IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v232y2012icp109-118.html
   My bibliography  Save this article

Measuring agricultural land-use intensity – A global analysis using a model-assisted approach

Author

Listed:
  • Dietrich, Jan Philipp
  • Schmitz, Christoph
  • Müller, Christoph
  • Fader, Marianela
  • Lotze-Campen, Hermann
  • Popp, Alexander

Abstract

Human activities such as research & development, infrastructure or management are of major importance for agricultural productivity. These activities can be summarized as agricultural land-use intensity. We present a measure, called the τ-factor, which is an alternative to current measures for agricultural land-use intensity. The τ-factor is the ratio between actual yield and a reference yield under well defined management and technology conditions. By taking this ratio, the physical component (soils, climate), which is equal in both terms, is removed. We analyze global patterns of agricultural land-use intensity for 10 world regions and 12 crops, employing reference yields as computed with a global crop growth model for the year 2000. We show that parts of Russia, Asia and especially Africa had low agricultural land-use intensities, whereas the Eastern US, Western Europe and parts of China had high agricultural land-use intensities in 2000. Our presented measure of land use intensity is a useful alternative to existing measures, since it is independent of socio-economic data and allows for quantitative analysis.

Suggested Citation

  • Dietrich, Jan Philipp & Schmitz, Christoph & Müller, Christoph & Fader, Marianela & Lotze-Campen, Hermann & Popp, Alexander, 2012. "Measuring agricultural land-use intensity – A global analysis using a model-assisted approach," Ecological Modelling, Elsevier, vol. 232(C), pages 109-118.
  • Handle: RePEc:eee:ecomod:v:232:y:2012:i:c:p:109-118
    DOI: 10.1016/j.ecolmodel.2012.03.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380012001093
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2012.03.002?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. von Braun, Joachim, 2007. "The world food situation: New driving forces and required actions," Food policy reports 18, International Food Policy Research Institute (IFPRI).
    2. Neumann, Kathleen & Verburg, Peter H. & Stehfest, Elke & Müller, Christoph, 2010. "The yield gap of global grain production: A spatial analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 316-326, June.
    3. Alston, Julian M. & Wyatt, T. J. & Pardey, Philip G. & Marra, Michele C. & Chan-Kang, Connie, 2000. "A meta-analysis of rates of return to agricultural R & D: ex pede Herculem?," Research reports 113, International Food Policy Research Institute (IFPRI).
    4. Pingali, Prabhu, 2007. "Westernization of Asian diets and the transformation of food systems: Implications for research and policy," Food Policy, Elsevier, vol. 32(3), pages 281-298, June.
    5. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    6. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    7. Channing Arndt & Thomas W. Hertel & Paul V. Preckel, 2003. "Bridging the Gap between Partial and Total Factor Productivity Measures Using Directional Distance Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 928-942.
    8. Runge, C. Ford & Senauer, Benjamin & Pardey, Philip G. & Rosegrant, Mark W. (ed.), 2003. "Ending hunger in our lifetime: Food security and globalization," IFPRI books, International Food Policy Research Institute (IFPRI), number 0-8018-7725-3.
    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. Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, Open Access Journal, vol. 6(6), pages 1-17, May.
    2. Wang, Xiaoxi & Dietrich, Jan P. & Lotze-Campen, Hermann & Biewald, Anne & Stevanović, Miodrag & Bodirsky, Benjamin L. & Brümmer, Bernhard & Popp, Alexander, 2020. "Beyond land-use intensity: Assessing future global crop productivity growth under different socioeconomic pathways," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    3. Christoph Müller & Richard D. Robertson, 2014. "Projecting future crop productivity for global economic modeling," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 37-50, January.
    4. You, Heyuan & Hu, Xiaowei & Wu, Yizhou, 2018. "Farmland use intensity changes in response to rural transition in Zhejiang province, China," Land Use Policy, Elsevier, vol. 79(C), pages 350-361.
    5. Ye, Sijing & Song, Changqing & Shen, Shi & Gao, Peichao & Cheng, Changxiu & Cheng, Feng & Wan, Changjun & Zhu, Dehai, 2020. "Spatial pattern of arable land-use intensity in China," Land Use Policy, Elsevier, vol. 99(C).
    6. Lal P. & Chandel B.S., 2017. "Total Factor Productivity in Milk Production in Haryana," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 30(2).
    7. Wang, Xiaoxi & Biewald, Anne & Dietrich, Jan Philipp & Schmitz, Christoph & Lotze-Campen, Hermann & Humpenöder, Florian & Bodirsky, Benjamin Leon & Popp, Alexander, 2016. "Taking account of governance: Implications for land-use dynamics, food prices, and trade patterns," Ecological Economics, Elsevier, vol. 122(C), pages 12-24.
    8. Christoph Schmitz & Hans van Meijl & Page Kyle & Gerald C. Nelson & Shinichiro Fujimori & Angelo Gurgel & Petr Havlik & Edwina Heyhoe & Daniel Mason d'Croz & Alexander Popp & Ron Sands & Andrzej Tabea, 2014. "Land-use change trajectories up to 2050: insights from a global agro-economic model comparison," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 69-84, January.

