Skip to main content

Does the National Forest City Policy Promote Haze Pollution Control?

  • Chapter
  • First Online:
  • 500 Accesses

Part of the book series: Urban Sustainability ((US))

Abstract

Air pollution is a significant issue with global impacts. The implementation of China’s national forest city policy may provide some valuable references for air pollution control. First of all, this chapter introduces the main content of China’s national forest city policy selection. Then, under the condition of considering the time lag effect, spatial lag effect, and space–time hysteresis, it uses the unique and comprehensive panel data of 276 cities in China from 2003 to 2016. In doing so, we use the difference in differences method (DID) and the dynamic SAR model to estimate the policy effects of the implementation of national forest cities on the control of haze pollution. We find that there is an apparent spatial spillover effect in China’s smog pollution. In addition, there is a strong positive correlation between the local smog pollution between the local areas and the surrounding areas in the same period. In this period, the higher the local smog pollution is, the higher the smog pollution in the next period of the local area is. In contrast, the next period of smog pollution in the surrounding is lower. The national forest city policy has improved the level of urban greening and can significantly reduce urban smog pollution. Whether in the long-term or short-term, if a city is selected as a forest city, it will substantially promote the smog pollution of the city and surrounding cities. However, the impact of the national forest city policy on smog pollution also shows cyclical fluctuations, like after each review by the central government, the effect of the national forest city policy to reduce haze pollution will be significantly improved.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Ahmad M, Chandio AA, Solangi YA, Shah S, Jabeen G (2020) Dynamic interactive links among sustainable energy investment, air pollution, and sustainable development in regional china. Environ Sci Pollut Res (6)

    Google Scholar 

  • Akaike H (1973) Maximum likelihood identification of Gaussian autoregressive moving average models. Biometrika 60(2):255–265

    Article  Google Scholar 

  • Anselin L (1988) Spatial econometrics: methods and models. Econ Geogr 65(2):160–162

    Google Scholar 

  • Bessou C, Ferchaud F, Gabrielle B, Mary B (2011) Biofuels, greenhouse gases and climate change: a review. Agron Sustain Dev 31(1):1–79

    Article  CAS  Google Scholar 

  • Chen X, Shao S, Tian Z, Xie Z, Yin P (2017) Impacts of air pollution and its spatial spillover effect on public health based on China’s big data sample. J Clean Prod 142:915–925

    Article  CAS  Google Scholar 

  • China Environmental Bulletin (2017) Bulletin of China’s Environmental Status over the Years. https://www.mee.gov.cn/hjzl/zghjzkgb/lnzghjzkgb/

  • Conti ME, Ciasullo R, Tudino MB, Matta EJ (2015) The industrial emissions trend and the problem of the implementation of the industrial emissions directive (ied). Air Qual Atmos Health 8(2):151–161

    Article  CAS  Google Scholar 

  • Diao XD, Zeng SX, Tam CM, Tam VW (2009) EKC analysis for studying economic growth and environmental quality: a case study in China. J Clean Prod 17(5):541–548

    Article  Google Scholar 

  • Du Y, Sun T, Peng J, Fang K, Liu Y, Yang Y, Wang Y (2018) Direct and spillover effects of urbanization on PM2.5 concentrations in China’s top three urban agglomerations. J Clean Prod 190:72–83

    Article  CAS  Google Scholar 

  • Hao Y, Liu YM (2016) The influential factors of urban PM2.5 concentrations in China: a spatial econometric analysis. J Clean Prod 112:1443–1453

    Article  CAS  Google Scholar 

  • Luo K, Li G, Fang C, Sun S (2018) PM 2.5 mitigation in China: Socioeconomic determinants of concentrations and differential control policies. J Environ Manage 213:47–55

    Article  Google Scholar 

  • Rosa EA, Dietz T (1998) Climate change and society: speculation, construction and scientific investigation. Int Sociol 13(4):421-455

    Google Scholar 

  • Rubin DB (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psychol 66(05):688-701

    Google Scholar 

  • Schwarz GE (1978) Estimating the dimension of a model, [J]. Ann Stat 6(2):461–464

    Article  Google Scholar 

  • Shao S, Li X, Cao J, Yang L (2016) China’s economic policy choices for governing smog pollution based on spatial spillover effects (in Chinese). Econ Res J 9:73–88

    Google Scholar 

  • Shao S, Yang L, Yu M, Yu M (2011) Estimation, characteristics, and determinants of energy-related industrial CO emissions in Shanghai (China), 1994–2009. Energy Policy 39(10):6476–6494

    Article  Google Scholar 

  • Wang KL, Ding LL, Wang JM, and Yang M (2020) Analysis of provincial total-factor air pollution efficiency in china by using context-dependent slacks-based measure considering undesirable outputs. Nat Hazards 104(9)

    Google Scholar 

  • Wang T, Peng J and Wu L (2021) Heterogeneous effects of environmental regulation on air pollution: evidence from china's prefecture-level cities. Environ Sci Pollut Res (1)

    Google Scholar 

  • Wang YS, Yao L, Liu ZR, J DS, W LL, Z JK (2013) Formation of haze pollution in Beijing-Tianjin-Hebei region and their control strategies (in Chinese). Bull Chin Acad Sci 28(3):353–363

    Google Scholar 

  • Wen WA, Hui CA, Li ZB (2012) Poverty assessment using dmsp/ols night-time light satellite imagery at a provincial scale in china. Adv Space Res 49(8):1253–1264

    Article  Google Scholar 

  • Xu B, Lin B (2016) Regional differences of pollution emissions in China: contributing factors and mitigation strategies. J Clean Prod 112:1454–1463

    Article  CAS  Google Scholar 

  • Xu C, Dong L, Yu C, Zhang Y and Cheng B (2020) Can forest city construction affect urban air quality? The evidence from the Beijing-Tianjin-Hebei urban agglomeration of china. J Clean Prod

    Google Scholar 

  • Yamineva Y, Liu Z (2019) Cleaning the air, protecting the climate: policy, legal and institutional nexus to reduce black carbon emissions in china. Environ Sci Policy 95:1–10

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chang Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Xu, C., Li, Y., Li, X., Cheng, B. (2022). Does the National Forest City Policy Promote Haze Pollution Control?. In: Cheshmehzangi, A. (eds) Green Infrastructure in Chinese Cities. Urban Sustainability. Springer, Singapore. https://doi.org/10.1007/978-981-16-9174-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-9174-4_6

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9173-7

  • Online ISBN: 978-981-16-9174-4

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics