IDEAS home Printed from https://ideas.repec.org/a/abq/ijasd1/v3y2021i4p87-93.html
   My bibliography  Save this article

Analysis of Water Policy & Sustainable Development in Pakistan

Author

Listed:
  • Anila Arif

    (Department of Civil Engineering, Bauhau University,Weimar, Geshcwister-Scholl-Strasse 8, 99423. Weimar, Germany.)

  • Kashif Shafique

    (Department of Geography, government. C. .College (A Chartered University), Gulberg Lahore.)

  • Khuram Ahmad Khan

    (Center for Integrated Mountain Research (CIMR), University of the Punjab, Lahore)

  • Shahida Haji

    (Center for Integrated Mountain Research (CIMR), University of the Punjab, Lahore)

Abstract

Economic output, jobs, household sustenance, and industrial expansion are all influenced by a country's water infrastructure and policy. Water is essential to all aspects of human existence, it is a highly contentious issue. Water policies will be examined in this study utilizing quantitative textual data analysis. To swiftly review massive amounts of data, researchers can use the text mining of these water rules to uncover interconnections and surface important connections between entities. Although inter-regional and inter-state water disputes are identified as a problem, the issue is not addressed in depth in the language of India's water plan. As a result of the importance of the Indus River, Pakistan's strategy in these areas is more cross-cutting and multi-disciplinary. According to the United Nations Sustainable Development Goals (SDGs), Pakistan has to improve its water policy in water-sensitive urban designs, natural-hazard risk management, and mapping of water sector growth. Both governments can benefit from each other's water policies due to these quantitative discoveries

Suggested Citation

  • Anila Arif & Kashif Shafique & Khuram Ahmad Khan & Shahida Haji, 2021. "Analysis of Water Policy & Sustainable Development in Pakistan," International Journal of Agriculture & Sustainable Development, 50sea, vol. 3(4), pages 87-93, November.
  • Handle: RePEc:abq:ijasd1:v:3:y:2021:i:4:p:87-93
    as

    Download full text from publisher

    File URL: https://journal.50sea.com/index.php/IJASD/article/view/431/493
    Download Restriction: no

    File URL: https://journal.50sea.com/index.php/IJASD/article/view/431
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    2. Faheem Aslam & Tahir Mumtaz Awan & Jabir Hussain Syed & Aisha Kashif & Mahwish Parveen, 2020. "Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    3. Sun, Andrew & Lachanski, Michael & Fabozzi, Frank J., 2016. "Trade the tweet: Social media text mining and sparse matrix factorization for stock market prediction," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 272-281.
    4. Alberto Acerbi & Vasileios Lampos & Philip Garnett & R Alexander Bentley, 2013. "The Expression of Emotions in 20th Century Books," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-6, March.
    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. Ahn, Sang-Jin & Yoon, Ho Young & Lee, Young-Joo, 2021. "Text mining as a tool for real-time technology assessment: Application to the cross-national comparative study on artificial organ technology," Technology in Society, Elsevier, vol. 66(C).
    2. Jasper Roe & Mike Perkins, 2023. "‘What they’re not telling you about ChatGPT’: exploring the discourse of AI in UK news media headlines," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    3. Dybowski, T. Philipp & Kempa, Bernd, 2020. "The European Central Bank’s monetary pillar after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 121(C).
    4. Fabienne Kiener & Ann-Sophie Gnehm & Simon Clematide & Uschi Backes-Gellner, 2019. "IT skills in vocational training curricula and labour market outcomes," Economics of Education Working Paper Series 0159, University of Zurich, Department of Business Administration (IBW), revised Sep 2022.
    5. Ballandonne, Matthieu & Cersosimo, Igor, 2022. "Towards a “Text as Data” Approach in the History of Economics: An Application to Adam Smith’s Classics," OSF Preprints mg3zb, Center for Open Science.
    6. Sanders James & Lisi Giulio & Schonhardt-Bailey Cheryl, 2017. "Themes and Topics in Parliamentary Oversight Hearings: A New Direction in Textual Data Analysis," Statistics, Politics and Policy, De Gruyter, vol. 8(2), pages 153-194, December.
    7. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
    8. Wenbo Wang & Hail Park, 2021. "How Vulnerable Are Financial Markets to COVID-19? A Comparative Study of the US and South Korea," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    9. Mehmet Kayakuş, 2024. "Evaluating of the Impact of Ministry of Health Mobile Applications on Corporate Reputation Through User Comments Using Artificial Intelligence," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 12(2), pages 59-74, December.
    10. Brian Fogarty & David Kimball & Lea Kosnik, 2016. "The Media, Voter Fraud, and the 2012 Elections," Working Papers 1012, University of Missouri-St. Louis, Department of Economics.
    11. Shuhei Kitamura, 2023. "Quantifying the Influence of Climate on Human Mind and Culture: Evidence from Visual Art," Papers 2307.15540, arXiv.org, revised Apr 2024.
    12. Luis Vila-Henninger & Claire Dupuy & Virginie Van Ingelgom & Mauro Caprioli & Ferdinand Teuber & Damien Pennetreau & Margherita Bussi & Cal Le Gall, 2024. "Abductive Coding: Theory Building and Qualitative (Re)Analysis," Sociological Methods & Research, , vol. 53(2), pages 968-1001, May.
    13. Latifi, Albina & Naboka-Krell, Viktoriia & Tillmann, Peter & Winker, Peter, 2024. "Fiscal policy in the Bundestag: Textual analysis and macroeconomic effects," European Economic Review, Elsevier, vol. 168(C).
    14. Oto-Peralías, Daniel & Gutiérrez Mora, Dolores, 2021. "Gendered cities: Studying urban gender bias through street names," OSF Preprints b9n4k, Center for Open Science.
    15. Maksym Polyakov & Morteza Chalak & Md. Sayed Iftekhar & Ram Pandit & Sorada Tapsuwan & Fan Zhang & Chunbo Ma, 2018. "Authorship, Collaboration, Topics, and Research Gaps in Environmental and Resource Economics 1991–2015," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 217-239, September.
    16. Heba Ali, 2018. "Twitter, Investor Sentiment and Capital Markets: What Do We Know?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(8), pages 158-158, August.
    17. Jean-Charles Bricongne & Baptiste Meunier & Raquel Caldeira, 2024. "Should Central Banks Care About Text Mining? A Literature Review," Working papers 950, Banque de France.
    18. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    19. Rico H Herzog & Juliana E Gonçalves & Geertje Slingerland & Reinout Kleinhans & Holger Prang & Frances Brazier & Trivik Verma, 2024. "Cities for citizens! Public value spheres for understanding conflicts in urban planning," Urban Studies, Urban Studies Journal Limited, vol. 61(7), pages 1327-1344, May.
    20. repec:plo:pone00:0141922 is not listed on IDEAS
    21. Giebler, Heiko & Meyer, Thomas M. & Wagner, Markus, 2021. "The changing meaning of left and right: supply- and demand-side effects on the perception of party positions," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 31(2), pages 243-262.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:abq:ijasd1:v:3:y:2021:i:4:p:87-93. 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: Iqra Nazeer (email available below). General contact details of provider: .

    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.