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Haitao Zheng

Personal Details

First Name:Haitao
Middle Name:
Last Name:Zheng
Suffix:
RePEc Short-ID:pzh345
[This author has chosen not to make the email address public]
http://sem.buaa.edu.cn/szdw/sljjyswtjx/zht/jbxx.htm

Affiliation

School of Economics and Management
Beijing University of Aeronautics and Astronautics (Beihang University)

Beijing, China
http://sem.buaa.edu.cn/
RePEc:edi:sebuacn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ruoen Ren & Haitao Zheng, 2006. "Chinese Manufacturing Performance from Multilateral Perspective: 1980-2004," Hi-Stat Discussion Paper Series d06-170, Institute of Economic Research, Hitotsubashi University.

Articles

  1. Yunyun Jiang & Haitao Zheng & Ran Wang, 2021. "The effect of institutional ownership on listed companies’ tax avoidance strategies," Applied Economics, Taylor & Francis Journals, vol. 53(8), pages 880-896, February.
  2. Tongyu Wang & Shangmei Zhao & Guangxiang Zhu & Haitao Zheng, 2021. "A machine learning-based early warning system for systemic banking crises," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 2974-2992, June.
  3. Rong Guan & Huiwen Wang & Haitao Zheng, 2020. "Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model," Computational Statistics, Springer, vol. 35(2), pages 491-514, June.
  4. Jia Zhai & Haitao Zheng & Manying Bai & Yunyun Jiang, 2020. "An Uncertain Alternating Renewal Insurance Risk Model," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, July.
  5. Ren-Qian Zhang & Qi-Qi Wang & Yi-Ye Zhang & Hai-Tao Zheng & Jie Hu, 2019. "Estimation of Jointly Normally Distributed Demand for Cross-Selling Items in Inventory Systems with Lost Sales," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-21, July.
  6. Haitao Zheng & Jie Hu & Shanshan Wang & Huiwen Wang, 2019. "Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities," Applied Economics, Taylor & Francis Journals, vol. 51(35), pages 3906-3919, July.
  7. Haitao Zheng & Junzhang Hao & Manying Bai & Zhengjun Zhang, 2019. "Valuation of Guaranteed Unitized Participating Life Insurance under MEGB2 Distribution," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-16, February.
  8. Fan, Maoqing & Zheng, Haitao, 2019. "The impact of factor price changes and technological progress on the energy intensity of China's industries: Kalman filter-based econometric method," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 340-353.
  9. Zheng, Haitao & Fang, Qi & Wang, Cheng & Jiang, Yunyun & Ren, Ruoen, 2018. "Updating China's input-output tables series using MTT method and its comparison," Economic Modelling, Elsevier, vol. 74(C), pages 186-193.
  10. Xuedi Li & Jie Ma & Zhu Chen & Haitao Zheng, 2018. "Linkage Analysis among China’s Seven Emissions Trading Scheme Pilots," Sustainability, MDPI, vol. 10(10), pages 1-13, September.
  11. Shanshan Wang & Tianhao Zhao & Haitao Zheng & Jie Hu, 2017. "The STIRPAT Analysis on Carbon Emission in Chinese Cities: An Asymmetric Laplace Distribution Mixture Model," Sustainability, MDPI, vol. 9(12), pages 1-13, December.
  12. Rong Guan & Haitao Zheng & Jie Hu & Qi Fang & Ruoen Ren, 2017. "The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
  13. Haitao Zheng & Qi Fang & Cheng Wang & Huiwen Wang & Ruoen Ren, 2017. "China’s Carbon Footprint Based on Input-Output Table Series: 1992–2020," Sustainability, MDPI, vol. 9(3), pages 1-17, March.
  14. Haitao Zheng & Jie Hu & Rong Guan & Shanshan Wang, 2016. "Examining Determinants of CO 2 Emissions in 73 Cities in China," Sustainability, MDPI, vol. 8(12), pages 1-17, December.
  15. Huiwen Wang & Cheng Wang & Haitao Zheng & Haoyun Feng & Rong Guan & Wen Long, 2015. "Updating Input-Output Tables with Benchmark Table Series," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 287-305, September.
  16. Xu Xiaosi & Chen Ying & Zheng Haitao, 2011. "The comparison of enterprise bankruptcy forecasting method," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(2), pages 301-308, September.
  17. REN Ruo¡äen & ZHENG Haitao, 2006. "China¡¯s manufacturing performance from a multilateral perspective: 1980-2004," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 1(4), pages 560-575, December.

