1038/s41467-025-59741-y.
  5. Chen, Yingtong & Wu, Fei & Zhang, Dayong & Ji, Qiang, 2025, "International tourism and global biodiversity risks," Annals of Tourism Research, Elsevier, volume 113, issue C, DOI: 10.1016/j.annals.2025.103982.
  6. Chai, Shanglei & Huo, Wenjing & Li, Qiang & Ji, Qiang & Shi, Xunpeng, 2025, "Effects of carbon tax on energy transition, emissions and economy amid technological progress," Applied Energy, Elsevier, volume 377, issue PC, DOI: 10.1016/j.apenergy.2024.124578.
  7. Liu, Zhenhua & Wang, Yushu & Yuan, Xinting & Ding, Zhihua & Ji, Qiang, 2025, "Geopolitical risk and vulnerability of energy markets," Energy Economics, Elsevier, volume 141, issue C, DOI: 10.1016/j.eneco.2024.108055.
  8. Huang, Shupei & Wang, Xinya & Ji, Qiang, 2025, "How unexpected geopolitical risk affect the nonlinear spillover among energy and metal markets?," Energy Economics, Elsevier, volume 142, issue C, DOI: 10.1016/j.eneco.2024.108143.
  9. Guo, Kun & Liu, Yu & Cao, Shanwei & Zhai, Xiangyang & Ji, Qiang, 2025, "Can climate factors improve the forecasting of electricity price volatility? Evidence from Australia," Energy, Elsevier, volume 315, issue C, DOI: 10.1016/j.energy.2024.134332.
  10. Chai, Shanglei & Zhou, Qianqian & Ji, Qiang & Liu, Zuankuo & Liu, Changyu & Chu, Wenjun, 2025, "Inhibition or inducement? The impact of carbon emissions trading scheme (ETS) on corporate earnings management from the perspective of public pressure," International Review of Financial Analysis, Elsevier, volume 101, issue C, DOI: 10.1016/j.irfa.2025.104019.
  11. Ma, Rufei & Chen, Yuhua & Ji, Qiang & Zhai, Pengxiang, 2025, "How does environmental regulatory stringency shape ESG? Evidence from cross-listing," International Review of Financial Analysis, Elsevier, volume 104, issue PB, DOI: 10.1016/j.irfa.2025.104316.
  12. Zhou, Chengchen & Chen, Yajie & Ji, Qiang & Zhang, Dayong, 2025, "Does public attention to biodiversity matter to stock markets?," International Review of Financial Analysis, Elsevier, volume 98, issue C, DOI: 10.1016/j.irfa.2025.103925.
  13. Ma, Dandan & Ji, Qiang & Zhang, Dayong & Zhao, Wanli, 2025, "Spillover among biodiversity attention, climate policy uncertainty and global stock markets," Finance Research Letters, Elsevier, volume 73, issue C, DOI: 10.1016/j.frl.2024.106627.
  14. Ma, Rufei & Fu, Xinxin & Ji, Qiang & Zhai, Pengxiang, 2025, "Climate awareness in management and deviation from target leverage: Evidence from China," Finance Research Letters, Elsevier, volume 76, issue C, DOI: 10.1016/j.frl.2025.106915.
  15. Chan, Ying Tung & Ji, Qiang & Zhang, Dayong, 2025, "The Macroeconomics of Strategic Petroleum Reserve," International Review of Economics & Finance, Elsevier, volume 99, issue C, DOI: 10.1016/j.iref.2025.103997.
  16. Foglia, Matteo & Plakandaras, Vasilios & Gupta, Rangan & Ji, Qiang, 2025, "Long-span multi-layer spillovers between moments of advanced equity markets: The role of climate risks," Research in International Business and Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.ribaf.2024.102667.
  17. Tu, Qiang & Wang, Jianing & Zuo, Limei & Yao, Ye & Ji, Qiang, 2025, "Can ESG enhance the efficacy of emissions trading systems on enterprise productivity: Evidence from China," Research in International Business and Finance, Elsevier, volume 76, issue C, DOI: 10.1016/j.ribaf.2025.102845.
  18. Bo Yu & Dayong Zhang & Qiang Ji, 2025, "Forecasting portfolio variance: a new decomposition approach," Annals of Operations Research, Springer, volume 348, issue 1, pages 543-578, May, DOI: 10.1007/s10479-023-05546-5.
  19. Qiang Ji & Song Nie, 2025, "Impact of relaxing internal-migration restrictions on agricultural TFP of rural households: evidence from China," Applied Economics Letters, Taylor & Francis Journals, volume 32, issue 10, pages 1363-1367, June, DOI: 10.1080/13504851.2024.2303371.
  20. Xiaoyun Xing & Xiuya Wang & Qiang Ji, 2025, "The impact of climate policy on the risk contagion in China’s stock markets," Applied Economics Letters, Taylor & Francis Journals, volume 32, issue 17, pages 2524-2529, October, DOI: 10.1080/13504851.2024.2334926.
  21. Xiaohang Ren & Yiying Li & Qiang Ji & Pengxiang Zhai, 2025, "Climate policy uncertainty and the green bond market: fresh insights from the QARDL model," Applied Economics Letters, Taylor & Francis Journals, volume 32, issue 4, pages 464-469, February, DOI: 10.1080/13504851.2023.2275643.
  22. Kun Guo & Liyuan Luan & Dayong Zhang & Qiang Ji, 2025, "Does climate risk affect the performance of companies in China?," Applied Economics Letters, Taylor & Francis Journals, volume 32, issue 6, pages 843-849, March, DOI: 10.1080/13504851.2023.2289899.

2024

  1. Wang, Shuhong & Li, Weiyao & Zhang, Ying & Song, Malin & Chen, Xueli & Cui, Lianbiao, 2024, "The impact of a natural resource protection policy on economic development: Based on a policy evaluation of China’s coal resource tax reform," Energy Policy, Elsevier, volume 192, issue C, DOI: 10.1016/j.enpol.2024.114213.
  2. Wang, Sanchuan & Shu, Wanwu & Cui, Lianbiao, 2024, "Green finance policy and green economic transformation," International Review of Financial Analysis, Elsevier, volume 96, issue PB, DOI: 10.1016/j.irfa.2024.103785.
  3. Dunping Huang & Fan Yang & Donghui Wang & Kai Yin & Bin Gong & Lianbiao Cui, 2024, "Exploring the Impacts of the Digital Economy on Carbon Emissions: Lessons from 268 Cities in China," Sustainability, MDPI, volume 16, issue 18, pages 1-20, September.
  4. Xing, Xiaoyun & Guo, Kun & Zhang, Dayong & Ji, Qiang, 2024, "On the interactive effects of climate policies: Insights from a stock-flow consistent model," Applied Energy, Elsevier, volume 358, issue C, DOI: 10.1016/j.apenergy.2024.122664.
  5. Ma, Rufei & Fu, Xinxin & Ji, Qiang & Zhai, Pengxiang, 2024, "Do climate-exposed firms hold more cash? Global evidence," Economics Letters, Elsevier, volume 237, issue C, DOI: 10.1016/j.econlet.2024.111651.
  6. Zhang, Yunhan & Li, Yan & Zhao, Wanli & Ji, Qiang, 2024, "Climate risk performance and returns integration of Chinese listed energy companies," Energy Economics, Elsevier, volume 129, issue C, DOI: 10.1016/j.eneco.2023.107272.
  7. Chan, Ying Tung & Ji, Qiang & Zhang, Dayong, 2024, "Optimal monetary policy responses to carbon and green bubbles:A two-sector DSGE analysis," Energy Economics, Elsevier, volume 130, issue C, DOI: 10.1016/j.eneco.2023.107281.
  8. Zhang, Yunhan & Ji, Qiang & Zhang, Dayong & Guo, Kun, 2024, "How does Shanghai crude oil futures affect top global oil companies: The role of multi-uncertainties," Energy Economics, Elsevier, volume 131, issue C, DOI: 10.1016/j.eneco.2024.107354.
  9. Zhao, Wanli & Zhai, Xiangyang & Ji, Qiang & Liu, Zhenhua, 2024, "Measuring crisis from climate risk spillovers in European electricity markets," Energy Economics, Elsevier, volume 134, issue C, DOI: 10.1016/j.eneco.2024.107586.
  10. Liu, Changyu & Gong, Wanrong & Dong, Guanglong & Ji, Qiang, 2024, "Regulation of environmental, social and governance disclosure greenwashing behaviors considering the risk preference of enterprises," Energy Economics, Elsevier, volume 135, issue C, DOI: 10.1016/j.eneco.2024.107637.
  11. Zhang, Yunhan & Gabauer, David & Gupta, Rangan & Ji, Qiang, 2024, "How connected is the oil-bank network? Firm-level and high-frequency evidence," Energy Economics, Elsevier, volume 136, issue C, DOI: 10.1016/j.eneco.2024.107684.
  12. Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Abdullah, Mohammad & Ji, Qiang & Sulong, Zunaidah, 2024, "Monetary policy uncertainty and ESG performance across energy firms," Energy Economics, Elsevier, volume 136, issue C, DOI: 10.1016/j.eneco.2024.107699.
  13. Xue, Jiashun & Poon, Jessie & Yang, Yu & Ji, Qiang, 2024, "Effect of green industrial policy on China's outward renewable energy investment," Energy Economics, Elsevier, volume 138, issue C, DOI: 10.1016/j.eneco.2024.107830.
  14. Guo, Kun & Luan, Liyuan & Cai, Xiaoli & Zhang, Dayong & Ji, Qiang, 2024, "Energy trade stability of China: Policy options with increasing climate risks," Energy Policy, Elsevier, volume 184, issue C, DOI: 10.1016/j.enpol.2023.113858.
  15. Ma, Dandan & Zhang, Yunhan & Ji, Qiang & Zhao, Wan-Li & Zhai, Pengxiang, 2024, "Heterogeneous impacts of climate change news on China's financial markets," International Review of Financial Analysis, Elsevier, volume 91, issue C, DOI: 10.1016/j.irfa.2023.103007.
  16. Liu, Changyu & Wang, Jing & Ji, Qiang & Zhang, Dayong, 2024, "To be green or not to be: How governmental regulation shapes financial institutions' greenwashing behaviors in green finance," International Review of Financial Analysis, Elsevier, volume 93, issue C, DOI: 10.1016/j.irfa.2024.103225.
  17. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Ji, Qiang, 2024, "Energy market uncertainties and exchange rate volatility: A GARCH-MIDAS approach," Finance Research Letters, Elsevier, volume 67, issue PB, DOI: 10.1016/j.frl.2024.105847.
  18. Polat, Onur & Gupta, Rangan & Cepni, Oguzhan & Ji, Qiang, 2024, "Can municipal bonds hedge US state-level climate risks?," Finance Research Letters, Elsevier, volume 67, issue PB, DOI: 10.1016/j.frl.2024.105915.
  19. Ma, Dandan & Zhang, Dayong & Guo, Kun & Ji, Qiang, 2024, "Coupling between global climate policy uncertainty and economic policy uncertainty," Finance Research Letters, Elsevier, volume 69, issue PB, DOI: 10.1016/j.frl.2024.106180.
  20. Ji, Qiang & Ma, Dandan & Zhai, Pengxiang & Fan, Ying & Zhang, Dayong, 2024, "Global climate policy uncertainty and financial markets," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 95, issue C, DOI: 10.1016/j.intfin.2024.102047.
  21. Chen, Yajie & Zhang, Dayong & Guo, Kun & Ji, Qiang, 2024, "Emission trading schemes and cross-border mergers and acquisitions," Journal of Environmental Economics and Management, Elsevier, volume 124, issue C, DOI: 10.1016/j.jeem.2024.102949.
  22. Zhang, Dayong & Wu, Yalin & Ji, Qiang & Guo, Kun & Lucey, Brian, 2024, "Climate impacts on the loan quality of Chinese regional commercial banks," Journal of International Money and Finance, Elsevier, volume 140, issue C, DOI: 10.1016/j.jimonfin.2023.102975.
  23. Guo, Kun & Bian, Yuan & Zhang, Dayong & Ji, Qiang, 2024, "ESG performance and corporate external financing in China: The role of rating disagreement," Research in International Business and Finance, Elsevier, volume 69, issue C, DOI: 10.1016/j.ribaf.2024.102236.
  24. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Ji, Qiang, 2024, "Price effects after one-day abnormal returns and crises in the stock markets," Research in International Business and Finance, Elsevier, volume 70, issue PA, DOI: 10.1016/j.ribaf.2024.102308.
  25. Dayong Zhang & Kun Guo & Qiang Ji, 2024, "Resolve climate-policy uncertainties in the US and China," Nature, Nature, volume 625, issue 7996, pages 663-663, January, DOI: 10.1038/d41586-024-00186-6.
  26. Yingtong Chen & Fei Wu & Dayong Zhang & Qiang Ji, 2024, "Tourism in pandemic: the role of digital travel vouchers in China," Humanities and Social Sciences Communications, Palgrave Macmillan, volume 11, issue 1, pages 1-15, December, DOI: 10.1057/s41599-024-03231-x.
  27. Jun Li & Jiajia Li & Kun Guo & Qiang Ji & Dayong Zhang, 2024, "Policy spillovers from climate actions to energy poverty: international evidence," Humanities and Social Sciences Communications, Palgrave Macmillan, volume 11, issue 1, pages 1-12, December, DOI: 10.1057/s41599-024-03614-0.
  28. Changyu Liu & Wei Li & Le Chang & Qiang Ji, 2024, "How to govern greenwashing behaviors in green finance products: a tripartite evolutionary game approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 10, issue 1, pages 1-32, December, DOI: 10.1186/s40854-023-00549-4.
  29. Dandan Ma & Pengxiang Zhai & Dayong Zhang & Qiang Ji, 2024, "Excess stock returns and corporate environmental performance in China," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 10, issue 1, pages 1-30, December, DOI: 10.1186/s40854-023-00569-0.
  30. Kun Guo & Yuxin Kang & Qiang Ji & Dayong Zhang, 2024, "Cryptocurrencies under climate shocks: a dynamic network analysis of extreme risk spillovers," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 10, issue 1, pages 1-39, December, DOI: 10.1186/s40854-023-00579-y.
  31. Fei Wu & Qiang Ji & Yan-Ran Ma & Dayong Zhang, 2024, "Investor sentiments and extreme risk spillovers from oil to stock markets: evidence from Asian countries," Journal of the Asia Pacific Economy, Taylor & Francis Journals, volume 29, issue 3, pages 1257-1283, July, DOI: 10.1080/13547860.2023.2170050.
  32. Pengxiang Zhai & Fei Wu & Qiang Ji & Duc Khuong Nguyen, 2024, "From fears to recession? Time‐frequency risk contagion among stock and credit default swap markets during the COVID pandemic," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 29, issue 1, pages 551-580, January, DOI: 10.1002/ijfe.2698.
  33. Jiawen Luo & Tony Klein & Thomas Walther & Qiang Ji, 2024, "Forecasting realized volatility of crude oil futures prices based on machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 5, pages 1422-1446, August, DOI: 10.1002/for.3077.
  34. Xiaohang Ren & Wenting Jiang & Qiang Ji & Pengxiang Zhai, 2024, "Seeing is believing: Forecasting crude oil price trend from the perspective of images," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 7, pages 2809-2821, November, DOI: 10.1002/for.3149.
  35. Pengxiang Zhai & Ying Fan & Qiang Ji & Yan-Ran Ma, 2024, "Climate Risks And Financial Markets: A Review Of The Literature," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., volume 15, issue 04, pages 1-25, November, DOI: 10.1142/S2010007824400086.

