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Cited by 13Intellectual Property and PatentsHousing Market and EconomicsHousing, Finance, and Neoliberalism

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A Comparative Analysis of Patented Technologies Supporting Mortgage and Housing Finance

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Mashetty, Someshwar·2023·Educational Administration: Theory and Practice
DOI 10.53555/kuey.v29i4.9964
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Abstract

In this work, we create new datasets on mortgage technology and housing finance technology patents to support analysis of, innovation in, and trends in housing technology. We use them to summarize findings of general interest on the volume, location and ownership of different housing technology groups and types of patents over time, innovative trends, and policy approaches across countries. In contrast to housing production, through mortgage finance and associated governmental interventions, we find housing consumption outside of what is rented. We also find a fertility pattern of rapid initial growth, followed by the inevitable bursting of a bubble in most countries globally, and perhaps especially China, is evident in housing finance patenting. We compare how mortgage technology innovation has interacted with housing booms and busts in China and the United States. The two countries differ in that patenting is more concentrated in and driven by government funded or funded and subsidized organizations in China than in the United States, which, through more market plumbing and of higher general design quality over a longer period, has rapid and continuous recovery driven by more decentralized patenting. While we find trends in patenting might help support understanding of future trends, we are cautious about their predictive powers, especially for non-mortgage technologies, because the underlying economic choices that drive patenting activity may differ over time, space, and technology types. Finally, we look to the future for patenting activity by identifying mortgage and housing finance technology classes with few patent observations to guide research and policy support

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Research works printed but not linked: 38

