IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v69y2018icp185-195.html
   My bibliography  Save this item

Does the level of energy intensity matter in the effect of energy consumption on the growth of transition economies? Evidence from dynamic panel threshold analysis

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Ke Zhang & Xingwei Wang, 2021. "Pollution Haven Hypothesis of Global CO 2 , SO 2 , NO x —Evidence from 43 Economies and 56 Sectors," IJERPH, MDPI, vol. 18(12), pages 1-27, June.
  2. Yıldırım, Durmuş Çağrı & Esen, Ömer & Yıldırım, Seda, 2022. "The nonlinear effects of environmental innovation on energy sector-based carbon dioxide emissions in OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  3. Yu-Chen Yang & Cheng-Yih Hong & Syamsiyatul Muzayyanah & Rishan Adha, 2020. "Decomposition of Growth Factors in High-tech Industries and CO2 Emissions: After the World Financial Crisis in 2008," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 500-506.
  4. Özgür ERSİN & Ayfer USTABAŞ & Tuğçe ACAR, 2022. "The Nonlinear Effects of High Technology Exports, R&D and Patents on Economic Growth: A Panel Threshold Approach to 35 OECD Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 26-44, April.
  5. Xue, Wen-Jun, 2020. "Financial sector development and growth volatility: An international study," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 67-88.
  6. Maaouane, Mohamed & Zouggar, Smail & Krajačić, Goran & Zahboune, Hassan, 2021. "Modelling industry energy demand using multiple linear regression analysis based on consumed quantity of goods," Energy, Elsevier, vol. 225(C).
  7. Adedoyin Isola Lawal, 2023. "The Nexus between Economic Growth, Energy Consumption, Agricultural Output, and CO 2 in Africa: Evidence from Frequency Domain Estimates," Energies, MDPI, vol. 16(3), pages 1-27, January.
  8. Geoffrey Ssebabi Mutumba & Tomson Odongo & Francis Nathan Okurut & Vincent Bagire & Livingstone Senyonga, 2022. "Renewable and non-renewable energy consumption and economic growth in Uganda," SN Business & Economics, Springer, vol. 2(7), pages 1-28, July.
  9. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
  10. Talel Boufateh & Imed Attiaoui & Montassar Kahia, 2023. "Does asymmetric birch effect phenomenon matter for environmental sustainability of agriculture in Tunisia?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4237-4267, May.
  11. Ravetti, Chiara & Cambini, Carlo, 2021. "Energy Use Beyond GDP: A Dynamic Panel Analysis with Different Development Indicators," Working Papers 10-2021, Copenhagen Business School, Department of Economics.
  12. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
  13. Wang, Yajie & Yu, Huan & Zhang, Hongda & Chen, Tianyu, 2021. "Non-linear analysis of effects of energy consumption on economic growth in China: Role of real exchange rate," Economic Modelling, Elsevier, vol. 104(C).
  14. Mateusz Jankiewicz & Elżbieta Szulc, 2021. "Analysis of Spatial Effects in the Relationship between CO 2 Emissions and Renewable Energy Consumption in the Context of Economic Growth," Energies, MDPI, vol. 14(18), pages 1-16, September.
  15. Zhang, Hongyan & Chen, Suisui & Wang, Shuhong, 2022. "Impact of economic growth and labor productivity dispersion on energy intensity in China," Energy, Elsevier, vol. 242(C).
  16. Relva, Stefania Gomes & Silva, Vinícius Oliveira da & Gimenes, André Luiz Veiga & Udaeta, Miguel Edgar Morales & Ashworth, Peta & Peyerl, Drielli, 2021. "Enhancing developing countries’ transition to a low-carbon electricity sector," Energy, Elsevier, vol. 220(C).
  17. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
  18. Dagar, Vishal & Dagher, Leila & Rao, Amar & Doytch, Nadia & Kagzi, Muneza, 2024. "Economic policy uncertainty: Global energy security with diversification," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 248-263.
  19. Huang, Junbing & Wang, Yajun & Guo, Lili, 2022. "Energy intensity and energy-specific technological progress: A case study in Guangdong province of China," Renewable Energy, Elsevier, vol. 184(C), pages 990-1001.
  20. Salvatore Favuzza & Mariano Giuseppe Ippolito & Fabio Massaro & Rossano Musca & Eleonora Riva Sanseverino & Giuseppe Schillaci & Gaetano Zizzo, 2018. "Building Automation and Control Systems and Electrical Distribution Grids: A Study on the Effects of Loads Control Logics on Power Losses and Peaks," Energies, MDPI, vol. 11(3), pages 1-15, March.