2023

  1. Cui, Lianbiao & Yue, Suyun & Nghiem, Xuan-Hoa & Duan, Mei, 2023, "Exploring the risk and economic vulnerability of global energy supply chain interruption in the context of Russo-Ukrainian war," Resources Policy, Elsevier, volume 81, issue C, DOI: 10.1016/j.resourpol.2023.103373.
  2. Luo, Jiawen & Marfatia, Hardik A. & Ji, Qiang & Klein, Tony, 2023, "Co-volatility and asymmetric transmission of risks between the global oil and China's futures markets," Energy Economics, Elsevier, volume 117, issue C, DOI: 10.1016/j.eneco.2022.106466.
  3. Wang, Tiantian & Wu, Fei & Zhang, Dayong & Ji, Qiang, 2023, "Energy market reforms in China and the time-varying connectedness of domestic and international markets," Energy Economics, Elsevier, volume 117, issue C, DOI: 10.1016/j.eneco.2022.106495.
  4. Shen, Yiran & Sun, Xiaolei & Ji, Qiang & Zhang, Dayong, 2023, "Climate events matter in the global natural gas market," Energy Economics, Elsevier, volume 125, issue C, DOI: 10.1016/j.eneco.2023.106887.
  5. Zhang, Qi & Gu, Baihe & Zhang, Haiying & Ji, Qiang, 2023, "Emission reduction mode of China's provincial transportation sector: Based on “Energy+” carbon efficiency evaluation," Energy Policy, Elsevier, volume 177, issue C, DOI: 10.1016/j.enpol.2023.113556.
  6. Chen, Yajie & Guo, Kun & Ji, Qiang & Zhang, Dayong, 2023, "“Not all climate risks are alike”: Heterogeneous responses of financial firms to natural disasters in China," Finance Research Letters, Elsevier, volume 52, issue C, DOI: 10.1016/j.frl.2022.103538.
  7. Gupta, Rangan & Nel, Jacobus & Salisu, Afees A. & Ji, Qiang, 2023, "Predictability of economic slowdowns in advanced countries over eight centuries: The role of climate risks," Finance Research Letters, Elsevier, volume 54, issue C, DOI: 10.1016/j.frl.2023.103795.
  8. Lei, Lei & Zhang, Dayong & Ji, Qiang & Guo, Kun & Wu, Fei, 2023, "A text-based managerial climate attention index of listed firms in China," Finance Research Letters, Elsevier, volume 55, issue PA, DOI: 10.1016/j.frl.2023.103911.
  9. Guo, Kun & Liu, Fengqi & Sun, Xiaolei & Zhang, Dayong & Ji, Qiang, 2023, "Predicting natural gas futures’ volatility using climate risks," Finance Research Letters, Elsevier, volume 55, issue PA, DOI: 10.1016/j.frl.2023.103915.
  10. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023, "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, volume 58, issue PC, DOI: 10.1016/j.frl.2023.104501.
  11. Chai, Shanglei & Cao, Mengjun & Li, Qiang & Ji, Qiang & Liu, Zuankuo, 2023, "Exploring the nexus between ESG disclosure and corporate sustainable growth: Moderating role of media attention," Finance Research Letters, Elsevier, volume 58, issue PC, DOI: 10.1016/j.frl.2023.104519.
  12. Guo, Kun & Li, Yichong & Zhang, Yunhan & Ji, Qiang & Zhao, Wanli, 2023, "How are climate risk shocks connected to agricultural markets?," Journal of Commodity Markets, Elsevier, volume 32, issue C, DOI: 10.1016/j.jcomm.2023.100367.
  13. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023, "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, volume 85, issue C, pages 520-532, DOI: 10.1016/j.iref.2023.02.006.
  14. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2023, "The non-linear response of US state-level tradable and non-tradable inflation to oil shocks: The role of oil-dependence," Research in International Business and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.ribaf.2022.101830.
  15. Liu, Zhenhua & Ji, Qiang & Zhai, Pengxiang & Ding, Zhihua, 2023, "Asymmetric and time-frequency volatility connectedness between China and international crude oil markets with portfolio implications," Research in International Business and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.ribaf.2023.102039.
  16. Sun, Xiaolei & Shen, Yiran & Guo, Kun & Ji, Qiang, 2023, "Sovereign ratings change under climate risks," Research in International Business and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.ribaf.2023.102040.
  17. Donglan Liu & Xin Liu & Kun Guo & Qiang Ji & Yingxian Chang, 2023, "Spillover Effects among Electricity Prices, Traditional Energy Prices and Carbon Market under Climate Risk," IJERPH, MDPI, volume 20, issue 2, pages 1-18, January.
  18. Xin Sheng & Rangan Gupta & Qiang Ji, 2023, "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, volume 11, issue 11, pages 1-9, October.
  19. Fei Wu & Zhiwei Zhang & Dayong Zhang & Qiang Ji, 2023, "Identifying systemically important financial institutions in China: new evidence from a dynamic copula-CoVaR approach," Annals of Operations Research, Springer, volume 330, issue 1, pages 119-153, November, DOI: 10.1007/s10479-021-04176-z.
  20. Oguzhan Cepni & Rangan Gupta & Qiang Ji, 2023, "Sentiment Regimes and Reaction of Stock Markets to Conventional and Unconventional Monetary Policies: Evidence from OECD Countries," Journal of Behavioral Finance, Taylor & Francis Journals, volume 24, issue 3, pages 365-381, July, DOI: 10.1080/15427560.2021.1983576.