  1. [1][1] Venkata Krishna Azith Teja Ganti, Chandrashekar Pandugula,Tulasi Naga Subhash Polineni, Goli Mallesham (2023) Exploring the Intersection of Bioethics and AI-Driven Clinical Decision-Making: Navigating the Ethical Challenges of Deep Learning Applications in Personalized Medicine and Experimental Treatments. Journal of Material Sciences & Manufacturing Research. SRC/JMSMR-230 -
  2. [2][2] Sondinti, K., & Reddy, L. (2023). Optimizing Real-Time Data Processing: Edge and Cloud Computing Integration for Low-Latency Applications in Smart Cities. Available at SSRN 5122027. -
  3. [3][3] Malempati, M., Sriram, H. K., Kaulwar, P. K., Dodda, A., & Challa, S. R. Leveraging Artificial Intelligence for Secure and Efficient Payment Systems: Transforming Financial Transactions, Regulatory Compliance, and Wealth Optimization. -
  4. [4][4] Chava, K. (2023). Generative Neural Models in Healthcare Sampling: Leveraging AI-ML Synergies for Precision-Driven Solutions in Logistics and Fulfillment. Available at SSRN 5135903. -
  5. [6][6] Chakilam, C. (2023). Leveraging AI, ML, and Generative Neural Models to Bridge Gaps in Genetic Therapy Access and Real-Time Resource Allocation. Global Journal of Medical Case Reports, 3(1), 1289. https://doi.org/10.31586/gjmcr.2023.1289 - · DOI
  6. [7][7] Lahari Pandiri, Srinivasarao Paleti, Pallav Kumar Kaulwar, Murali Malempati, & Jeevani Singireddy. (2023). Transforming Financial And Insurance Ecosystems Through Intelligent Automation, Secure Digital Infrastructure, And Advanced Risk Management Strategies. Educational Administration: Theory and Practice, 29(4), 4777 -4793. https://doi.org/10.53555/kuey.v29i4.9669 - · DOI
  7. [9][9] Mahesh Recharla, Sai Teja Nuka, Chaitran Chakilam, Karthik Chava, & Sambasiva Rao Suura. (2023). Next-Generation Technologies for Early Disease Detection and Treatment: Harnessing Intelligent Systems and Genetic Innovations for Improved Patient Outcomes. Journal for ReAttach Therapy and Developmental Diversities, 6(10s(2), 1921 -1937. https://doi.org/10.53555/jrtdd.v6i10s(2).3537 - · DOI
  8. [10][10] Phanish Lakkarasu, Pallav Kumar Kaulwar, Abhishek Dodda, Sneha Singireddy, & Jai Kiran Reddy Burugulla. (2023). Innovative Computational Frameworks for Secure Financial Ecosystems: Integrating Intelligent Automation, Risk Analytics, and Digital Infrastructure. International Journal of Finance (IJFIN) - ABDC Journal Quality List, 36(6), 334-371. -
  9. [11][11] Avinash Pamisetty. (2023). Integration Of Artificial Intelligence And Machine Learning In National Food Service Distribution Networks. Educational Administration: Theory and Practice, 29(4), 4979 -4994. https://doi.org/10.53555/kuey.v29i4.9876 - · DOI
  10. [12][12] Pamisetty, V. (2023). Optimizing Public Service Delivery through AI and ML Driven Predictive Analytics: A Case Study on Taxation, Unclaimed Property, and Vendor Services. International Journal of Finance (IJFIN)-ABDC Journal Quality List, 36(6), 124-149. -
  11. [13][13] Venkata Narasareddy Annapareddy, Anil Lokesh Gadi, Venkata Bhardwaj Komaragiri, Hara Krishna Reddy Koppolu, & Sathya Kannan. (2023). AI-Driven Optimization of Renewable Energy Systems: Enhancing Grid Efficiency and Smart Mobility Through 5G and 6G Network Integration. Educational Administration: Theory and Practice, 29(4), 4748 -4763. https://doi.org/10.53555/kuey.v29i4.9667 - · DOI
  12. [14][14] Someshwar Mashetty. (2023). Revolutionizing Housing Finance with AI-Driven Data Science and Cloud Computing: Optimizing Mortgage Servicing, Underwriting, and Risk Assessment Using Agentic AI and Predictive Analytics. International Journal of Finance (IJFIN) - ABDC Journal Quality List, 36(6), 182209. https://ijfin.com/index.php/ijfn/article/view/IJFIN\_36\_06\_009 -
  13. [15][15] Lahari Pandiri, & Subrahmanyasarma Chitta. (2023). AI-Driven Parametric Insurance Models: The Future of Automated Payouts for Natural Disaster and Climate Risk Management. Journal for ReAttach Therapy and Developmental Diversities, 6(10s(2), 1856 -1868. https://doi.org/10.53555/jrtdd.v6i10s(2).3514 - · DOI
