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Chih-Chun Kung

Personal Details

First Name:Chih-Chun
Middle Name:
Last Name:Kung
Suffix:
RePEc Short-ID:pku529

Affiliation

Jiangxi University of Finance and Econonics

Nanchang, China
http://www.jxufe.edu.cn/




RePEc:edi:jxufecn (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Chih-Chun Kung & Meng-Shiuh Chang, 2015. "Effect of Agricultural Feedstock to Energy Conversion Rate on Bioenergy and GHG Emissions," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-15, May.
  2. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
  3. Kung, Chih-Chun & Zhang, Ning, 2015. "Renewable energy from pyrolysis using crops and agricultural residuals: An economic and environmental evaluation," Energy, Elsevier, vol. 90(P2), pages 1532-1544.
  4. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
  5. Meng-Shiuh Chang & Chih-Chun Kung, 2014. "Nonparametric Forecasting for Biochar Utilization in Poyang Lake Eco-Economic Zone in China," Sustainability, MDPI, Open Access Journal, vol. 6(1), pages 1-16, January.
  6. Chih-Chun Kung & Bruce A. McCarl & Chi-Chung Chen & Xiaoyong Cao, 2014. "Environmental Impact and Energy Production: Evaluation of Biochar Application on Taiwanese Set-Aside Land," Energy & Environment, , vol. 25(1), pages 13-39, February.
  7. Chih-Chun Kung & Hualin Xie & Tao Wu & Shih-Chih Chen, 2014. "Biofuel for Energy Security: An Examination on Pyrolysis Systems with Emissions from Fertilizer and Land-Use Change," Sustainability, MDPI, Open Access Journal, vol. 6(2), pages 1-18, January.
  8. Kung, Chih-Chun & McCarl, Bruce A. & Cao, Xiaoyong, 2013. "Economics of pyrolysis-based energy production and biochar utilization: A case study in Taiwan," Energy Policy, Elsevier, vol. 60(C), pages 317-323.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Chih-Chun Kung & Meng-Shiuh Chang, 2015. "Effect of Agricultural Feedstock to Energy Conversion Rate on Bioenergy and GHG Emissions," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-15, May.

    Cited by:

    1. Xing Yang & Hailong Wang & Peter James Strong & Song Xu & Shujuan Liu & Kouping Lu & Kuichuan Sheng & Jia Guo & Lei Che & Lizhi He & Yong Sik Ok & Guodong Yuan & Ying Shen & Xin Chen, 2017. "Thermal Properties of Biochars Derived from Waste Biomass Generated by Agricultural and Forestry Sectors," Energies, MDPI, Open Access Journal, vol. 10(4), pages 1-12, April.

  2. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.

    Cited by:

    1. Na, Joon-Ho & Choi, A-Young & Ji, Jianhua & Zhang, Dali, 2017. "Environmental efficiency analysis of Chinese container ports with CO2 emissions: An inseparable input-output SBM model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 13-24.
    2. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    3. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Wen Guo & Tao Sun & Hongjun Dai, 2017. "Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-18, January.
    5. Xiongfeng Pan & Yaobo Yan & Xiaoxue Peng & Qing Liu, 2016. "Analysis of the Threshold Effect of Financial Development on China’s Carbon Intensity," Sustainability, MDPI, Open Access Journal, vol. 8(3), pages 1-14, March.
    6. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    7. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    8. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, Open Access Journal, vol. 8(9), pages 1-21, September.
    9. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    10. Xie, Rui & Fang, Jiayu & Liu, Cenjie, 2017. "The effects of transportation infrastructure on urban carbon emissions," Applied Energy, Elsevier, vol. 196(C), pages 199-207.
    11. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
    12. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    13. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, Open Access Journal, vol. 11(8), pages 1-20, August.
    14. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    15. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    16. Liu, Wei & Zhan, Jinyan & Zhao, Fen & Wang, Pei & Li, Zhihui & Teng, Yanmin, 2018. "Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 1-9.
    17. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    18. Herui Cui & Ruirui Wu & Tian Zhao, 2018. "Decomposition and Forecasting of CO 2 Emissions in China’s Power Sector Based on STIRPAT Model with Selected PLS Model and a Novel Hybrid PLS-Grey-Markov Model," Energies, MDPI, Open Access Journal, vol. 11(11), pages 1-19, November.
    19. Sanz-Díaz, María Teresa & Velasco-Morente, Francisco & Yñiguez, Rocío & Díaz-Calleja, Emilio, 2017. "An analysis of Spain's global and environmental efficiency from a European Union perspective," Energy Policy, Elsevier, vol. 104(C), pages 183-193.
    20. Løvold Rødseth, Kenneth, 2017. "Productivity growth in urban freight transport: An index number approach," Transport Policy, Elsevier, vol. 56(C), pages 86-95.
    21. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    22. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    23. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    24. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    25. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    26. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    27. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
    28. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    29. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    30. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, Open Access Journal, vol. 8(3), pages 1-21, March.
    31. Yang, Mian & Ma, Tiemeng & Sun, Chuanwang, 2018. "Evaluating the impact of urban traffic investment on SO2 emissions in China cities," Energy Policy, Elsevier, vol. 113(C), pages 20-27.
    32. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, Open Access Journal, vol. 10(1), pages 1-17, January.
    33. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    34. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    35. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    36. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2019. "Estimating capacity utilization of Chinese manufacturing industries," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 94-110.
    37. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    38. Li, Ke & Lin, Boqiang, 2015. "Measuring green productivity growth of Chinese industrial sectors during 1998–2011," China Economic Review, Elsevier, vol. 36(C), pages 279-295.
    39. Huan Zhang & Kangning Xu, 2016. "Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure," Sustainability, MDPI, Open Access Journal, vol. 8(8), pages 1-15, August.
    40. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    41. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    42. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.