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.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Yunyun Jiang & Haitao Zheng & Ran Wang, 2021. "The effect of institutional ownership on listed companies’ tax avoidance strategies," Applied Economics, Taylor & Francis Journals, vol. 53(8), pages 880-896, February.

    Cited by:

    1. Patrick Velte, 2023. "Sustainable institutional investors, corporate sustainability performance, and corporate tax avoidance: Empirical evidence for the European capital market," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2406-2418, September.
    2. Mohammad I. Almaharmeh & Ali Shehadeh & Hani Alkayed & Mohammad Aladwan & Majd Iskandrani, 2024. "Family Ownership, Corporate Governance Quality and Tax Avoidance: Evidence from an Emerging Market—The Case of Jordan," JRFM, MDPI, vol. 17(2), pages 1-18, February.
    3. Ding Ning & Irfan-Ullah & Muhammad Ansar Majeed & Aurang Zeb, 2022. "Board diversity and financial statement comparability: evidence from China," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 743-801, December.
    4. Eriana Kartadjumena & Nuryaman Nuryaman, 2024. "Ownership Structures, Executive Compensation and Tax Aggressiveness in Indonesia Mining and Plantation Companies: The Moderating Effect of Audit Quality," International Journal of Economics and Financial Issues, Econjournals, vol. 14(3), pages 23-32, May.
    5. Kadarisman Hidayat & Diana Zuhroh, 2023. "The Impact of Environmental, Social and Governance, Sustainable Financial Performance, Ownership Structure, and Composition of Company Directors on Tax Avoidance: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 311-320, November.
    6. Athira, A. & Lukose, P.J. Jijo, 2023. "Do common institutional owners' activisms deter tax avoidance? Evidence from an emerging economy," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).

  2. Tongyu Wang & Shangmei Zhao & Guangxiang Zhu & Haitao Zheng, 2021. "A machine learning-based early warning system for systemic banking crises," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 2974-2992, June.

    Cited by:

    1. Pedro Guerra & Mauro Castelli, 2021. "Machine Learning Applied to Banking Supervision a Literature Review," Risks, MDPI, vol. 9(7), pages 1-24, July.
    2. Guerra, Pedro & Castelli, Mauro & Côrte-Real, Nadine, 2022. "Machine learning for liquidity risk modelling: A supervisory perspective," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 175-187.
    3. Shu-Ling Lin & Xiao Jin, 2023. "Does ESG Predict Systemic Banking Crises? A Computational Economics Model of Early Warning Systems with Interpretable Multi-Variable LSTM based on Mixture Attention," Mathematics, MDPI, vol. 11(2), pages 1-15, January.
    4. Carbó, José Manuel & Gorjón, Sergio, 2024. "Determinants of the price of bitcoin: An analysis with machine learning and interpretability techniques," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 123-140.
    5. Jeremy K. Nguyen & Adam Karg & Abbas Valadkhani & Heath McDonald, 2022. "Predicting individual event attendance with machine learning: a ‘step-forward’ approach," Applied Economics, Taylor & Francis Journals, vol. 54(27), pages 3138-3153, June.
    6. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    7. Zhao, Zichao & Li, Dexuan & Dai, Wensheng, 2023. "Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    8. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    9. Alonso-Alvarez, Irma & Molina, Luis, 2023. "How to foresee crises? A new synthetic index of vulnerabilities for emerging economies," Economic Modelling, Elsevier, vol. 125(C).

  3. Rong Guan & Huiwen Wang & Haitao Zheng, 2020. "Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model," Computational Statistics, Springer, vol. 35(2), pages 491-514, June.

    Cited by:

    1. Desheng Dash Wu & Wolfgang Karl Härdle, 2020. "Service data analytics and business intelligence 2017," Computational Statistics, Springer, vol. 35(2), pages 423-426, June.

  4. Ren-Qian Zhang & Qi-Qi Wang & Yi-Ye Zhang & Hai-Tao Zheng & Jie Hu, 2019. "Estimation of Jointly Normally Distributed Demand for Cross-Selling Items in Inventory Systems with Lost Sales," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-21, July.

