The impact of relative energy prices on industrial energy consumption in China: a consideration of inflation costs

References

• Altounjy, R., Alaeddin, O., Hussain, H. I., & Sebastian, K. (2020). Moving from bricks to clicks: Merchants’ acceptance of the mobile payment in Malaysia. International Journal of eBusiness and eGovernment Studies, 12(2), 136–150. https://doi.org/10.34111/ijebeg.202012204
   Google Scholar
• Ang, B. W. (2004). Decomposition analysis for policymaking in energy: Which is the preferred method? Energy Policy, 32(9), 1131–1139. https://doi.org/10.1016/S0301-4215(03)00076-4
   Web of Science ®Google Scholar
• Ang, B. W., & Liu, N. (2007). Handling zero values in the logarithmic mean Divisia index decomposition approach. Energy Policy, 35(1), 238–246. https://doi.org/10.1016/j.enpol.2005.11.001
   Web of Science ®Google Scholar
• Ang, B. W., Xu, X., & Su, B. (2015). Multi-country comparisons of energy performance: The index decomposition analysis approach. Energy Economics, 47, 68–76. https://doi.org/10.1016/j.eneco.2014.10.011
   Web of Science ®Google Scholar
• Anugrah, Y. R., & Dianawati, W. (2020). Corporate social responsibility (CSR) disclosure, earnings response coefficient (ERC), and the chance to grow. Spanish Journal of Economics and Finance, 43(123), 382–390. https://doi.org/10.32826/cude.v4i123.400
   Google Scholar
• Asha, A., & Makalela, K. (2020). Challenges in the implementation of integrated development plan and service delivery in Lepelle-Nkumphi municipality, Limpopo province. International Journal of Economics and Finance Studies, 12(1), 1–15. https://doi.org/10.34109/ijefs.202012101
   Google Scholar
• Auriacombe, C., & Sithomola, T. (2020). The use of participatory action research in a participative democracy: In critique of mechanisms for citizen participation. International Journal of Social Sciences and Humanity Studies, 12(1), 50–65.
   Google Scholar
• Babu, A. (2021). Foreign direct investment—Domestic investment nexus: Evidence from India. Contemporary Economics, 15(3), 267–275. https://doi.org/10.5709/ce.1897-9254.448
   Web of Science ®Google Scholar
• Barkhuizen, N., Lesenyeho, D., & Schutte, N. (2020). Talent retention of academic staff in South African higher education institutions. International Journal of Business and Management Studies, 12(1), 191–207.
   Google Scholar
• Blundell, R., Pashardes, P., & Weber, G. (1993). What do we learn about consumer demand patterns from micro data? The American Economic Review, 83(3), 570–597.
   Web of Science ®Google Scholar
• Burniaux, J.-M., & Truong, T. P. (2002). GTAP-E: An energy-environmental version of the GTAP model [GTAP Technical Papers, 18].
   Google Scholar
• Cansino, J. M., Roman, R., & Ordonez, M. (2016). Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis. Energy Policy, 89, 150–159. https://doi.org/10.1016/j.enpol.2015.11.020
   Web of Science ®Google Scholar
• Cansino, J. M., Sánchez-Braza, A., & Rodríguez-Arévalo, M. L. (2015). Driving forces of Spain’s CO2 emissions: A LMDI decomposition approach. Renewable and Sustainable Energy Reviews, 48, 749–759. https://doi.org/10.1016/j.rser.2015.04.011
   Web of Science ®Google Scholar
• Carmona, M., Feria, J., Golpe, A. A., & Iglesias, J. (2017). Energy consumption in the US reconsidered. Evidence across sources and economic sectors. Renewable and Sustainable Energy Reviews, 77, 1055–1068. https://doi.org/10.1016/j.rser.2016.11.227
   Web of Science ®Google Scholar
• Castillo-Vergara, M., Quispe-Fuentes, I., & Poblete, J. (2021). Technological innovation in the food industry: A bibliometric analysis. Engineering Economics, 32(3), 197–209. https://doi.org/10.5755/j01.ee.32.3.26000
   Google Scholar
• Cesarec, I., Mikac, R., & Spevec, D. (2020). The concept of human security as a basis for the application of big data concept in establishment of early warning system for crisis management in the Republic of Croatia. Croatian International Relations Review, 26(86), 72–95. https://doi.org/10.37173/cirr.26.86.3
   Web of Science ®Google Scholar
• Chen, G., Hadjikakou, M., & Wiedmann, T. (2017). Urban carbon transformations: Unravelling spatial and inter-sectoral linkages for key city industries based on multi-region input–output analysis. Journal of Cleaner Production, 163, 224–240. https://doi.org/10.1016/j.jclepro.2016.04.046
   Web of Science ®Google Scholar
• Corrás-Arias, M. Á. (2020). Determinants of foreign banking in Spain. An analysis by country of origin. Spanish Journal of Economics and Finance, 43(121), 48–62. https://doi.org/10.32826/cude.v43i121.110
   Google Scholar
• De Jongh, J. (2020). Economic globalisation and government size: Testing the compensation hypothesis in South Africa’s public sector. International Journal of Business and Management Studies, 12(1), 66–83.
