IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8474-d860024.html
   My bibliography  Save this article

Causal Link between Technological Innovation and Inequality Moderated by Public Spending, Manufacturing, Agricultural Employment, and Export Diversification

Author

Listed:
  • Tao Tang

    (Institute of Xi Jinping Thought on Socialism with Chinese Charateristics for a New Era, Peking University, Beijing 100871, China)

  • Lizeth Cuesta

    (Carrera de Economía, Universidad Nacional de Loja, Loja 110150, Ecuador)

  • Brayan Tillaguango

    (Esai Business School, Universidad Espíritu Santo, Samborondon 091650, Ecuador)

  • Rafael Alvarado

    (Carrera de Economía and Centro de Investigaciones Sociales y Económicas, Universidad Nacional de Loja, Loja 110150, Ecuador)

  • Abdul Rehman

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450002, China)

  • Diana Bravo-Benavides

    (Departamento de Economía, Universidad Técnica Particular de Loja, Loja 110150, Ecuador)

  • Natalia Zárate

    (Carrera de Trabajo Social, Universidad Nacional de Loja, Loja 110150, Ecuador)

Abstract

Sustainable Development Goal 10 (SDG10) proposes the reduction of inequalities. This research highlights the importance of considering short- and long-term mechanisms for designing and applying policies to reduce income inequality. Specifically, we test for the causal link between technological innovation and income inequality using a balanced panel data sample from 73 countries worldwide. The inequality–technological innovation relationship is moderated by public spending, manufacturing, employment in agriculture, and export diversification. We use quantile regression techniques to test the impact of technological innovation on income inequality. The results offer robust empirical evidence that in most quantiles, the impact of technological innovation on inequality is positive. This result suggests that the dark side of technological innovation is that it increases income inequality. Furthermore, we find that government spending reduces inequality across all quantiles, while the effect of employment in agriculture and export diversification is inconclusive. Those responsible for social policy towards the achievement of SDG10 must include the advantages of public spending to reduce social disparities and promote social cohesion within countries.