    Cited by:

    1. Ding, Xiaohui & Chen, Caihua & Li, Chongshou & Lim, Andrew, 2021. "Product demand estimation for vending machines using video surveillance data: A group-lasso method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).

  5. Haitao Zheng & Jie Hu & Shanshan Wang & Huiwen Wang, 2019. "Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities," Applied Economics, Taylor & Francis Journals, vol. 51(35), pages 3906-3919, July.

    Cited by:

    1. Hongwu Zhang & Lequan Zhang & Keying Wang & Xunpeng Shi, 2019. "Unveiling Key Drivers of Indirect Carbon Emissions of Chinese Older Households," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    2. Lina Liu & Yunyun Zhang & Bei Liu & Pishi Xiu & Lipeng Sun, 2022. "How to Achieve Carbon Neutrality: From the Perspective of Innovative City Pilot Policy in China," IJERPH, MDPI, vol. 19(24), pages 1-20, December.
    3. Verma, Pramit & Kumari, Tanu & Raghubanshi, Akhilesh Singh, 2021. "Energy emissions, consumption and impact of urban households: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    4. Lu, Cheng & Du, Qiang, 2024. "The heterogeneous effects of transportation infrastructure on trade-embodied CO2 transfer: A multi-scale perspective," Energy, Elsevier, vol. 302(C).

  6. Fan, Maoqing & Zheng, Haitao, 2019. "The impact of factor price changes and technological progress on the energy intensity of China's industries: Kalman filter-based econometric method," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 340-353.

    Cited by:

    1. Bashir, Muhammad Adnan & Sheng, Bin & Doğan, Buhari & Sarwar, Suleman & Shahzad, Umer, 2020. "Export product diversification and energy efficiency: Empirical evidence from OECD countries," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 232-243.

  7. Zheng, Haitao & Fang, Qi & Wang, Cheng & Jiang, Yunyun & Ren, Ruoen, 2018. "Updating China's input-output tables series using MTT method and its comparison," Economic Modelling, Elsevier, vol. 74(C), pages 186-193.

    Cited by:

    1. Chenxi Li & Kening Wu, 2022. "An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 91-111, March.
    2. Gurgul, Henryk & Lach, Łukasz, 2019. "Eco-efficiency analysis in generalized IO models: Methods and examples," MPRA Paper 96604, University Library of Munich, Germany.
    3. Zhangqi, Zhong & Zhuli, Chen & Lingyun, He, 2022. "Technological innovation, industrial structural change and carbon emission transferring via trade-------An agent-based modeling approach," Technovation, Elsevier, vol. 110(C).
    4. Jaime Nieto & Pedro B. Moyano & Diego Moyano & Luis Javier Miguel, 2023. "Is energy intensity a driver of structural change? Empirical evidence from the global economy," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 283-296, February.
    5. Chen, Quanrun & Chen, Xikang & Pei, Jiansuo & Yang, Cuihong & Zhu, Kunfu, 2020. "Estimating domestic content in China’s exports: Accounting for a dual-trade regime," Economic Modelling, Elsevier, vol. 89(C), pages 43-54.
    6. Peng Zheng & Lingling Zhu & Wei Lu & Xin Yao, 2021. "The effects of electricity substitution in Fujian: based on microdata survey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9320-9335, June.
    7. Ewa Cieślik, 2020. "Cross-Sectoral Inter-Country Linkages under the Belt and Road Initiative: Chinese ICT Services Value Added Inflows to Manufacturing Exports in the New Eurasian Land Bridge Economies," Sustainability, MDPI, vol. 12(20), pages 1-20, October.

  8. Xuedi Li & Jie Ma & Zhu Chen & Haitao Zheng, 2018. "Linkage Analysis among China’s Seven Emissions Trading Scheme Pilots," Sustainability, MDPI, vol. 10(10), pages 1-13, September.

