IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i1d10.1007_s13198-021-01421-3.html
   My bibliography  Save this article

Green economy based perspective of low-carbon agriculture growth for total factor energy efficiency improvement

Author

Listed:
  • Huijun Ji

    (Jin Zhong Vocational & Technical College)

  • Arber Hoti

    (University of Prishtina)

Abstract

The low-carbon agriculture strategy equipped with green economy is developed to encourage the substantial growth of green assets of the natural resources. In order to achieve growth in agricultural energy efficiency, this paper mainly uses the directional distance function and the ML index to analyze the agricultural total factor energy efficiency in the 11 provinces and cities of the Yangtze River Economic Belt from both dynamic and static aspects, and uses the fixed-effect panel model method. The main influencing factors are regression analysis of panel data. The results of the study show that for every 1% increase in crop damage, the agricultural energy efficiency will drop by 0.452%; the literacy level of the labor force at the level of 5% significantly affects agricultural energy efficiency. This work contributes in improving the smart city planning along with the reduction in the degree of damage to crops due to the negative impact of industrial structure and the level of mechanization. This work enables the futuristic technologies by promoting the level of urbanization, labor education and the government’s financial support for agriculture.

Suggested Citation

  • Huijun Ji & Arber Hoti, 2022. "Green economy based perspective of low-carbon agriculture growth for total factor energy efficiency improvement," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 353-363, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01421-3
    DOI: 10.1007/s13198-021-01421-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01421-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01421-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bernard Fingleton & Julie Gallo & Alain Pirotte, 2018. "A multidimensional spatial lag panel data model with spatial moving average nested random effects errors," Empirical Economics, Springer, vol. 55(1), pages 113-146, August.
    2. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    3. Du, Juan & Chen, Yao & Huang, Ying, 2018. "A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China," European Journal of Operational Research, Elsevier, vol. 269(1), pages 171-187.
    4. Lee, Yoonseok & Mukherjee, Debasri & Ullah, Aman, 2019. "Nonparametric estimation of the marginal effect in fixed-effect panel data models," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 53-67.
    5. Jesus T. Pastor & Juan Aparicio & Javier Alcaraz & Fernando Vidal & Diego Pastor, 2018. "Bounded directional distance function models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 985-1004, December.
    6. Hans Jensen & Ignacio Pérez Domínguez & Thomas Fellmann & Paul Lirette & Jordan Hristov & George Philippidis, 2019. "Economic Impacts of a Low Carbon Economy on Global Agriculture: The Bumpy Road to Paris," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    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. Jingpeng Chen & Desheng Zhang & Zhi Chen & Zhijian Li & Zigong Cai, 2022. "Effect of Agricultural Social Services on Green Production of Natural Rubber: Evidence from Hainan, China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    2. Zhang, Ming & Du, Panpan & Jiang, Lixia, 2023. "Impact of endogenous power factors and price marketization on agricultural energy efficiency: Based on the use of coal and oil energy in China," Resources Policy, Elsevier, vol. 83(C).
    3. Chunbin Zhang & Rong Zhou & Jundong Hou & Mengtong Feng, 2022. "Spatial-Temporal Evolution and Convergence Characteristics of Agricultural Eco-Efficiency in China from a Low-Carbon Perspective," Sustainability, MDPI, vol. 14(24), pages 1-24, December.

    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. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    2. van den Berg, Gerard J. & Lundborg, Petter & Nystedt, Paul & Rooth, Dan-Olof, 2009. "Critical Periods During Childhood and Adolescence: A Study of Adult Height Among Immigrant Siblings," IZA Discussion Papers 4140, Institute of Labor Economics (IZA).
    3. Pastor, Jesus T. & Lovell, C.A. Knox & Aparicio, Juan, 2020. "Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 281(1), pages 222-230.
    4. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    5. Hong, Han & Ju, Gaosheng & Li, Qi & Yan, Karen X., 2024. "Varying-coefficient spatial dynamic panel data models with fixed effects: Theory and application," Journal of Econometrics, Elsevier, vol. 245(1).
    6. Laborde, David & Mamun, Abdullah & Martin, Will & Pineiro, Valeria & Vos, Rob, 2020. "Modeling the Impacts of Agricultural Support Policies on Emissions from Agriculture," Conference papers 333141, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Tavana, Madjid & Izadikhah, Mohammad & Toloo, Mehdi & Roostaee, Razieh, 2021. "A new non-radial directional distance model for data envelopment analysis problems with negative and flexible measures," Omega, Elsevier, vol. 102(C).
    8. Yoonseok Lee & Donggyu Sul, 2022. "Trimmed Mean Group Estimation," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 177-202, Emerald Group Publishing Limited.
    9. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    10. Yaqiong Wang & Guanghui Yuan & Ying Yan & Xueliang Zhang, 2020. "Evaluation of Sustainable Urban Development under Environmental Constraints: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    11. Romano, Giulia & Molinos-Senante, María & Carosi, Laura & Llanquileo-Melgarejo, Paula & Sala-Garrido, Ramón & Mocholi-Arce, Manuel, 2021. "Assessing the dynamic eco-efficiency of Italian municipalities by accounting for the ownership of the entrusted waste utilities," Utilities Policy, Elsevier, vol. 73(C).
    12. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
    13. Le Gallo, Julie & Ndiaye, Youba, 2021. "Environmental expenditure interactions among OECD countries, 1995–2017," Economic Modelling, Elsevier, vol. 94(C), pages 244-255.
    14. Bingbing Huang & Hui Kong & Jinhong Yu & Xiaoyou Zhang, 2022. "A Study on the Impact of Low-Carbon Technology Application in Agriculture on the Returns of Large-Scale Farmers," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    15. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas, 2021. "Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition," Applied Energy, Elsevier, vol. 283(C).
    16. Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2023. "Eco-efficiency assessment of Malaysian rice self-sufficiency approach," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    17. Khoshroo, Alireza & Izadikhah, Mohammad & Emrouznejad, Ali, 2022. "Total factor energy productivity considering undesirable pollutant outputs: A new double frontier based malmquist productivity index," Energy, Elsevier, vol. 258(C).
    18. De Monte Enrico, 2024. "Nonparametric Instrumental Regression with Two-Way Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 49-66, January.
    19. Igor Krejčí & Pavel Moulis & Jana Pitrová & Ivana Tichá & Ladislav Pilař & Jan Rydval, 2019. "Traps and Opportunities of Czech Small-Scale Beef Cattle Farming," Sustainability, MDPI, vol. 11(15), pages 1-26, August.
    20. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.

    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:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01421-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.