Suggested Citation

  • Tao Tang & Lizeth Cuesta & Brayan Tillaguango & Rafael Alvarado & Abdul Rehman & Diana Bravo-Benavides & Natalia Zárate, 2022. "Causal Link between Technological Innovation and Inequality Moderated by Public Spending, Manufacturing, Agricultural Employment, and Export Diversification," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8474-:d:860024
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8474/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/14/8474/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ojha, Vijay P. & Pradhan, Basanta K. & Ghosh, Joydeep, 2013. "Growth, inequality and innovation: A CGE analysis of India," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 909-927.
    2. Chen, Bo, 2017. "Upstreamness, exports, and wage inequality: Evidence from Chinese manufacturing data," Journal of Asian Economics, Elsevier, vol. 48(C), pages 66-74.
    3. Chu, Angus C. & Cozzi, Guido & Furukawa, Yuichi, 2016. "Unions, innovation and cross-country wage inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 104-118.
    4. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    5. Ding, Shijun & Meriluoto, Laura & Reed, W. Robert & Tao, Dayun & Wu, Haitao, 2011. "The impact of agricultural technology adoption on income inequality in rural China: Evidence from southern Yunnan Province," China Economic Review, Elsevier, vol. 22(3), pages 344-356, September.
    6. Glomm, Gerhard & Ravikumar, B., 2003. "Public education and income inequality," European Journal of Political Economy, Elsevier, vol. 19(2), pages 289-300, June.
    7. El Benni, Nadja & Finger, Robert, 2013. "The effect of agricultural policy reforms on income inequality in Swiss agriculture - An analysis for valley, hill and mountain regions," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 638-651.
    8. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    9. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    10. Klein, Michael W. & Moser, Christoph & Urban, Dieter M., 2013. "Exporting, skills and wage inequality," Labour Economics, Elsevier, vol. 25(C), pages 76-85.
    11. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    12. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    13. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    14. David Powell, 2020. "Quantile Treatment Effects in the Presence of Covariates," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 994-1005, December.
    15. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    16. Anderson, Lisa R. & Mellor, Jennifer M. & Milyo, Jeffrey, 2008. "Inequality and public good provision: An experimental analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(3), pages 1010-1028, June.
    17. Blomquist, Johan & Westerlund, Joakim, 2013. "Testing slope homogeneity in large panels with serial correlation," Economics Letters, Elsevier, vol. 121(3), pages 374-378.
    18. Christopher Herrington, 2015. "Public Education Financing, Earnings Inequality, and Intergenerational Mobility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(4), pages 822-842, October.
    19. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    20. Fosu, Augustin Kwasi, 2017. "Growth, inequality, and poverty reduction in developing countries: Recent global evidence," Research in Economics, Elsevier, vol. 71(2), pages 306-336.
    21. Mishra, Ashok & El-Osta, Hisham & Gillespie, Jeffrey M., 2009. "Effect of agricultural policy on regional income inequality among farm households," Journal of Policy Modeling, Elsevier, vol. 31(3), pages 325-340, May.
    22. Bou Dib, Jonida & Alamsyah, Zulkifli & Qaim, Matin, 2018. "Land-use change and income inequality in rural Indonesia," Forest Policy and Economics, Elsevier, vol. 94(C), pages 55-66.
    23. Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
    24. Azar Dufrechou, Paola, 2016. "The efficiency of public education spending in Latin America: A comparison to high-income countries," International Journal of Educational Development, Elsevier, vol. 49(C), pages 188-203.
    25. Odhiambo, Nicholas M., 2022. "Information technology, income inequality and economic growth in sub-Saharan African countries," Telecommunications Policy, Elsevier, vol. 46(6).
    26. Frydman, Carola & Papanikolaou, Dimitris, 2018. "In search of ideas: Technological innovation and executive pay inequality," Journal of Financial Economics, Elsevier, vol. 130(1), pages 1-24.
    27. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    28. Maisonnave, Hélène & Mamboundou, Pierre Nziengui, 2022. "Agricultural economic reforms, gender inequality and poverty in Senegal," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 361-374.
    29. Madsen, Jakob & Strulik, Holger, 2020. "Technological change and inequality in the very long run," European Economic Review, Elsevier, vol. 129(C).
    30. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    31. Butler, Alison & Dueker, Michael, 1999. "Does foreign innovation affect domestic wage inequality?," Journal of International Economics, Elsevier, vol. 47(1), pages 61-89, February.