  3. Kung, Chih-Chun & Zhang, Ning, 2015. "Renewable energy from pyrolysis using crops and agricultural residuals: An economic and environmental evaluation," Energy, Elsevier, vol. 90(P2), pages 1532-1544.

    Cited by:

    1. Niu, Wenjuan & Han, Lujia & Liu, Xian & Huang, Guangqun & Chen, Longjian & Xiao, Weihua & Yang, Zengling, 2016. "Twenty-two compositional characterizations and theoretical energy potentials of extensively diversified China's crop residues," Energy, Elsevier, vol. 100(C), pages 238-250.
    2. Kung, Chih-Chun & Mu, Jianhong E., 2019. "Prospect of China's renewable energy development from pyrolysis and biochar applications under climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    3. Roy, Poritosh & Dias, Goretty, 2017. "Prospects for pyrolysis technologies in the bioenergy sector: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 59-69.
    4. Anupam, Kumar & Sharma, Arvind Kumar & Lal, Priti Shivhare & Dutta, Suman & Maity, Sudip, 2016. "Preparation, characterization and optimization for upgrading Leucaena leucocephala bark to biochar fuel with high energy yielding," Energy, Elsevier, vol. 106(C), pages 743-756.
    5. Kung, Chih-Chun & Zhang, Liguo & Kong, Fanbin, 2016. "How government subsidy leads to sustainable bioenergy development," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 275-284.
    6. Kung, Chih-Chun, 2019. "A stochastic evaluation of economic and environmental effects of Taiwan's biofuel development under climate change," Energy, Elsevier, vol. 167(C), pages 1051-1064.
    7. Kung, Chih-Chun & Zhang, Ning & Choi, Yongrok & Xiong, Kai & Yu, Jiangli, 2019. "Effectiveness of crop residuals in ethanol and pyrolysis-based electricity production: A stochastic analysis under uncertain climate impacts," Energy Policy, Elsevier, vol. 125(C), pages 267-276.

  4. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.

    Cited by:

    1. Yongrok Choi & Hyoung Seok Lee, 2016. "Are Emissions Trading Policies Sustainable? A Study of the Petrochemical Industry in Korea," Sustainability, MDPI, Open Access Journal, vol. 8(11), pages 1-13, October.
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Wu, Tao & Zhang, Li-Guo & Ge, Teng, 2019. "Managing financing risk in capacity investment under green supply chain competition," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 37-44.
    4. Zongwei Luo & Rameshwar Dubey & Thanos Papadopoulos & Benjamin Hazen & David Roubaud, 2018. "Explaining Environmental Sustainability in Supply Chains Using Graph Theory," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1257-1275, December.
    5. Yanni Yu & Weijie Zhang & Ning Zhang, 2018. "The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1175-1194, December.
    6. Liu, Wei & Zhan, Jinyan & Zhao, Fen & Wang, Pei & Li, Zhihui & Teng, Yanmin, 2018. "Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 1-9.
    7. Zhang, Ning & Wu, Tao & Wang, Bing & Dong, Liang & Ren, Jingzheng, 2016. "Sustainable water resource and endogenous economic growth," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 237-244.
    8. Na Wang & Yongrok Choi, 2019. "Challenges for Sustainable Water Use in the Urban Industry of Korea Based on the Global Non-Radial Directional Distance Function Model," Sustainability, MDPI, Open Access Journal, vol. 11(14), pages 1-15, July.
    9. Xie, Hualin & Yu, Yanni & Wang, Wei & Liu, Yanchu, 2017. "The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China," Energy Policy, Elsevier, vol. 107(C), pages 63-71.
    10. Sueyoshi, Toshiyuki & Goto, Mika & Wang, Derek, 2017. "Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces," Energy Economics, Elsevier, vol. 67(C), pages 554-571.
    11. Sueyoshi, Toshiyuki & Yuan, Yan, 2017. "Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention," Energy Economics, Elsevier, vol. 66(C), pages 154-166.
    12. Yongrok Choi & Yanni Yu & Hyoung Seok Lee, 2018. "A Study on the Sustainable Performance of the Steel Industry in Korea Based on SBM-DEA," Sustainability, MDPI, Open Access Journal, vol. 10(1), pages 1-15, January.
    13. Wu, Tao & Zhang, Ning & Gui, Lin & Wu, Wenjie, 2018. "Sustainable endogenous growth model of multiple regions: Reconciling OR and economic perspectives," European Journal of Operational Research, Elsevier, vol. 269(1), pages 218-226.
    14. Zhao, Ting & Yang, Zhenshan, 2017. "Towards green growth and management: Relative efficiency and gaps of Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 481-494.

