IDEAS home Printed from https://ideas.repec.org/a/rjr/romjef/vy2018i2p5-21.html
   My bibliography  Save this article

Measuring Efficiency of Ocean Economy in China Based on a Novel Luenberger Approach

Author

Listed:
  • ZHAO Xin

    (School of Economics, Ocean University of China, Qingdao, China; Marine Development Studies Institute of OUC, Key Research Institute of Humanities and Soci al Sciences at Universities, Ministry of Education, Beijing, China.)

  • XUE Yue-mei

    (School of Economics, Ocean University of China, Qingdao, China.)

  • KANG Wang-lin

    (School of Management and Economics, Shandong University of Science and Technology, Qingdao, China.)

  • DING Li-li

    (School of Economics, Ocean University of China, Qingdao, China; Marine Development Studies Institute of OUC, Key Research Institute of Humanities and Soci al Sciences at Universities, Ministry of Education, Beijing, China)

  • ZHU Lin

    (School of Management and Economics, Beijing Institute of Technology, Beijing, China.)

Abstract

This paper proposes a novel Luenberger approach based on directive SBM method and Luenberger indicator to solve the intertemporal effect of dynamic factors. The new Luenberger indicator can be decomposed into dynamic pure efficiency change index, dynamic scale efficiency change index, technology progress index and dynamic effect index. The empirical application focuses on the growth performances of ocean economy in 11 coastal areas of China. The conclusions are as follows. First, the intertemporal effect of capital factor shows that the technical frontier is on the rise and the total factor productivity level is improved. The technical progress is the driving force of Chinese ocean economy growth performance. Second, the labor force, dynamic capital output and desirable output have positive relationships with the efficiency of ocean economy considering the environmental problem. However, the dynamic capital input, resource consumption and environmental pollution have negative effects, respectively.

Suggested Citation

  • ZHAO Xin & XUE Yue-mei & KANG Wang-lin & DING Li-li & ZHU Lin, 2018. "Measuring Efficiency of Ocean Economy in China Based on a Novel Luenberger Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 5-21, June.
    • Handle: RePEc:rjr:romjef:v::y:2018:i:2:p:5-21
    as

    Download full text from publisher

    File URL: http://www.ipe.ro/rjef/rjef2_18/rjef2_2018p5-21.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lili DING & Haihong ZHENG & Wanglin KANG, 2017. "Measuring the Green Efficiency of Ocean Economy in China: An Improved Three - Stage DEA Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-22, March.
    2. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    3. Carlos Pestana Barros & Nicolas Peypoch, 2007. "Comparing Productivity Change in Italian and Portuguese Seaports using the Luenberger Indicator Approach," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(2), pages 138-147, June.
    4. Epure, Mircea & Kerstens, Kristiaan & Prior, Diego, 2011. "Bank productivity and performance groups: A decomposition approach based upon the Luenberger productivity indicator," European Journal of Operational Research, Elsevier, vol. 211(3), pages 630-641, June.
    5. Jiro Nemoto & Mika Goto, 2003. "Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 191-210, April.
    6. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    7. Shunsuke Managi & Shinji Kaneko, 2004. "Environmental Productivity in China," Economics Bulletin, AccessEcon, vol. 17(2), pages 1-10.
    8. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    9. repec:ebl:ecbull:v:17:y:2004:i:2:p:1-10 is not listed on IDEAS
    10. Douvere, Fanny, 2008. "The importance of marine spatial planning in advancing ecosystem-based sea use management," Marine Policy, Elsevier, vol. 32(5), pages 762-771, September.
    11. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    12. Fatemeh Boloori & Jafar Pourmahmoud, 2016. "A modified SBM-NDEA approach for the efficiency measurement in bank branches," Operational Research, Springer, vol. 16(2), pages 301-326, July.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    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. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    2. Fukuyama, Hirofumi & Tan, Yong, 2022. "Implementing strategic disposability for performance evaluation: Innovation, stability, profitability and corporate social responsibility in Chinese banking," European Journal of Operational Research, Elsevier, vol. 296(2), pages 652-668.
    3. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    4. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    5. 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.
    6. Kounetas, Konstantinos & Zervopoulos, Panagiotis D., 2019. "A cross-country evaluation of environmental performance: Is there a convergence-divergence pattern in technology gaps?," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1136-1148.
    7. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun & Managi, Shunsuke, 2015. "The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions," Omega, Elsevier, vol. 53(C), pages 30-40.
    8. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    9. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    10. Ying Li & Hongyi Cen & Tai‐Yu Lin & Yi‐Nuo Lin & Yung‐ho Chiu & Su‐wan Wang, 2023. "Assessment of the internet impact on road transportation industry operational efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 619-640, January.
    11. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Managi, Shunsuke, 2014. "Non-Radial Directional Performance Measurement with Undesirable Outputs," MPRA Paper 57189, University Library of Munich, Germany.
    12. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    13. Victor John M. Cantor & Kim Leng Poh, 2020. "Efficiency measurement for general network systems: a slacks-based measure model," Journal of Productivity Analysis, Springer, vol. 54(1), pages 43-57, August.
    14. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    15. Teng, Xiangyu & Zhuang, Weiwei & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "China's path of carbon neutralization to develop green energy and improve energy efficiency," Renewable Energy, Elsevier, vol. 206(C), pages 397-408.
    16. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    17. Manh D. Pham & Valentin Zelenyuk, 2018. "Slack-based directional distance function in the presence of bad outputs: theory and application to Vietnamese banking," Empirical Economics, Springer, vol. 54(1), pages 153-187, February.
    18. Teng, Xiangyu & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "Measuring China’s energy efficiency by considering forest carbon sequestration and applying a meta dynamic non-radial directional distance function," Energy, Elsevier, vol. 263(PC).
    19. Fukuyama, Hirofumi & Matousek, Roman, 2011. "Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 75-91, February.
    20. Yung‐ho Chiu & Kuei‐Ying Huang & Tai‐Yu Lin & Tzu‐Han Chang, 2022. "Government debt and fiscal execution efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 111-128, January.

    More about this item

    Keywords

    ocean economy; capital dynamic effect; green efficiency; Luenberger;
    All these keywords.

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

    Statistics

    Access and download statistics

    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:rjr:romjef:v::y:2018:i:2:p:5-21. 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: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/ipacaro.html .

    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.