    Cited by:

    1. Xiaohua Song & Wen Zhang & Zeqi Ge & Siqi Huang & Yamin Huang & Sijia Xiong, 2022. "A Study of the Influencing Factors on the Carbon Emission Trading Price in China Based on the Improved Gray Relational Analysis Model," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    2. Li, Meng & Gao, Yuning & Meng, Bo & Yang, Zhusong, 2021. "Managing the mitigation: Analysis of the effectiveness of target-based policies on China's provincial carbon emission and transfer," Energy Policy, Elsevier, vol. 151(C).
    3. Zhong Wang & Mingyu Wu & Shixiang Li & Changji Wang, 2021. "The Effect Evaluation of China’s Energy-Consuming Right Trading Policy: Empirical Analysis Based on PSM-DID," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    4. Shi, Yangyan & Feng, Yu & Zhang, Qi & Shuai, Jing & Niu, Jiangxin, 2023. "Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries," Energy, Elsevier, vol. 262(PA).
    5. Cristi Spulbar & Jatin Trivedi & Ramona Birau & Tenea Cosmin Andrei & Abdullah Ejaz, 2019. "Estimating Volatility Spillovers, Dynamic Causal Linkages And International Contagion Patterns Between Developed Stock Markets: An Empirical Case Study For Usa, Canada, France And Uk," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 44-62, June.

  9. Shanshan Wang & Tianhao Zhao & Haitao Zheng & Jie Hu, 2017. "The STIRPAT Analysis on Carbon Emission in Chinese Cities: An Asymmetric Laplace Distribution Mixture Model," Sustainability, MDPI, vol. 9(12), pages 1-13, December.

    Cited by:

    1. Derya Topdag & Tuğçe Acar & İsmail Erkan Celik, 2020. "Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 70(2), pages 339-358, December.
    2. Xing, Licong & Khan, Yousaf Ali & Arshed, Noman & Iqbal, Mubasher, 2023. "Investigating the impact of economic growth on environment degradation in developing economies through STIRPAT model approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    3. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    4. Chun Liu & Gui-hua Nie, 2021. "Identifying the Driving Factors of Food Nitrogen Footprint in China, 2000–2018: Econometric Analysis of Provincial Spatial Panel Data by the STIRPAT Model," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    5. Qudsia Kanwal & Xianlai Zeng & Jinhui Li, 2023. "Measuring the recycling potential of industrial waste for long-term sustainability," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    6. John A. Paravantis & Panagiotis D. Tasios & Vasileios Dourmas & Georgios Andreakos & Konstantinos Velaoras & Nikoletta Kontoulis & Panagiota Mihalakakou, 2021. "A Regression Analysis of the Carbon Footprint of Megacities," Sustainability, MDPI, vol. 13(3), pages 1-24, January.
    7. Kazeem B. Ajide & Olorunfemi Y. Alimi & Simplice A. Asongu, 2024. "Intelligence and its Effects on Environmental Decline: A Worldwide Analysis," Working Papers 24/017, European Xtramile Centre of African Studies (EXCAS).
    8. Ellen Thio & MeiXuen Tan & Liang Li & Muhammad Salman & Xingle Long & Huaping Sun & Bangzhu Zhu, 2022. "The estimation of influencing factors for carbon emissions based on EKC hypothesis and STIRPAT model: Evidence from top 10 countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11226-11259, September.
    9. Nihal Ahmed & Franklin Ore Areche & Adnan Ahmed Sheikh & Amine Lahiani, 2022. "Green Finance and Green Energy Nexus in ASEAN Countries: A Bootstrap Panel Causality Test," Energies, MDPI, vol. 15(14), pages 1-13, July.
    10. YoungSeok Hwang & Jung-Sup Um & JunHwa Hwang & Stephan Schlüter, 2020. "Evaluating the Causal Relations between the Kaya Identity Index and ODIAC-Based Fossil Fuel CO 2 Flux," Energies, MDPI, vol. 13(22), pages 1-20, November.
    11. Mansi Wang & Noman Arshed & Mubbasher Munir & Samma Faiz Rasool & Weiwen Lin, 2021. "Investigation of the STIRPAT model of environmental quality: a case of nonlinear quantile panel data analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12217-12232, August.
    12. Ridwan Lanre Ibrahim & Usama Al-Mulali & Kazeem Bello Ajide & Abubakar Mohammed & Fatimah Ololade Bolarinwa, 2022. "Investigating the Mediating Roles of Income Level and Technological Innovation in Africa’s Sustainability Pathways Amidst Energy Transition, Resource Abundance, and Financial Inclusion," Sustainability, MDPI, vol. 14(19), pages 1-27, September.

