Skip to main content

Advertisement

Log in

Policy inference from technological innovation, renewable energy, and financial development for sustainable development goals (SDGs): insight from asymmetric and bootstrap Granger causality approaches

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

We researched China’s climate and sustainable development goal with relevant and susceptible instruments capable of inducing and mitigating carbon emissions. Amidst the contributor to the global carbon emissions, China is caught in between mitigating its carbon emission and aiming towards placing its national contribution of emissions to the acceptable levels of 1.5 °C and below 2 °C. Following the intricacies surrounding China’s sustainable development as it contains its economic and environmental performance, we adopt China’s data of 1980 and 2018 with different scientific approaches (nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least square test, and bootstrap Granger causality) with different instruments (such as economic growth, financial development, renewable energy, and innovation policies) to research China’s sustainable development. For clear exposition and insight into our findings with policies attached, we draw a conclusion from the outcomes of the mentioned approaches. From NARDL and dynamic ordinary least squares (DOLS), we find that economic growth through economic activities is statistically significant in determining the trend (increase) of carbon emissions in China in both periods (short run and long run). However, other selected instruments (financial, renewable, and innovation policies) tend towards controlling and moderating the carbon emissions in China. Thus, China has good prospects to mitigate its carbon emissions if considered tailoring its policies towards favorable instruments. From bootstrap Granger causality, we find similar inferential results that support previous findings thereby confirming the positive implication of the selected instruments to China’s sustainable development. Hence, the nexus that is established among the selected instruments clearly show the importance of technological innovation and renewable energy in mitigating carbon emissions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Availability of data and materials

Data sources are outlined above in Table 1 and will be made available on demand.

References

  • Adewuyi AO, Awodumi O (2017a) Renewable and non-renewable energy-growth-emissions linkages: review of emerging trends with policy implications. Renew Sustain Energy Rev 69(C):275–291

    Article  Google Scholar 

  • Adewuyi OA, Awodumi OB (2017b) Renewable and non-renewable energy growth-emissions linkage: review of emerging trends with policy implications. Renew Sustain Energy Rev 69:275–291

    Article  Google Scholar 

  • Ahmad M, Ahmed Z, Majeed A, Huang B (2021) An environmental impact assessment of economic complexity and energy consumption: does institutional quality make a difference?. Environ Impact Assess Rev 89:106603

  • Alam MM, Murad MW (2020) The impacts of economic growth, trade openness and technological progress on renewable energy use in organization for economic co-operation and development countries. Renew Energy 145:382–390. https://doi.org/10.1016/j.renene.2019.06.054

    Article  Google Scholar 

  • Aldieri L, Bruno B, Vinci CP (2018) Does environmental innovation make us happy? An empirical investigation. Socioecon Plann Sci. https://doi.org/10.1016/J.SEPS.2018.10.008

  • Aldieri L, Carlucci F, Vinci CP, Yigitcanlar T (2019) Environmental innovation, knowledge spillovers and policy implications: a systematic review of the economic effects literature. J Clean Prod 239:118051

    Article  Google Scholar 

  • Ali Q, Khan MTI, Khan MNI (2018) Dynamics between financial development, tourism, sanitation, renewable energy, trade and total reserves in 19 Asia Cooperation Dialogue members. J Clean Prod 179:114–131. https://doi.org/10.1016/j.jclepro.2018.01.066

    Article  Google Scholar 

  • Alola AA, Yalçiner K, Alola UV, Saint Akadiri S (2019) The role of renewable energy, immigration and real income in environmental sustainability target. Evidence from Europe largest states. Sci Total Environ 674:307–315

    Article  CAS  Google Scholar 

  • Attiaoui I, Toumi H, Ammouri B, Gargouri I (2017) Causality links among renewable energy consumption, CO2 emissions, and economic growth in Africa: evidence from a panel ARDL-PMG approach. Environ Sci Pollut Res 24:13036–13048. https://doi.org/10.1007/s11356-017-8850-7

    Article  CAS  Google Scholar 

  • Azevedo VG, Sartori S, Campos LMS (2018) CO2 emissions: a quantitative analysis among the BRICS nations. Renew Sust Energ Rev 81:107–115. https://doi.org/10.1016/j.rser.2017.07.027

    Article  CAS  Google Scholar 

  • Bhattacharya M, Paramati SR, Ozturk I, Bhattacharya S (2016) The effect of renewable energy consumption on economic growth: evidence from top 38 countries. Appl Energy 162:733–741

    Article  Google Scholar 

  • Brandão Santana N, Rebelatto DADN, Périco AE et al. (2015) Technological innovation for sustainable development: an analysis of different types of impacts for countries in the BRICS and G7 groups. Int J Sustain Dev World Ecol 1–12. https://doi.org/10.1080/13504509.2015.1069766

