KaydedilenlerDerginizi ekleyin

Dergiler / Atmospheric Pollution Research / 2018 / Cilt: 9 - Sayı: 3

Quantifying the effects of air pollution control policies: A case of Shanxi province in China

Weixian WEİ
Peng Lİ
Huiqing WANG
Malin SONG
Sayfa
429–438
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Additionally, significant synergisticeffects of CO2 and PM2.5 emission reduction and energy rebound effect are found as well.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:With a rapid growth rate of economic development in China, air pollution has attained to an extremely highlevel.
📊
Temel Bulgular & Veri:With this regard, a dynamiccomputable general equilibrium (CGE) model is constructed to evaluate the effects of air pollution control toolsincluding SO2 taxation, clean technical progress (CTP) and energy efficient (EE) improvement, etc. and theirsocioeconomic impacts on Shanxi province.
💡
Sonuç & Katkı:Additionally, significant synergisticeffects of CO2 and PM2.5 emission reduction and energy rebound effect are found as well.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

With a rapid growth rate of economic development in China, air pollution has attained to an extremely highlevel. Consequently, air pollution has become a pressing challenge facing Chinese authorities. To control airpollution, a variety of economic instruments (such as Pigou tax and Coase means) as well as command andcontrol means (such as environmental regulation, etc.) have been adopted. As one of China's important energyresources bases, Shanxi Province is also one of the most polluted regions. Therefore, the adapted air pollutioncontrol policies and its influence in Shanxi Province is representative for China. With this regard, a dynamiccomputable general equilibrium (CGE) model is constructed to evaluate the effects of air pollution control toolsincluding SO2 taxation, clean technical progress (CTP) and energy efficient (EE) improvement, etc. and theirsocioeconomic impacts on Shanxi province. The results indicate that, in a variety of scenarios, SO2 taxationcombining with technical progress can effectively control air pollution, improve energy consumption structure,and do not exert remarkable negative impact on economic performance. Additionally, significant synergisticeffects of CO2 and PM2.5 emission reduction and energy rebound effect are found as well.

🔖

Bu Makaleye Atıf Yap

WEİ, W., Lİ, P., WANG, H., SONG, M. (2018). Quantifying the effects of air pollution control policies: A case of Shanxi province in China. Atmospheric Pollution Research, Cilt: 9 - Sayı: 3, 429–438. https://ajindex.com/articles/351475

Kaynakça (12)

  1. Aydin, G., Jang, H., Topal, E., 2016. Energy consumption modeling using artificial neural networks: the case of the world's highest consumers. Energy Sources, Part B Econ. Plan. Policy 11, 212–219.
  2. Bergman, L., 2005. CGE modeling of environmental policy and resource management. Handb. Environ. Econ. 3, 1273–1306. Brännlund, R., Ghalwash, T., Nordström, J., 2007. Increased energy efficiency and the rebound effect: effects on consumption and emissions. Energ Econ. 29, 1–17.
  3. Burke, P.J., Liao, H., 2015. Is the price elasticity of demand for coal in China increasing? China Econ. Rev. 36, 309–322.
  4. Calderon, S., Alvarez, A.C., Loboguerrero, A.M., Arango, S., Calvin, K., Kober, T., Daenzer, K., Fisher-Vanden, K., 2016. Achieving CO2 reductions in Colombia: effects of carbon taxes and abatement targets. Energ Econ. 56, 575–586. Decaluwé, B., Lemelin, A., Robichaud, V., Maisonnave, H., 2010. PEP-1-t. Standard PEP Model: Single-country, Recursive Dynamic Version. Politique Économique et Pauvreté/Poverty and Economic Policy Network, Université Laval, Québec. Eichner, T., Pethig, R., 2009. Efficient CO2 emissions control with emissions taxes and international emissions trading. Eur. Econ. Rev. 53, 625–635.
  5. Eisenack, K., Edenhofer, O., Kalkuhl, M., 2012. Resource rents: the effects of energy taxes and quantity instruments for climate protection. Energ Policy 48, 159–166.
  6. Feng, Y., Zhang, L., 2012. Scenario analysis of urban energy saving and carbon abatement policies: a case study of Beijing city, China. Proced Environ. Sci. 13, 632–644.
  7. Filippini, M., Heimsch, F., 2016. The regional impact of a CO2 tax on gasoline demand: a spatial econometric approach. Resour. Energy Econ. 46, 85–100.
  8. Fischer, C., Springborn, M., 2011. Emissions targets and the real business cycle: intensity targets versus caps or taxes. J. Environ. Econ. Manag. 62, 352–366.
  9. Garcia-Gusano, D., Cabal, H., Lechon, Y., 2015. Evolution of NO (x) and SO2 emissions in Spain: ceilings versus taxes. Clean. Technol. Environ. 17, 1997–2011.
  10. Gerlagh, R., Van der Zwaan, B., Hofkes, M.W., Klaassen, G., 2004. Impacts of CO2-taxes in an economy with niche markets and learning-by-doing. Environ. Resour. Econ. 28, 367–394.
  11. Greening, L.A., Greene, D.L., Difiglio, C., 2000. Energy efficiency and consumption—the rebound effect—a survey. Energ Policy 28, 389–401.
  12. Gunasekaran, A., Jabbour, C.J.C., Jabbour, A.B.L.d.S., 2014. Managing organizations for sustainable development in emerging countries: an introduction. Int. J.