  14. [16][16] Botlagunta Preethish Nandan, & Subrahmanya Sarma Chitta. (2023). Machine Learning Driven Metrology and Defect Detection in Extreme Ultraviolet (EUV) Lithography: A Paradigm Shift in Semiconductor Manufacturing. Educational Administration: Theory and Practice, 29(4), 4555 -4568. https://doi.org/10.53555/kuey.v29i4.9495 - · DOI
  15. [18][18] Srinivasarao Paleti. (2023). Data-First Finance: Architecting Scalable Data Engineering Pipelines for AIPowered Risk Intelligence in Banking. International Journal of Finance (IJFIN) - ABDC Journal Quality List, 36(6), 403-429. -
  16. [19][19] Kaulwar, P. K. (2023). Tax Optimization and Compliance in Global Business Operations: Analyzing the Challenges and Opportunities of International Taxation Policies and Transfer Pricing. International Journal of Finance (IJFIN)-ABDC Journal Quality List, 36(6), 150-181. -
  17. [20][20] Abhishek Dodda. (2023). Digital Trust and Transparency in Fintech: How AI and Blockchain Have Reshaped Consumer Confidence and Institutional Compliance. Educational Administration: Theory and Practice, 29(4), 4921 -4934. https://doi.org/10.53555/kuey.v29i4.9806 - · DOI
  18. [23][23] Malempati, M., Sriram, H. K., Kaulwar, P. K., Dodda, A., & Challa, S. R. Leveraging Artificial Intelligence for Secure and Efficient Payment Systems: Transforming Financial Transactions, Regulatory Compliance, and Wealth Optimization -
  19. [24][24] Phanish Lakkarasu. (2023). Generative AI in Financial Intelligence: Unraveling its Potential in Risk Assessment and Compliance. International Journal of Finance (IJFIN) - ABDC Journal Quality List, 36(6), 241-273. -
  20. [26][26] Sondinti, K., & Reddy, L. (2023). The Socioeconomic Impacts of Financial Literacy Programs on Credit Card Utilization and Debt Management among Millennials and Gen Z Consumers. Available at SSRN 5122023 -
  21. [27][27] Hara Krishna Reddy Koppolu, Venkata Bhardwaj Komaragiri, Venkata Narasareddy Annapareddy, Sai Teja Nuka, & Anil Lokesh Gadi. (2023). Enhancing Digital Connectivity, Smart Transportation, and Sustainable Energy Solutions Through Advanced Computational Models and Secure Network Architectures. Journal for ReAttach Therapy and Developmental Diversities, 6(10s(2), 1905 -1920. https://doi.org/10.53555/jrtdd.v6i10s(2).3535 - · DOI
  22. [29][29] Sriram, H. K. (2023). Harnessing AI Neural Networks and Generative AI for Advanced Customer Engagement: Insights into Loyalty Programs, Marketing Automation, and Real-Time Analytics. Educational Administration: Theory and Practice, 29(4), 4361-4374. -
  23. [30][30] Chava, K. (2023). Revolutionizing Patient Outcomes with AI-Powered Generative Models: A New Paradigm in Specialty Pharmacy and Automated Distribution Systems. Available at SSRN 5136053 -
  24. [31][31] Malviya, R. K., & Kothpalli Sondinti, L. R. (2023). Optimizing Real-Time Data Processing: Edge and Cloud Computing Integration for Low-Latency Applications in Smart Cities. Letters in High Energy Physics, 2023 -
  25. [32][32] Challa, K. (2023). Transforming Travel Benefits through Generative AI: A Machine Learning Perspective on Enhancing Personalized Consumer Experiences. Educational Administration: Theory and Practice. Green Publication. https://doi. org/10.53555/kuey. v29i4, 9241. - · DOI
  26. [34][34] Pamisetty, V. (2023). Intelligent Financial Governance: The Role of AI and Machine Learning in Enhancing Fiscal Impact Analysis and Budget Forecasting for Government Entities. Journal for ReAttach Therapy and Developmental Diversities, 6, 1785-1796. -
  27. [35][35] Pallav Kumar Kaulwar, Avinash Pamisetty, Someshwar Mashetty, Balaji Adusupalli, & Lahari Pandiri. (2023). Harnessing Intelligent Systems and Secure Digital Infrastructure for Optimizing Housing Finance, Risk Mitigation, and Enterprise Supply Networks. International Journal of Finance (IJFIN) - ABDC Journal Quality List, 36(6), 372-402. https://ijfin.com/index.php/ijfn/article/view/IJFIN\_36\_06\_015 -