    32. Hartmann, Dominik & Bezerra, Mayra & Lodolo, Beatrice & Pinheiro, Flávio L., 2019. "International trade, development traps, and the core-periphery structure of income inequality," Hohenheim Discussion Papers in Business, Economics and Social Sciences 01-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    33. Shen, Ke & Wang, Feng & Cai, Yong, 2016. "Patterns of inequalities in public transfers by gender in China," The Journal of the Economics of Ageing, Elsevier, vol. 8(C), pages 76-84.
    34. Alvarado, Rafael & Tillaguango, Brayan & López-Sánchez, Michelle & Ponce, Pablo & Işık, Cem, 2021. "Heterogeneous impact of natural resources on income inequality: The role of the shadow economy and human capital index," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 690-704.
    35. Shijun Ding & Laura Meriluoto & W. Robert Reed & Daoyun Tao & Haitao Wu, 2010. "The Impact of Agricultural Technology Adoption of Income Inequality in Rural China," Working Papers in Economics 10/41, University of Canterbury, Department of Economics and Finance.
    36. Canh, Nguyen Phuc & Schinckus, Christophe & Thanh, Su Dinh & Hui Ling, Felicia Chong, 2020. "Effects of the internet, mobile, and land phones on income inequality and The Kuznets curve: Cross country analysis," Telecommunications Policy, Elsevier, vol. 44(10).
    37. Damiaan Persyn & Joakim Westerlund, 2008. "Error-correction–based cointegration tests for panel data," Stata Journal, StataCorp LP, vol. 8(2), pages 232-241, June.
    38. Herwartz, H. & Siedenburg, F., 2008. "Homogenous panel unit root tests under cross sectional dependence: Finite sample modifications and the wild bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 137-150, September.
    39. Law, Siong Hook & Naseem, N.A.M. & Lau, Wei Theng & Trinugroho, Irwan, 2020. "Can innovation improve income inequality? Evidence from panel data," Economic Systems, Elsevier, vol. 44(4).
    40. Bilbiie, Florin O. & Känzig, Diego R. & Surico, Paolo, 2022. "Capital and income inequality: An aggregate-demand complementarity," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 154-169.
    41. Gruber, Lloyd & Kosack, Stephen, 2014. "The tertiary tilt: education and inequality in the developing world," LSE Research Online Documents on Economics 54202, London School of Economics and Political Science, LSE Library.
    42. Hu, Zhining, 2021. "The effect of income inequality on human capital inequality: Evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 471-489.
    43. Rajkumar, Andrew Sunil & Swaroop, Vinaya, 2008. "Public spending and outcomes: Does governance matter?," Journal of Development Economics, Elsevier, vol. 86(1), pages 96-111, April.
    44. Liu, Dan, 2013. "International trade and wage inequality: A non-monotonic relationship," Economics Letters, Elsevier, vol. 121(2), pages 244-246.
    45. Zhang, Xiaobo & Fan, Shenggen, 2004. "Public investment and regional inequality in rural China," Agricultural Economics, Blackwell, vol. 30(2), pages 89-100, March.
    46. Gruber, Lloyd & Kosack, Stephen, 2014. "The Tertiary Tilt: Education and Inequality in the Developing World," World Development, Elsevier, vol. 54(C), pages 253-272.
    47. Guo, Di & Jiang, Kun & Xu, Chenggang & Yang, Xiyi, 2022. "Industrial clustering, income and inequality in rural China," World Development, Elsevier, vol. 154(C).
    48. Álvarez-Gálvez, Javier & Jaime-Castillo, Antonio M., 2018. "The impact of social expenditure on health inequalities in Europe," Social Science & Medicine, Elsevier, vol. 200(C), pages 9-18.
    49. Gyapong, Adwoa Yeboah, 2020. "How and why large scale agricultural land investments do not create long-term employment benefits: A critique of the ‘state’ of labour regulations in Ghana," Land Use Policy, Elsevier, vol. 95(C).
    50. Barua, Alokesh & Ghosh, Priyanta, 2017. "Factor specificity and wage inequality in a developing economy: The role of technology and trade in Indian manufacturing," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 77-90.
    51. Fukiharu, T., 2013. "Income distribution inequality, globalization, and innovation: A general equilibrium simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 117-127.
    52. Mehic, Adrian, 2018. "Industrial employment and income inequality: Evidence from panel data," Structural Change and Economic Dynamics, Elsevier, vol. 45(C), pages 84-93.
    53. Mookherjee, Dilip & Napel, Stefan, 2021. "Welfare rationales for conditionality of cash transfers," Journal of Development Economics, Elsevier, vol. 151(C).
    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. Nasfi Fkili Wahiba & Mahmoudi Dina, 2023. "Technological Change, Growth and Income Inequality," International Journal of Economics and Financial Issues, Econjournals, vol. 13(1), pages 121-131, January.
    2. Rafael Alvarado & Cristian Ortiz & Lizeth Cuesta & Brayan Tillaguango, 2023. "Spillovers impact of institutional and economic factors in energy intensity," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1805-1823, June.
    3. Alvarado, Rafael & Murshed, Muntasir & Cifuentes-Faura, Javier & Işık, Cem & Razib Hossain, Mohammad & Tillaguango, Brayan, 2023. "Nexuses between rent of natural resources, economic complexity, and technological innovation: The roles of GDP, human capital and civil liberties," Resources Policy, Elsevier, vol. 85(PA).

