IDEAS home Printed from https://ideas.repec.org/a/spr/cliomt/v17y2023i3d10.1007_s11698-022-00253-w.html
   My bibliography  Save this article

Testing the “trickle-down” theory through GECEM database: consumer behaviour, Chinese goods, and trade networks in the Western Mediterranean, 1730–1808

Author

Listed:
  • Manuel Perez-Garcia

    (Shanghai Jiao Tong University / P.I. GECEM Project)

Abstract

Economic historians have used GDP and its backwards projections to quantify economic growth and the process of early globalisation from year 1 CE to the present day. This has generated a lively debate concerning which methodologies are the most accurate for quantitative history and which data are most reliable. In addition, whilst an overwhelming amount of scholarship has emerged on the supply side, the demand side and family economic changes have been less popular in economic history. In this article, I present a concrete case study to analyse consumer behaviour: the circulation of Chinese goods in western Mediterranean markets during the eighteenth century. In so doing, I test the “trickle-down” theory with new archival data using GECEM Project Database, and apply the OLS and SNA to measure the social distribution of these goods through trade networks’ intermediation. The main result is that the agency of middle social groups—mainly merchants—was changing consumers’ behaviour in western Mediterranean markets, and not local oligarchies and nobility as the “trickle-down” theory has conventionally assessed.

Suggested Citation

  • Manuel Perez-Garcia, 2023. "Testing the “trickle-down” theory through GECEM database: consumer behaviour, Chinese goods, and trade networks in the Western Mediterranean, 1730–1808," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(3), pages 567-605, September.
  • Handle: RePEc:spr:cliomt:v:17:y:2023:i:3:d:10.1007_s11698-022-00253-w
    DOI: 10.1007/s11698-022-00253-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11698-022-00253-w
    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/s11698-022-00253-w?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. Philippe Aghion & Patrick Bolton, 1997. "A Theory of Trickle-Down Growth and Development," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(2), pages 151-172.
    2. Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
    3. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    4. Manuel Perez-Garcia, 2019. "Consumption of Chinese goods in southwestern Europe: a multi-relational database and the vicarious consumption theory as alternative model to the industrious revolution (eighteenth century)," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 52(1), pages 15-36, January.
    5. Broadberry, Stephen & Guan, Hanhui & Li, David Daokui, 2018. "China, Europe, and the Great Divergence: A Study in Historical National Accounting, 980–1850," The Journal of Economic History, Cambridge University Press, vol. 78(4), pages 955-1000, December.
    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. Bassino, Jean-Pascal & Broadberry, Stephen & Fukao, Kyoji & Gupta, Bishnupriya & Takashima, Masanori, 2019. "Japan and the great divergence, 730–1874," Explorations in Economic History, Elsevier, vol. 72(C), pages 1-22.
    2. Reto Foellmi & Josef Zweimuller, 2006. "Income Distribution and Demand-Induced Innovations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(4), pages 941-960.
    3. Zweimuller, Josef, 2000. "Schumpeterian Entrepreneurs Meet Engel's Law: The Impact of Inequality on Innovation-Driven Growth," Journal of Economic Growth, Springer, vol. 5(2), pages 185-206, June.
    4. Josef ZweimüLler, 2000. "Inequality, Redistribution, and Economic Growth," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(1), pages 1-20, March.
    5. Foellmi, Reto & Josef Zweim¸ller, 2002. "Heterogeneous Mark-ups, Demand Composition, and the Inequality-Growth Relation," Royal Economic Society Annual Conference 2002 76, Royal Economic Society.
    6. J. K. Pappalardo, 2022. "Economics of Consumer Protection: Contributions and Challenges in Estimating Consumer Injury and Evaluating Consumer Protection Policy," Journal of Consumer Policy, Springer, vol. 45(2), pages 201-238, June.
    7. Grossmann, Volker, 2008. "Risky human capital investment, income distribution, and macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 19-42, March.
    8. Rajeev K. Goel & Shoji Haruna, 2021. "Unmasking the demand for masks: Analytics of mandating coronavirus masks," Metroeconomica, Wiley Blackwell, vol. 72(3), pages 580-591, July.
    9. Julia M. Puaschunder, 2019. "Artificial Intelligence Market Disruption," Proceedings of the 13th International RAIS Conference, June 10-11, 2019 01 JP, Research Association for Interdisciplinary Studies.
    10. Lee, Jonq-Ying & Brown, Mark G. & Schwartz, Brooke, 1986. "The Demand For National Brand And Private Label Frozen Concentrated Orange Juice: A Switching Regression Analysis," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(1), pages 1-7, July.
    11. Emily Breza & Cynthia Kinnan, 2021. "Measuring the Equilibrium Impacts of Credit: Evidence from the Indian Microfinance Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1447-1497.
    12. Alessandro Spiganti, 2022. "Wealth Inequality and the Exploration of Novel Alternatives," Working Papers 2022:02, Department of Economics, University of Venice "Ca' Foscari".
    13. Hrushikesh Mallick, 2008. "Do remittances impact the economy? Some empirical evidences from a developing economy," Centre for Development Studies, Trivendrum Working Papers 407, Centre for Development Studies, Trivendrum, India.
    14. Ghosh, sudeshna, 2017. "Education Attainment Forecasting and Economic Inequality United States," MPRA Paper 89712, University Library of Munich, Germany.
    15. Richard Chisik & Nazanin Behzadan & Harun Onder & Apurva Sanghi, 2016. "Aid, Remittances, the Dutch Disease, Refugees, and Kenya," Working Papers 062, Ryerson University, Department of Economics.
    16. Takashi Kamihigashi & John Stachurski, 2011. "Existence, Stability and Computation of Stationary Distributions: An Extension of the Hopenhayn-Prescott Theorem," Discussion Paper Series DP2011-32, Research Institute for Economics & Business Administration, Kobe University.
    17. Shinhye Chang & Rangan Gupta & Stephen M. Miller, 2018. "Causality Between Per Capita Real GDP and Income Inequality in the U.S.: Evidence from a Wavelet Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 269-289, January.
    18. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    19. Takuma Kunieda & Masashi Takahashi, 2022. "Inequality and institutional quality in a growth model," Evolutionary and Institutional Economics Review, Springer, vol. 19(1), pages 189-213, April.
    20. Brito Paulo & Marini Giancarlo & Piergallini Alessandro, 2016. "House prices and monetary policy," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(3), pages 251-277, June.

    More about this item

    Keywords

    Global (Economic) History; “Trickle-down” theory; GECEM Project Database; China-Europe; Consumer behaviour; Social network analysis;
    All these keywords.

    JEL classification:

    • B3 - Schools of Economic Thought and Methodology - - History of Economic Thought: Individuals
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • N3 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

    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:spr:cliomt:v:17:y:2023:i:3:d:10.1007_s11698-022-00253-w. 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.