2022

  1. Lai, Aolin & Wang, Qunwei & Cui, Lianbiao, 2022, "Can market segmentation lead to green paradox? Evidence from China," Energy, Elsevier, volume 254, issue PC, DOI: 10.1016/j.energy.2022.124390.
  2. Cui, Lianbiao & Weng, Shimei & Nadeem, Abdul Majeed & Rafique, Muhammad Zahid & Shahzad, Umer, 2022, "Exploring the role of renewable energy, urbanization and structural change for environmental sustainability: Comparative analysis for practical implications," Renewable Energy, Elsevier, volume 184, issue C, pages 215-224, DOI: 10.1016/j.renene.2021.11.075.
  3. Shahzad, Umer & Ferraz, Diogo & Nguyen, Huu-Huan & Cui, Lianbiao, 2022, "Investigating the spill overs and connectedness between financial globalization, high-tech industries and environmental footprints: Fresh evidence in context of China," Technological Forecasting and Social Change, Elsevier, volume 174, issue C, DOI: 10.1016/j.techfore.2021.121205.
  4. Zhaobo Zhu & Licheng Sun & Jun Tu & Qiang Ji, 2022, "Oil price shocks and stock market anomalies," Financial Management, Financial Management Association International, volume 51, issue 2, pages 573-612, June, DOI: 10.1111/fima.12377.
  5. Plastun, Alex & Bouri, Elie & Gupta, Rangan & Ji, Qiang, 2022, "Price effects after one-day abnormal returns in developed and emerging markets: ESG versus traditional indices," The North American Journal of Economics and Finance, Elsevier, volume 59, issue C, DOI: 10.1016/j.najef.2021.101572.
  6. Plakandaras, Vasilios & Gupta, Rangan & Balcilar, Mehmet & Ji, Qiang, 2022, "Evolving United States stock market volatility: The role of conventional and unconventional monetary policies," The North American Journal of Economics and Finance, Elsevier, volume 60, issue C, DOI: 10.1016/j.najef.2022.101666.
  7. Liu, Bing-Yue & Fan, Ying & Ji, Qiang & Hussain, Nazim, 2022, "High-dimensional CoVaR network connectedness for measuring conditional financial contagion and risk spillovers from oil markets to the G20 stock system," Energy Economics, Elsevier, volume 105, issue C, DOI: 10.1016/j.eneco.2021.105749.
  8. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022, "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, volume 105, issue C, DOI: 10.1016/j.eneco.2021.105751.
  9. Wu, Fei & Xiao, Xuanqi & Zhou, Xinyu & Zhang, Dayong & Ji, Qiang, 2022, "Complex risk contagions among large international energy firms: A multi-layer network analysis," Energy Economics, Elsevier, volume 114, issue C, DOI: 10.1016/j.eneco.2022.106271.
  10. Wang, Tiantian & Qu, Wan & Zhang, Dayong & Ji, Qiang & Wu, Fei, 2022, "Time-varying determinants of China's liquefied natural gas import price: A dynamic model averaging approach," Energy, Elsevier, volume 259, issue C, DOI: 10.1016/j.energy.2022.125013.
  11. Zhao, Wan-Li & Fan, Ying & Ji, Qiang, 2022, "Extreme risk spillover between crude oil price and financial factors," Finance Research Letters, Elsevier, volume 46, issue PA, DOI: 10.1016/j.frl.2021.102317.
  12. Ding, Hao & Ji, Qiang & Ma, Rufei & Zhai, Pengxiang, 2022, "High-carbon screening out: A DCC-MIDAS-climate policy risk method," Finance Research Letters, Elsevier, volume 47, issue PA, DOI: 10.1016/j.frl.2022.102818.
  13. Luo, Jiawen & Klein, Tony & Ji, Qiang & Hou, Chenghan, 2022, "Forecasting realized volatility of agricultural commodity futures with infinite Hidden Markov HAR models," International Journal of Forecasting, Elsevier, volume 38, issue 1, pages 51-73, DOI: 10.1016/j.ijforecast.2019.08.007.
  14. Plakandaras, Vasilios & Ji, Qiang, 2022, "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, volume 28, issue C, DOI: 10.1016/j.jcomm.2022.100245.
  15. Salisu, Afees A. & Gupta, Rangan & Ji, Qiang, 2022, "Forecasting oil prices over 150 years: The role of tail risks," Resources Policy, Elsevier, volume 75, issue C, DOI: 10.1016/j.resourpol.2021.102508.
  16. Chen, Yingtong & Zhang, Dayong & Ji, Qiang, 2022, "Impacts of regional cooperation agreements on international tourism: Evidence from a quasi-natural experiment," International Review of Economics & Finance, Elsevier, volume 82, issue C, pages 663-676, DOI: 10.1016/j.iref.2022.08.006.
  17. Plastun, Alex & Bouri, Elie & Havrylina, Ahniia & Ji, Qiang, 2022, "Calendar anomalies in passion investments: Price patterns and profit opportunities," Research in International Business and Finance, Elsevier, volume 61, issue C, DOI: 10.1016/j.ribaf.2022.101678.
  18. Ma, Rufei & Deng, Liqian & Ji, Qiang & Zhai, Pengxiang, 2022, "Environmental regulations, clean energy access, and household energy poverty: Evidence from China," Technological Forecasting and Social Change, Elsevier, volume 182, issue C, DOI: 10.1016/j.techfore.2022.121862.
  19. Qiang Ji & Ronald D. Ripple & Dayong Zhang & Yuqian Zhao, 2022, "Cryptocurrency Bubble on the Systemic Risk in Global Energy Companies," The Energy Journal, , volume 43, issue 1_suppl, pages 1-24, June, DOI: 10.5547/01956574.43.SI1.qiji.
  20. Qiang Ji & Ronald D. Ripple & Dayong Zhang, 2022, "Introduction to the Special Issue on “Energy Market Transition, Financialization and Integrationâ€," The Energy Journal, , volume 43, issue 1_suppl, pages 1-4, June, DOI: 10.1177/019565742022430s11.
  21. Qiang Ji & Dayong Zhang & Yuqian Zhao, 2022, "Intra-day co-movements of crude oil futures: China and the international benchmarks," Annals of Operations Research, Springer, volume 313, issue 1, pages 77-103, June, DOI: 10.1007/s10479-021-04097-x.
  22. Xin Sheng & Rangan Gupta & Qiang Ji, 2022, "Forecasting charge-off rates with a panel Tobit model: the role of uncertainty," Applied Economics Letters, Taylor & Francis Journals, volume 29, issue 10, pages 927-931, June, DOI: 10.1080/13504851.2021.1898532.
  23. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2022, "Mixed‐frequency forecasting of crude oil volatility based on the information content of global economic conditions," Journal of Forecasting, John Wiley & Sons, Ltd., volume 41, issue 1, pages 134-157, January, DOI: 10.1002/for.2800.
  24. Hardik A. Marfatia & Qiang Ji & Jiawen Luo, 2022, "Forecasting the volatility of agricultural commodity futures: The role of co‐volatility and oil volatility," Journal of Forecasting, John Wiley & Sons, Ltd., volume 41, issue 2, pages 383-404, March, DOI: 10.1002/for.2811.

2021

  1. Mo, Jianlei & Cui, Lianbiao & Duan, Hongbo, 2021, "Quantifying the implied risk for newly-built coal plant to become stranded asset by carbon pricing," Energy Economics, Elsevier, volume 99, issue C, DOI: 10.1016/j.eneco.2021.105286.
  2. Cui, Lianbiao & Duan, Hongbo & Mo, Jianlei & Song, Malin, 2021, "Ecological compensation in air pollution governance: China's efforts, challenges, and potential solutions," International Review of Financial Analysis, Elsevier, volume 74, issue C, DOI: 10.1016/j.irfa.2021.101701.
  3. Cui, Lianbiao & Weng, Shimei & Kirikkaleli, Dervis & Bashir, Muhammad Adnan & Rjoub, Husam & Zhou, Yuanxiang, 2021, "Exploring the role of natural resources, natural gas and oil production for economic growth of China," Resources Policy, Elsevier, volume 74, issue C, DOI: 10.1016/j.resourpol.2021.102429.
  4. Tehreem Fatima & Umer Shahzad & Lianbiao Cui, 2021, "Renewable and nonrenewable energy consumption, trade and CO2 emissions in high emitter countries: does the income level matter?," Journal of Environmental Planning and Management, Taylor & Francis Journals, volume 64, issue 7, pages 1227-1251, June, DOI: 10.1080/09640568.2020.1816532.
  5. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2021, "House price synchronization across the US states: The role of structural oil shocks," The North American Journal of Economics and Finance, Elsevier, volume 56, issue C, DOI: 10.1016/j.najef.2021.101372.
  6. Liu, Xiaoguang & Ji, Qiang & Yu, Jian, 2021, "Sustainable development goals and firm carbon emissions: Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, volume 103, issue C, DOI: 10.1016/j.eneco.2021.105627.
  7. Ma, Yan-Ran & Ji, Qiang & Wu, Fei & Pan, Jiaofeng, 2021, "Financialization, idiosyncratic information and commodity co-movements," Energy Economics, Elsevier, volume 94, issue C, DOI: 10.1016/j.eneco.2020.105083.
  8. Geng, Jiang-Bo & Chen, Fu-Rui & Ji, Qiang & Liu, Bing-Yue, 2021, "Network connectedness between natural gas markets, uncertainty and stock markets," Energy Economics, Elsevier, volume 95, issue C, DOI: 10.1016/j.eneco.2020.105001.
  9. Ma, Yu & Zhang, Yang & Ji, Qiang, 2021, "Do oil shocks affect Chinese bank risk?," Energy Economics, Elsevier, volume 96, issue C, DOI: 10.1016/j.eneco.2021.105166.
  10. Wu, Fei & Zhang, Dayong & Ji, Qiang, 2021, "Systemic risk and financial contagion across top global energy companies," Energy Economics, Elsevier, volume 97, issue C, DOI: 10.1016/j.eneco.2021.105221.
  11. Chevallier, Julien & Goutte, Stéphane & Ji, Qiang & Guesmi, Khaled, 2021, "Green finance and the restructuring of the oil-gas-coal business model under carbon asset stranding constraints," Energy Policy, Elsevier, volume 149, issue C, DOI: 10.1016/j.enpol.2020.112055.
  12. Ma, Rufei & Cai, Huan & Ji, Qiang & Zhai, Pengxiang, 2021, "The impact of feed-in tariff degression on R&D investment in renewable energy: The case of the solar PV industry," Energy Policy, Elsevier, volume 151, issue C, DOI: 10.1016/j.enpol.2021.112209.
  13. Li, Chunzhi & Xiao, Wei & Zhang, Dayong & Ji, Qiang, 2021, "Low-carbon transformation of cities: Understanding the demand for dockless bike sharing in China," Energy Policy, Elsevier, volume 159, issue C, DOI: 10.1016/j.enpol.2021.112631.
  14. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021, "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, volume 224, issue C, DOI: 10.1016/j.energy.2021.120178.
  15. Ji, Qiang & Bouri, Elie & Kristoufek, Ladislav & Lucey, Brian, 2021, "Realised volatility connectedness among Bitcoin exchange markets," Finance Research Letters, Elsevier, volume 38, issue C, DOI: 10.1016/j.frl.2019.101391.
  16. Yang, Yuying & Ma, Yan-Ran & Hu, Min & Zhang, Dayong & Ji, Qiang, 2021, "Extreme risk spillover between chinese and global crude oil futures," Finance Research Letters, Elsevier, volume 40, issue C, DOI: 10.1016/j.frl.2020.101743.
  17. Gupta, Rangan & Sheng, Xin & Balcilar, Mehmet & Ji, Qiang, 2021, "Time-varying impact of pandemics on global output growth," Finance Research Letters, Elsevier, volume 41, issue C, DOI: 10.1016/j.frl.2020.101823.
  18. Zhang, Dayong & Zhang, Zhiwei & Ji, Qiang & Lucey, Brian & Liu, Jia, 2021, "Board characteristics, external governance and the use of renewable energy: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 72, issue C, DOI: 10.1016/j.intfin.2021.101317.
  19. Geng, Jiang-Bo & Du, Ya-Juan & Ji, Qiang & Zhang, Dayong, 2021, "Modeling return and volatility spillover networks of global new energy companies," Renewable and Sustainable Energy Reviews, Elsevier, volume 135, issue C, DOI: 10.1016/j.rser.2020.110214.
  20. Geng, Jiang-Bo & Liu, Changyu & Ji, Qiang & Zhang, Dayong, 2021, "Do oil price changes really matter for clean energy returns?," Renewable and Sustainable Energy Reviews, Elsevier, volume 150, issue C, DOI: 10.1016/j.rser.2021.111429.
  21. Gupta, Rangan & Subramaniam, Sowmya & Bouri, Elie & Ji, Qiang, 2021, "Infectious disease-related uncertainty and the safe-haven characteristic of US treasury securities," International Review of Economics & Finance, Elsevier, volume 71, issue C, pages 289-298, DOI: 10.1016/j.iref.2020.09.019.
  22. Demirer, Riza & Gabauer, David & Gupta, Rangan & Ji, Qiang, 2021, "Monetary policy and speculative spillovers in financial markets," Research in International Business and Finance, Elsevier, volume 56, issue C, DOI: 10.1016/j.ribaf.2020.101373.
  23. Gupta, Rangan & Sheng, Xin & Pierdzioch, Christian & Ji, Qiang, 2021, "Disaggregated oil shocks and stock-market tail risks: Evidence from a panel of 48 economics," Research in International Business and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.ribaf.2021.101515.
  24. Dayong Zhang & Qiang Ji & Wan-Li Zhao & Nicholas J Horsewood, 2021, "Regional housing price dependency in the UK: A dynamic network approach," Urban Studies, Urban Studies Journal Limited, volume 58, issue 5, pages 1014-1031, April, DOI: 10.1177/0042098020943489.
  25. Dayong Zhang & Jun Li & Qiang Ji & Shunsuke Managi, 2021, "Climate variations, culture and economic behaviour of Chinese households," Climatic Change, Springer, volume 167, issue 1, pages 1-18, July, DOI: 10.1007/s10584-021-03145-6.
  26. Rangan Gupta & Xin Sheng & Qiang Ji, 2021, "Movements in real estate uncertainty in the United States: the role of oil shocks," Applied Economics Letters, Taylor & Francis Journals, volume 28, issue 13, pages 1059-1065, July, DOI: 10.1080/13504851.2020.1796911.
  27. Zhiwei Zhang & Dayong Zhang & Fei Wu & Qiang Ji, 2021, "Systemic risk in the Chinese financial system: A copula‐based network approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 26, issue 2, pages 2044-2063, April, DOI: 10.1002/ijfe.1892.
  28. Bing‐Yue Liu & Qiang Ji & Duc Khuong Nguyen & Ying Fan, 2021, "Dynamic dependence and extreme risk comovement: The case of oil prices and exchange rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 26, issue 2, pages 2612-2636, April, DOI: 10.1002/ijfe.1924.
  29. Xiang Xu & Jian Yu & Dayong Zhang & Qiang Ji, 2021, "Energy Insecurity, Economic Growth, And The Role Of Renewable Energy: A Cross-Country Panel Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., volume 66, issue 02, pages 323-343, March, DOI: 10.1142/S021759081943001X.

