Maximizing Medicine Access through Trade Credit Optimization in Subsidized Fixed-Price Markets

preprint OA: closed
📄 Open PDF Full text JSON View at publisher

Abstract

In regulated pharmaceutical markets similar to Canada, Japan, and Iran, government-determined fixed prices, permits for multiple producers, and subsidies support public health by ensuring medication availability and fostering social equity. However, intense competition driven by fixed pricing and profit motives, in the end leading to bankruptcies among supply chain members, undermines access to medicines. Although this fixed-price tampering, producers frequently rely on trade credit while overlooking wider financial streams, aggravating supply issues and access barriers. This oversight leads to distribution interruptions and diminishes medicine supply. Diverging from previous research centered on physical logistics, this study emphasizes financial currents and introduces a decision-aid framework for a two-stage pharmaceutical supply chain with temperature-sensitive perishability. The framework refines trade credit levels to boost overall supply chain earnings under fixed-price and subsidy-backed conditions, fostering collaboration among stakeholders. Validated against centralized and decentralized scenarios, the optimal discount rate strengthens chain stability. Results measure the trade credit required to stabilize financial currents, reduce access constraints, and ensure medicine availability, providing practical guidance for policymakers and administrators in subsidized fixed-price markets.
Full text 6,818 characters · extracted from preprint-html · click to expand
Maximizing Medicine Access through Trade Credit Optimization in Subsidized Fixed-Price Markets | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 11 August 2025 V1 Latest version Share on Maximizing Medicine Access through Trade Credit Optimization in Subsidized Fixed-Price Markets Authors : Farnoush Otrodi 0000-0002-7890-4996 , Hassan Khademi Zare [email protected] , Yahya Zare Mehrjardi , and Mohammad Bagher Fakhrzad Authors Info & Affiliations https://doi.org/10.22541/au.175489038.81543204/v1 125 views 57 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract In regulated pharmaceutical markets similar to Canada, Japan, and Iran, government-determined fixed prices, permits for multiple producers, and subsidies support public health by ensuring medication availability and fostering social equity. However, intense competition driven by fixed pricing and profit motives, in the end leading to bankruptcies among supply chain members, undermines access to medicines. Although this fixed-price tampering, producers frequently rely on trade credit while overlooking wider financial streams, aggravating supply issues and access barriers. This oversight leads to distribution interruptions and diminishes medicine supply. Diverging from previous research centered on physical logistics, this study emphasizes financial currents and introduces a decision-aid framework for a two-stage pharmaceutical supply chain with temperature-sensitive perishability. The framework refines trade credit levels to boost overall supply chain earnings under fixed-price and subsidy-backed conditions, fostering collaboration among stakeholders. Validated against centralized and decentralized scenarios, the optimal discount rate strengthens chain stability. Results measure the trade credit required to stabilize financial currents, reduce access constraints, and ensure medicine availability, providing practical guidance for policymakers and administrators in subsidized fixed-price markets. Supplementary Material File (maximizing medicine access through trade credit optimization in subsidized fixed-price markets.docx) Download 210.36 KB Information & Authors Information Version history V1 Version 1 11 August 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords coordination mechanisms fixed pricing government intervention pharmaceutical supply chain subsidies Authors Affiliations Farnoush Otrodi 0000-0002-7890-4996 Yazd University View all articles by this author Hassan Khademi Zare [email protected] Yazd University View all articles by this author Yahya Zare Mehrjardi Yazd University View all articles by this author Mohammad Bagher Fakhrzad Yazd University View all articles by this author Metrics & Citations Metrics Article Usage 125 views 57 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Farnoush Otrodi, Hassan Khademi Zare, Yahya Zare Mehrjardi, et al. Maximizing Medicine Access through Trade Credit Optimization in Subsidized Fixed-Price Markets. Authorea . 11 August 2025. DOI: https://doi.org/10.22541/au.175489038.81543204/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.175489038.81543204/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'a0044e518eca0db4',t:'MTc3OTU0MTg4MA=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-06-05T02:00:03.366016+00:00