Abstract
This study intends to test the connection between fiscal decentralization, energy demand dynamics, and energy poverty status from the context of China. The study has collected large datasets ranging from 2001 to 2019 to justify the empirical findings. The long-run analysis economic techniques were considered and applied for this. The results indicated that a 1% adverse change in energy demand dynamics causes 13% of energy poverty. Supportively, a 1% positive rise in energy supply to fulfill energy demand reduces energy poverty by 9.4% in the study context. Moreover, empirical findings show that a 7% rise in fiscal decentralization accelerates 19% fulfillment in energy demand and mitigates energy poverty up to 10.5%. We demonstrate that if enterprises can only alter their technology choices in the long run, the short-run reaction of energy demand must be less than the long-run response. Second, we demonstrate that the elasticity of demand approaches its long-run level exponentially at the rate defined by the capital depreciation rate and the economy’s growth rate, using a putty-clay model with induced technical development. According to the model, it takes more than 8 years for half of the long-run impact of induced technological change on energy consumption to be realized in industrialized nations once the carbon price is implemented. This research document also gives multiple policy directions for policy developers.
Similar content being viewed by others
Data availability
Data is publicly available at mentioned sources in data section.
Materials availability
Data is publicly available at mentioned sources in data section.
References
Adusah-Poku F, Takeuchi K (2019) Energy poverty in Ghana: any progress so far? Renew Sustain Energy Rev 112:853–864
Agyekum EB, Amjad F, Mohsin M, Ansah MNS (2021) A bird’s eye view of Ghana’s renewable energy sector environment: a multi-criteria decision-making approach. Util Policy 70:101219
Ahmad S, Islam T, Sadiq M, Kaleem A (2021) Promoting green behavior through ethical leadership: a model of green human resource management and environmental knowledge. Leadersh Org Dev J 42(4):531–547
Alemzero DA, Iqbal N, Iqbal S, Mohsin M, Chukwuma NJ, Shah BA (2021) Assessing the perceived impact of exploration and production of hydrocarbons on households perspective of environmental regulation in Ghana. Environ Sci Pollut Res 28(5):5359–5371
Anh Tu C, Chien F, Hussein MA, Yanto Ramli MM, Psi MM, Mochamad SS, Iqbal S, Bilal AR (2021) Estimating role of green financing on energy security, economic and environmental integration of BRI member countries. Singapore Econ Rev. https://doi.org/10.1142/S0217590821500193
Anser MK, Yousaf Z, Nassani AA, Abro MMQ, Zaman K, Kabbani A (2020) Evaluating ecological footprints through inbound tourism, population density, and global trade. Pol J Environ Stud. https://doi.org/10.15244/pjoes/122445
Aristondo O, Onaindia E (2018) Counting energy poverty in Spain between 2004 and 2015. Energy Policy 113:420–429
Baloch ZA, Tan Q, Iqbal N, Mohsin M, Abbas Q, Iqbal W, Chaudhry IS (2020) Trilemma assessment of energy intensity, efficiency, and environmental index: evidence from BRICS countries. Environ Sci Pollut Res 27(27):34337–34347
Barnes DF, Khandker SR, Samad HA (2011) Energy poverty in rural Bangladesh. Energy Policy 39(2):894–904
Bednar DJ, Reames TG (2020) Recognition of and response to energy poverty in the United States. Nat Energy 5(6):432–439
Bhide A, Monroy CR (2011) Energy poverty: a special focus on energy poverty in India and renewable energy technologies. Renew Sustain Energy Rev 15(2):1057–1066
Bouzarovski S, Petrova S, Sarlamanov R (2012) Energy poverty policies in the EU: a critical perspective. Energy Policy 49:76–82
Bradshaw J, Hutton S (1983) Social policy options and fuel poverty. J Econ Psychol 3(3-4):249–266
Butler C, Parkhill KA, Shirani F, Henwood K, Pidgeon N (2014) Examining the dynamics of energy demand through a biographical lens. Nat Cult 9(2):164–182
Chien F, Pantamee AA, Hussain MS, Chupradit S, Nawaz MA, Mohsin M (2021) Nexus between financial innovation and bankruptcy: evidence from information, communication and technology (ict) sector. Singap Econ Rev :1–22. https://doi.org/10.1142/S0217590821500181
Culver L (2017) Energy poverty: what you measure matters. In Proceedings of the Reducing Energy Poverty with Natural Gas: Changing Political, Business and Technology Paradigms Symposium, Stanford, CA, USA, pp. 9–10