2020

  1. Tu, Qiang & Mo, Jianlei & Betz, Regina & Cui, Lianbiao & Fan, Ying & Liu, Yu, 2020, "Achieving grid parity of solar PV power in China- The role of Tradable Green Certificate," Energy Policy, Elsevier, volume 144, issue C, DOI: 10.1016/j.enpol.2020.111681.
  2. Lianbiao Cui & Yi Sun & Malin Song & Lei Zhu, 2020, "Co-financing in the green climate fund: lessons from the global environment facility," Climate Policy, Taylor & Francis Journals, volume 20, issue 1, pages 95-108, January, DOI: 10.1080/14693062.2019.1690968.
  3. Ji, Qiang & Liu, Bing-Yue & Cunado, Juncal & Gupta, Rangan, 2020, "Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching: Evidence from over a century of data," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2018.09.004.
  4. Luo, Jiawen & Ji, Qiang & Klein, Tony & Todorova, Neda & Zhang, Dayong, 2020, "On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks," Energy Economics, Elsevier, volume 89, issue C, DOI: 10.1016/j.eneco.2020.104781.
  5. Yang, Mian & Hou, Yaru & Ji, Qiang & Zhang, Dayong, 2020, "Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-DEA approach," Energy Economics, Elsevier, volume 91, issue C, DOI: 10.1016/j.eneco.2020.104931.
  6. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020, "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, volume 91, issue C, DOI: 10.1016/j.eneco.2020.104940.
  7. Zhang, Dayong & Li, Jun & Ji, Qiang, 2020, "Does better access to credit help reduce energy intensity in China? Evidence from manufacturing firms," Energy Policy, Elsevier, volume 145, issue C, DOI: 10.1016/j.enpol.2020.111710.
  8. Wang, Tiantian & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020, "Market reforms and determinants of import natural gas prices in China," Energy, Elsevier, volume 196, issue C, DOI: 10.1016/j.energy.2020.117105.
  9. Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Ji, Qiang, 2020, "Copula-based local dependence among energy, agriculture and metal commodities markets," Energy, Elsevier, volume 202, issue C, DOI: 10.1016/j.energy.2020.117762.
  10. Geng, Jiang-Bo & Xu, Xiao-Yue & Ji, Qiang, 2020, "The time-frequency impacts of natural gas prices on US economic activity," Energy, Elsevier, volume 205, issue C, DOI: 10.1016/j.energy.2020.118005.
  11. Ji, Qiang & Liu, Bing-Yue & Zhao, Wan-Li & Fan, Ying, 2020, "Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS," International Review of Financial Analysis, Elsevier, volume 68, issue C, DOI: 10.1016/j.irfa.2018.08.002.
  12. Zhu, Zhaobo & Ji, Qiang & Sun, Licheng & Zhai, Pengxiang, 2020, "Oil price shocks, investor sentiment, and asset pricing anomalies in the oil and gas industry," International Review of Financial Analysis, Elsevier, volume 70, issue C, DOI: 10.1016/j.irfa.2020.101516.
  13. Ji, Qiang & Zhang, Dayong & Zhao, Yuqian, 2020, "Searching for safe-haven assets during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, volume 71, issue C, DOI: 10.1016/j.irfa.2020.101526.
  14. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020, "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, volume 36, issue C, DOI: 10.1016/j.frl.2020.101528.
  15. Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020, "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, volume 68, issue C, DOI: 10.1016/j.resourpol.2020.101813.
  16. Xia, Tongshui & Ji, Qiang & Geng, Jiang-Bo, 2020, "Nonlinear dependence and information spillover between electricity and fuel source markets: New evidence from a multi-scale analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 537, issue C, DOI: 10.1016/j.physa.2019.122298.
  17. Wang, Ying & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020, "Regional renewable energy development in China: A multidimensional assessment," Renewable and Sustainable Energy Reviews, Elsevier, volume 124, issue C, DOI: 10.1016/j.rser.2020.109797.
  18. Wu, Fei & Zhao, Wan-Li & Ji, Qiang & Zhang, Dayong, 2020, "Dependency, centrality and dynamic networks for international commodity futures prices," International Review of Economics & Finance, Elsevier, volume 67, issue C, pages 118-132, DOI: 10.1016/j.iref.2020.01.004.
  19. Plakandaras, Vasilios & Tiwari, Aviral Kumar & Gupta, Rangan & Ji, Qiang, 2020, "Spillover of sentiment in the European Union: Evidence from time- and frequency-domains," International Review of Economics & Finance, Elsevier, volume 68, issue C, pages 105-130, DOI: 10.1016/j.iref.2020.03.014.
  20. Ji, Qiang & Bahloul, Walid & Geng, Jiang-Bo & Gupta, Rangan, 2020, "Trading behaviour connectedness across commodity markets: Evidence from the hedgers’ sentiment perspective," Research in International Business and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.ribaf.2019.101114.
  21. Marfatia, Hardik & Zhao, Wan-Li & Ji, Qiang, 2020, "Uncovering the global network of economic policy uncertainty," Research in International Business and Finance, Elsevier, volume 53, issue C, DOI: 10.1016/j.ribaf.2020.101223.
  22. Salisu, Afees A. & Gupta, Rangan & Bouri, Elie & Ji, Qiang, 2020, "The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach," Research in International Business and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.ribaf.2020.101308.
  23. Li, Yanfei & Ji, Qiang & Zhang, Dayong, 2020, "Technological catching up and innovation policies in China: What is behind this largely successful story?," Technological Forecasting and Social Change, Elsevier, volume 153, issue C, DOI: 10.1016/j.techfore.2020.119918.
  24. Yu Ma & Jun Shi & Qiang Ji, 2020, "Capital sudden stop, savings rate difference and economic growth: evidence based on 49 emerging economies," International Journal of Emerging Markets, Emerald Group Publishing Limited, volume 16, issue 8, pages 2117-2135, July, DOI: 10.1108/IJOEM-11-2019-0962.
  25. Qiang Ji & Syed Jawad Hussain Shahzad & Elie Bouri & Muhammad Tahir Suleman, 2020, "Dynamic structural impacts of oil shocks on exchange rates: lessons to learn," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), volume 9, issue 1, pages 1-19, December, DOI: 10.1186/s40008-020-00194-5.
  26. Satish Kumar & Aviral Kumar Tiwari & I. D. Raheem & Qiang Ji, 2020, "Dependence risk analysis in energy, agricultural and precious metals commodities: a pair vine copula approach," Applied Economics, Taylor & Francis Journals, volume 52, issue 28, pages 3055-3072, June, DOI: 10.1080/00036846.2019.1705240.
  27. Dayong Zhang & Wanli Zhao & Fei Wu & Qiang Ji, 2020, "Financial Integration in Asia: A Systemic View on Currency Markets," Asian Economic Papers, MIT Press, volume 19, issue 2, pages 41-58, Summer.
  28. Yao, Xing & Yi, Bowen & Yu, Yang & Fan, Ying & Zhu, Lei, 2020, "Economic analysis of grid integration of variable solar and wind power with conventional power system," Applied Energy, Elsevier, volume 264, issue C, DOI: 10.1016/j.apenergy.2020.114706.
  29. Zeng, Bingxin & Zhu, Lei & Yao, Xing, 2020, "Policy choice for end-of-pipe abatement technology adoption under technological uncertainty," Economic Modelling, Elsevier, volume 87, issue C, pages 121-130, DOI: 10.1016/j.econmod.2019.07.012.
  30. Yu, Song-min & Fan, Ying & Zhu, Lei & Eichhammer, Wolfgang, 2020, "Modeling the emission trading scheme from an agent-based perspective: System dynamics emerging from firms’ coordination among abatement options," European Journal of Operational Research, Elsevier, volume 286, issue 3, pages 1113-1128, DOI: 10.1016/j.ejor.2020.03.080.
  31. Yao, Xing & Fan, Ying & Zhu, Lei & Zhang, Xian, 2020, "Optimization of dynamic incentive for the deployment of carbon dioxide removal technology: A nonlinear dynamic approach combined with real options," Energy Economics, Elsevier, volume 86, issue C, DOI: 10.1016/j.eneco.2019.104643.
  32. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020, "The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , volume 31, issue 6, pages 1007-1030, September, DOI: 10.1177/0958305X19882388.
  33. Lei Zhu & Xing Yao & Xian Zhang, 2020, "Evaluation of cooperative mitigation: captured carbon dioxide for enhanced oil recovery," Mitigation and Adaptation Strategies for Global Change, Springer, volume 25, issue 7, pages 1261-1285, October, DOI: 10.1007/s11027-019-09906-0.
  34. Li Li & Junqi Liu & Lei Zhu & Xiao-Bing Zhang, 2020, "How to design a dynamic feed-in tariffs mechanism for renewables – a real options approach," International Journal of Production Research, Taylor & Francis Journals, volume 58, issue 14, pages 4352-4366, July, DOI: 10.1080/00207543.2019.1652776.
  35. Li Li & Junqi Liu & Lei Zhu, 2020, "Dynamics of energy technology diffusion under uncertainty," Applied Stochastic Models in Business and Industry, John Wiley & Sons, volume 36, issue 5, pages 795-808, September, DOI: 10.1002/asmb.2530.
  36. Lei Zhu & Lianbiao Cui & Joachim Schleich, 2020, "Designing A Globally Acceptable Carbon Tax Scheme To Address Competitiveness And Leakage Concerns," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., volume 11, issue 02, pages 1-21, May, DOI: 10.1142/S2010007820500086.