   Google Scholar
• Dlalisa, S. F., & Govender, D. W. (2020). Challenges of acceptance and usage of a learning management system amongst academics. International Journal of eBusiness and eGovernment Studies, 12(1), 63–78.
   Google Scholar
• Emeljanovas, A., Mieziene, B., Putriute, V., Sinkariova, L., Tilindiene, I., & Trinkuniene, L. (2020). The relationship between objectively measured class physical activity and teachers’ autonomy supportive and controlling behaviors. Journal of Sport Psychology, 29(5), 54–62. doi:https://rpd-online.com/index.php/rpd/issue/view/6/7
   Google Scholar
• Ferdaus, J., Appiah, B. K., Majumder, S. C., & Martial, A. A. A. (2020). A panel dynamic analysis on energy consumption, energy prices and economic growth in next 11 countries. International Journal of Energy Economics and Policy, 10(6), 87–99. https://doi.org/10.32479/ijeep.9880
   Google Scholar
• Ghauri, S., Ahmed, R. R., Arby, M. F., & Martinkute-Kauliene, R. (2020). Assessment of effects of relative price variability on inflation. Transformations in Business and Economics, 19(1), 306–322.
   Web of Science ®Google Scholar
• Gohin, A. (2005). The specification of price and income elasticities in computable general equilibrium models: An application of latent separability. Economic Modelling, 22(5), 905–925. https://doi.org/10.1016/j.econmod.2005.06.005
   Web of Science ®Google Scholar
• Gohin, A., & Chantret, F. (2010). The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages. Energy Policy, 38(1), 333–339. https://doi.org/10.1016/j.enpol.2009.09.023
   Web of Science ®Google Scholar
• Gong, Q., Tang, Z., & Xu, B. (2021). Trading behaviors on knowledge of price discovery in futures markets. Journal of Innovation & Knowledge, 6(3), 191–195. https://doi.org/10.1016/j.jik.2021.03.001
   Web of Science ®Google Scholar
• Gorączkowska, J. (2020). Enterprise innovation in technology incubators and university business incubators in the context of Polish industry. Oeconomia Copernicana, 11(4), 799–817. https://doi.org/10.24136/oc.2020.032
   Web of Science ®Google Scholar
• Hamilton, J. D. (2008). Oil and the Macroeconomy. The New Palgrave Dictionary of Economics, 2, 1–17.
   Google Scholar
• Hamilton, J. D. (2013). Oil prices, exhaustible resources and economic growth. In Roger Fouquet (ed.), Handbook on energy and climate change (pp. 29–63). Edward Elgar Publishing. https://doi.org/10.4337/9780857933683.00007
   Google Scholar
• Ike, G. N., Usman, O., Alola, A. A., & Sarkodie, S. A. (2020). Environmental quality effects of income, energy prices and trade: The role of renewable energy consumption in G-7 countries. Science of the Total Environment, 721, 137813. https://doi.org/10.1016/j.scitotenv.2020.137813
   PubMed Web of Science ®Google Scholar
• Keeney, R., & Hertel, T. (2005). GTAP-AGR: A framework for assessing the implications of multilateral changes in agricultural policies [GTAP Technical Papers, 25].
