IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i7p714-d589642.html
   My bibliography  Save this article

Net Carbon Sequestration Performance of Cropland Use in China’s Principal Grain-Producing Area: An Evaluation and Spatiotemporal Divergence

Author

Listed:
  • Haoyue Wu

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China
    Faculty of Agriculture and Forestry, University of Helsinki, 00014 Helsinki, Finland)

  • Jin Tang

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Hanjiao Huang

    (College of Forestry, Northwest A&F University, Xianyang 712100, China)

  • Wenkuan Chen

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Yue Meng

    (College of Business and Tourism, Sichuan Agricultural University, Dujiangyan 611830, China)

Abstract

As cropland possess dual carbon effects of emitting and sequestering, giving full attention to its net carbon sequestration is an effective option for mitigating global warming. By analyzing the carbon cycle of a cropland use system, we develop an inventory for measuring the net carbon sequestration, covering four carbon sources, i.e., agricultural materials, rice fields, soils, straw burning, with the crop carbon sequestration considered. Different from conventional studies that have focused on quantity, in this study, we define net carbon sequestration performance of cropland use (NCSPC) as the ratio of actual net carbon sequestration to an optimal value per unit of cropland. We estimate the net carbon sequestration of cropland use, from 2000 to 2019, for the study area consisting of the 13 principal grain-producing provinces in China. Then, global-SBM is applied to measure the provincial NCSPC; furthermore, the Theil index and convergence test are employed to portray the spatiotemporal characteristics and regional divergence. The results show the following: (1) The net carbon sequestration was 3.837 t per hectare of cropland in the principal grain-producing area, of which the sequestration and the emission were 6.343 t and 2.506 t, respectively. The share of emissions, from largest to smallest, was methane from rice paddies, agricultural materials, straw burning, and soil nitrous oxide. Specifically, cropland use in Henan exhibited the strongest net carbon sequestration, whereas in Hunan it was the lowest. (2) The average NCSPC was 0.774 in the principal grain-producing area, indicating that 22.6% of the net carbon sequestration per unit of cropland remained to be explored under the corresponding production technology and input combinations. Temporally, the NCSPC had an annual change rate of −0.30%, displaying a slowly declining trend. Spatially, the NCSPC evolved from a scattered distribution to blocky agglomeration, eventually presenting a decreasing pattern from north to south. (3) First, the total Theil index increased, and then decreased, indicating that the regional disparity of the NCSPC expanded early but shrank later. From 2011 to 2019, inter-regional disparity took up more in the total. Over time, both the whole region and the subregions obeyed the σ convergence. Unlike the benign trends observed in Zones I and II, the NCSPC values of Zone III converged to a low level. This study aims to provide a theoretical base for emission mitigation and sequestration promotion for cropland use.