2019

  1. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019, "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, volume 78, issue C, pages 589-597, DOI: 10.1016/j.eneco.2018.12.011.
  2. Cui, Lianbiao & Li, Rongjing & Song, Malin & Zhu, Lei, 2019, "Can China achieve its 2030 energy development targets by fulfilling carbon intensity reduction commitments?," Energy Economics, Elsevier, volume 83, issue C, pages 61-73, DOI: 10.1016/j.eneco.2019.06.016.
  3. Delian Feng & Qun Chen & Malin Song & Lianbiao Cui, 2019, "Relationship Between the Degree of Internationalization and Performance in Manufacturing Enterprises of the Yangtze River Delta Region," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 55, issue 7, pages 1455-1471, May, DOI: 10.1080/1540496X.2018.1547190.
  4. Lianbiao Cui & Yi Sun & Rasa Melnikiene & Malin Song & Jianlei Mo, 2019, "Exploring the impacts of Sino–US trade disruptions with a multi-regional CGE model," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, volume 32, issue 1, pages 4015-4032, January, DOI: 10.1080/1331677X.2019.1679211.
  5. Xia, Yan & Kong, Yishu & Ji, Qiang & Zhang, Dayong, 2019, "Impacts of China-US trade conflicts on the energy sector," China Economic Review, Elsevier, volume 58, issue C, DOI: 10.1016/j.chieco.2019.101360.
  6. Zhang, Dayong & Lei, Lei & Ji, Qiang & Kutan, Ali M., 2019, "Economic policy uncertainty in the US and China and their impact on the global markets," Economic Modelling, Elsevier, volume 79, issue C, pages 47-56, DOI: 10.1016/j.econmod.2018.09.028.
  7. Ji, Qiang & Liu, Bing-Yue & Fan, Ying, 2019, "Risk dependence of CoVaR and structural change between oil prices and exchange rates: A time-varying copula model," Energy Economics, Elsevier, volume 77, issue C, pages 80-92, DOI: 10.1016/j.eneco.2018.07.012.
  8. Ji, Qiang & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2019, "Information interdependence among energy, cryptocurrency and major commodity markets," Energy Economics, Elsevier, volume 81, issue C, pages 1042-1055, DOI: 10.1016/j.eneco.2019.06.005.
  9. Ma, Yan-Ran & Zhang, Dayong & Ji, Qiang & Pan, Jiaofeng, 2019, "Spillovers between oil and stock returns in the US energy sector: Does idiosyncratic information matter?," Energy Economics, Elsevier, volume 81, issue C, pages 536-544, DOI: 10.1016/j.eneco.2019.05.003.
  10. Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019, "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104564.
  11. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019, "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, volume 126, issue C, pages 99-107, DOI: 10.1016/j.enpol.2018.11.019.
  12. Ji, Qiang & Zhang, Dayong, 2019, "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, volume 128, issue C, pages 114-124, DOI: 10.1016/j.enpol.2018.12.047.
  13. Li, Jiajia & Zhang, Jian & Zhang, Dayong & Ji, Qiang, 2019, "Does gender inequality affect household green consumption behaviour in China?," Energy Policy, Elsevier, volume 135, issue C, DOI: 10.1016/j.enpol.2019.111071.
  14. Zhang, Dayong & Ji, Qiang & Kutan, Ali M., 2019, "Dynamic transmission mechanisms in global crude oil prices: Estimation and implications," Energy, Elsevier, volume 175, issue C, pages 1181-1193, DOI: 10.1016/j.energy.2019.03.162.
  15. Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019, "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 257-272, DOI: 10.1016/j.irfa.2018.12.002.
  16. Kumar, Satish & Tiwari, Aviral Kumar & Chauhan, Yogesh & Ji, Qiang, 2019, "Dependence structure between the BRICS foreign exchange and stock markets using the dependence-switching copula approach," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 273-284, DOI: 10.1016/j.irfa.2018.12.011.
  17. Ji, Qiang & Zhang, Dayong, 2019, "China’s crude oil futures: Introduction and some stylized facts," Finance Research Letters, Elsevier, volume 28, issue C, pages 376-380, DOI: 10.1016/j.frl.2018.06.005.
  18. Ji, Qiang & Li, Jianping & Sun, Xiaolei, 2019, "Measuring the interdependence between investor sentiment and crude oil returns: New evidence from the CFTC's disaggregated reports," Finance Research Letters, Elsevier, volume 30, issue C, pages 420-425, DOI: 10.1016/j.frl.2019.02.005.
  19. Boako, Gideon & Tiwari, Aviral Kumar & Ibrahim, Muazu & Ji, Qiang, 2019, "Analysing dynamic dependence between gold and stock returns: Evidence using stochastic and full-range tail dependence copula models," Finance Research Letters, Elsevier, volume 31, issue C, DOI: 10.1016/j.frl.2018.12.008.
  20. Ji, Qiang & Gupta, Rangan & Bekun, Festus Victor & Balcilar, Mehmet, 2019, "Spillover of mortgage default risks in the United States: Evidence from metropolitan statistical areas and states," The Journal of Economic Asymmetries, Elsevier, volume 19, issue C, pages 1-1, DOI: 10.1016/j.jeca.2019.e00114.
  21. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019, "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, volume 63, issue C, pages 1-1, DOI: 10.1016/j.resourpol.2019.101470.
  22. Cuilin Li & Ya-Juan Du & Qiang Ji & Jiang-bo Geng, 2019, "Multiscale Market Integration and Nonlinear Granger Causality between Natural Gas Futures and Physical Markets," Sustainability, MDPI, volume 11, issue 19, pages 1-23, October.
  23. Qiang Ji & Jianping Li & Xiaolei Sun, 2019, "New Challenge and Research Development in Global Energy Financialization," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 55, issue 12, pages 2669-2672, September, DOI: 10.1080/1540496X.2019.1636588.
  24. Yan‐ran Ma & Qiang Ji & Jiaofeng Pan, 2019, "Oil financialization and volatility forecast: Evidence from multidimensional predictors," Journal of Forecasting, John Wiley & Sons, Ltd., volume 38, issue 6, pages 564-581, September, DOI: 10.1002/for.2577.
  25. Pan, Yingjie & Yao, Xing & Wang, Xin & Zhu, Lei, 2019, "Policy uncertainties: What investment choice for solar panel producers?," Energy Economics, Elsevier, volume 78, issue C, pages 454-467, DOI: 10.1016/j.eneco.2018.11.022.
  26. Wang, Xu & Zhang, Xiao-Bing & Zhu, Lei, 2019, "Imperfect market, emissions trading scheme, and technology adoption: A case study of an energy-intensive sector," Energy Economics, Elsevier, volume 81, issue C, pages 142-158, DOI: 10.1016/j.eneco.2019.03.014.
  27. Zhu, Lei & Xu, Yuan & Pan, Yingjie, 2019, "Enabled comparative advantage strategy in China's solar PV development," Energy Policy, Elsevier, volume 133, issue C, DOI: 10.1016/j.enpol.2019.110880.
  28. Yao, Xing & Fan, Ying & Xu, Yuan & Zhang, Xian & Zhu, Lei & Feng, Lianyong, 2019, "Is it worth to invest? -An evaluation of CTL-CCS project in China based on real options," Energy, Elsevier, volume 182, issue C, pages 920-931, DOI: 10.1016/j.energy.2019.06.100.
  29. Bingxin Zeng & Lei Zhu, 2019, "Market Power and Technology Diffusion in an Energy-Intensive Sector Covered by an Emissions Trading Scheme," Sustainability, MDPI, volume 11, issue 14, pages 1-18, July.

2018

  1. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018, "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, volume 231, issue C, pages 937-950, DOI: 10.1016/j.apenergy.2018.09.179.
  2. Cui, Lianbiao & Huang, Yuran, 2018, "Exploring the Schemes for Green Climate Fund Financing: International Lessons," World Development, Elsevier, volume 101, issue C, pages 173-187, DOI: 10.1016/j.worlddev.2017.08.009.
  3. Yuwan Duan & Erik Dietzenbacher & Xuemei Jiang & Xikang Chen & Cuihong Yang, 2018, "Why has China’s vertical specialization declined?," Economic Systems Research, Taylor & Francis Journals, volume 30, issue 2, pages 178-200, April, DOI: 10.1080/09535314.2018.1431610.
  4. Van Ha Le & Jakob De Haan & Erik Dietzenbacher, 2018, "Industry Wages Across Countries and Over Time: A New Database of Micro Survey Data," Review of Income and Wealth, International Association for Research in Income and Wealth, volume 64, issue 1, pages 1-25, March, DOI: 10.1111/roiw.12264.
  5. Timon Bohn & Steven Brakman & Erik Dietzenbacher, 2018, "The role of services in globalisation," The World Economy, Wiley Blackwell, volume 41, issue 10, pages 2732-2749, October, DOI: 10.1111/twec.12640.
  6. Ji, Qiang & Marfatia, Hardik & Gupta, Rangan, 2018, "Information spillover across international real estate investment trusts: Evidence from an entropy-based network analysis," The North American Journal of Economics and Finance, Elsevier, volume 46, issue C, pages 103-113, DOI: 10.1016/j.najef.2018.04.002.
  7. Ji, Qiang & Zhang, Hai-Ying & Geng, Jiang-Bo, 2018, "What drives natural gas prices in the United States? – A directed acyclic graph approach," Energy Economics, Elsevier, volume 69, issue C, pages 79-88, DOI: 10.1016/j.eneco.2017.11.002.
  8. Ji, Qiang & Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018, "Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model," Energy Economics, Elsevier, volume 75, issue C, pages 14-27, DOI: 10.1016/j.eneco.2018.08.015.
  9. Ji, Qiang & Geng, Jiang-Bo & Tiwari, Aviral Kumar, 2018, "Information spillovers and connectedness networks in the oil and gas markets," Energy Economics, Elsevier, volume 75, issue C, pages 71-84, DOI: 10.1016/j.eneco.2018.08.013.
  10. Ji, Qiang & Liu, Bing-Yue & Nehler, Henrik & Uddin, Gazi Salah, 2018, "Uncertainties and extreme risk spillover in the energy markets: A time-varying copula-based CoVaR approach," Energy Economics, Elsevier, volume 76, issue C, pages 115-126, DOI: 10.1016/j.eneco.2018.10.010.
  11. Luo, Jiawen & Ji, Qiang, 2018, "High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets," Energy Economics, Elsevier, volume 76, issue C, pages 424-438, DOI: 10.1016/j.eneco.2018.10.031.
  12. Zhang, Yi & Ji, Qiang & Fan, Ying, 2018, "The price and income elasticity of China's natural gas demand: A multi-sectoral perspective," Energy Policy, Elsevier, volume 113, issue C, pages 332-341, DOI: 10.1016/j.enpol.2017.11.014.
  13. Zhang, Dayong & Ji, Qiang, 2018, "Further evidence on the debate of oil-gas price decoupling: A long memory approach," Energy Policy, Elsevier, volume 113, issue C, pages 68-75, DOI: 10.1016/j.enpol.2017.10.046.
  14. Ji, Qiang & Bouri, Elie & Roubaud, David, 2018, "Dynamic network of implied volatility transmission among US equities, strategic commodities, and BRICS equities," International Review of Financial Analysis, Elsevier, volume 57, issue C, pages 1-12, DOI: 10.1016/j.irfa.2018.02.001.
  15. Ji, Qiang & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2018, "Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach," The Quarterly Review of Economics and Finance, Elsevier, volume 70, issue C, pages 203-213, DOI: 10.1016/j.qref.2018.05.016.
  16. Jia, Jun-Jun & Xu, Jin-Hua & Fan, Ying & Ji, Qiang, 2018, "Willingness to accept energy-saving measures and adoption barriers in the residential sector: An empirical analysis in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, volume 95, issue C, pages 56-73, DOI: 10.1016/j.rser.2018.07.015.
  17. Qiang Ji & Ying Fan & Mike Troilo & Ronald D. Ripple & Lianyong Feng, 2018, "China’s Natural Gas Demand Projections and Supply Capacity Analysis in 2030," The Energy Journal, , volume 39, issue 6, pages 53-70, November, DOI: 10.5547/01956574.39.6.qji.
  18. Wang, Xu & Zhu, Lei & Fan, Ying, 2018, "Transaction costs, market structure and efficient coverage of emissions trading scheme: A microlevel study from the pilots in China," Applied Energy, Elsevier, volume 220, issue C, pages 657-671, DOI: 10.1016/j.apenergy.2018.03.080.
  19. Yao, Xing & Zhong, Ping & Zhang, Xian & Zhu, Lei, 2018, "Business model design for the carbon capture utilization and storage (CCUS) project in China," Energy Policy, Elsevier, volume 121, issue C, pages 519-533, DOI: 10.1016/j.enpol.2018.06.019.
  20. Xin Liu & Yuan Li & Dayong Zhang & Lei Zhu, 2018, "On the Effectiveness of the Abatement Policy Mix: A Case Study of China’s Energy-Intensive Sectors," Energies, MDPI, volume 11, issue 3, pages 1-31, March.