    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. Md Aslam Mia & V. G. R. Chandran, 2016. "Measuring Financial and Social Outreach Productivity of Microfinance Institutions in Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 505-527, June.
    2. Nin Pratt, Alejandro & Yu, Bingxin, 2008. "An updated look at the recovery of agricultural productivity in Sub-Saharan Africa:," IFPRI discussion papers 787, International Food Policy Research Institute (IFPRI).
    3. Arega D. Alene, 2010. "Productivity growth and the effects of R&D in African agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 223-238, May.
    4. Carlos Ludena, 2010. "Agricultural Productivity Growth, Efficiency Change and Technical Progress in Latin America and the Caribbean," Research Department Publications 4675, Inter-American Development Bank, Research Department.
    5. Bhushan, S., 2016. "TFP Growth of Wheat and Paddy in Post-Green Revolution Era in India: Parametric and Non-Parametric Analysis," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 29(1).
    6. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    7. Tian, Xu & Yu, Xiaohua, 2012. "The Enigmas of TFP in China: A meta-analysis," China Economic Review, Elsevier, vol. 23(2), pages 396-414.
    8. Miguel Martín-Retortillo & Vicente Pinilla & Jackeline Velazco & Henry Willebald, 2016. "The dynamics of latin american agricultural production growth, 1950-2008," Documentos de Trabajo (DT-AEHE) 1610, Asociación Española de Historia Económica.
    9. Fuglie, Keith, 2015. "Accounting for growth in global agriculture," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(3), pages 1-34, December.
    10. Runge, C. Ford, 2006. "Agricultural Economics: A Brief Intellectual History," Staff Papers 13649, University of Minnesota, Department of Applied Economics.
    11. K Hervé Dakpo & Yann Desjeux & Philippe Jeanneaux & Laure Latruffe, 2017. "Productivity, technical efficiency and technological change in French agriculture during 2002-2014: A Färe-Primont index decomposition," Working Papers SMART - LERECO 17-07, INRAE UMR SMART-LERECO.
    12. Pardey, Philip G. & Koo, Bonwoo & Nottenburg, Carol, 2004. "Creating, Protecting, And Using Crop Biotechnologies Worldwide In An Era Of Intellectual Property," Staff Papers 13600, University of Minnesota, Department of Applied Economics.
    13. Ludena, Carlos & Hertel, Thomas & Preckel, Paul & Foster, Kenneth & Nin Pratt, Alejandro, 2006. "Productivity Growth and Convergence in Crop, Ruminant and Non-Ruminant Production: Measurement and Forecasts," GTAP Working Papers 2220, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    14. Ludena, Carlos E. & Hertel, Thomas W. & Preckel, Paul V. & Foster, Kenneth A. & Nin Pratt, Alejandro, 2005. "Disaggregate Productivity Growth in Livestock Production: A Directional Malmquist Index Approach," 2005 Annual meeting, July 24-27, Providence, RI 19395, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    16. Sun, Huaping & Kporsu, Anthony Kwaku & Taghizadeh-Hesary, Farhad & Edziah, Bless Kofi, 2020. "Estimating environmental efficiency and convergence: 1980 to 2016," Energy, Elsevier, vol. 208(C).
    17. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    18. Lotze-Campen, Hermann & von Witzke, Harald & Noleppa, Steffen & Schwarz, Gerald, 2015. "Science for food, climate protection and welfare: An economic analysis of plant breeding research in Germany," Agricultural Systems, Elsevier, vol. 136(C), pages 79-84.
    19. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    20. Gómez, Miguel I. & Ricketts, Katie D., 2013. "Food value chain transformations in developing countries: Selected hypotheses on nutritional implications," Food Policy, Elsevier, vol. 42(C), pages 139-150.

    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:eee:ecomod:v:232:y:2012:i:c:p:109-118. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.