Xiaoqi Huang

Personal Details

First Name:	Xiaoqi
Middle Name:
Last Name:	Huang
Suffix:
RePEc Short-ID:	phu655
	[This author has chosen not to make the email address public]

Affiliation

School of Economics and Management
Wuhan University

Wuhan, China
http://ems.whu.edu.cn/
RePEc:edi:iewhucn (more details at EDIRC)

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. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).

   Cited by:

   1. Zhou, Sheng & Xu, Zhiwei, 2022. "Energy efficiency assessment of RCEP member states: A three-stage slack based measurement DEA with undesirable outputs," Energy, Elsevier, vol. 253(C).
   2. Li, Xin & Li, Zheng & Su, Chi-Wei & Umar, Muhammad & Shao, Xuefeng, 2022. "Exploring the asymmetric impact of economic policy uncertainty on China's carbon emissions trading market price: Do different types of uncertainty matter?," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
   3. 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, vol. 177(C).
   4. 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, vol. 182(C).
   5. Juanjuan Tian & Xiaoqian Song & Jinsuo Zhang, 2022. "Spatial-Temporal Pattern and Driving Factors of Carbon Efficiency in China: Evidence from Panel Data of Urban Governance," Energies, MDPI, vol. 15(7), pages 1-24, March.
   6. Shan Miao & Yandi Tuo & Xi Zhang & Xiang Hou, 2023. "Green Fiscal Policy and ESG Performance: Evidence from the Energy-Saving and Emission-Reduction Policy in China," Energies, MDPI, vol. 16(9), pages 1-19, April.
   7. Y.-S. Ren & S. Boubaker & P.-Z. Liu & O. Weber, 2023. "How Does Carbon Regulatory Policy Affect Debt Financing Costs? Empirical Evidence from China," Post-Print hal-04435562, HAL.
      • Ren, Yi-Shuai & Boubaker, Sabri & Liu, Pei-Zhi & Weber, Olaf, 2023. "How does carbon regulatory policy affect debt financing costs? Empirical evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 77-90.
   8. Zhou, Tao & Huang, Xuhui & Zhang, Ning, 2023. "The effect of innovation pilot on carbon total factor productivity: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 125(C).
   9. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
   10. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
   11. Liu, Fangmei & Li, Li & Ye, Bin & Qin, Quande, 2023. "A novel stochastic semi-parametric frontier-based three-stage DEA window model to evaluate China's industrial green economic efficiency," Energy Economics, Elsevier, vol. 119(C).
   12. Peng, Hua-Rong & Tan, Xiujie & Managi, Shunsuke & Taghizadeh-Hesary, Farhad, 2022. "Club convergence in energy efficiency of Belt and Road Initiative countries: The role of China’s outward foreign direct investment," Energy Policy, Elsevier, vol. 168(C).
   13. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
   14. Du, Minzhe & Wu, Fenger & Ye, Danfeng & Zhao, Yating & Liao, Liping, 2023. "Exploring the effects of energy quota trading policy on carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 124(C).
   15. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
   16. Xiangyu Hua & Haiping Lv & Xiangrong Jin, 2021. "Research on High-Quality Development Efficiency and Total Factor Productivity of Regional Economies in China," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
   17. Bin Xu, 2022. "How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach," IJERPH, MDPI, vol. 19(19), pages 1-24, October.
   18. Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
   19. Bresciani, Stefano & Puertas, Rosa & Ferraris, Alberto & Santoro, Gabriele, 2021. "Innovation, environmental sustainability and economic development: DEA-Bootstrap and multilevel analysis to compare two regions," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
   20. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
   21. Tao Ge & Jinye Li & Cang Wang, 2023. "Econometric analysis of the impact of innovative city pilots on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9359-9386, September.
   22. Mingjuan Ma & Shuifa Ke & Qiang Li & Yaqi Wu, 2023. "Towards Carbon Neutrality: A Comprehensive Analysis on Total Factor Carbon Productivity of the Yellow River Basin, China," Sustainability, MDPI, vol. 15(8), pages 1-23, April.

2. D. Sathiaraj & X. Huang & J. Chen, 2019. "Predicting climate types for the Continental United States using unsupervised clustering techniques," Environmetrics, John Wiley & Sons, Ltd., vol. 30(4), June.

