[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
research-article

Is IT Enough? Evidence from a Natural Experiment in India’s Agriculture Markets

Published: 01 September 2016 Publication History

Abstract

Access to information and communication technologies (ICTs) such as mobile phone networks is widely known to improve market efficiency. In this paper, we examine whether access to timely and accurate information provided through ICT applications has any additional impact. Using a detailed data set from Reuters Market Light (RML), a text message service in India that provides daily price information to market participants, we find that this information reduces the geographic price dispersion of crops in rural communities by an average of 12%, over and above access to mobile phone technology and other means of communication. To identify the effect of information on price dispersion, we exploit a natural experiment where bulk text messages were banned unexpectedly across India for 12 days in 2010. We find that besides reducing geographic price dispersion, RML also increases the rate at which prices converge across India over time. We discuss the implications of this for development organizations and information providers.
This paper was accepted by Lorin Hitt, information systems.

References

[1]
Aker JC (2008) Does digital divide or provide? The impact of cell phones on grain markets in Niger. Center for Global Development Working Paper 154, Center for Global Development in Europe, London.
[2]
Aker JC (2010) Information from markets near and far: Mobile phones and agricultural markets in Niger. Amer. Econom. J.: Appl. Econom. 2(3):46–59.
[3]
Aker JC, Mbiti IM (2010) Mobile phones and economic development in Africa. J. Econom. Perspect. 24(3):207–232.
[4]
Arora V (2010) Politics, not faith, brings violence. Guardian (September 30), http://www.theguardian.com/commentisfree/belief/2010/sep/30/politics-not-faith-brings-violence.
[5]
Bakos JY (1991) Strategic analysis of electronic marketplaces. MIS Quart. 15(3):295–310.
[6]
Bartsch U, Gupta AS, Sharma M (2010) India economic update. Working paper, World Bank, Washington, DC.
[7]
Baye MR, Morgan J (2001) Information gatekeepers on the Internet and the competitiveness of homogeneous product markets. Amer. Econom. Rev. 91(3):454–474.
[8]
Baye MR, Morgan J, Scholten P (2004) Price dispersion in the small and in the large: Evidence from an Internet price comparison site. J. Indust. Econom. 52(4):463–496.
[9]
Baye MR, Morgan J, Scholten P (2006) Information, search, and price dispersion. Hendershott T, ed. Economics and Information Systems, (Elsevier, Oxford, UK), 323–376.
[10]
Brynjolfsson E, Smith MD (2000) Frictionless commerce? A comparison of Internet and conventional retailers. Management Sci. 46(4):563–585.
[11]
Cameron AC, Gelbach JB, Miller DL (2011) Robust inference with multiway clustering. J. Bus. Econom. Statist. 29(2):238–249.
[12]
Central Intelligence Agency (2012) The CIA World Factbook 2012 (Skyhorse Publishing, New York).
[13]
Chen S, Ravallion M (2010) The developing world is poorer than we thought, but no less successful in the fight against poverty. Quart. J. Econom. 125(4):1577–1625.
[14]
Daszykowski M, Walczak B, Massart DL (2002) Looking for natural patterns in analytical data. 2. Tracing local density with OPTICS. J. Chem. Inform. Comput. Sci. 42(3):500–507.
[15]
Devalkar SK, Anupindi R, Sinha A (2011) Integrated optimization of procurement, processing, and trade of commodities. Oper. Res. 59(6):1369–1381.
[16]
Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J. Amer. Statist. Assoc. 74(366):427–431.
[17]
Einav L, Kuchler T, Levin J, Sundaresan N (2015) Assessing sale strategies in online markets using matched listings. Amer. Econom. J.: Microeconom. 7(2):215–247.
[18]
Ellison G, Ellison SF (2009) Search, obfuscation, and price elasticities on the Internet. Econometrica 77(2):427–452.
[19]
Fafchamps M, Minten B (2012) Impact of SMS-based agricultural information on Indian farmers. World Bank Econom. Rev. 26(3):383–414.
[20]
Fan CS, Wei X (2006) The law of one price: Evidence from the transitional economy of China. Rev. Econom. Statist. 88(4):682–697.
[21]
Futch M, McIntosh C (2009) Tracking the introduction of the village phone product in Rwanda. Inform. Tech. Internat. Development 5(3):54–81.
[22]
Gatti JRJ, Kattuman P (2003) Online price dispersion within and between seven European countries. Baye MR, ed. Advances in Applied Microeconomics, Vol. 12 (JAI Press, Greenwich, CT), 107–141.
[23]
Ghose A, Yao Y (2011) Using transaction prices to re-examine price dispersion in electronic markets. Inform. Systems Res. 22(2):269–288.
[24]
Goyal A (2010) Information, direct access to farmers, and rural market performance in central India. Amer. Econom. J.: Appl. Econom. 2(3):22–45.
[25]
Hsiao C (2003) Analysis of Panel Data, 2nd ed. (Cambridge University Press, Cambridge, UK).
[26]
Independent Evaluation Group (2011) An evaluation of World Bank Group activities in information and communication technologies: Capturing technology for development. Report, World Bank Group, Washington, DC.
[27]
Indian Express (2014) Telcos file complain against “disruption of services.”. (April 8), http://indianexpress.com/article/india/india-others/telcos-file-complain-against-disruption-of-services/.
[28]
Internet and Mobile Association of India (2012) Internet in rural India. Report, Internet and Mobile Association of India, Mumbai.
[29]
Isard P (1977) How far can we push the “law of one price”? Amer. Econom. Rev. 67(5):942–948.
[30]
Jensen R (2007) The digital provide: Information (technology), market performance, and welfare in the south Indian fisheries sector. Quart. J. Econom. 122(3):879–924.
[31]
Jensen RT (2010) Information, efficiency, and welfare in agricultural markets. Agricultural Econom. 41(S1):203–216.
[32]
Levin A, Lin C-F, Chu C-SJ (2002) Unit root tests in panel data: Asymptotic and finite-sample properties. J. Econometrics 108(1):1–24.
[33]
Maddala GS, Wu S (1999) A comparative study of unit root tests with panel data and a new simple test. Oxford Bull. Econom. Statist. 61(S1):631–652.
[34]
Malone TW, Yates J, Benjamin RI (1987) Electronic markets and electronic hierarchies. Comm. ACM 30(6):484–497.
[35]
Markides C (2009) Reuters Market Light: A new business model in action. Case study, London Business School, London.
[36]
Mittal S, Gandhi S, Tripathi G (2010) Socio-economic impact of mobile phones on Indian agriculture. Working Paper 246, Indian Council for Research on International Economic Relations, New Dehli.
[37]
NDTV.com (2015) Ayodhya verdict: Temple politics in Uttar Pradesh. (October 2), http://www.ndtv.com/india-news/ayodhya-verdict-temple-politics-in-uttar-pradesh-434024.
[38]
Overby E, Forman C (2015) The effect of electronic commerce on geographic purchasing patterns and price dispersion. Management Sci. 61(2):431–453.
[39]
Parsley DC, Wei S-J (1996) Convergence to the law of one price without trade barriers or currency fluctuations. Quart. J. Econom. 111(4):1211–1236.
[40]
Ryan KF, Giles DE (1998) Testing for unit roots in economic time-series with missing observations. Fomby T, Hill R, eds. Messy Data, Advances in Econometrics, Vol. 13 (JAI Press, Greenwich, CT), 203–242.
[41]
Sorensen AT (2000) Equilibrium price dispersion in retail markets for prescription drugs. J. Political Econom. 108(4):833–850.
[42]
Svensson J, Yanagizawa D (2009) Getting prices right: The impact of the market information service in Uganda. J. Eur. Econom. Assoc. 7(2–3):435–445.
[43]
Tambe P, Hitt LM (2013) Measuring information technology spillovers. Inform. Systems Res. 25(1):53–71.
[44]
Tang Z, Smith MD, Montgomery A (2010) The impact of shopbot use on prices and price dispersion: Evidence from online book retailing. Internat. J. Indust. Organ. 28(6):579–590.
[45]
Thomas S (2003) Agricultural commodity markets in India: Policy issues for growth. IGIDR Working paper, Indira Gandhi Institute of Development Research, Mumbai, India.
[46]
U.S. Agency for International Development (2010) Using ICT to provide agriculture market price information in Africa. Briefing paper, USAID, Washington, DC.
[47]
Wooldridge JM (2006) Cluster-sample methods in applied econometrics: An extended analysis. Working paper, Michigan State University, East Lansing.