Day R, Walker G, Simcock N (2016) Conceptualising energy use and energy poverty using a capabilities framework. Energy Policy 93:255–264
Deller D, Waddams C (2018) UK energy expenditure shares–a long term view
Halff A, Sovacool BK, Rozhon J (eds) (2014) Energy poverty: global challenges and local solutions. Oxford University Press, Oxford
Halicioglu F (2007) Residential electricity demand dynamics in Turkey. Energy Econ 29(2):199–210
Hekkenberg M, Moll HC, Uiterkamp AS (2009) Dynamic temperature dependence patterns in future energy demand models in the context of climate change. Energy 34(11):1797–1806
Herrero ST (2017) Energy poverty indicators: a critical review of methods. Indoor Built Environ 26(7):1018–1031
Hong L, Zhou N, Feng W, Khanna N, Fridley D, Zhao Y, Sandholt K (2016) Building stock dynamics and its impacts on materials and energy demand in China. Energy Policy 94:47–55
Hui A, Walker G (2018) Concepts and methodologies for a new relational geography of energy demand: social practices, doing-places and settings. Energy Res Soc Sci 36:21–29
Iacopini I, Schäfer B, Arcaute E, Beck C, Latora V (2020) Multilayer modeling of adoption dynamics in energy demand management. Chaos: An Interdisciplinary Journal of Nonlinear Science 30(1):013153
Iqbal S, Bilal AR (2021) Energy financing in COVID-19: how public supports can benefit?. China Finance Rev Int 12(2):219–240
Iqbal W, Tang YM, Chau KY, Irfan M, Mohsin M (2021b) Nexus between air pollution and NCOV-2019 in China: application of negative binomial regression analysis. Process Saf Environ Prot 150:557–565
Iqbal S, Taghizadeh-Hesary F, Mohsin M, Iqbal W (2021a) Assessing the role of the green finance index in environmental pollution reduction. Stud Appl Econ 39(3). https://doi.org/10.25115/eea.v39i3.4140
Iram R, Anser MK, Awan RU, Ali A, Abbas Q, Chaudhry IS (2021) Prioritization of renewable solar energy to prevent energy insecurity: an integrated role. Singapore Econ Rev 66(02):391–412
Kaygusuz K (2011) Energy services and energy poverty for sustainable rural development. Renew Sustain Energy Rev 15(2):936–947
Kroll F, Müller F, Haase D, Fohrer N (2012) Rural–urban gradient analysis of ecosystem services supply and demand dynamics. Land Use Policy 29(3):521–535
Kuper GH, van Soest D (2003) Does oil price uncertainty affect economic activity?. https://doi.org/10.2139/ssrn.379160
Lescaroux F (2011) Dynamics of final sectoral energy demand and aggregate energy intensity. Energy Policy 39(1):66–82
Li W, Chien F, Hsu CC, Zhang Y, Nawaz MA, Iqbal S, Mohsin M (2021a) Nexus between energy poverty and energy efficiency: estimating the long-run dynamics. Resour Policy 72:102063
Li W, Chien F, Ngo QT, Nguyen TD, Iqbal S, Bilal AR (2021b) Vertical financial disparity, energy prices and emission reduction: empirical insights from Pakistan. J Environ Manag 294:112946
Li Y, Wang S, Xu T, Li J, Zhang Y, Xu T, Yang J (2021c) Novel designs for the reliability and safety of supercritical water oxidation process for sludge treatment. Process Saf Environ Prot 149:385–398
Liu J (2004) Macroeconomic determinants of corporate failures: evidence from the UK. Appl Econ 36(9):939–945
Maxim A, Mihai C, Apostoaie CM, Popescu C, Istrate C, Bostan I (2016) Implications and measurement of energy poverty across the European Union. Sustainability 8(5):483
Meyer S, Laurence H, Bart D, Middlemiss L, Maréchal K (2018) Capturing the multifaceted nature of energy poverty: lessons from Belgium. Energy Res Soc Sci 40:273–283
Mohsin M, Hanif I, Taghizadeh-Hesary F, Abbas Q, Iqbal W (2021a) Nexus between energy efficiency and electricity reforms: a DEA-Based way forward for clean power development. Energy Policy 149:112052
Mohsin M, Kamran HW, Nawaz MA, Hussain MS, Dahri AS (2021b) Assessing the impact of transition from nonrenewable to renewable energy consumption on economic growth-environmental nexus from developing Asian economies. J Environ Manag 284:111999
Nussbaumer P, Bazilian M, Modi V (2012) Measuring energy poverty: focusing on what matters. Renew Sustain Energy Rev 16(1):231–243
Nussbaumer P, Nerini FF, Onyeji I, Howells M (2013) Global insights based on the multidimensional energy poverty index (MEPI). Sustainability 5(5):2060–2076
Okushima S (2016) Measuring energy poverty in Japan, 2004–2013. Energy Policy 98:557–564
Pachauri S, Mueller A, Kemmler A, Spreng D (2004) On measuring energy poverty in Indian households. World Dev 32(12):2083–2104
Papada L, Kaliampakos D (2016) Measuring energy poverty in Greece. Energy Policy 94:157–165