  • Brown RL, Durbin J, Evans JM (1975) Techniques for testing the constancy of regression relationships over time. J R Stat Soc: Ser B (Methodol) 37(2):149–163

    Google Scholar 

  • Cancino CA, La Paz AI, Ramaprasad A, Syn T (2018) Technological innovation for sustainable growth: an ontological perspective. J Clean Prod 179:31–41

  • Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc 74(366a):427–431

  • Dong K, Hochman G, Zhang Y, Sun R, Li H, Liao H (2018) CO2 emissions, economic and population growth, and renewable energy: empirical evidence across regions. Energy Econ 75:180–192. https://doi.org/10.1016/j.eneco.2018.08.017

    Article  Google Scholar 

  • Eren BM, Taspinar N, Gokmenoglu KK (2019) The impact of financial development and economic growth on renewable energy consumption: empirical analysis of India. Sci Total Environ 663:189–197. https://doi.org/10.1016/j.scitotenv.2019.01.323

    Article  CAS  Google Scholar 

  • K. Fisher-Vanden, G.H. Jefferson, H. Liu, Q. Tao, K. Fisher-Vanden, G. Jefferson, H. Liu, Q. Tao, What is driving China’s decline in energy intensity? Resour. Energy Econ. 26 (2004) 77e97, 2004:i:1:p:77–97 (accessed August 4, 2020, https://econpapers.repec.org/RePEc:eee:resene:v:26:y.

  • Fu Y, Zhang X (2017) Trajectory of urban sustainability concepts: a 35-year bibliometric analysis. Cities 60:113–123

  • Geng JB, Ji Q (2016) Technological innovation and renewable energy development: evidence based on patent counts. Int J Glob Environ 15:217–234. https://doi.org/10.1504/IJGENVI.2016.076945

    Article  Google Scholar 

  • Godil DI, Sharif A, Agha H, Jermsittiparsert K (2020) The dynamic nonlinear influence of ICT, financial development, and institutional quality on CO2 emission in Pakistan: new insights from QARDL approach. Environ Sci Pollut Res 27:24190–24200

    Article  CAS  Google Scholar 

  • Goodhart C (2004) Financial development and economic growth: explaining the links. Springer

    Book  Google Scholar 

  • Gozgor G, Mahalik MK, Demir E, Padhan H (2020) The impact of economic globalization on renewable energy in the OECD countries. Energy Pol 139:111365. https://doi.org/10.1016/j.enpol.2020.111365

    Article  Google Scholar 

  • Güney T, Kantar K (2020) Biomass energy consumption and sustainable development. International Journal of Sustainable Development & World Ecology 27(8):762–767

  • Hacker S, Hatemi‐JA (2012) A bootstrap test for causality with endogenous lag length choice: theory and application in finance. J Econ Stud

  • Hang L, Tu M (2007) The impacts of energy prices on energy intensity: evidence from China. Energy Pol 35:2978–2988. https://doi.org/10.1016/j.enpol.2006.10.022

    Article  Google Scholar 

  • Hassine HB, Mathieu C (2020) R&D crowding out or R&D leverage effects: an evaluation of the French cluster-oriented technology policy. Technol Forecast Soc Chang 155:120025

  • Hatemi-j A (2012) Asymmetric causality tests with an application. Empir Econ 43(1):447–456

  • Hatemi-JA, Uddin GS (2014) On the causal nexus of remittances and poverty reduction in Bangladesh. Appl Econ 46(4):374–382

  • Inglesi-Lotz R, Dogan E (2018) The role of renewable versus nonrenewable energy to the level of CO2 emissions a panel analysis of sub-Saharan Africa’s Βig 10 electricity generators. Renew Energy 123:36–43. https://doi.org/10.1016/j.renene.2018.02.041

    Article  Google Scholar 

  • Iorember PT, Goshit GG, Dabwor DT (2020) Testing the nexus between renewable energy consumption and environmental quality in Nigeria: the role of broad-based financial development. Afr Dev Rev 32:163–175. https://doi.org/10.1111/1467-8268.12425

    Article  Google Scholar 

  • Jebli MB, Youssef SB (2015) The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia. Renew Sust Energ Rev 47:173–185

    Article  Google Scholar 

  • Kahia M, Ben Aïssa MS, Kadria M, Charfeddine L (2017) Modelling the treatment effect of renewable energy policies on economic growth: evaluation from MENA countries. J Clean Prod 149:845–855

    Article  Google Scholar 

  • Keele L, Kelly NJ (2006) Dynamic models for dynamic theories: the ins and outs of lagged dependent variables. Polit Anal 14(2):186–205

    Article  Google Scholar 

  • Khan SAR, Qianli D (2017) Does national scale economic and environmental indicators spur logistics performance? Evidence from UK. Environ Sci Pollut Res 24(34):26692–26705

  • Khan Z, Ali S, Umar M, Kirikkaleli D, Jiao Z (2020) Consumption-based carbon emissions and international trade in G7 countries: the role of environmental innovation and renewable energy. Sci Total Environ 138945

  • Kirikkaleli D, Adebayo TS (2021) Do renewable energy consumption and financial development matter for environmental sustainability? New global evidence. Sustain Dev 29(4):583–594

  • Kivyiro P, Arminen H (2014) Carbon dioxide emissions, energy consumption, economic growth, and foreign direct investment: causality analysis for Sub-Saharan Africa. Energy 74:595–606. https://doi.org/10.1016/j.energy.2014.07.025

    Article  CAS  Google Scholar 

  • Li X, Song Y, Yao Z, Xiao R (2018) Forecasting China’s CO2 emissions for energy consumption based on cointegration approach. Discrete Dynam Nat Soc 2018:4235076. https://doi.org/10.1155/2018/4235076

    Article  Google Scholar 

  • Lin B, Omoju OE, Okonkwo JU (2016) Factors influencing renewable electricity consumption in China. Renew Sustain Energy Rev 55:687–696. https://doi.org/10.1016/j.rser.2015.11.003

    Article  Google Scholar 

  • Long X, Naminse EY, Du J, Zhuang J (2015) Nonrenewable energy, renewable energy, carbon dioxide emissions and economic growth in China from 1952 to 2012. Renew Sustain Energy Rev 52:680–688

    Article  Google Scholar 

  • Long XL, Chen YQ, Du JG, Oh KY, Han IS (2017) Environmental innovation and its impact on economic and environmental performance: evidence from Korean-owned firms in China. Energy Policy 107:131–137

    Article  Google Scholar 

  • Lu W-C (2017) Renewable energy, carbon emissions, and economic growth in 24 Asian countries: evidence from panel cointegration analysis. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-017-0259-9

    Article  Google Scholar 

  • Martí-Ballester CP (2021) Analyzing the financial performance of sustainable development goals-themed mutual funds in China. Sustainable Production and Consumption 27:858–872

  • Moutinho V, Varum C, Madaleno M (2017) How economic growth affects emissions? An investigation of the environmental Kuznets curve in Portuguese and Spanish economic activity sectors. Energy Policy 106:326–344

    Article  Google Scholar 

  • Mujtaba A, Jena PK (2021) Analyzing asymmetric impact of economic growth, energy use, FDI inflows, and oil prices on CO 2 emissions through NARDL approach. Environ Sci Pollut Res 1–14

  • National People’s Congress, December 24, 2005, http://www.npc.gov.cn/wxzl/gongbao/2005–04/25/content_5337638.htm

  • NDRC-ERI (2016) http://boostre.cnrec.org.cn/index.php/2016/06/21/ 2016062101/?lang=en

  • Omri A (2020) Technological innovation and sustainable development: does the stage of development matter?. Environ Impact Assess Rev 83:106398

  • Phillips PC, Perron P (1988) Testing for a unit root in time series regression. Biometrica 75(2):335–346

  • Porter ME (1990) The competitive advantage of nations. Free Press, New York

    Book  Google Scholar 

  • Raiser K, Naims H, Bruhn T (2017) Corporatization of the climate? Innovation, intellectual property rights, and patents for climate change mitigation. Energy Res Soc Sci 27:1–8. https://doi.org/10.1016/J.ERSS.2017.01.020

    Article  Google Scholar 

  • Rasoulinezhad E, Saboori B (2018) Panel estimation for renewable and nonrenewable energy consumption, economic growth, CO2 emissions, the composite trade intensity, and financial openness of the commonwealth of independent states. Environ Sci Pollut Res 25:17354–17370. https://doi.org/10.1007/s11356-018-1827-3

    Article  CAS  Google Scholar 

  • Razzaq A, Ajaz T, Li JC, Irfan M, Suksatan W (2021) Investigating the asymmetric links between infrastructure development, green innovation, and consumption-based material footprint: novel empirical estimations from highly resource-consuming economies. Resources Policy 74:102302

  • Santra S (2017) The effect of technological innovation on production-based energy and CO2 emission productivity: evidence from BRICS countries. Afr J Sci Technol Innov Dev 9:503–512. https://doi.org/10.1080/20421338.2017.1308069

    Article  Google Scholar 

  • Sebri Maamar, Ben-Salha Ousama (2014) On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries. Renew Sustain Energy Rev 39:14–23. https://doi.org/10.1016/j.rser.2014.07.033

    Article  Google Scholar 

  • Sertoglu K, Philip LD, Emir F (2021) Assessing the role of agriculture and energy use on environmental sustainability: evidence from RALS Cointegration Technique. Int J Energy Econ Policy 11(6):50

    Article  Google Scholar 

  • Shahbaz M, Hye QMA, Tiwari AK, Leitao NC (2013) Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia. Renew Sustain Energy Rev 25:109–121