    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. Alvarado, Rafael & Deng, Qiushi & Tillaguango, Brayan & Méndez, Priscila & Bravo, Diana & Chamba, José & Alvarado-Lopez, María & Ahmad, Munir, 2021. "Do economic development and human capital decrease non-renewable energy consumption? Evidence for OECD countries," Energy, Elsevier, vol. 215(PB).
    2. Murshed, Muntasir & Tanha, Muntaha Masud, 2020. "Oil Price Shocks and Renewable Energy Transition: Empirical evidence from net oil-importing South Asian economies," MPRA Paper 100162, University Library of Munich, Germany.
    3. Cuesta, Lizeth & Ruiz, Yomara, 2021. "Efecto de la globalización sobre la desigualdad. Un estudio global para 104 países usando regresiones cuantílicas [Effect of globalization on inequality. A global study for 104 countries using quan," MPRA Paper 111022, University Library of Munich, Germany.
    4. Hussein Moghaddam & Robert M. Kunst, 2023. "The Role of Natural Gas in Mitigating Greenhouse Gas Emissions: The Environmental Kuznets Curve Hypothesis for Major Gas-Producing Countries," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    5. Li, Menghan & Zhang, Kaiyue & Alamri, Ahmad Mohammed & Ageli, Mohammed Moosa & Khan, Numan, 2023. "Resource curse hypothesis and sustainable development: Evaluating the role of renewable energy and R&D," Resources Policy, Elsevier, vol. 81(C).
    6. Li, Xuelin & Yang, Lin, 2023. "Natural resources, remittances and carbon emissions: A Dutch Disease perspective with remittances for South Asia," Resources Policy, Elsevier, vol. 85(PB).
    7. Boundi-Chraki, Fahd & Perrotini-Hernández, Ignacio, 2021. "Absolute cost advantage and sectoral competitiveness: Empirical evidence from NAFTA and the European Union," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 162-173.
    8. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    9. Zheng, Li & Yuan, Ling & Khan, Zeeshan & Badeeb, Ramez Abubakr & Zhang, Leilei, 2023. "How G-7 countries are paving the way for net-zero emissions through energy efficient ecosystem?," Energy Economics, Elsevier, vol. 117(C).
    10. Wang, Xiang & Yin, Jian & Yang, Yao & Muda, Iskandar & Abduvaxitovna, Shamansurova Zilola & AlWadi, Belal Mahmoud & Castillo-Picon, Jorge & Abdul-Samad, Zulkiflee, 2023. "Relationship between the resource curse, Forest management and sustainable development and the importance of R&D Projects," Resources Policy, Elsevier, vol. 85(PA).
    11. Guan, Zepeng & Hossain, Mohammad Razib & Sheikh, Muhammad Ramzan & Khan, Zeeshan & Gu, Xiao, 2023. "Unveiling the interconnectedness between energy-related GHGs and pro-environmental energy technology: Lessons from G-7 economies with MMQR approach," Energy, Elsevier, vol. 281(C).
    12. Liu, Qiang & Zhao, Zhongwei & Liu, Yiran & He, Yao, 2022. "Natural resources commodity prices volatility, economic performance and environment: Evaluating the role of oil rents," Resources Policy, Elsevier, vol. 76(C).
    13. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    14. Tiago Neves Sequeira & Marcelo Santos & Alexandra Ferreira-Lopes, 2017. "Income Inequality, TFP, and Human Capital," The Economic Record, The Economic Society of Australia, vol. 93(300), pages 89-111, March.
    15. Parantap Basu & Yoseph Getachew, 2020. "Redistributive innovation policy, inequality, and efficiency," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(3), pages 532-554, June.
    16. Tao Tang & Brayan Tillaguango & Rafael Alvarado & Ximena Songor-Jaramillo & Priscila Méndez & Stefania Pinzón, 2022. "Heterogeneity in the Causal Link between FDI, Globalization and Human Capital: New Empirical Evidence Using Threshold Regressions," Sustainability, MDPI, vol. 14(14), pages 1-27, July.
    17. Saboori, Behnaz & Gholipour, Hassan F. & Rasoulinezhad, Ehsan & Ranjbar, Omid, 2022. "Renewable energy sources and unemployment rate: Evidence from the US states," Energy Policy, Elsevier, vol. 168(C).
    18. Ma, Qiang & Mentel, Grzegorz & Zhao, Xin & Salahodjaev, Raufhon & Kuldasheva, Zebo, 2022. "Natural resources tax volatility and economic performance: Evaluating the role of digital economy," Resources Policy, Elsevier, vol. 75(C).
    19. Nwani, Chinazaekpere & Usman, Ojonugwa & Okere, Kingsley Ikechukwu & Bekun, Festus Victor, 2023. "Technological pathways to decarbonisation and the role of renewable energy: A study of European countries using consumption-based metrics," Resources Policy, Elsevier, vol. 83(C).
    20. Chletsos Michael & Roupakias Stelios, 2020. "The effect of military spending on income inequality: evidence from NATO countries," Empirical Economics, Springer, vol. 58(3), pages 1305-1337, March.

    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:gam:jsusta:v:14:y:2022:i:14:p:8474-:d:860024. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.