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Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–2018)

Author

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  • Tianqi Rong

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural sustainable Development, Henan University, Kaifeng 475004, China)

  • Pengyan Zhang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural sustainable Development, Henan University, Kaifeng 475004, China
    Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475001, China)

  • Wenlong Jing

    (Guangzhou Institute of Geography, Guangzhou 510070, China
    Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou 510070, China
    Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, China)

  • Yu Zhang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural sustainable Development, Henan University, Kaifeng 475004, China)

  • Yanyan Li

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural sustainable Development, Henan University, Kaifeng 475004, China)

  • Dan Yang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural sustainable Development, Henan University, Kaifeng 475004, China)

  • Jiaxin Yang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural sustainable Development, Henan University, Kaifeng 475004, China)

  • Hao Chang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural sustainable Development, Henan University, Kaifeng 475004, China)

  • Linna Ge

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural sustainable Development, Henan University, Kaifeng 475004, China)

Abstract

Land use change is the second largest source of greenhouse gas emissions after fossil combustion, which can hurt ecological environment severely. Intensive study on land use carbon emissions is of great significance to alleviate environmental pressure, formulate carbon emission reduction policy, and protect ecological development. The lower Yellow River area is an important area of economic development, grain cultivation, and agricultural production in China. Land use change has significant economic, environmental, and ecological impacts in this region. Deep study of land used carbon emissions and its influencing factors in the lower Yellow River area is not only of great significance to the environmental improvement in the Yellow River basin, but also can provide references for the research of other basins. Based on this, this paper studies the land use carbon emissions of 20 cities in the lower Yellow River area from 1995 to 2018. The results showed that from 1995 to 2018, the land use change was characterized by the decrease of the ecological land and the increase of the built-up land significantly. The overall carbon emission of the lower Yellow River area is increasing, and the built-up land is the main factor that leads to the increase of carbon emission, which can be also proven by the analysis of the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The economic contributive coefficient (ECC) and ecological support coefficient (ESC) of carbon emission in the lower Yellow River area show a trend of high in Zhengzhou, Jinan, and Zibo and low in Zhoukou, Shangqiu, and Heze, and there was no significant changes during the study period, which indicates that each city did not achieve the coordinated development of the ecological economy. Finally, analysis results of the STIRPAT model indicated that the area of built-up land had the greatest impact on land use carbon emissions, followed by tertiary industry, whereas per capita gross domestic product (GDP) had the smallest impact. For every 1% increase in the area of built-up land, carbon emissions increased by 1.024%. By contrast, for every 1% increase in the contribution of tertiary industry to the GDP and per capita GDP, carbon emissions decreased by 0.051% and 0.034%, respectively. According to the study, there are still many problems in the coordinated development of economy and ecology in the lower Yellow River area. The lower Yellow River area should control the expansion of built-up land, afforestation, development of technology, reduction of carbon emissions, and promotion of the high-quality development of the Yellow River Basin.

Suggested Citation

  • Tianqi Rong & Pengyan Zhang & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Jiaxin Yang & Hao Chang & Linna Ge, 2020. "Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–20," Energies, MDPI, vol. 13(10), pages 1-18, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2600-:d:360705
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    References listed on IDEAS

    as
    1. Yangyang Chen & Cong Chen & Hao Wen & Jian-min Jiang & Qiong Zeng & Hongping Shu & Zhong Hong, 2019. "From Use Case to Use Case Slices: An Automated Approach," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 10(4), pages 24-50, October.
    2. Greening, Lorna A. & Ting, Michael & Krackler, Thomas J., 2001. "Effects of changes in residential end-uses and behavior on aggregate carbon intensity: comparison of 10 OECD countries for the period 1970 through 1993," Energy Economics, Elsevier, vol. 23(2), pages 153-178, March.
    3. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    4. Tan, Zhongfu & Li, Li & Wang, Jianjun & Wang, Jianhui, 2011. "Examining the driving forces for improving China’s CO2 emission intensity using the decomposing method," Applied Energy, Elsevier, vol. 88(12), pages 4496-4504.
    5. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    6. Schipper, Lee & Murtishaw, Scott & Khrushch, Marta & Ting, Michael & Karbuz, Sohbet & Unander, Fridtjof, 2001. "Carbon emissions from manufacturing energy use in 13 IEA countries: long-term trends through 1995," Energy Policy, Elsevier, vol. 29(9), pages 667-688, July.
    7. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
    8. Wang, Heming & Wang, Guoqiang & Qi, Jianchuan & Schandl, Heinz & Li, Yumeng & Feng, Cuiyang & Yang, Xuechun & Wang, Yao & Wang, Xinzhe & Liang, Sai, 2020. "Scarcity-weighted fossil fuel footprint of China at the provincial level," Applied Energy, Elsevier, vol. 258(C).
    9. Stern, David I. & Jotzo, Frank, 2010. "How ambitious are China and India's emissions intensity targets?," Energy Policy, Elsevier, vol. 38(11), pages 6776-6783, November.
    10. Shi, Anqing, 2003. "The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data," Ecological Economics, Elsevier, vol. 44(1), pages 29-42, February.
    11. Mahendra Kumar Singh & Deep Mukherjee, 2019. "Drivers of greenhouse gas emissions in the United States: revisiting STIRPAT model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(6), pages 3015-3031, December.
    12. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
    13. Li Gao & Xin Wen & Yuntong Guo & Tianming Gao & Yi Wang & Lei Shen, 2014. "Spatiotemporal Variability of Carbon Flux from Different Land Use and Land Cover Changes: A Case Study in Hubei Province, China," Energies, MDPI, vol. 7(4), pages 1-19, April.
    14. R. A. Houghton, 2002. "Magnitude, distribution and causes of terrestrial carbon sinks and some implications for policy," Climate Policy, Taylor & Francis Journals, vol. 2(1), pages 71-88, March.
    15. Zhigang Li & Jialong Zhong & Zishu Sun & Wunian Yang, 2017. "Spatial Pattern of Carbon Sequestration and Urban Sustainability: Analysis of Land-Use and Carbon Emission in Guang’an, China," Sustainability, MDPI, vol. 9(11), pages 1-24, October.
    16. Yunfeng Cen & Pengyan Zhang & Yuhang Yan & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Xin Liu & Wenliang Geng & Tianqi Rong, 2019. "Spatial and Temporal Agglomeration Characteristics and Coupling Relationship of Urban Built-Up Land and Economic Hinterland—A Case Study of the Lower Yellow River, China," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    17. Pengyan Zhang & Jianjian He & Xin Hong & Wei Zhang & Chengzhe Qin & Bo Pang & Yanyan Li & Yu Liu, 2017. "Regional-Level Carbon Emissions Modelling and Scenario Analysis: A STIRPAT Case Study in Henan Province, China," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    18. Xiangzheng Deng & Jianzhi Han & Fang Yin, 2012. "Net Energy, CO 2 Emission and Land-Based Cost-Benefit Analyses of Jatropha Biodiesel: A Case Study of the Panzhihua Region of Sichuan Province in China," Energies, MDPI, vol. 5(7), pages 1-15, June.
    19. Jun Yang & Weiling Liu & Yonghua Li & Xueming Li & Quansheng Ge, 2018. "Simulating Intraurban Land Use Dynamics under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian," Complexity, Hindawi, vol. 2018, pages 1-17, August.
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