IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v42y2018i5p345-360.html
   My bibliography  Save this article

Does computer penetration increase farmers’ income? An empirical study from China

Author

Listed:
  • Gao, Yanyan
  • Zang, Leizhen
  • Sun, Jun

Abstract

The diffusion and adoption of modern information technology provide new chance for China to close urban-rural income gap. This paper uses China's provincial panel data from 2002 to 2013 to investigate the effect of computer penetration on rural residents' income. A public program aiming to connect every village with broadband Internet and other rural facilities provides plausibly exogenous variation in rural residents' availability and adoption of the broadband Internet, which is used to explore the instrument variable for rural computer penetration. The results show that rural computer penetration tends to increase rural residents' income over time, but the average effect remains limited. The dynamic panel threshold effects model, which allows for both the threshold variable and other covariates to be endogenous, is further used to explore the constraints of the income-increase effect of rural computer penetration. It shows that the effect is at least doubled over the average effect estimated from instrument variables method, once the digital divide causes are removed. Our findings have important implications for the government to increase rural residents' income and reduce urban-rural income gap by encouraging rural computer usage and removing the digital divide.

Suggested Citation

  • Gao, Yanyan & Zang, Leizhen & Sun, Jun, 2018. "Does computer penetration increase farmers’ income? An empirical study from China," Telecommunications Policy, Elsevier, vol. 42(5), pages 345-360.
  • Handle: RePEc:eee:telpol:v:42:y:2018:i:5:p:345-360
    DOI: 10.1016/j.telpol.2018.03.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596117304688
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.telpol.2018.03.002?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. Yanyan Gao & Jianghuai Zheng & Maoliang Bu, 2014. "Rural-urban income gap and agricultural growth in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(1), pages 92-107, January.
    2. Menzie D. Chinn & Robert W. Fairlie, 2007. "The determinants of the global digital divide: a cross-country analysis of computer and internet penetration," Oxford Economic Papers, Oxford University Press, vol. 59(1), pages 16-44, January.
    3. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    4. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    5. Dennis Tao Yang & Hao Zhou, 1999. "Rural-urban disparity and sectoral labour allocation in China," Journal of Development Studies, Taylor & Francis Journals, vol. 35(3), pages 105-133.
    6. Anders Akerman & Ingvil Gaarder & Magne Mogstad, 2015. "The Skill Complementarity of Broadband Internet," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1781-1824.
    7. Sabrina Wulff Pabilonia & Cindy Zoghi, 2005. "Returning to the Returns to Computer Use," American Economic Review, American Economic Association, vol. 95(2), pages 314-317, May.
    8. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    9. Fan, Shenggan & Pardey, Philip G., 1997. "Research, productivity, and output growth in Chinese agriculture," Journal of Development Economics, Elsevier, vol. 53(1), pages 115-137, June.
    10. Oecd, 2001. "Understanding the Digital Divide," OECD Digital Economy Papers 49, OECD Publishing.
    11. Jacob L. Vigdor & Helen F. Ladd & Erika Martinez, 2014. "Scaling The Digital Divide: Home Computer Technology And Student Achievement," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 1103-1119, July.
    12. Peter Dolton & Gerry Makepeace, 2004. "Computer Use and Earnings in Britain," Economic Journal, Royal Economic Society, vol. 114(494), pages 117-129, March.
    13. Meng‐chun Liu & Gee San, 2006. "Social Learning and Digital Divides: A Case Study of Internet Technology Diffusion," Kyklos, Wiley Blackwell, vol. 59(2), pages 307-321, May.
    14. Entorf, Horst & Gollac, Michel & Kramarz, Francis, 1999. "New Technologies, Wages, and Worker Selection," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 464-491, July.
    15. Schleife, Katrin, 2010. "What really matters: Regional versus individual determinants of the digital divide in Germany," Research Policy, Elsevier, vol. 39(1), pages 173-185, February.
    16. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2012. "Asymmetric capital structure adjustments: New evidence from dynamic panel threshold models," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 465-482.
    17. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    18. Huang, Jikun & Rozelle, Scott, 1996. "Technological change: Rediscovering the engine of productivity growth in China's rural economy," Journal of Development Economics, Elsevier, vol. 49(2), pages 337-369, May.
    19. Ram C. Acharya, 2016. "ICT use and total factor productivity growth: intangible capital or productive externalities?," Oxford Economic Papers, Oxford University Press, vol. 68(1), pages 16-39.
    20. Ting, Carol & Yi, Famin, 2013. "ICT policy for the “socialist new countryside”—A case study of rural informatization in Guangdong, China," Telecommunications Policy, Elsevier, vol. 37(8), pages 626-638.
    21. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    22. LaRose, Robert & Gregg, Jennifer L. & Strover, Sharon & Straubhaar, Joseph & Carpenter, Serena, 0. "Closing the rural broadband gap: Promoting adoption of the Internet in rural America," Telecommunications Policy, Elsevier, vol. 31(6-7), pages 359-373, July.
    23. Entorf, Horst & Kramarz, Francis, 1997. "Does unmeasured ability explain the higher wages of new technology workers?," European Economic Review, Elsevier, vol. 41(8), pages 1489-1509, August.
    24. Yanyan Gao, 2010. "Urban Bias, Rural-Urban Income Gap and Agricultural Growth: the Resource-Diverting Effect of Rural-Urban Income Gap in China," Monash Economics Working Papers 34-10, Monash University, Department of Economics.
    25. Stephanie Kremer & Alexander Bick & Dieter Nautz, 2013. "Inflation and growth: new evidence from a dynamic panel threshold analysis," Empirical Economics, Springer, vol. 44(2), pages 861-878, April.
    26. Vinayagathasan, Thanabalasingam, 2013. "Inflation and economic growth: A dynamic panel threshold analysis for Asian economies," Journal of Asian Economics, Elsevier, vol. 26(C), pages 31-41.
    27. Li, Raymond & Shiu, Alice, 2012. "Internet diffusion in China: A dynamic panel data analysis," Telecommunications Policy, Elsevier, vol. 36(10), pages 872-887.
    28. de New, John & Schmidt, Christoph M., 1999. "Money for Nothing and Your Chips for Free? The Anatomy of the PC Wage Differential," IZA Discussion Papers 86, Institute of Labor Economics (IZA).
    29. Quibria, M. G. & Ahmed, Shamsun N. & Tschang, Ted & Reyes-Macasaquit, Mari-Len, 2003. "Digital divide: determinants and policies with special reference to Asia," Journal of Asian Economics, Elsevier, vol. 13(6), pages 811-825, January.
    30. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    31. Hwang, Won-Sik & Shin, Jungwoo, 2017. "ICT-specific technological change and economic growth in Korea," Telecommunications Policy, Elsevier, vol. 41(4), pages 282-294.
    32. Noh, Yong-Hwan & Yoo, Kyeongwon, 2008. "Internet, inequality and growth," Journal of Policy Modeling, Elsevier, vol. 30(6), pages 1005-1016.
    33. Jenny C. Aker, 2010. "Information from Markets Near and Far: Mobile Phones and Agricultural Markets in Niger," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 46-59, July.
    34. Brian Whitacre & Roberto Gallardo & Sharon Strover, 2014. "Does rural broadband impact jobs and income? Evidence from spatial and first-differenced regressions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(3), pages 649-670, November.
    35. Robert Jensen, 2007. "The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 879-924.
    36. Tuan Hock Ng & Chun Teck Lye & Ying San Lim, 2013. "Broadband penetration and economic growth in ASEAN countries: a generalized method of moments approach," Applied Economics Letters, Taylor & Francis Journals, vol. 20(9), pages 857-862, June.
    37. Choi, Changkyu & Hoon Yi, Myung, 2009. "The effect of the Internet on economic growth: Evidence from cross-country panel data," Economics Letters, Elsevier, vol. 105(1), pages 39-41, October.
    38. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    39. Joeffrey DROUARD, 2010. "Computer Literacy, Online Experience or Socioeconomic Characteristics – What are the Main Determinants of Internet Adoption and Internet Usage?," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(80), pages 83-104, 4th quart.
    40. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Cindy Zoghi & Sabrina Wulff Pabilonia, 2007. "Which workers gain upon adopting a computer?," Canadian Journal of Economics, Canadian Economics Association, vol. 40(2), pages 423-444, May.
    2. Thierry PENARD & Nicolas POUSSING & Gabriel ZOMO YEBE & Philémon NSI ELLA, 2012. "Comparing the Determinants of Internet and Cell Phone Use in Africa: Evidence from Gabon," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(86), pages 65-83, 2nd quart.
    3. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    4. Cindy Zoghi & Sabrina Wulff Pabilonia, 2007. "Which workers gain upon adopting a computer?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(2), pages 423-444, May.
    5. Asimakopoulos, Stylianos & Karavias, Yiannis, 2016. "The impact of government size on economic growth: A threshold analysis," Economics Letters, Elsevier, vol. 139(C), pages 65-68.
    6. Srinuan, Chalita & Bohlin, Erik, 2011. "Understanding the digital divide: A literature survey and ways forward," 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications - Emerging Regulatory, Economic and Policy Issues 52191, International Telecommunications Society (ITS).
    7. Zhang, Jianhua & Zhao, Zhao & Jian, Wenqing, 2020. "Do cash flow imbalances facilitate leverage adjustments of Chinese listed firms? Evidence from a dynamic panel threshold model," Economic Modelling, Elsevier, vol. 89(C), pages 201-214.
    8. PENARD Thierry & POUSSING Nicolas & ZOMO YEBE Gabriel & NSI ELLA Philémon, 2012. "Usage d'Internet et du téléphone mobile en Afrique : une comparaison des déterminants d'adoption sur données gabonaises," LISER Working Paper Series 2012-15, Luxembourg Institute of Socio-Economic Research (LISER).
    9. Woosik Gong & Myung Hwan Seo, 2022. "Bootstraps for Dynamic Panel Threshold Models," Papers 2211.04027, arXiv.org, revised Nov 2023.
    10. Bloom, Nicholas & Hassan, Tarek Alexander & Kalyani, Aakash & Lerner, Josh & Tahoun, Ahmed, 2021. "The diffusion of disruptive technologies," LSE Research Online Documents on Economics 113870, London School of Economics and Political Science, LSE Library.
    11. Baharumshah, Ahmad Zubaidi & Slesman, Ly & Wohar, Mark E., 2016. "Inflation, inflation uncertainty, and economic growth in emerging and developing countries: Panel data evidence," Economic Systems, Elsevier, vol. 40(4), pages 638-657.
    12. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    13. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    14. Abdulqadir, Idris A. & Asongu, Simplice A., 2022. "The asymmetric effect of internet access on economic growth in sub-Saharan Africa," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 44-61.
    15. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    16. Vinayagathasan, Thanabalasingam, 2013. "Inflation and economic growth: A dynamic panel threshold analysis for Asian economies," Journal of Asian Economics, Elsevier, vol. 26(C), pages 31-41.
    17. Ho, Sy-Hoa & Saadaoui, Jamel, 2022. "Bank credit and economic growth: A dynamic threshold panel model for ASEAN countries," International Economics, Elsevier, vol. 170(C), pages 115-128.
    18. Paul Gaggl & Greg C. Wright, 2017. "A Short-Run View of What Computers Do: Evidence from a UK Tax Incentive," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 262-294, July.
    19. Axel Franzen, 2001. "Wages and the Use of New Technologies: An Empirical Analysis of the Swiss Labor Market," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 137(IV), pages 505-523, December.
    20. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2021. "Determinants of renewable energy consumption: Importance of democratic institutions," Renewable Energy, Elsevier, vol. 179(C), pages 75-83.

    More about this item

    Keywords

    Computer penetration; Digital divide; Rural residents' income; Instrument variables; China; Dynamic panel threshold effects model;
    All these keywords.

    JEL classification:

    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L38 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Public Policy
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics

    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:eee:telpol:v:42:y:2018:i:5:p:345-360. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.