   Google Scholar
• Kennedy, P. L., Schmitz, A., & DeLong, K. L. (2020). Biotechnology and demand concerns: The case of genetically modified US sugar beets. AgBioForum, 22(1), 49–60.
   Google Scholar
• Kilian, L. (2008). Exogenous oil supply shocks: How big are they and how much do they matter for the US economy? Review of Economics and Statistics, 90(2), 216–240. https://doi.org/10.1162/rest.90.2.216
   Web of Science ®Google Scholar
• Kim, I.-M., & Loungani, P. (1992). The role of energy in real business cycle models. Journal of Monetary Economics, 29(2), 173–189. https://doi.org/10.1016/0304-3932(92)90011-P
   Web of Science ®Google Scholar
• Lan, T., Chen, Y., Li, H., Guo, L., & Huang, J. (2021). From driver to enabler: The moderating effect of corporate social responsibility on firm performance. Economic Research-Ekonomska Istraživanja, 34(1), 2240–2262.
   Web of Science ®Google Scholar
• Leikin, M., Tovli, E., & Woldo, A. (2020). The interplay of bilingualism, executive functions and creativity in problem solving among male university students. Creativity Studies, 13(2), 308–324. https://doi.org/10.3846/cs.2020.10397
   Google Scholar
• Makhalima, J. L. (2020). An analysis of the determinants of child poverty in South Africa. International Journal of Economics and Finance, 12(2), 406–421. https://doi.org/10.34109/ijefs.202012210
   Google Scholar
• Malla, S., & Brewin, D. G. (2020). An economic account of innovation policy in Canada: A comparison of canola, wheat, and pulses. AgBioForum, 22(1), 25–36.
   Google Scholar
• Matyushok, V., Krasavina, V., Berezin, A., & García, J. S. (2021). The global economy in technological transformation conditions: A review of modern trends. Economic Research-Ekonomska Istraživanja, 34(1), 1471–1497. https://doi.org/10.1080/1331677X.2020.1844030
   Web of Science ®Google Scholar
• Mohsin, M., Naiwen, L., Zia-Ur-Rehman, M., Naseem, S., & Baig, S. A. (2020). The volatility of bank stock prices and macroeconomic fundamentals in the Pakistani context: An application of GARCH and EGARCH models. Oeconomia Copernicana, 11(4), 609–636. https://doi.org/10.24136/oc.2020.025
   Web of Science ®Google Scholar
• Molek-Kozakowska, K., & Kampka, A. (2021). Creative reconstructions of political imagery in an Instagram-based election campaign: Implications for visual rhetorical literacy. Creativity Studies, 14(2), 307–322. https://doi.org/10.3846/cs.2021.14524
   Google Scholar
• Mukherjee, K. (2008). Energy use efficiency in the Indian manufacturing sector: An interstate analysis. Energy Policy, 36(2), 662–672. https://doi.org/10.1016/j.enpol.2007.10.015
   Web of Science ®Google Scholar
• Pernetti, R., Garzia, F., & Oberegger, U. F. (2021). Sensitivity analysis as support for reliable life cycle cost evaluation applied to eleven nearly zero-energy buildings in Europe. Sustainable Cities and Society, 74, 103–114.