Papada L, Kaliampakos D (2018) A stochastic model for energy poverty analysis. Energy Policy 116:153–164
Ruellan M, Park H, Bennacer R (2016) Residential building energy demand and thermal comfort: Thermal dynamics of electrical appliances and their impact. Energy and Build 130:46–54
Sagar AD (2005) Alleviating energy poverty for the world’s poor. Energy Policy 33(11):1367–1372
Sareen S, Thomson H, Herrero ST, Gouveia JP, Lippert I, Lis A (2020) European energy poverty metrics: Scales, prospects and limits. Glob Transit 2:26–36
Scarpellini S, Hernández MAS, Moneva JM, Portillo-Tarragona P, Rodríguez MEL (2019) Measurement of spatial socioeconomic impact of energy poverty. Energy Policy 124:320–331
Shove E, Walker G (2014) What is energy for? Social practice and energy demand. Theory Cult Soc 31(5):41–58
Shove E, Watson M, Spurling N (2015) Conceptualizing connections: energy demand, infrastructures and social practices. Eur J Soc Theory 18(3):274–287
Sisodia GS, Sahay M, Singh P (2016) System dynamics methodology for the energy demand fulfillment in India: A preliminary study. Energy Procedia 95:429–434
Sun L, Qin L, Taghizadeh-Hesary F, Zhang J, Mohsin M, Chaudhry IS (2020) Analyzing carbon emission transfer network structure among provinces in China: new evidence from social network analysis. Environ Sci Pollut Res 27(18):23281–23300
Tehreem HS, Anser MK, Nassani AA, Abro MMQ, Zaman K (2020) Impact of average temperature, energy demand, sectoral value added, and population growth on water resource quality and mortality rate: it is time to stop waiting around. Environ Sci Pollut Res 27(30):37626–37644
Thomson H, Bouzarovski S, Snell C (2017a) Rethinking the measurement of energy poverty in Europe: a critical analysis of indicators and data. Indoor Built Environ 26(7):879–901
Thomson H, Snell C, Bouzarovski S (2017b) Health, well-being and energy poverty in Europe: a comparative study of 32 European countries. Int J Environ Res Public Health 14(6):584
Tiep NC, Wang M, Mohsin M, Kamran HW, Yazdi FA (2021) An assessment of power sector reforms and utility performance to strengthen consumer self-confidence towards private investment. Econ Anal Policy 69:676–689
Waddams Price C (2018) Back to the future? Regulating residential energy markets. Int J Econ Bus 25(1):147–155
Walker G (2014) The dynamics of energy demand: change, rhythm and synchronicity. Energy Res Soc Sci 1:49–55
Xian J, Li B, Huang H (2020) Transformational leadership and employees’ thriving at work: the mediating roles of challenge-hindrance stressors. Front Psychol 11:1400
Xu Y, Chen Z, Peng MYP, Anser MK (2020) Enhancing consumer online purchase intention through gamification in China: perspective of cognitive evaluation theory. Front Psychol 11:581200. https://doi.org/10.3389/fpsyg.2020.581200
Yousaf S, Anser MK, Tariq M, Jawad SURS, Naushad S, Yousaf Z (2020) Does technology orientation predict firm performance through firm innovativeness?. World J Entrepr Manag Sustain Dev
Yuan H, Wang Z, Shi Y, Hao J (2021) A dissipative structure theory-based investigation of a construction and demolition waste minimization system in China. J Environ Plan Manag :1–27. https://doi.org/10.1080/09640568.2021.1889484
Zhang D, Mohsin M, Rasheed AK, Chang Y, Taghizadeh-Hesary F (2021) Public spending and green economic growth in BRI region: mediating role of green finance. Energy Policy 153:112256
Author information
Authors and Affiliations
Contributions
Write up corrections, data curation, and supervision: Jianhe Wang; visualization, editing, and writing of draft: Ziman Xiang; writing and software: Xiaohan Jiang; writing, editing, and visualization: Lei Wang; conceptualization, methodology, review, and visualization: Lei Chang.
Corresponding author
Ethics declarations
Ethical approval and consent to participate
We declare that we have no human participants, human data, or human issues.
Consent for publication
We do not have any individual person’s data in any form, and we give consent for publication in true letter and spirit.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Nicholas Apergis
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Wang, J., Xiang, Z., Jiang, X. et al. Impact of financial decentralization on energy poverty and energy demand tendencies in Chinese settings. Environ Sci Pollut Res 30, 70386–70396 (2023). https://doi.org/10.1007/s11356-023-26731-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-26731-w