2017

  1. Lian-Biao Cui & Ma-Lin Song, 2017, "Designing and Forecasting the Differentiated Carbon Tax Scheme Based on the Principle of Ability to Pay," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., volume 34, issue 01, pages 1-25, February, DOI: 10.1142/S0217595917400048.
  2. Jiansuo Pei & Jan Oosterhaven & Erik Dietzenbacher, 2017, "Foreign exports, net interregional spillovers and Chinese regional supply chains," Papers in Regional Science, Wiley Blackwell, volume 96, issue 2, pages 281-298, June.
  3. Manfred Lenzen & Arne Geschke & Muhammad Daaniyall Abd Rahman & Yanyan Xiao & Jacob Fry & Rachel Reyes & Erik Dietzenbacher & Satoshi Inomata & Keiichiro Kanemoto & Bart Los & Daniel Moran & Hagen Sch, 2017, "The Global MRIO Lab – charting the world economy," Economic Systems Research, Taylor & Francis Journals, volume 29, issue 2, pages 158-186, April, DOI: 10.1080/09535314.2017.1301887.
  4. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2017, "The relationship between regional natural gas markets and crude oil markets from a multi-scale nonlinear Granger causality perspective," Energy Economics, Elsevier, volume 67, issue C, pages 98-110, DOI: 10.1016/j.eneco.2017.08.006.
  5. Liu, Bing-Yue & Ji, Qiang & Fan, Ying, 2017, "Dynamic return-volatility dependence and risk measure of CoVaR in the oil market: A time-varying mixed copula model," Energy Economics, Elsevier, volume 68, issue C, pages 53-65, DOI: 10.1016/j.eneco.2017.09.011.
  6. Shaikh, Faheemullah & Ji, Qiang & Shaikh, Pervez Hameed & Mirjat, Nayyar Hussain & Uqaili, Muhammad Aslam, 2017, "Forecasting China’s natural gas demand based on optimised nonlinear grey models," Energy, Elsevier, volume 140, issue P1, pages 941-951, DOI: 10.1016/j.energy.2017.09.037.
  7. Bing-Yue Liu & Qiang Ji & Ying Fan, 2017, "A new time-varying optimal copula model identifying the dependence across markets," Quantitative Finance, Taylor & Francis Journals, volume 17, issue 3, pages 437-453, March, DOI: 10.1080/14697688.2016.1205208.
  8. Zhang, Xiao-Bing & Zhu, Lei, 2017, "Strategic carbon taxation and energy pricing under the threat of climate tipping events," Economic Modelling, Elsevier, volume 60, issue C, pages 352-363, DOI: 10.1016/j.econmod.2016.09.013.
  9. Zhu, Lei & Zhang, Xiao-Bing & Li, Yuan & Wang, Xu & Guo, Jianxin, 2017, "Can an emission trading scheme promote the withdrawal of outdated capacity in energy-intensive sectors? A case study on China's iron and steel industry," Energy Economics, Elsevier, volume 63, issue C, pages 332-347, DOI: 10.1016/j.eneco.2017.02.004.
  10. Song-min Yu & Lei Zhu, 2017, "Impact of Firms’ Observation Network on the Carbon Market," Energies, MDPI, volume 10, issue 8, pages 1-14, August.

2016

  1. Chen, Quanrun & Dietzenbacher, Erik & Los, Bart & Yang, Cuihong, 2016, "Modeling the short-run effect of fiscal stimuli on GDP: A new semi-closed input–output model," Economic Modelling, Elsevier, volume 58, issue C, pages 52-63, DOI: 10.1016/j.econmod.2016.05.016.
  2. Saari, M. Yusof & Dietzenbacher, Erik & Los, Bart, 2016, "The impacts of petroleum price fluctuations on income distribution across ethnic groups in Malaysia," Ecological Economics, Elsevier, volume 130, issue C, pages 25-36, DOI: 10.1016/j.ecolecon.2016.05.021.
  3. Ji, Qiang & Fan, Ying, 2016, "Evolution of the world crude oil market integration: A graph theory analysis," Energy Economics, Elsevier, volume 53, issue C, pages 90-100, DOI: 10.1016/j.eneco.2014.12.003.
  4. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016, "The impact of the North American shale gas revolution on regional natural gas markets: Evidence from the regime-switching model," Energy Policy, Elsevier, volume 96, issue C, pages 167-178, DOI: 10.1016/j.enpol.2016.05.047.
  5. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016, "The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective," Energy, Elsevier, volume 101, issue C, pages 266-277, DOI: 10.1016/j.energy.2016.02.045.
  6. Ji, Qiang & Fan, Ying, 2016, "How do China's oil markets affect other commodity markets both domestically and internationally?," Finance Research Letters, Elsevier, volume 19, issue C, pages 247-254, DOI: 10.1016/j.frl.2016.08.009.
  7. Shaikh, Faheemullah & Ji, Qiang & Fan, Ying, 2016, "Prospects of Pakistan–China Energy and Economic Corridor," Renewable and Sustainable Energy Reviews, Elsevier, volume 59, issue C, pages 253-263, DOI: 10.1016/j.rser.2015.12.361.
  8. Ji, Qiang & Fan, Ying, 2016, "Modelling the joint dynamics of oil prices and investor fear gauge," Research in International Business and Finance, Elsevier, volume 37, issue C, pages 242-251, DOI: 10.1016/j.ribaf.2015.11.016.
  9. Jiang-Bo Geng & Qiang Ji, 2016, "Technological innovation and renewable energy development: evidence based on patent counts," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, volume 15, issue 3, pages 217-234.
  10. David C. Broadstock & Ying Fan & Qiang Ji & Dayong Zhang, 2016, "Shocks and Stocks: A Bottom-up Assessment of the Relationship Between Oil Prices, Gasoline Prices and the Returns of Chinese Firms," The Energy Journal, , volume 37, issue 1_suppl, pages 55-86, January, DOI: 10.5547/01956574.37.SI1.dbro.
  11. Guo, Jian-Xin & Zhu, Lei & Fan, Ying, 2016, "Emission path planning based on dynamic abatement cost curve," European Journal of Operational Research, Elsevier, volume 255, issue 3, pages 996-1013, DOI: 10.1016/j.ejor.2016.06.023.
  12. Duan, Hong-Bo & Zhang, Gu-Peng & Zhu, Lei & Fan, Ying & Wang, Shou-Yang, 2016, "How will diffusion of PV solar contribute to China׳s emissions-peaking and climate responses?," Renewable and Sustainable Energy Reviews, Elsevier, volume 53, issue C, pages 1076-1085, DOI: 10.1016/j.rser.2015.09.021.
  13. Changsheng Li & Ying Fan & Lei Zhu, 2016, "The Emission Taxes Refunding Scheme Based on Output Subsidies with an Exogenous Abatement Target," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 52, issue 6, pages 1385-1394, June, DOI: 10.1080/1540496X.2016.1152826.

2015

  1. Cui, Lian-Biao & Peng, Pan & Zhu, Lei, 2015, "Embodied energy, export policy adjustment and China's sustainable development: A multi-regional input-output analysis," Energy, Elsevier, volume 82, issue C, pages 457-467, DOI: 10.1016/j.energy.2015.01.056.
  2. Malin Song & Lianbiao Cui, 2015, "Development, Challenges and Prospects of Clean Coal," Energy & Environment, , volume 26, issue 6-7, pages 1-1, November, DOI: 10.1260/0958-305X.26.6-7.i.
  3. Cuihong Yang & Erik Dietzenbacher & Jiansuo Pei & Xikang Chen & Kunfu Zhu & Zhipeng Tang, 2015, "Processing Trade Biases The Measurement Of Vertical Specialization In China," Economic Systems Research, Taylor & Francis Journals, volume 27, issue 1, pages 60-76, March, DOI: 10.1080/09535314.2014.955463.
  4. Quanrun Chen & Erik Dietzenbacher & Bart Los, 2015, "Structural decomposition analyses: the differences between applying the semi-closed and the open input–output model," Environment and Planning A, , volume 47, issue 8, pages 1713-1735, August, DOI: 10.1177/0308518X15597101.
  5. Erik Dietzenbacher & Ronald E. Miller, 2015, "Reflections On The Inoperability Input--Output Model," Economic Systems Research, Taylor & Francis Journals, volume 27, issue 4, pages 478-486, December, DOI: 10.1080/09535314.2015.1052375.
  6. Saari, M. Yusof & Dietzenbacher, Erik & Los, Bart, 2015, "Sources of Income Growth and Inequality Across Ethnic Groups in Malaysia, 1970–2000," World Development, Elsevier, volume 76, issue C, pages 311-328, DOI: 10.1016/j.worlddev.2015.07.015.
  7. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015, "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, volume 23, issue 3, pages 575-605, August.
  8. Ji, Qiang & Guo, Jian-Feng, 2015, "Oil price volatility and oil-related events: An Internet concern study perspective," Applied Energy, Elsevier, volume 137, issue C, pages 256-264, DOI: 10.1016/j.apenergy.2014.10.002.
  9. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2015, "What drives the formation of global oil trade patterns?," Energy Economics, Elsevier, volume 49, issue C, pages 639-648, DOI: 10.1016/j.eneco.2015.02.017.
  10. Ji, Qiang & Guo, Jian-Feng, 2015, "Market interdependence among commodity prices based on information transmission on the Internet," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 426, issue C, pages 35-44, DOI: 10.1016/j.physa.2015.01.054.
  11. Shaikh, Faheemullah & Ji, Qiang & Fan, Ying, 2015, "The diagnosis of an electricity crisis and alternative energy development in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, volume 52, issue C, pages 1172-1185, DOI: 10.1016/j.rser.2015.08.009.
  12. Qiang Ji & Ming-Lei Liu & Ying Fan, 2015, "Effects of Structural Oil Shocks on Output, Exchange Rate, and Inflation in the BRICS Countries: A Structural Vector Autoregression Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 51, issue 6, pages 1129-1140, November, DOI: 10.1080/1540496X.2015.1080505.
  13. Mo, Jian-Lei & Schleich, Joachim & Zhu, Lei & Fan, Ying, 2015, "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Energy Economics, Elsevier, volume 52, issue PB, pages 255-264, DOI: 10.1016/j.eneco.2015.11.009.
  14. Zhu, Lei & Zhang, ZhongXiang & Fan, Ying, 2015, "Overseas oil investment projects under uncertainty: How to make informed decisions?," Journal of Policy Modeling, Elsevier, volume 37, issue 5, pages 742-762, DOI: 10.1016/j.jpolmod.2015.08.001.
  15. Lei Zhu & Xin Liu, 2015, "Promoting the Carbon Removal in Coal Utilization-A Benefit-Risk Analysis among Full-Chain Carbon Capture and Utilization Project," Energy & Environment, , volume 26, issue 6-7, pages 1035-1053, November, DOI: 10.1260/0958-305X.26.6-7.1035.