   Web of Science ®Google Scholar
• Ren, Y., Deng, L.-Y., Zuo, S.-D., Song, X.-D., Liao, Y.-L., Xu, C.-D., Chen, Q., Hua, L.-Z., & Li, Z.-W. (2016). Quantifying the influences of various ecological factors on land surface temperature of urban forests. Environmental Pollution, 216, 519–529. https://doi.org/10.1016/j.envpol.2016.06.004
   PubMed Web of Science ®Google Scholar
• Román-Collado, R., & Morales-Carrión, A. V. (2018). Towards a sustainable growth in Latin America: A multiregional spatial decomposition analysis of the driving forces behind CO2 emissions changes. Energy Policy, 115, 273–280. https://doi.org/10.1016/j.enpol.2018.01.019
   Web of Science ®Google Scholar
• Román-Collado, R., Ordoñez, M., & Mundaca, L. (2018). Has electricity turned green or black in Chile? A structural decomposition analysis of energy consumption. Energy, 162, 282–298. https://doi.org/10.1016/j.energy.2018.07.206
   Web of Science ®Google Scholar
• Rudnicki, S. (2021). What are ideas made of? On the socio-materiality of creative processes. Creativity Studies, 14(1), 187–196. https://doi.org/10.3846/cs.2021.13259
   Google Scholar
• Si, S., Lyu, M., Lawell, C.-Y C. L., & Chen, S. (2018). The effects of energy-related policies on energy consumption in China. Energy Economics, 76, 202–227. https://doi.org/10.1016/j.eneco.2018.10.013
   Web of Science ®Google Scholar
• Song, Y., Huang, J., Zhang, Y., & Wang, Z. (2019). Drivers of metal consumption in China: An input-output structural decomposition analysis. Resources Policy, 63, 101421. https://doi.org/10.1016/j.resourpol.2019.101421
   Web of Science ®Google Scholar
• Staff, I. P., Vincent, D. P., Dixon, P. B., Parmenter, B., Sams, D., & IMPACT Project Staff. (1979). The short‐term effect of domestic oil price increases on the Australian economy with special reference to the agricultural sector. Australian Journal of Agricultural Economics, 23(2), 79–101. https://doi.org/10.1111/j.1467-8489.1979.tb00234.x
   Google Scholar
• Streimikiene, D., & Akberdina, V. (2021). Public views of the economy of the renewable energy sources: Evidence from Russia. Contemporary Economics, 15(3), 256–266. https://doi.org/10.5709/ce.1897-9254.447
   Web of Science ®Google Scholar
• Svoboda, O. (2020). War by other means: Geoeconomics and statecraft _ By Robert D. Blackwill and Jennifer M. Harris. Croatian International Relations Review, 26(86), 183–186. https://doi.org/10.37173/cirr.26.86.8
   Web of Science ®Google Scholar
• Tokgoz, S., Elobeid, A., Fabiosa, J., Hayes, D. J., Babcock, B. A., Yu, T. H., Dong, F., & Hart, C. E. (2008). Bottlenecks, drought, and oil price spikes: Impact on US ethanol and agricultural sectors. Applied Economic Perspectives and Policy, 30(4), 604–622.
   Google Scholar
• Usman, O., Iorember, P. T., & Uzner, G. (2020). Measuring the pass-through of disaggregated energy prices in the US: Evidence from a nonlinear ARDL approach. International Journal of Strategic Energy and Environmental Planning, 2(3), 60–77.
   Google Scholar
• Vaitkevicius, S., Papsiene, P., & Vaitkevicius, J. V. (2021). Rethinking a timely response of human resources to global signals: A case of organizational reflexes. Engineering Economics, 32(1), 48–59. https://doi.org/10.5755/j01.ee.32.1.24199
   Google Scholar
• Vveinhardt, J., Majauskiene, D., & Valanciene, D. (2020). Does perceived stress and workplace bullying alter employees’ moral decision-making? Gender-related differences. Transformations in Business and Economics, 19(1), 323–342.
   Web of Science ®Google Scholar
• Wang, J. F., Li, X. H., Christakos, G., Liao, Y. L., Zhang, T., Gu, X., & Zheng, X. Y. (2010). Geographical detectors‐based health risk assessment and its application in the neural tube defects study of the Heshun Region, China. International Journal of Geographical Information Science, 24(1), 107–127. https://doi.org/10.1080/13658810802443457
   Web of Science ®Google Scholar
• Xiong, Z., Ye, J., & Wang, P. (2019). Does the institutional environment affect the failed technological innovation in firms? Evidence from listed companies in China's pharmaceutical manufacturing industry. Transformations in Business & Economics, 18(1), 60–80.
   Web of Science ®Google Scholar
• Žmuidzinaitė, R., Žalgevičienė, S., & Užienė, L. (2021). Factors influencing the performance of technology transfer offices: The case of the European Consortium of Innovative Universities. Inžinerinė Ekonomika, 32(3), 221–233.
   Web of Science ®Google Scholar