  28. [36][36] Adusupalli, B. (2023). DevOps-Enabled Tax Intelligence: A Scalable Architecture for Real-Time Compliance in Insurance Advisory. In Journal for Reattach Therapy and Development Diversities. Green Publication. https://doi.org/10.53555/jrtdd.v6i10s(2).358 - · DOI
  29. [37][37] Abhishek Dodda. (2023). NextGen Payment Ecosystems: A Study on the Role of Generative AI in Automating Payment Processing and Enhancing Consumer Trust. International Journal of Finance (IJFIN) -ABDC Journal Quality List, 36(6), 430-463. https://ijfin.com/index.php/ijfn/article/view/IJFIN\_36\_06\_017 -
  30. [38][38] Sneha Singireddy. (2023). Integrating Deep Learning and Machine Learning Algorithms in Insurance Claims Processing: A Study on Enhancing Accuracy, Speed, and Fraud Detection for Policyholders. Educational Administration: Theory and Practice, 29(4), 4764 -4776. https://doi.org/10.53555/kuey.v29i4.9668 - · DOI
  31. [39][39] Sondinti, K., & Reddy, L. (2023). Towards Quantum-Enhanced Cloud Platforms: Bridging Classical and Quantum Computing for Future Workloads. Available at SSRN 5058975 -
  32. [41][41] Vankayalapati, R. K. (2023). Unifying Edge and Cloud Computing: A Framework for Distributed AI and Real-Time Processing. Available at SSRN 5048827. -
  33. [44][44] Sambasiva Rao Suura, Karthik Chava, Mahesh Recharla, & Chaitran Chakilam. (2023). Evaluating Drug Efficacy and Patient Outcomes in Personalized Medicine: The Role of AI-Enhanced Neuroimaging and Digital Transformation in Biopharmaceutical Services. Journal for ReAttach Therapy and Developmental Diversities, 6(10s(2), 1892 -1904. https://doi.org/10.53555/jrtdd.v6i10s(2).3536 - · DOI
  34. [45][45] Murali Malempati, D. P., & Rani, S. (2023). Autonomous AI Ecosystems for Seamless Digital Transactions: Exploring Neural Network-Enhanced Predictive Payment Models. International Journal of Finance (IJFIN), 36(6), 47-69. -
  35. [46][46] Nuka, S. T. (2023). Generative AI for Procedural Efficiency in Interventional Radiology and Vascular Access: Automating Diagnostics and Enhancing Treatment Planning. Journal for ReAttach Therapy and Developmental Diversities. Green Publication. https://doi. org/10.53555/jrtdd. v6i10s (2), 3449 - · DOI
  36. [48][48] Anil Lokesh Gadi. (2023). Engine Heartbeats and Predictive Diagnostics: Leveraging AI, ML, and IoTEnabled Data Pipelines for Real-Time Engine Performance Optimization. International Journal of Finance (IJFIN) -ABDC Journal Quality List, 36(6), 210-240. https://ijfin.com/index.php/ijfn/article/view/IJFIN\_36\_06\_010 -
  37. [50][50] Paleti, S. Transforming Money Transfers and Financial Inclusion: The Impact of AI-Powered Risk Mitigation and Deep Learning-Based Fraud Prevention in Cross-Border Transactions.4907-4920 -
  38. [55][55] Katnapally, N., Murthy, L., & Sakuru, M. (2021). Automating Cyber Threat Response Using Agentic AI and Reinforcement Learning Techniques. J. Electrical Systems, 17(4), 138-148. -

Cited by

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Metadata

Authors
Mashetty, S.
Corresponding author
Mashetty, Someshwar
ORCID
Mashetty, Someshwar
Venue
Educational Administration: Theory and Practice
Publisher
Green Publication
Published
2023
ISSN
1556-5068 (ISSN-L)
DOI
10.53555/kuey.v29i4.9964
OpenAlex
W4410169537
Cited by
13
References
1
Citations by year
2025: 3 · 2023: 9
Type
posted content
Language
en
Open access
Locations
  • SSRN Electronic Journal (publishedVersion)
  • Educational Administration Theory and Practice journal (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Intellectual Property and Patents
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Housing Market and Economics
  • Social Sciences › Economics, Econometrics and Finance › Finance › Housing, Finance, and Neoliberalism
Keywords
housing finance, patents, patent trends, housing bubble, China, United States, housing consumption, housing policy

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Mashetty, S. (2023). A Comparative Analysis of Patented Technologies Supporting Mortgage and Housing Finance. Educational Administration: Theory and Practice. https://doi.org/10.53555/kuey.v29i4.9964

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