2014

  1. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014, "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, volume 136, issue C, pages 1043-1052, DOI: 10.1016/j.apenergy.2014.05.021.
  2. Saari, M. Yusof & Dietzenbacher, Erik & Los, Bart, 2014, "Production interdependencies and poverty reduction across ethnic groups in Malaysia," Economic Modelling, Elsevier, volume 42, issue C, pages 146-158, DOI: 10.1016/j.econmod.2014.06.008.
  3. M. Yusof Saari & Erik Dietzenbacher & Bart Los, 2014, "Income Distribution across Ethnic Groups in Malaysia: Results from a New Social Accounting Matrix," Asian Economic Journal, East Asian Economic Association, volume 28, issue 3, pages 259-278, September.
  4. Malik, Arunima & Lenzen, Manfred & Ely, Rômulo Neves & Dietzenbacher, Erik, 2014, "Simulating the impact of new industries on the economy: The case of biorefining in Australia," Ecological Economics, Elsevier, volume 107, issue C, pages 84-93, DOI: 10.1016/j.ecolecon.2014.07.022.
  5. Xuemei Jiang & Erik Dietzenbacher & Bart Los, 2014, "A dissection of the growth of regional disparities in Chinese labor productivity between 1997 and 2002," The Annals of Regional Science, Springer;Western Regional Science Association, volume 52, issue 2, pages 513-536, March, DOI: 10.1007/s00168-014-0597-1.
  6. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2014, "A dynamic analysis on global natural gas trade network," Applied Energy, Elsevier, volume 132, issue C, pages 23-33, DOI: 10.1016/j.apenergy.2014.06.064.
  7. Ji, Qiang & Geng, Jiang-Bo & Fan, Ying, 2014, "Separated influence of crude oil prices on regional natural gas import prices," Energy Policy, Elsevier, volume 70, issue C, pages 96-105, DOI: 10.1016/j.enpol.2014.03.019.
  8. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2014, "Competition, transmission and pattern evolution: A network analysis of global oil trade," Energy Policy, Elsevier, volume 73, issue C, pages 312-322, DOI: 10.1016/j.enpol.2014.06.020.
  9. Geng, Jiang-Bo & Ji, Qiang, 2014, "Multi-perspective analysis of China's energy supply security," Energy, Elsevier, volume 64, issue C, pages 541-550, DOI: 10.1016/j.energy.2013.11.036.
  10. Li, Yuan & Zhu, Lei, 2014, "Cost of energy saving and CO2 emissions reduction in China’s iron and steel sector," Applied Energy, Elsevier, volume 130, issue C, pages 603-616, DOI: 10.1016/j.apenergy.2014.04.014.
  11. Duan, Hong-Bo & Zhu, Lei & Fan, Ying, 2014, "Optimal carbon taxes in carbon-constrained China: A logistic-induced energy economic hybrid model," Energy, Elsevier, volume 69, issue C, pages 345-356, DOI: 10.1016/j.energy.2014.03.022.
  12. Duan, Hong-Bo & Zhu, Lei & Fan, Ying, 2014, "A cross-country study on the relationship between diffusion of wind and photovoltaic solar technology," Technological Forecasting and Social Change, Elsevier, volume 83, issue C, pages 156-169, DOI: 10.1016/j.techfore.2013.07.005.
  13. Changsheng Li & Lei Zhu & Tobias Fleiter, 2014, "Energy Efficiency Potentials in the Chlor-Alkali Sector — A Case Study of Shandong Province in China," Energy & Environment, , volume 25, issue 3-4, pages 661-686, April, DOI: 10.1260/0958-305X.25.3-4.661.
  14. Jian-Lei Mo & Lei Zhu, 2014, "Using Floor Price Mechanisms to Promote Carbon Capture and Storage (Ccs) Investment and Co2 Abatement," Energy & Environment, , volume 25, issue 3-4, pages 687-707, April, DOI: 10.1260/0958-305X.25.3-4.687.

2013

  1. Arnold Tukker & Erik Dietzenbacher, 2013, "Global Multiregional Input-Output Frameworks: An Introduction And Outlook," Economic Systems Research, Taylor & Francis Journals, volume 25, issue 1, pages 1-19, March, DOI: 10.1080/09535314.2012.761179.
  2. Erik Dietzenbacher & Bart Los & Robert Stehrer & Marcel Timmer & Gaaitzen de Vries, 2013, "The Construction Of World Input-Output Tables In The Wiod Project," Economic Systems Research, Taylor & Francis Journals, volume 25, issue 1, pages 71-98, March, DOI: 10.1080/09535314.2012.761180.
  3. Erik Dietzenbacher & Manfred Lenzen & Bart Los & Dabo Guan & Michael L. Lahr & Ferran Sancho & Sangwon Suh & Cuihong Yang, 2013, "Input--Output Analysis: The Next 25 Years," Economic Systems Research, Taylor & Francis Journals, volume 25, issue 4, pages 369-389, December, DOI: 10.1080/09535314.2013.846902.
  4. Erik Dietzenbacher & Michael L. Lahr, 2013, "Expanding Extractions," Economic Systems Research, Taylor & Francis Journals, volume 25, issue 3, pages 341-360, September, DOI: 10.1080/09535314.2013.774266.
  5. Jos� M. Rueda-Cantuche & Erik Dietzenbacher & Esteban Fern�ndez & Antonio F. Amores, 2013, "The Bias Of The Multiplier Matrix When Supply And Use Tables Are Stochastic," Economic Systems Research, Taylor & Francis Journals, volume 25, issue 4, pages 435-448, December, DOI: 10.1080/09535314.2013.776947.
  6. Guo, Jian-Feng & Ji, Qiang, 2013, "How does market concern derived from the Internet affect oil prices?," Applied Energy, Elsevier, volume 112, issue C, pages 1536-1543, DOI: 10.1016/j.apenergy.2013.03.027.
  7. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013, "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, volume 38, issue C, pages 87-95, DOI: 10.1016/j.eneco.2013.03.014.
  8. Liu, Ming-Lei & Ji, Qiang & Fan, Ying, 2013, "How does oil market uncertainty interact with other markets? An empirical analysis of implied volatility index," Energy, Elsevier, volume 55, issue C, pages 860-868, DOI: 10.1016/j.energy.2013.04.037.
  9. Duan, Hong-Bo & Fan, Ying & Zhu, Lei, 2013, "What’s the most cost-effective policy of CO2 targeted reduction: An application of aggregated economic technological model with CCS?," Applied Energy, Elsevier, volume 112, issue C, pages 866-875, DOI: 10.1016/j.apenergy.2013.01.047.
  10. Zhu, Lei & Fan, Ying, 2013, "Modelling the investment in carbon capture retrofits of pulverized coal-fired plants," Energy, Elsevier, volume 57, issue C, pages 66-75, DOI: 10.1016/j.energy.2013.03.072.
  11. Fan, Ying & Mo, Jian-Lei & Zhu, Lei, 2013, "Evaluating coal bed methane investment in China based on a real options model," Resources Policy, Elsevier, volume 38, issue 1, pages 50-59, DOI: 10.1016/j.resourpol.2012.08.002.
  12. Lin-Ju Chen & Lei Zhu & Ying Fan & Sheng-Hua Cai, 2013, "Long-Term Impacts of Carbon Tax and Feed-in Tariff Policies on China's Generating Portfolio and Carbon Emissions: A Multi-Agent-Based Analysis," Energy & Environment, , volume 24, issue 7-8, pages 1271-1293, December, DOI: 10.1260/0958-305X.24.7-8.1271.

2012

  1. Guan, Jiancheng & Chen, Kaihua, 2012, "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, volume 41, issue 1, pages 102-115, DOI: 10.1016/j.respol.2011.07.001.
  2. Kaihua Chen & Jiancheng Guan, 2012, "Measuring the Efficiency of China's Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA)," Regional Studies, Taylor & Francis Journals, volume 46, issue 3, pages 355-377, April, DOI: 10.1080/00343404.2010.497479.
  3. Xuemei Jiang & Erik Dietzenbacher & Bart Los, 2012, "Improved Estimation of Regional Input--Output Tables Using Cross-regional Methods," Regional Studies, Taylor & Francis Journals, volume 46, issue 5, pages 621-637, August, DOI: 10.1080/00343404.2010.522566.
  4. Dietzenbacher, Erik & Pei, Jiansuo & Yang, Cuihong, 2012, "Trade, production fragmentation, and China's carbon dioxide emissions," Journal of Environmental Economics and Management, Elsevier, volume 64, issue 1, pages 88-101, DOI: 10.1016/j.jeem.2011.12.003.
  5. Jiansuo Pei & Jan Oosterhaven & Erik Dietzenbacher, 2012, "How Much Do Exports Contribute To China'S Income Growth?," Economic Systems Research, Taylor & Francis Journals, volume 24, issue 3, pages 275-297, January, DOI: 10.1080/09535314.2012.660746.
  6. Erik Dietzenbacher & Umed Temurshoev, 2012, "Input-output impact analysis in current or constant prices: does it matter?," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), volume 1, issue 1, pages 1-18, December, DOI: 10.1186/2193-2409-1-4.
  7. Jun Lan & Manfred Lenzen & Erik Dietzenbacher & Daniel Moran & Keiichiro Kanemoto & Joy Murray & Arne Geschke, 2012, "Structural Change and the Environment," Journal of Industrial Ecology, Yale University, volume 16, issue 4, pages 623-635, August, DOI: 10.1111/j.1530-9290.2012.00518.x.
  8. Mo, Jian-Lei & Zhu, Lei & Fan, Ying, 2012, "The impact of the EU ETS on the corporate value of European electricity corporations," Energy, Elsevier, volume 45, issue 1, pages 3-11, DOI: 10.1016/j.energy.2012.02.037.

2011

  1. Chen, Kaihua & Guan, Jiancheng, 2011, "Mapping the functionality of China's regional innovation systems: A structural approach," China Economic Review, Elsevier, volume 22, issue 1, pages 11-27, March.
  2. Jiansuo Pei & Erik Dietzenbacher & Jan Oosterhaven & Cuihong Yang, 2011, "Accounting for China's Import Growth: A Structural Decomposition for 1997–2005," Environment and Planning A, , volume 43, issue 12, pages 2971-2991, December, DOI: 10.1068/a43396.
  3. Ji, Qiang & Fan, Ying, 2011, "A dynamic hedging approach for refineries in multiproduct oil markets," Energy, Elsevier, volume 36, issue 2, pages 881-887, DOI: 10.1016/j.energy.2010.12.025.
  4. Zhu, Lei & Fan, Ying, 2011, "A real options–based CCS investment evaluation model: Case study of China’s power generation sector," Applied Energy, Elsevier, volume 88, issue 12, pages 4320-4333, DOI: 10.1016/j.apenergy.2011.04.005.
  5. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011, "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, volume 39, issue 5, pages 2352-2360, May.

2010

  1. Erik Dietzenbacher, 2010, "Vertical specialization in an intercountry input-output framework," Letters in Spatial and Resource Sciences, Springer, volume 3, issue 3, pages 127-136, October, DOI: 10.1007/s12076-010-0043-7.
  2. Serrano, Mònica & Dietzenbacher, Erik, 2010, "Responsibility and trade emission balances: An evaluation of approaches," Ecological Economics, Elsevier, volume 69, issue 11, pages 2224-2232, September.
  3. Xuemei Jiang & Erik Dietzenbacher & Bart Los, 2010, "Targeting the Collection of Superior Data for the Estimation of the Intermediate Deliveries in Regional Input–Output Tables," Environment and Planning A, , volume 42, issue 10, pages 2508-2526, October, DOI: 10.1068/a4316.
  4. Fan, Ying & Zhu, Lei, 2010, "A real options based model and its application to China's overseas oil investment decisions," Energy Economics, Elsevier, volume 32, issue 3, pages 627-637, May.
  5. Zhu, Lei & Fan, Ying, 2010, "Optimization of China's generating portfolio and policy implications based on portfolio theory," Energy, Elsevier, volume 35, issue 3, pages 1391-1402, DOI: 10.1016/j.energy.2009.11.024.

2009

  1. Erik Dietzenbacher & Ronald E. Miller, 2009, "Ras‐Ing The Transactions Or The Coefficients: It Makes No Difference," Journal of Regional Science, Wiley Blackwell, volume 49, issue 3, pages 555-566, August, DOI: 10.1111/j.1467-9787.2008.00598.x.
  2. Erik Dietzenbacher & Alex Hoen & Bart Los & Jan Meist, 2009, "International convergence and divergence of material input structures: an industry-level perspective," Applied Economics, Taylor & Francis Journals, volume 41, issue 26, pages 3337-3344, DOI: 10.1080/00036840701439355.
  3. Liu, Z. & Li, X. & Ge, X., 2009, "Left too early: The effects of age at separation from parents on Chinese rural children's symptoms of anxiety and depression," American Journal of Public Health, American Public Health Association, volume 99, issue 11, pages 2049-2054, DOI: 10.2105/AJPH.2008.150474.

2008

  1. Miguel angel Tarancon & Fernando Callejas & Erik Dietzenbacher & Michael Lahr, 2008, "A Revision of the Tolerable Limits Approach: Searching for the Important Coefficients," Economic Systems Research, Taylor & Francis Journals, volume 20, issue 1, pages 75-95, DOI: 10.1080/09535310801890714.
  2. Erik Dietzenbacher, 2008, "Editorial," Economic Systems Research, Taylor & Francis Journals, volume 20, issue 1, pages 1-1, DOI: 10.1080/09535310801890599.
  3. Erik Dietzenbacher, 2008, "Editorial," Economic Systems Research, Taylor & Francis Journals, volume 20, issue 2, pages 133-133, DOI: 10.1080/09535310802075224.
  4. Erik Dietzenbacher & Umed Temurshoev, 2008, "Ownership relations in the presence of cross-shareholding," Journal of Economics, Springer, volume 95, issue 3, pages 189-212, December, DOI: 10.1007/s00712-008-0018-y.