    Article  Google Scholar 

  • Shahbaz M, Omay T, Roubaud D (2018) Sharp and smooth breaks IN unit root testing OF renewable energy consumption. J Energy Dev 44:5–40

    Google Scholar 

  • Shin Y, Yu B, Greenwood-Nimmo M (2014) Modeling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in honor of Peter Schmidt. Springer, New York, NY, pp 281–314

  • Sinha A, Sengupta T, Alvarado R (2020) Interplay between technological innovation and environmental quality: formulating the SDG policies for next 11 economies. J Clean Prod 242:118549

    Article  Google Scholar 

  • Sonntag-O’Brien V, Usher E (2006) Mobilizing finance for renewable energies. In: Aßmann D, Laumanns U, Uh D (eds) Renewable energy: a global review of technologies, policies and markets. Earthscan, Sterling, VA, USAISBN, 978-1

  • Su H-N, Moaniba IM (2017) Does innovation respond to climate change? Empirical evidence from patents and greenhouse gas emissions. Technol Forecast Soc Chang 122:49–62. https://doi.org/10.1016/J.TECHFORE.2017.04.017

    Article  Google Scholar 

  • Tabrizian P, Baran PK, Smith WR, Meentemeyer RK (2018) Exploring perceived restoration potential of urban green enclosure through immersive virtual environments. J Environ Psychol 55:99–109

  • Tiba S, Belaid F (2020) The pollution concern in the era of globalization: do the contribution of foreign direct investment and trade openness matter?. Energy Economics 92:104966

  • Udemba EN (2019) Triangular nexus between foreign direct investment, international tourism, and energy consumption in the Chinese economy: accounting for environmental quality. Environ Sci Pollut Res 26(24):24819–24830

    Article  CAS  Google Scholar 

  • Udemba EN (2021) Mitigating environmental degradation with institutional quality and foreign direct investment (FDI): new evidence from asymmetric approach. Environ Sci Pollut Res 1–15

  • Wang ML, Wang W, Du SY, Li CF, He Z (2019) Causal relationships between carbon dioxide emissions and economic factors: evidence from China. Sustain Dev Sustain Dev 1–10. https://doi.org/10.1002/sd.1966 (sd.1966)

  • Yavuz NC (2014) CO2 emission, energy consumption, and economic growth for Turkey: evidence from a cointegration test with a structural break. Energy Sources, Part B: Economics, Planning, and Policy 9(3):229–235

  • Yu Y, Du Y (2019) Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘new normal’ economy in China. Atmos Pollut Res 10:152–161. https://doi.org/10.1016/j.apr.2018.07.005

    Article  CAS  Google Scholar 

  • Yii K, Geetha C (2017) The nexus between technology innovation and CO 2 emissions in Malaysia: evidence from granger causality test. Energy Procedia 105:3118–3124. https://doi.org/10.1016/j.egypro.2017.03.654

    Article  Google Scholar 

  • Ziolo M, Bak I, Cheba K (2021) The role of sustainable finance in achieving sustainable development goals: does it work?. Technol Econ Dev Econ 27(1):45–70

Download references

Acknowledgements

This manuscript has not been submitted to any journal for publication, nor is it under review at another journal or other publishing venue.

Author information

Authors and Affiliations

Authors

Contributions

The paper is written by the four authors named on the title page. Hence, Edmund Ntom Udemba conceived the idea and wrote the abstract with discussion and conclusion, Firat Emir wrote the methodology and estimation, Nazakat-Ullah Khan wrote the introduction, and Sadam Hussain wrote the literature review.

Corresponding author

Correspondence to Edmund Ntom Udemba.

Ethics declarations

Ethics approval and consent to participate

We, the authors, are giving our ethical approval and consent for this paper to be published in your journal if found publishable.

Consent to participate

We, the authors, are giving our consent for participation in this paper to be published in your journal if found publishable.

Consent for publication

We, the authors, are giving our consent for this paper to be published in your journal if found publishable.

Competing interests

The authors declare no competing interests.

Additional information

Responsible editor: Ilhan Ozturk

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Highlights of China’s carbon mitigation and sustainable development goals (SDGs)

1. This is a China sustainable development study

2. Assessed with dual analysis of symmetric and asymmetric

3. Target is on impact of technology, financial and renewable energy policy

4. China can mitigate CO2 with renewables, financial and technological innovation

5. Policy is advised to be framed on renewable, financial and innovation

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Udemba, E.N., Emir, F., Khan, NU. et al. Policy inference from technological innovation, renewable energy, and financial development for sustainable development goals (SDGs): insight from asymmetric and bootstrap Granger causality approaches. Environ Sci Pollut Res 29, 59104–59117 (2022). https://doi.org/10.1007/s11356-022-19730-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-022-19730-w

Keywords

Navigation