   Cited by:

   1. Ania Cravero & Sebastián Pardo & Patricio Galeas & Julio López Fenner & Mónica Caniupán, 2022. "Data Type and Data Sources for Agricultural Big Data and Machine Learning," Sustainability, MDPI, vol. 14(23), pages 1-37, December.
   2. Sumin Park & Haemi Park & Jungho Im & Cheolhee Yoo & Jinyoung Rhee & Byungdoo Lee & ChunGeun Kwon, 2019. "Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-23, October.

3. X. Huang & J. Yao, 2013. "Characterizations of the nonemptiness and compactness for solution sets of convex set-valued optimization problems," Journal of Global Optimization, Springer, vol. 55(3), pages 611-626, March.

   Cited by:

   1. Nithirat Sisarat & Rabian Wangkeeree & Gue Myung Lee, 2020. "On Set Containment Characterizations for Sets Described by Set-Valued Maps with Applications," Journal of Optimization Theory and Applications, Springer, vol. 184(3), pages 824-841, March.
   2. M. Oveisiha & J. Zafarani, 2014. "On Characterization of Solution Sets of Set-Valued Pseudoinvex Optimization Problems," Journal of Optimization Theory and Applications, Springer, vol. 163(2), pages 387-398, November.
   3. Nithirat Sisarat & Rabian Wangkeeree & Tamaki Tanaka, 2020. "Sequential characterizations of approximate solutions in convex vector optimization problems with set-valued maps," Journal of Global Optimization, Springer, vol. 77(2), pages 273-287, June.

4. X. Huang, 2013. "Convergence of a class of penalty methods for constrained scalar set-valued optimization," Journal of Global Optimization, Springer, vol. 56(4), pages 1501-1513, August.

   Cited by:

   1. Marius Durea & Radu Strugariu, 2020. "On the sensitivity of Pareto efficiency in set-valued optimization problems," Journal of Global Optimization, Springer, vol. 78(3), pages 581-596, November.

5. Xiang, H. & Wang, Z. & Stallones, L. & Keefe, T.J. & Huang, X. & Fu, X., 2000. "Agricultural work-related injuries among farmers in Hubei, People's Republic of China," American Journal of Public Health, American Public Health Association, vol. 90(8), pages 1269-1276.

   Cited by:

   1. Nicola Mucci & Veronica Traversini & Lucrezia G. Lulli & Antonio Baldassarre & Raymond P. Galea & Giulio Arcangeli, 2020. "Upper Limb’s Injuries in Agriculture: A Systematic Review," IJERPH, MDPI, vol. 17(12), pages 1-18, June.

6. Einmahl, J. H. J. & Dehaan, L. & Huang, X., 1993. "Estimating a Multidimensional Extreme-Value Distribution," Journal of Multivariate Analysis, Elsevier, vol. 47(1), pages 35-47, October.
   • Einmahl, J.H.J. & de Haan, L. & Xin, H., 1993. "Estimating a multidimensional extreme-value distribution," Other publications TiSEM 2816eb0c-8f15-4111-94f5-6, Tilburg University, School of Economics and Management.

   Cited by:

   1. Bücher Axel, 2014. "A note on nonparametric estimation of bivariate tail dependence," Statistics & Risk Modeling, De Gruyter, vol. 31(2), pages 1-12, June.
   2. Capéraà, Philippe & Fougères, Anne-Laure & Genest, Christian, 2000. "Bivariate Distributions with Given Extreme Value Attractor," Journal of Multivariate Analysis, Elsevier, vol. 72(1), pages 30-49, January.
   3. Frahm, Gabriel & Junker, Markus & Schmidt, Rafael, 2005. "Estimating the tail-dependence coefficient: Properties and pitfalls," Insurance: Mathematics and Economics, Elsevier, vol. 37(1), pages 80-100, August.
   4. Einmahl, John H.J. & de Haan, Laurens & Sinha, Ashoke Kumar, 1997. "Estimating the spectral measure of an extreme value distribution," Stochastic Processes and their Applications, Elsevier, vol. 70(2), pages 143-171, October.
      • J Einmahl, .H. & de Haan, L. & Sinha, A., 1997. "Estimating the spectral measure of an extreme value distribution," Other publications TiSEM ac22e123-1e5d-448a-981e-a, Tilburg University, School of Economics and Management.
   5. Drees, Holger & Huang, Xin, 1998. "Best Attainable Rates of Convergence for Estimators of the Stable Tail Dependence Function," Journal of Multivariate Analysis, Elsevier, vol. 64(1), pages 25-47, January.

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