2007

  1. Erik Dietzenbacher & Kakali Mukhopadhyay, 2007, "An Empirical Examination of the Pollution Haven Hypothesis for India: Towards a Green Leontief Paradox?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, volume 36, issue 4, pages 427-449, April, DOI: 10.1007/s10640-006-9036-9.
  2. Erik Dietzenbacher & Olaf J. De Groot & Bart Los, 2007, "Consumption Growth Accounting," Review of Income and Wealth, International Association for Research in Income and Wealth, volume 53, issue 3, pages 422-439, September, DOI: 10.1111/j.1475-4991.2007.00244.x.
  3. Dipti Prakas Pal & Erik Dietzenbacher & Dipika Basu, 2007, "Economic Integration: Systemic Measures in an Input-Output Framework," Economic Systems Research, Taylor & Francis Journals, volume 19, issue 4, pages 397-408, DOI: 10.1080/09535310701698464.
  4. Erik Dietzenbacher & Esther Velazquez, 2007, "Analysing Andalusian Virtual Water Trade in an Input-Output Framework," Regional Studies, Taylor & Francis Journals, volume 41, issue 2, pages 185-196, DOI: 10.1080/00343400600929077.
  5. Erik Dietzenbacher & Isidoro Romero, 2007, "Production Chains in an Interregional Framework: Identification by Means of Average Propagation Lengths," International Regional Science Review, , volume 30, issue 4, pages 362-383, October, DOI: 10.1177/0160017607305366.

2006

  1. Erik Dietzenbacher & Alex Hoen, 2006, "Coefficient stability and predictability in input-output models: a comparative analysis for the Netherlands," Construction Management and Economics, Taylor & Francis Journals, volume 24, issue 7, pages 671-680, DOI: 10.1080/01446190600567985.
  2. Erik Dietzenbacher & Jesper Stage, 2006, "Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis," Economic Systems Research, Taylor & Francis Journals, volume 18, issue 1, pages 85-95, DOI: 10.1080/09535310500440803.
  3. Erik Dietzenbacher, 2006, "Multiplier Estimates: To Bias Or Not To Bias?," Journal of Regional Science, Wiley Blackwell, volume 46, issue 4, pages 773-786, October, DOI: 10.1111/j.1467-9787.2006.00477.x.

2005

  1. Dietzenbacher, Erik, 2005, "Waste treatment in physical input-output analysis," Ecological Economics, Elsevier, volume 55, issue 1, pages 11-23, October.
  2. Erik Dietzenbacher, 2005, "More on multipliers," Journal of Regional Science, Wiley Blackwell, volume 45, issue 2, pages 421-426, May, DOI: 10.1111/j.0022-4146.2005.00377.x.

2003

  1. Erik Dietzenbacher, 2003, "Editorial," Economic Systems Research, Taylor & Francis Journals, volume 15, issue 3, pages 267-267, DOI: 10.1080/0953531032000111763.
  2. Erik Dietzenbacher, 2003, "Report on the Montreal Conference," Economic Systems Research, Taylor & Francis Journals, volume 15, issue 3, pages 399-414, DOI: 10.1080/0953531032000111826.
  3. Vito Albino & Erik Dietzenbacher & Silvana Kuhtz, 2003, "Analysing Materials and Energy Flows in an Industrial District using an Enterprise Input-Output Model," Economic Systems Research, Taylor & Francis Journals, volume 15, issue 4, pages 457-480, DOI: 10.1080/0953531032000152326.
  4. Erik Dietzenbacher, 2003, "Annual Report of the IIOA, 2002," Economic Systems Research, Taylor & Francis Journals, volume 15, issue 3, pages 415-419, DOI: 10.1080/0953531032000111835.
  5. Erik Dietzenbacher & Gülay Günlük-Şenesen, 2003, "Demand-Pull and Cost-Push Effects on Labor Income in Turkey, 1973–90," Environment and Planning A, , volume 35, issue 10, pages 1785-1807, October, DOI: 10.1068/a35302.

2002

  1. Erik Dietzenbacher, 2002, "Interregional Multipliers: Looking Backward, Looking Forward," Regional Studies, Taylor & Francis Journals, volume 36, issue 2, pages 125-136, DOI: 10.1080/00343400220121918.

2000

  1. Dietzenbacher, Erik, 2000, "Spillovers of Innovation Effects," Journal of Policy Modeling, Elsevier, volume 22, issue 1, pages 27-42, January.
  2. Dietzenbacher, Erik & Smid, Bert & Volkerink, Bjorn, 2000, "Horizontal integration in the Dutch financial sector," International Journal of Industrial Organization, Elsevier, volume 18, issue 8, pages 1223-1242, December.
  3. Erik Dietzenbacher & Bart Los, 2000, "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, volume 12, issue 4, pages 497-514, DOI: 10.1080/09535310020003793.
  4. Erik Dietzenbacher & Alex R. Hoen & Bart Los, 2000, "Labor Productivity in Western Europe 1975–1985: An Intercountry, Interindustry Analysis," Journal of Regional Science, Wiley Blackwell, volume 40, issue 3, pages 425-452, August, DOI: 10.1111/0022-4146.00182.
  5. Jan A van der Linden & Erik Dietzenbacher, 2000, "The Determinants of Structural Change in the European Union: A New Application of RAS," Environment and Planning A, , volume 32, issue 12, pages 2205-2229, December, DOI: 10.1068/a32105.

1999

  1. Dietzenbacher, Erik & Wagener, Hans-Jurgen, 1999, "Prices in the Two Germanies," Journal of Comparative Economics, Elsevier, volume 27, issue 1, pages 131-149, March.
  2. Erik Dietzenbacher, 1999, "Editorial," Economic Systems Research, Taylor & Francis Journals, volume 11, issue 1, pages 3-4, DOI: 10.1080/09535319900000001.
  3. E Dietzenbacher & A R Hoen, 1999, "Double Deflation and Aggregation," Environment and Planning A, , volume 31, issue 9, pages 1695-1704, September, DOI: 10.1068/a311695.

1998

  1. Erik Dietzenbacher & Bart Los, 1998, "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, volume 10, issue 4, pages 307-324, DOI: 10.1080/09535319800000023.
  2. Erik Dietzenbacher, 1998, "Report on the Conference in New York," Economic Systems Research, Taylor & Francis Journals, volume 10, issue 4, pages 371-372, DOI: 10.1080/09535319800000030.
  3. Erik Dietzenbacher & Alex R. Hoen, 1998, "Deflation Of Input‐Output Tables From The User'S Point Of View: A Heuristic Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, volume 44, issue 1, pages 111-122, March, DOI: 10.1111/j.1475-4991.1998.tb00255.x.

1994

  1. Dietzenbacher, Erik, 1994, "The non-linear Perron-Frobenius theorem : Perturbations and aggregation," Journal of Mathematical Economics, Elsevier, volume 23, issue 1, pages 21-31, January.

1993

  1. Dietzenbacher, Erik, 1993, "A limiting property for the powers of a non-negative, reducible matrix," Structural Change and Economic Dynamics, Elsevier, volume 4, issue 2, pages 353-366, December.

1992

  1. Dietzenbacher, Erik, 1992, "The measurement of interindustry linkages : Key sectors in the Netherlands," Economic Modelling, Elsevier, volume 9, issue 4, pages 419-437, October.
  2. E. Dietzenbacher & E. Harrison & J. Engwerda & H. Lorenz & G. Klepper & M. Rauscher & R. Neck & J. Hagen, 1992, "Book reviews," Journal of Economics, Springer, volume 55, issue 3, pages 309-327, October, DOI: 10.1007/BF01227663.
  3. Erik Dietzenbacher, 1992, "The LeChatelier-Samuelson principle revisited," Journal of Economics, Springer, volume 55, issue 3, pages 277-296, October, DOI: 10.1007/BF01227661.

1991

  1. M. Shubik & G. Laan & I. Kubin & E. Dietzenbacher & K. Spremann & U. Schweizer & K. Milford & H. Niida & F. Butschek & K. Rothschild, 1991, "Book reviews," Journal of Economics, Springer, volume 53, issue 3, pages 299-324, October, DOI: 10.1007/BF01227627.

1990

  1. Dietzenbacher, Erik, 1990, "Spatial activity allocation modelling: The dominant eigenvalue and its corresponding eigenvector," European Journal of Operational Research, Elsevier, volume 47, issue 1, pages 115-122, July.
  2. E Dietzenbacher, 1990, "Perturbations of the Perron Vector: Applications to Finite Markov Chains and Demographic Population Models," Environment and Planning A, , volume 22, issue 6, pages 747-761, June, DOI: 10.1068/a220747.

1989

  1. Dietzenbacher, Erik, 1989, "The Dynamics of Population Growth, Differential Fertility, and Inequality: Comment," American Economic Review, American Economic Association, volume 79, issue 3, pages 584-587, June.
  2. E Dietzenbacher, 1989, "On the Relationship between the Supply-Driven and the Demand-Driven Input — Output Model," Environment and Planning A, , volume 21, issue 11, pages 1533-1539, November, DOI: 10.1068/a211533.

1988

  1. Dietzenbacher, Erik, 1988, "Estimation of the Leontief inverse from the practitioner's point of view," Mathematical Social Sciences, Elsevier, volume 16, issue 2, pages 181-187, October.

1986

  1. Dietzenbacher, Erik, 1986, "Capacity growth in a clay-clay vintage model," Economics Letters, Elsevier, volume 22, issue 2-3, pages 257-261.

Books

2008

  1. Dietzenbacher,Erik & Lahr,Michael L. (ed.), 2008, "Wassily Leontief and Input-Output Economics," Cambridge Books, Cambridge University Press, number 9780521049436.

2004

  1. Dietzenbacher,Erik & Lahr,Michael L. (ed.), 2004, "Wassily Leontief and Input-Output Economics," Cambridge Books, Cambridge University Press, number 9780521832380.

1998

  1. Heinz D. Kurz & Erik Dietzenbacher & Christian Lager (ed.), 1998, "Input–Output Analysis," Books, Edward Elgar Publishing, number 1069, ISBN: ARRAY(0x94f71c98).

Chapters

2023

  1. Fei Wu & Dayong Zhang & Qiang Ji, 2023, "Energy Market Financialization and Its Policy Implications," Springer Books, Springer, chapter 14, in: Farhad Taghizadeh-Hesary & Dayong Zhang, "The Handbook of Energy Policy", DOI: 10.1007/978-981-19-6778-8_17.
  2. Fei Wu & Dayong Zhang & Qiang Ji, 2023, "Intermarket Risk Transmission Across Energy, Carbon, and Commodities," Springer Books, Springer, chapter 27, in: Farhad Taghizadeh-Hesary & Dayong Zhang, "The Handbook of Energy Policy", DOI: 10.1007/978-981-19-6778-8_32.

2022

  1. Dayong Zhang & Qiang Ji, 2022, "Review of the Development of Energy Finance," Springer Books, Springer, chapter 0, in: Christos Floros & Ioannis Chatziantoniou, "Applications in Energy Finance", DOI: 10.1007/978-3-030-92957-2_1.

2017

  1. Lei Zhu & Yuan Li, 2017, "An Intersectoral Assessment of the Impact of Removing Energy Subsidies in China," Chapters, Economic Research Institute for ASEAN and East Asia (ERIA), chapter 4, in: Han Phoumin & Shigeru Kimura, "Institutional Policy and Economic Impacts of Energy Subsidies Removal in East Asia".

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