  5. Meng-Shiuh Chang & Chih-Chun Kung, 2014. "Nonparametric Forecasting for Biochar Utilization in Poyang Lake Eco-Economic Zone in China," Sustainability, MDPI, Open Access Journal, vol. 6(1), pages 1-16, January.

    Cited by:

    1. Wenbo Chen & Gerrit J. Carsjens & Lihong Zhao & Haifeng Li, 2014. "A Spatial Optimization Model for Sustainable Land Use at Regional Level in China: A Case Study for Poyang Lake Region," Sustainability, MDPI, Open Access Journal, vol. 7(1), pages 1-21, December.
    2. Tao Wu & Yuelong Wang, 2015. "Did the Establishment of Poyang Lake Eco-Economic Zone Increase Agricultural Labor Productivity in Jiangxi Province, China?," Sustainability, MDPI, Open Access Journal, vol. 8(1), pages 1-11, December.

  6. Chih-Chun Kung & Hualin Xie & Tao Wu & Shih-Chih Chen, 2014. "Biofuel for Energy Security: An Examination on Pyrolysis Systems with Emissions from Fertilizer and Land-Use Change," Sustainability, MDPI, Open Access Journal, vol. 6(2), pages 1-18, January.

    Cited by:

    1. Sumin Kim & James R. Kiniry & Amber S. Williams & Norman Meki & Lewis Gaston & Melinda Brakie & Alan Shadow & Felix B. Fritschi & Yanqi Wu, 2017. "Adaptation of C 4 Bioenergy Crop Species to Various Environments within the Southern Great Plains of USA," Sustainability, MDPI, Open Access Journal, vol. 9(1), pages 1-17, January.

  7. Kung, Chih-Chun & McCarl, Bruce A. & Cao, Xiaoyong, 2013. "Economics of pyrolysis-based energy production and biochar utilization: A case study in Taiwan," Energy Policy, Elsevier, vol. 60(C), pages 317-323.

    Cited by:

    1. Kung, Chih-Chun & Mu, Jianhong E., 2019. "Prospect of China's renewable energy development from pyrolysis and biochar applications under climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    2. Roy, Poritosh & Dias, Goretty, 2017. "Prospects for pyrolysis technologies in the bioenergy sector: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 59-69.
    3. Chih-Chun Kung & Meng-Shiuh Chang, 2015. "Effect of Agricultural Feedstock to Energy Conversion Rate on Bioenergy and GHG Emissions," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-15, May.
    4. Zhang, Zhikun & Zhu, Zongyuan & Shen, Boxiong & Liu, Lina, 2019. "Insights into biochar and hydrochar production and applications: A review," Energy, Elsevier, vol. 171(C), pages 581-598.
    5. Kung, Chih-Chun & Zhang, Liguo & Kong, Fanbin, 2016. "How government subsidy leads to sustainable bioenergy development," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 275-284.
    6. Salgado, Mario A. Heredia & Tarelho, Luís A.C. & Matos, Arlindo & Robaina, M. & Narváez, Ricardo & Peralta, Miguel E., 2018. "Thermoeconomic analysis of integrated production of biochar and process heat from quinoa and lupin residual biomass," Energy Policy, Elsevier, vol. 114(C), pages 332-341.
    7. Kung, Chih-Chun & McCarl, Bruce A., 2020. "The potential role of renewable electricity generation in Taiwan," Energy Policy, Elsevier, vol. 138(C).
    8. Kung, Chih-Chun & Zhang, Ning, 2015. "Renewable energy from pyrolysis using crops and agricultural residuals: An economic and environmental evaluation," Energy, Elsevier, vol. 90(P2), pages 1532-1544.

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