Cited By

View all

Index Terms

  1. Is IT Enough? Evidence from a Natural Experiment in India’s Agriculture Markets
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image Management Science
      Management Science  Volume 62, Issue 9
      September 2016
      312 pages
      ISSN:0025-1909
      DOI:10.1287/mnsc.2016.62.issue-9
      Issue’s Table of Contents

      Publisher

      INFORMS

      Linthicum, MD, United States

      Publication History

      Published: 01 September 2016
      Accepted: 10 May 2015
      Received: 22 July 2012

      Author Tags

      1. price dispersion
      2. information and communication technology
      3. natural experiment
      4. agricultural supply chains

      Qualifiers

      • Research-article

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 13 Jan 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)Technology-Enabled Agent Choice and Uptake of Social Assistance ProgramsManufacturing & Service Operations Management10.1287/msom.2022.052826:4(1472-1488)Online publication date: 1-Jul-2024
      • (2024)Sooner or Later? Promising Delivery Speed in Online RetailManufacturing & Service Operations Management10.1287/msom.2021.017426:1(233-251)Online publication date: 1-Jan-2024
      • (2024)The Digital Lives of the PoorManagement Science10.1287/mnsc.2024.498970:12(9089-9100)Online publication date: 1-Dec-2024
      • (2024)Helping Small Businesses Become More Data-DrivenManagement Science10.1287/mnsc.2021.0202670:11(7345-7372)Online publication date: 1-Nov-2024
      • (2023)Does Social Media Dominate Government Report Cards in Influencing Nursing Home Demand?Manufacturing & Service Operations Management10.1287/msom.2021.030325:6(2085-2105)Online publication date: 2-Aug-2023
      • (2023)The Impact of Social Nudges on User-Generated Content for Social Network PlatformsManagement Science10.1287/mnsc.2022.462269:9(5189-5208)Online publication date: 1-Sep-2023
      • (2023)Does rural e-commerce agglomeration help expand family farms’ size? Evidence from Taobao villages in China's Yangtze River DeltaElectronic Commerce Research10.1007/s10660-023-09735-z23:3(1731-1752)Online publication date: 11-Jul-2023
      • (2022)The Heterogeneous Effects of P2P Ride-Hailing on TrafficTransportation Science10.1287/trsc.2021.107756:3(750-774)Online publication date: 1-May-2022
      • (2022)Reining in Onion Prices by Introducing a Vertically Differentiated SubstituteManufacturing & Service Operations Management10.1287/msom.2022.114524:6(3283-3305)Online publication date: 1-Nov-2022
      • (2022)Buyer’s Bankruptcy Risk, Sourcing Strategy, and Firm ValueManagement Science10.1287/mnsc.2021.427068:11(7940-7957)Online publication date: 1-Nov-2022
      • Show More Cited By

      View Options

      View options

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media