  10. Rong Guan & Haitao Zheng & Jie Hu & Qi Fang & Ruoen Ren, 2017. "The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China," Sustainability, MDPI, vol. 9(4), pages 1-17, April.

    Cited by:

    1. Shao, Weiwei & Liu, Jiahong & Zhu, Mingming & Weng, Baisha & Wang, Ning & Huang, Hao & Yu, Yingdong & Yan, Dianyi & Jiang, Shan, 2018. "Evaluation of a photovoltaic water-supply scheme for the surface water system in Xiamen, China," Applied Energy, Elsevier, vol. 230(C), pages 357-373.
    2. Luis Ángel Maza, 2022. "Una estimación de la huella de carbono en la cartera de préstamos a empresas de las entidades de crédito en España," Occasional Papers 2220, Banco de España.
    3. Di Chen & Haiqing Hu & Chun‐Ping Chang, 2023. "Green finance, environment regulation, and industrial green transformation for corporate social responsibility," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2166-2181, September.
    4. Olaf Weber & Rezaul Karim Chowdury, 2020. "Corporate Sustainability in Bangladeshi Banks: Proactive or Reactive Ethical Behavior?," Sustainability, MDPI, vol. 12(19), pages 1-18, September.
    5. Feng-Wen Chen & Yuan Feng & Wei Wang, 2018. "Impacts of Financial Inclusion on Non-Performing Loans of Commercial Banks: Evidence from China," Sustainability, MDPI, vol. 10(9), pages 1-28, August.
    6. Fareeha Adil & Abdul Jalil, 2020. "Determining the Financial Inclusion Output of Banking Sector of Pakistan—Supply-Side Analysis," Economies, MDPI, vol. 8(2), pages 1-20, May.

  11. Haitao Zheng & Qi Fang & Cheng Wang & Huiwen Wang & Ruoen Ren, 2017. "China’s Carbon Footprint Based on Input-Output Table Series: 1992–2020," Sustainability, MDPI, vol. 9(3), pages 1-17, March.

    Cited by:

    1. Hongbo Liu & Hanho Kim & Shuanglu Liang & Oh-Sang Kwon, 2018. "Export Diversification and Ecological Footprint: A Comparative Study on EKC Theory among Korea, Japan, and China," Sustainability, MDPI, vol. 10(10), pages 1-12, October.
    2. Jiang, Meihui & An, Haizhong & Guan, Qing & Sun, Xiaoqi, 2018. "Global embodied mineral flow between industrial sectors: A network perspective," Resources Policy, Elsevier, vol. 58(C), pages 192-201.
    3. Rong Guan & Haitao Zheng & Jie Hu & Qi Fang & Ruoen Ren, 2017. "The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    4. Xi Zhang & Zheng Li & Linwei Ma & Chinhao Chong & Weidou Ni, 2019. "Forecasting the Energy Embodied in Construction Services Based on a Combination of Static and Dynamic Hybrid Input-Output Models," Energies, MDPI, vol. 12(2), pages 1-26, January.
    5. Junhwan Moon & Eungyeong Yun & Jaebeom Lee, 2020. "Identifying the Sustainable Industry by Input–Output Analysis Combined with CO 2 Emissions: A Time Series Study from 2005 to 2015 in South Korea," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
    6. Ming Cao & Wei Kang & Qingren Cao & M. Jawad Sajid, 2020. "Estimating Chinese rural and urban residents’ carbon consumption and its drivers: considering capital formation as a productive input," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5443-5464, August.
    7. Fei Ma & Wenlin Wang & Qipeng Sun & Fei Liu & Xiaodan Li, 2018. "Ecological Pressure of Carbon Footprint in Passenger Transport: Spatio-Temporal Changes and Regional Disparities," Sustainability, MDPI, vol. 10(2), pages 1-17, January.
    8. Mario Martín-Antón & Vicente Negro & José María Del Campo & José-Santos López-Gutiérrez & M. Dolores Esteban, 2017. "The Gigantism of Public Works in China in the Twenty-First Century," Sustainability, MDPI, vol. 9(9), pages 1-14, September.

  12. Haitao Zheng & Jie Hu & Rong Guan & Shanshan Wang, 2016. "Examining Determinants of CO 2 Emissions in 73 Cities in China," Sustainability, MDPI, vol. 8(12), pages 1-17, December.

