Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Impact of Urbanization and Expansion of Forest Investment to Mitigate CO2 Emissions in China

Bibliographic Data

ID22331663
AuthorsSaima Sarwar (0000-0002-4791-0293, University of Jeddah), Samuel Asumadu Sarkodie (0000-0001-5035-5983, Nord University)
Year2022
Volume14
Issue3
Pages681-696
Publication date2022-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueWeather, Climate, and Society (JOURNAL)
Journal identifiersISSN: 1948-8327 • E-ISSN: 1948-8335
PublisherAmerican Meteorological Society (PUBLISHER • US)
DOI10.1175/wcas-d-21-0101.1
OpenAlexW4221039255
LanguageEN
Citations received3
References cited16

Forests are considered the key factor in controlling climate change and extreme climatic events due to their natural role in carbon abatement. However, twenty-first-century economic development is characterized by intensive resource exploitation, energy intensity, population, and urbanization, and hence it is affecting the natural forest habitat. The persistent deforestation and land degradation with limited sustainable forest management and its related services have long-term effects on environmental sustainability. Here, we investigate the impact of forest and its related services on the past decade of China’s carbon emissions while accounting for economic development, urbanization, and fossil fuels. We use several spatial techniques to ascertain the carbon abatement effect of the forestry-driven economy in halting the ecological degradation process. We report that carbon emissions decline across 30 provinces in China through the expansion of forest investment and forest management activities—instead of increasing the forest land without continuous proper management. Besides, the spatial analysis confirms that forest investments and proper management contribute to reducing carbon levels in neighboring provinces. From a policy point of view, it is more than an urgent need for the Chinese government to conduct forest management reforms, and such policies might be helpful to generate new sources of employment and pollution reduction in China

Agroforestry · Business · Climate change · Ecoforestry · Economic growth · Economics · Environmental protection · Forest ecology · Forest management · Forest restoration · Geography · Greenhouse gas · Land use · Natural resource economics · Urbanization · Economic and Environmental Valuation · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Environmental Science · Ecology

  • Can Digital Economy Development Contribute to the Low-Carbon Transition? Evidence from the City Level in China

    Open Access•Bei Liu, Yukun Li et al.•International Journal of…•2023

  • Weather, Climate, and Society

    Open Access•Prakoso Bhairawa Putera, Ieke Sartika Iriany et al.•Weather, Climate, and Society•2024

  • The impact of urban digital economy on urban innovation

    Bo Chen, Huasheng Zhu et al.•Asian Geographer•2025

  • Spatial Econometrics

    Open Access•J Paul Elhorst•Spatial Econometrics•2014

  • Handbook of Applied Spatial Analysis

    Open Access•Manfréd M Fischer, Arthur Getis•Handbook of Applied Spatial…•2010

  • Changing urban forms and carbon dioxide emissions in China

    Open Access•Chuanglin Fang, Shaojian Wang et al.•Applied Energy•2015

  • How renewable energy consumption contribute to environmental quality? The role of education in OECD countries

    Open Access•Muhammad Wasif Zafar, Muhammad Shahbaz et al.•Journal of Cleaner Production•2020

  • Spatial Panel Data Models

    Open Access•J Paul Elhorst•2010

  • Environmental Kuznets curve for CO2 emissions in China

    Open Access•Yanqing Kang, Yan-Qing Kang et al.•Ecological Indicators•2016

  • Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries

    Open Access•Rubayyat Hashmi, Khorshed Alam•Journal of Cleaner Production•2019

  • Effect of economic growth on CO 2 emission in developing countries

    Open Access•Goodness C Aye, Prosper Ebruvwiyo Edoja et al.•Cogent Economics & Finance•2017

  • Forest, agriculture, renewable energy, and CO2 emission

    Open Access•Rida Waheed, Dongfeng Chang et al.•Journal of Cleaner Production•2018

  • A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model

    Open Access•Badi H Baltagi, Qu Feng et al.•Journal of Econometrics•2012

  • Some recent developments in spatial panel data models

    Open Access•Lung‐fei Lee, Lung-fei Lee et al.•Regional Science and Urban…•2010

  • Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large

    Open Access•Jihai Yu, Robert De Jong et al.•Journal of Econometrics•2008

  • CO2 emissions, energy consumption and economic growth in BRIC countries

    Open Access•Hsiao-Tien Pao, Chung-Ming Tsai•Energy Policy•2010

  • General Diagnostic Tests for Cross Section Dependence in Panels

    Open Access•M Hashem Pesaran•SSRN Electronic Journal•2004

  • The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics

    Trevor Breusch, T S Breusch et al.•The Review of Economic Studies•1980

  • Long-run dynamics of renewable energy consumption on carbon emissions and economic growth in the European union

    Jung Wan Lee•International Journal of…•2019

Unique citing works3
Citations per year1
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae