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Yiming Wang

Personal Details

First Name:Yiming
Middle Name:
Last Name:Wang
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RePEc Short-ID:pwa568
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Affiliation

Department of Public Economics
School of Economics
Xiamen University

Fujian, China
http://czx.xmu.edu.cn/
RePEc:edi:dpxmucn (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Wang, Yiming & Zhang, Pei & Huang, Dake & Cai, Changda, 2014. "Convergence behavior of carbon dioxide emissions in China," Economic Modelling, Elsevier, vol. 43(C), pages 75-80.
  2. Wang, Yiming, 2013. "A time-consistent model for cooperation in international pollution control," Economic Modelling, Elsevier, vol. 33(C), pages 500-506.
  3. Wang, Yiming, 2011. "The stability of long-run money demand in the United States: A new approach," Economics Letters, Elsevier, vol. 111(1), pages 60-63, April.
  4. Wang, Yiming & Tong, Hanfei, 2008. "Modeling and estimating the jump risk of exchange rates: Applications to RMB," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6575-6583.

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. Wang, Yiming & Zhang, Pei & Huang, Dake & Cai, Changda, 2014. "Convergence behavior of carbon dioxide emissions in China," Economic Modelling, Elsevier, vol. 43(C), pages 75-80.

    Cited by:

    1. Makarov, Igor & Alataş, Sedat, 2024. "Production- and consumption-based emissions in carbon exporters and importers: A large panel data analysis for the EKC hypothesis," Applied Energy, Elsevier, vol. 363(C).
    2. Valerio Mendoza, Octasiano Miguel & Borsi, Mihály Tamás & Comim, Flavio, 2022. "Human capital dynamics in China: Evidence from a club convergence approach," Journal of Asian Economics, Elsevier, vol. 79(C).
    3. Jian-Xin Wu & Ling-Yun He, 2016. "The distribution dynamics of Carbon Dioxide Emission intensity across Chinese provinces: A weighted Approach," Papers 1612.02658, arXiv.org.
    4. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Temporal and Spatial Variations in Provincial CO 2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan," Energies, MDPI, vol. 8(5), pages 1-23, May.
    5. Mar'ia Jos'e Presno & Manuel Landajo, 2024. "EU-28's progress towards the 2020 renewable energy share. A club convergence analysis," Papers 2402.00788, arXiv.org.
    6. Mar'ia Jos'e Presno & Manuel Landajo & Paula Fern'andez Gonz'alez, 2024. "GHG emissions in the EU-28. A multilevel club convergence study of the Emission Trading System and Effort Sharing Decision mechanisms," Papers 2402.01784, arXiv.org, revised Feb 2024.
    7. Hao, Yu & Liao, Hua & Wei, Yi-Ming, 2015. "Is China’s carbon reduction target allocation reasonable? An analysis based on carbon intensity convergence," Applied Energy, Elsevier, vol. 142(C), pages 229-239.
    8. Cai, Yifei & Chang, Tsangyao & Inglesi-Lotz, Roula, 2018. "Asymmetric persistence in convergence for carbon dioxide emissions based on quantile unit root test with Fourier function," Energy, Elsevier, vol. 161(C), pages 470-481.
    9. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    10. Parker, Steven & Liddle, Brantley, 2017. "Economy-wide and manufacturing energy productivity transition paths and club convergence for OECD and non-OECD countries," Energy Economics, Elsevier, vol. 62(C), pages 338-346.
    11. Tsun Se Cheong & Yanrui Wu & Jianxin Wu, 2016. "Evolution of carbon dioxide emissions in Chinese cities: trends and transitional dynamics," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(3), pages 357-377, July.
    12. Cohen, Gail & Jalles, Joao Tovar & Loungani, Prakash & Marto, Ricardo & Wang, Gewei, 2019. "Decoupling of emissions and GDP: Evidence from aggregate and provincial Chinese data," Energy Economics, Elsevier, vol. 77(C), pages 105-118.
    13. Chao Bao & Hongjie Wang, 2019. "Trans-Provincial Convergence of per Capita Energy Consumption in Urban China, 1990–2015," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    14. Belloc, Ignacio & Molina, José Alberto, 2022. "Are greenhouse gas emissions converging in Latin America?," GLO Discussion Paper Series 1037, Global Labor Organization (GLO).
    15. Menegaki, Angeliki N. & Ahmad, Nisar & Aghdam, Reza FathollahZadeh & Naz, Amber, 2021. "The convergence in various dimensions of energy-economy-environment linkages: A comprehensive citation-based systematic literature review," Energy Economics, Elsevier, vol. 104(C).
    16. Parker, Steven & Liddle, Brant, 2017. "Analysing energy productivity dynamics in the OECD manufacturing sector," Energy Economics, Elsevier, vol. 67(C), pages 91-97.
    17. Shi Wang & Hua Wang & Li Zhang & Jun Dang, 2019. "Provincial Carbon Emissions Efficiency and Its Influencing Factors in China," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    18. Wu, Jianxin & Wu, Yanrui & Guo, Xiumei & Cheong, Tsun Se, 2016. "Convergence of carbon dioxide emissions in Chinese cities: A continuous dynamic distribution approach," Energy Policy, Elsevier, vol. 91(C), pages 207-219.
    19. Caiquan Bai & Yuehua Mao & Yuan Gong & Chen Feng, 2019. "Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    20. Grafström, Jonas & Jaunky, Vishal, 2017. "Convergence of Incentive Capabilities within the European Union," Ratio Working Papers 301, The Ratio Institute.
    21. Shiwei Yu & Xing Hu & Xuejiao Zhang & Zhenxi Li, 2019. "Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China," Energy & Environment, , vol. 30(5), pages 776-799, August.
    22. Octavio Fernández-Amador & Doris A. Oberdabernig & Patrick Tomberger, 2019. "Testing for Convergence in Carbon Dioxide Emissions Using a Bayesian Robust Structural Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1265-1286, August.
    23. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Consumption-based and territory-based carbon emissions intensity: Determinants and forecasting using club convergence across countries," Energy Economics, Elsevier, vol. 86(C).
    24. Firat Emir & Mehmet Balcilar & Muhammad Shahbaz, 2018. "Inequality in Carbon Intensity in EU-28: Analysis Based on Club Convergence," Working Papers 15-38, Eastern Mediterranean University, Department of Economics.
    25. Chen, Anping & Groenewold, Nicolaas, 2015. "Emission reduction policy: A regional economic analysis for China," Economic Modelling, Elsevier, vol. 51(C), pages 136-152.
    26. Zhang, Hongwu & Shi, Xunpeng & Cheong, Tsun Se & Wang, Keying, 2020. "Convergence of carbon emissions at the household level in China: A distribution dynamics approach," Energy Economics, Elsevier, vol. 92(C).
    27. Jianxin Wu & Chunbo Ma, 2019. "The Convergence of China’s Marginal Abatement Cost of CO2: An Emission-Weighted Continuous State Space Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(4), pages 1099-1119, April.
    28. Xie, Qichang & Ma, Di & Raza, Muhammad Yousaf & Tang, Songlin & Bai, Dingchuan, 2023. "Toward carbon peaking and neutralization: The heterogeneous stochastic convergence of CO2 emissions and the role of digital inclusive finance," Energy Economics, Elsevier, vol. 125(C).
    29. Yongqing Nan & Qin Li & Jinxiang Yu & Haiya Cai & Qin Zhou, 2020. "Has the emissions intensity of industrial sulphur dioxide converged? New evidence from China’s prefectural cities with dynamic spatial panel models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5337-5369, August.
    30. Rodríguez-Benavides, Domingo & Andrés-Rosales, Roldán & Álvarez-García, José & Bekun, Festus Víctor, 2024. "Convergence of clubs between per capita carbon dioxide emissions from fossil fuels and cement production," Energy Policy, Elsevier, vol. 186(C).
    31. Yang, Jun & Zhang, Tengfei & Sheng, Pengfei & Shackman, Joshua D., 2016. "Carbon dioxide emissions and interregional economic convergence in China," Economic Modelling, Elsevier, vol. 52(PB), pages 672-680.
    32. Belloc, Ignacio & Molina, José Alberto, 2023. "Are greenhouse gas emissions converging in Latin America? Implications for environmental policies," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 337-356.
    33. Jianhuan Huang & Yantuan Yu & Chunbo Ma, 2018. "Energy Efficiency Convergence in China: Catch-Up, Lock-In and Regulatory Uniformity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 107-130, May.
    34. Zhaofu Yang & Yongna Yuan & Yu Tan, 2022. "Club Convergence of Economies’ Per Capita Carbon Emissions: Evidence from Countries That Proposed Carbon Neutrality," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
    35. Parker, Steven & Bhatti, M. Ishaq, 2020. "Dynamics and drivers of per capita CO2 emissions in Asia," Energy Economics, Elsevier, vol. 89(C).
    36. Long, Xingle & Sun, Mei & Cheng, Faxin & Zhang, Jijian, 2017. "Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data," Energy, Elsevier, vol. 134(C), pages 709-717.
    37. UÄŸur UrsavaÅŸ & Veli Yilanci, 2023. "Convergence analysis of ecological footprint at different time scales: Evidence from Southern Common Market countries," Energy & Environment, , vol. 34(2), pages 429-442, March.
    38. Nazlioglu, Saban & Payne, James E. & Lee, Junsoo & Rayos-Velazquez, Marco & Karul, Cagin, 2021. "Convergence in OPEC carbon dioxide emissions: Evidence from new panel stationarity tests with factors and breaks," Economic Modelling, Elsevier, vol. 100(C).
    39. Liu, Chang & Hong, Tao & Li, Huaifeng & Wang, Lili, 2018. "From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China," Energy Policy, Elsevier, vol. 121(C), pages 300-313.
    40. Cuihong Ye & Yiguo Chen & Roula Inglesi-Lotz & Tsangyao Chang, 2020. "CO2 emissions converge in China and G7 countries? Further evidence from Fourier quantile unit root test," Energy & Environment, , vol. 31(2), pages 348-363, March.
    41. Montañés, Antonio & Olmos, Lorena & Reyes, Marcelo, 2018. "Has the Great Recession affected the convergence process? The case of Spanish provinces," Economic Modelling, Elsevier, vol. 68(C), pages 360-371.
    42. Zheng, Shenglin & Yuan, Rong, 2023. "Sectoral convergence analysis of China's emissions intensity and its implications," Energy, Elsevier, vol. 262(PB).
    43. Ivanovski, Kris & Awaworyi Churchill, Sefa, 2020. "Convergence and determinants of greenhouse gas emissions in Australia: A regional analysis," Energy Economics, Elsevier, vol. 92(C).
    44. Apergis, Nicholas & Payne, James E., 2017. "Per capita carbon dioxide emissions across U.S. states by sector and fossil fuel source: Evidence from club convergence tests," Energy Economics, Elsevier, vol. 63(C), pages 365-372.
    45. Qiang Du & Min Wu & Yadan Xu & Xinran Lu & Libiao Bai & Ming Yu, 2018. "Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry," 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. 94(2), pages 519-536, November.

  2. Wang, Yiming, 2013. "A time-consistent model for cooperation in international pollution control," Economic Modelling, Elsevier, vol. 33(C), pages 500-506.

    Cited by:

    1. Wang, Yiming & Zhang, Pei & Huang, Dake & Cai, Changda, 2014. "Convergence behavior of carbon dioxide emissions in China," Economic Modelling, Elsevier, vol. 43(C), pages 75-80.

  3. Wang, Yiming, 2011. "The stability of long-run money demand in the United States: A new approach," Economics Letters, Elsevier, vol. 111(1), pages 60-63, April.

    Cited by:

    1. Stephen M. Miller & Luis F. Martins & Rangan Gupta, 2014. "A Time-Varying Approach of the US Welfare Cost of Inflation," Working papers 2014-11, University of Connecticut, Department of Economics.
    2. Sahin, Afsin, 2013. "Estimating Money Demand Function by a Smooth Transition Regression Model: An Evidence for Turkey," MPRA Paper 46851, University Library of Munich, Germany.
    3. Ufuk CAN & Zeynep Gizem CAN & Süleyman DEĞİRMEN, 2019. "Paranın Dolaşım Hızının ve Para Talebi Fonksiyonunun Ekonometrik Analizi: Türkiye Örneği," Istanbul Business Research, Istanbul University Business School, vol. 48(2), pages 218-247, November.
    4. Richard G. Anderson & Michael Bordo & John V. Duca, 2016. "Money and Velocity During Financial Crises: From the Great Depression to the Great Recession," Economics Working Papers 16111, Hoover Institution, Stanford University.
    5. Matteo Mogliani & Giovanni Urga, 2018. "On the Instability of Long‐Run Money Demand and the Welfare Cost of Inflation in the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1645-1660, October.
    6. Karsten Schweikert, 2020. "Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions," Papers 2001.07949, arXiv.org, revised Apr 2021.
    7. Karsten Schweikert, 2022. "Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 83-104, January.
    8. Mohsen Bahmani-Oskooee & Majid Maki-Nayeri, 2018. "Asymmetric Effects of Policy Uncertainty on the Demand for Money in the United States," JRFM, MDPI, vol. 12(1), pages 1-13, December.

  4. Wang, Yiming & Tong, Hanfei, 2008. "Modeling and estimating the jump risk of exchange rates: Applications to RMB," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6575-6583.

    Cited by:

    1. Cristescu, C.P. & Stan, C. & Scarlat, E.I., 2009. "The dynamics of exchange rate time series and the chaos game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(23), pages 4845-4855.
    2. Li, Xiao-Ping & Feng, Yun & Wu, Chong-Feng & Xu, Wei-Dong, 2013. "Response of the term structure of forward exchange rate to jump in the interest rate," Economic Modelling, Elsevier, vol. 30(C), pages 863-874.
    3. Rodríguez Nava Abigail & Francisco Venegas Martínez, 2010. "Efectos del tipo de cambio sobre el déficit público: modelos de simulación Monte Carlo," Contaduría y Administración, Accounting and Management, vol. 55(3), pages 11-40, septiembr.

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