  21. Elyas Abdulahi Mohamued & Masood Ahmed & Paula Pypłacz & Katarzyna Liczmańska-Kopcewicz & Muhammad Asif Khan, 2021. "Global Oil Price and Innovation for Sustainability: The Impact of R&D Spending, Oil Price and Oil Price Volatility on GHG Emissions," Energies, MDPI, vol. 14(6), pages 1-18, March.
  22. Ruslan Kostyrko & Tetiana Kosova & Lidiia Kostyrko & Liudmyla Zaitseva & Oleksandr Melnychenko, 2021. "Ukrainian Market of Electrical Energy: Reforming, Financing, Innovative Investment, Efficiency Analysis, and Audit," Energies, MDPI, vol. 14(16), pages 1-17, August.
  23. Ning Xu & Fan Zhang & Xin Xuan, 2021. "Impacts of Industrial Restructuring and Technological Progress on PM 2.5 Pollution: Evidence from Prefecture-Level Cities in China," IJERPH, MDPI, vol. 18(10), pages 1-17, May.
  24. Wei, Zixiang & Han, Botang & Pan, Xiuzhen & Shahbaz, Muhammad & Zafar, Muhammad Wasif, 2020. "Effects of diversified openness channels on the total-factor energy efficiency in China's manufacturing sub-sectors: Evidence from trade and FDI spillovers," Energy Economics, Elsevier, vol. 90(C).
  25. Georgeta Soava & Anca Mehedintu, 2023. "Final Energy Consumption—Growth Nexus in Romania Versus the European Union: A Sectoral Approach Using Neural Network," Energies, MDPI, vol. 16(2), pages 1-34, January.
  26. Lee, Chien-Chiang & Yuan, Zihao & Wang, Qiaoru, 2022. "How does information and communication technology affect energy security? International evidence," Energy Economics, Elsevier, vol. 109(C).
  27. Huang, Junbing & Lai, Yali & Hu, Hanlei, 2020. "The effect of technological factors and structural change on China's energy intensity: Evidence from dynamic panel models," China Economic Review, Elsevier, vol. 64(C).
  28. Qi Jiang & Zhigang Yin, 2023. "The Optimal Path for China to Achieve the “Dual Carbon” Target from the Perspective of Energy Structure Optimization," Sustainability, MDPI, vol. 15(13), pages 1-32, June.
  29. Xiaohua Sun & Danish Khan & Yubai Zheng, 2024. "Articulating the Role of Technological Innovation and Policy Uncertainty in Energy Efficiency: an Empirical Investigation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14597-14616, September.
  30. Kalu Ojah & Stella Muhanji & Odongo Kodongo, 2022. "Infrastructure threshold and economic growth in Africa: do income level and geography matter?," Economic Change and Restructuring, Springer, vol. 55(3), pages 1587-1627, August.
  31. Xu, Feng & Wang, Zhanqi & Chi, Guangqing & Zhang, Zhexi, 2020. "The impacts of population and agglomeration development on land use intensity: New evidence behind urbanization in China," Land Use Policy, Elsevier, vol. 95(C).
  32. Hoang, Thi Hong Van & Shahzad, Syed Jawad Hussain & Czudaj, Robert L., 2020. "Renewable energy consumption and industrial production: A disaggregated time-frequency analysis for the U.S," Energy Economics, Elsevier, vol. 85(C).
  33. Yujie Yang & Weixin Luan & Yunan Xue, 2019. "Sustainability and Environmental Inequality: Effects of Animal Husbandry Pollution in China," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
  34. Valadkhani, Abbas & Smyth, Russell & Nguyen, Jeremy, 2019. "Effects of primary energy consumption on CO2 emissions under optimal thresholds: Evidence from sixty countries over the last half century," Energy Economics, Elsevier, vol. 80(C), pages 680-690.
  35. Huang, Junbing & Luan, Bingjiang & He, Wanrui & Chen, Xiang & Li, Mengfan, 2022. "Energy technology of conservation versus substitution and energy intensity in China," Energy, Elsevier, vol. 244(PA).
  36. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
  37. Abdullahi Muazu & Qian Yu & Mona Alariqi, 2023. "The Impact of Renewable Energy Consumption and Economic Growth on Environmental Quality in Africa: A Threshold Regression Analysis," Energies, MDPI, vol. 16(11), pages 1-29, June.
  38. Dennis Dreier & Mark Howells, 2019. "OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling," Energies, MDPI, vol. 12(7), pages 1-26, April.
  39. Lawal, Adedoyin Isola & Ozturk, Ilhan & Olanipekun, Ifedolapo O. & Asaleye, Abiola John, 2020. "Examining the linkages between electricity consumption and economic growth in African economies," Energy, Elsevier, vol. 208(C).
  40. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
  41. Chun Fu & Can Zhou, 2023. "Examining the Impact of Real Estate Development on Carbon Emissions Using Differential Generalized Method of Moments and Dynamic Panel Threshold Model," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.