    Cited by:

    1. Irene M. Zarco-Soto & Fco. Javier Zarco-Soto & Pedro J. Zarco-Periñán, 2021. "Influence of Population Income on Energy Consumption and CO 2 Emissions in Buildings of Cities," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
    2. Umut Uzar, 2022. "The connection between freedom of the press and environmental quality: An investigation on emerging market countries," Natural Resources Forum, Blackwell Publishing, vol. 46(1), pages 21-38, February.
    3. Bin Wang & Qiuxia Zheng & Ao Sun & Jie Bao & Dianting Wu, 2021. "Spatio-Temporal Patterns of CO 2 Emissions and Influencing Factors in China Using ESDA and PLS-SEM," Mathematics, MDPI, vol. 9(21), pages 1-24, October.
    4. Xinxuan Cheng & Longfei Fan & Jiachen Wang, 2018. "Can Energy Structure Optimization, Industrial Structure Changes, Technological Improvements, and Central and Local Governance Effectively Reduce Atmospheric Pollution in the Beijing–Tianjin–Hebei Area," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    5. Shoufu Lin & Ji Sun & Dora Marinova & Dingtao Zhao, 2017. "Effects of Population and Land Urbanization on China’s Environmental Impact: Empirical Analysis Based on the Extended STIRPAT Model," Sustainability, MDPI, vol. 9(5), pages 1-21, May.
    6. Zicheng Wang & Xiaoliang Zhou, 2023. "Can Innovation-Driven Policy Reduce China’s Carbon Emission Intensity?—A Quasi-Natural Experiment Based on the National Innovative City Pilot Policy," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    7. Vélez-Henao, Johan-Andrés & Font Vivanco, David & Hernández-Riveros, Jesús-Antonio, 2019. "Technological change and the rebound effect in the STIRPAT model: A critical view," Energy Policy, Elsevier, vol. 129(C), pages 1372-1381.
    8. Kunofiwa Tsaurai, 2020. "Exploring the Macroeconomic Determinants of Carbon Emissions in Transitional Economies: A Panel Data Analysis Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 536-544.
    9. Shanshan Wang & Tianhao Zhao & Haitao Zheng & Jie Hu, 2017. "The STIRPAT Analysis on Carbon Emission in Chinese Cities: An Asymmetric Laplace Distribution Mixture Model," Sustainability, MDPI, vol. 9(12), pages 1-13, December.
    10. Johan-Andrés Vélez-Henao, 2020. "Does urbanization boost environmental impacts in Colombia? An extended STIRPAT–LCA approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 851-866, June.

  13. Huiwen Wang & Cheng Wang & Haitao Zheng & Haoyun Feng & Rong Guan & Wen Long, 2015. "Updating Input-Output Tables with Benchmark Table Series," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 287-305, September.

    Cited by:

    1. Zheng, Haitao & Fang, Qi & Wang, Cheng & Jiang, Yunyun & Ren, Ruoen, 2018. "Updating China's input-output tables series using MTT method and its comparison," Economic Modelling, Elsevier, vol. 74(C), pages 186-193.
    2. Rong Guan & Haitao Zheng & Jie Hu & Qi Fang & Ruoen Ren, 2017. "The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    3. Jaime Nieto & Pedro B. Moyano & Diego Moyano & Luis Javier Miguel, 2023. "Is energy intensity a driver of structural change? Empirical evidence from the global economy," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 283-296, February.
    4. Hiramatsu, Tomoru & Inoue, Hiroki & Kato, Yasuhiko, 2016. "Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 385-402.

  14. Xu Xiaosi & Chen Ying & Zheng Haitao, 2011. "The comparison of enterprise bankruptcy forecasting method," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(2), pages 301-308, September.

    Cited by:

    1. Rong Guan & Huiwen Wang & Haitao Zheng, 2020. "Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model," Computational Statistics, Springer, vol. 35(2), pages 491-514, June.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DEV: Development (1) 2006-07-15
  2. NEP-EFF: Efficiency and Productivity (1) 2006-07-15
  3. NEP-INT: International Trade (1) 2006-07-15
  4. NEP-SEA: South East Asia (1) 2006-07-15
  5. NEP-TRA: Transition Economics (1) 2006-07-15

Corrections

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To update listings or check citations waiting for approval, Haitao Zheng should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

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