Suggested Citation

  • Haoyue Wu & Jin Tang & Hanjiao Huang & Wenkuan Chen & Yue Meng, 2021. "Net Carbon Sequestration Performance of Cropland Use in China’s Principal Grain-Producing Area: An Evaluation and Spatiotemporal Divergence," Land, MDPI, vol. 10(7), pages 1-19, July.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:7:p:714-:d:589642
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/7/714/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/7/714/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haoyue Wu & Hanjiao Huang & Jin Tang & Wenkuan Chen & Yanqiu He, 2019. "Net Greenhouse Gas Emissions from Agriculture in China: Estimation, Spatial Correlation and Convergence," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    2. Pushpam Kumar & Uwe A. Schneider, 2008. "Greenhouse gas emission mitigation through agriculture," Working Papers FNU-155, Research unit Sustainability and Global Change, Hamburg University, revised Feb 2008.
    3. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    4. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
    5. Hualin Xie & Yanwei Zhang & Yongrok Choi, 2018. "Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution," Sustainability, MDPI, vol. 10(6), pages 1-32, June.
    6. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    7. Khadiza Begum & Matthias Kuhnert & Jagadeesh Yeluripati & Stephen Ogle & William Parton & Md Abdul Kader & Pete Smith, 2018. "Model Based Regional Estimates of Soil Organic Carbon Sequestration and Greenhouse Gas Mitigation Potentials from Rice Croplands in Bangladesh," Land, MDPI, vol. 7(3), pages 1-18, July.
    8. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    9. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    10. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    11. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    12. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    13. Schneider, Uwe A. & Kumar, Pushpam, 2008. "Greenhouse Gas Mitigation through Agriculture," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 23(1), pages 1-5.
    14. Uwe A. Schneider & Pete Smith, 2008. "Greenhouse Gas Emission Mitigation and Emission Intensities in Agriculture," Working Papers FNU-164, Research unit Sustainability and Global Change, Hamburg University, revised Jul 2008.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jingyi Guo & Ling Wang, 2024. "Spatiotemporal Variations in Gross Ecosystem Product and Its Relationship with Economic Growth in Ecologically Vulnerable Watershed Areas: A Case Study of Yongding River Basin," Sustainability, MDPI, vol. 16(21), pages 1-20, October.
    2. Bin Duan & Xuanming Ji, 2021. "Can Carbon Finance Optimize Land Use Efficiency? The Example of China’s Carbon Emissions Trading Policy," Land, MDPI, vol. 10(9), pages 1-18, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luo Muchen & Rosita Hamdan & Rossazana Ab-Rahim, 2022. "Data-Driven Evaluation and Optimization of Agricultural Environmental Efficiency with Carbon Emission Constraints," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    2. Haoyue Wu & Wanqi Yan & Xiangjiang Zheng & Lei Zhou & Jinshan Ma & Lu Liu & Yue Meng, 2023. "Carbon-Emission Density of Crop Production in China: Spatiotemporal Characteristics, Regional Disparities, and Convergence," Agriculture, MDPI, vol. 13(5), pages 1-17, April.
    3. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    4. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    5. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    6. Kerstin Jantke & Martina J. Hartmann & Livia Rasche & Benjamin Blanz & Uwe A. Schneider, 2020. "Agricultural Greenhouse Gas Emissions: Knowledge and Positions of German Farmers," Land, MDPI, vol. 9(5), pages 1-13, April.
    7. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    8. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    9. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis," Energy Policy, Elsevier, vol. 134(C).
    10. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    11. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    12. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    13. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    14. Hari Wahyu Wijayanto & Kai-An Lo & Hery Toiba & Moh Shadiqur Rahman, 2022. "Does Agroforestry Adoption Affect Subjective Well-Being? Empirical Evidence from Smallholder Farmers in East Java, Indonesia," Sustainability, MDPI, vol. 14(16), pages 1-10, August.
    15. Zhen, Wei & Qin, Quande & Wei, Yi-Ming, 2017. "Spatio-temporal patterns of energy consumption-related GHG emissions in China's crop production systems," Energy Policy, Elsevier, vol. 104(C), pages 274-284.
    16. Huarui Gong & Jing Li & Zhen Liu & Yitao Zhang & Ruixing Hou & Zhu Ouyang, 2022. "Mitigated Greenhouse Gas Emissions in Cropping Systems by Organic Fertilizer and Tillage Management," Land, MDPI, vol. 11(7), pages 1-18, July.
    17. Oliver Lazarus & Sonali McDermid & Jennifer Jacquet, 2021. "The climate responsibilities of industrial meat and dairy producers," Climatic Change, Springer, vol. 165(1), pages 1-21, March.
    18. David Bryngelsson & Fredrik Hedenus & Daniel J. A. Johansson & Christian Azar & Stefan Wirsenius, 2017. "How Do Dietary Choices Influence the Energy-System Cost of Stabilizing the Climate?," Energies, MDPI, vol. 10(2), pages 1-13, February.
    19. Soy-Massoni, Emma & Langemeyer, Johannes & Varga, Diego & Sáez, Marc & Pintó, Josep, 2016. "The importance of ecosystem services in coastal agricultural landscapes: Case study from the Costa Brava, Catalonia," Ecosystem Services, Elsevier, vol. 17(C), pages 43-52.
    20. Telmo José Mendes & Diego Silva Siqueira & Eduardo Barretto Figueiredo & Ricardo de Oliveira Bordonal & Mara Regina Moitinho & José Marques Júnior & Newton La Scala Jr., 2021. "Soil carbon stock estimations: methods and a case study of the Maranhão State, Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16410-16427, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:7:p:714-:d:589642. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.