Academic literature on the topic 'Welfare maximization of resident'
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Journal articles on the topic "Welfare maximization of resident"
Song, Zhengna, Tinggan Yan, and Yunjian Ge. "Spatial Equilibrium Allocation of Urban Large Public General Hospitals Based on the Welfare Maximization Principle: A Case Study of Nanjing, China." Sustainability 10, no. 9 (2018): 3024. http://dx.doi.org/10.3390/su10093024.
Full textGoel, Ashish, Adam Meyerson, and Thomas A. Weber. "Fair welfare maximization." Economic Theory 41, no. 3 (2008): 465–94. http://dx.doi.org/10.1007/s00199-008-0406-0.
Full textBrandl, Florian, Felix Brandt, and Johannes Hofbauer. "Welfare maximization entices participation." Games and Economic Behavior 114 (March 2019): 308–14. http://dx.doi.org/10.1016/j.geb.2019.02.008.
Full textBlumrosen, L., and S. Dobzinski. "Welfare Maximization in Congestion Games." IEEE Journal on Selected Areas in Communications 25, no. 6 (2007): 1224–36. http://dx.doi.org/10.1109/jsac.2007.070816.
Full textChen, Xiqun (Michael), Mogeng Yin, Mingzhu Song, Lei Zhang, and Meng Li. "Social Welfare Maximization of Multimodal Transportation." Transportation Research Record: Journal of the Transportation Research Board 2451, no. 1 (2014): 36–49. http://dx.doi.org/10.3141/2451-05.
Full textRoth, Aaron, Aleksandrs Slivkins, Jonathan Ullman, and Zhiwei Steven Wu. "Multidimensional Dynamic Pricing for Welfare Maximization." ACM Transactions on Economics and Computation 8, no. 1 (2020): 1–35. http://dx.doi.org/10.1145/3381527.
Full textBoccard, Nicolas. "Duality of welfare and profit maximization." Economics Letters 113, no. 3 (2011): 215–17. http://dx.doi.org/10.1016/j.econlet.2011.07.010.
Full textDughmi, Shaddin, Nicole Immorlica, and Aaron Roth. "Constrained signaling for welfare and revenue maximization." ACM SIGecom Exchanges 12, no. 1 (2013): 53–56. http://dx.doi.org/10.1145/2509013.2509022.
Full textAmir, Shmuel. "Welfare maximization in economic theory: Another viewpoint." Structural Change and Economic Dynamics 6, no. 3 (1995): 359–76. http://dx.doi.org/10.1016/0954-349x(95)00028-l.
Full textLiu, Tong, and Yanmin Zhu. "Social welfare maximization in participatory smartphone sensing." Computer Networks 73 (November 2014): 195–209. http://dx.doi.org/10.1016/j.comnet.2014.08.014.
Full textDissertations / Theses on the topic "Welfare maximization of resident"
Shackelford, Mia Lynne Lax. "Not So EZ: Evaluating the Effect of California Enterprise Zones on Resident Welfare." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/scripps_theses/1060.
Full textFontenot, Rory. "Welfare Losses from First-Come-First-Serve Course Enrollment: Outcome Estimation and Non-Market Maximization." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2057.
Full textRanjha, Shikha [Verfasser], Wolfgang [Gutachter] Wende, and Irene [Gutachter] Lohaus. "Maintenance of Neighbourhood Parks. : Perspective from Resident Welfare Association Presidents in East Delhi, India. / Shikha Ranjha ; Gutachter: Wolfgang Wende, Irene Lohaus." Dresden : Technische Universität Dresden, 2019. http://d-nb.info/1226942377/34.
Full textOzugur, Ozgur. "Ramsey Pricing In Turkey Postal Services." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/2/669697/index.pdf.
Full textZubo, Rana H. A. "Distribution Network Operation with High Penetration of Renewable Energy Sources. Joint Active/Reactive Power Procurement: A Market-Based Approach for Operation of Distribution Network." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/18267.
Full textMinistry of Higher Education and Scientific Research - Iraq
The selected author's publications, the published versions of which were attached at the end of the thesis, have been removed due to copyright.
Pei-ShengLiu and 劉沛昇. "Selection Model of Government Green Policies toward Social Welfare Maximization." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/41545711537709397670.
Full text國立成功大學
工業與資訊管理學系碩博士班
101
Since the industrial revolution, environmental pollution is getting worse. The earth's ecosystem has been seriously threatened. Many countries put sustainable as a slogan, hoping to reduce the pollution. Green Supply Chain emphasizes environmental protection, and the development of green supply chain becomes more important. However, it needs additional costs. On the other hand, Consumers generally lack motivation to recycle, it makes the recovered material sources uncertain. Governments should develop the appropriate policies to help green supply chain. Only combining environmental protection with economic development can prosper the society. There are many types of green supply chain policies. Governments should select the appropriate policies to help green supply chain to improve its recovery rate, reduce pollutions, and make green supply chain more efficient. In the past, many researches investigate the green supply chain policies, but most of them only discuss the situation on setting a single policy. In addition, some researches confines the object of study to manufacturers and recyclers. Governments should consider using a variety of policies to help green supply chain. To investigate how governments selects the appropriate green policies to help green supply chain. This research use mixed integer programming to establish a green supply chain model with different green policies. According to the research results, the key of the policies choice is whether manufacturing activities have a huge environmental costs. When manufacturing activities is harmful to the environment, governments should select penalty policies to reduce the pollutions. On the contrary, governments should select subsidy policies to stimulate the recovery rate.
Liu, Pang-Cheng, and 劉邦政. "Bi-level Transit Subsidy Programming Models toward Social Welfare Maximization under Ecological Footprint Constraint." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/69468667279075584378.
Full text國立交通大學
交通運輸研究所
98
To achieve transportation sustainability and social welfare, bi-level budget allocation models are proposed, in which the upper level is to maximize the social welfare of trip makers under the constraints of government budget, capacity of transport system, and ecological footprint by allocating budget to subsidize bus users for increasing public transportation patronage and reducing usage of private vehicles and/or to acquire additional green land for accommodating excess footprint. The lower level is to determine the mode choice decisions of all trip makers and the route choice decisions of those who use of private vehicles. Two models are developed and compared: the single generation (SG) model and the across generation (AG) model. The SG model assumes these decisions are made under the consideration of the contemporary generation alone, while the AG model compromises these decisions with the following generation. To investigate the applicability of the model, a case study on an exemplified network is conducted. Results of the SG model show that the measure of bus fare discount and the measure of bus frequency increase can both attract remarkable percentage of bus usage and achieve almost the same social welfare, however, the latter will generate much larger footprint than that of bus fare discount due to the high emission characteristic of buses. The results of the AG model show that the optimal decision of the contemporary generation will compromise its total utility with that of the next generation by intentionally leaving part of budget to the next generation.
Ranjha, Shikha. "Maintenance of Neighbourhood Parks.: Perspective from Resident Welfare Association Presidents in East Delhi, India." 2018. https://tud.qucosa.de/id/qucosa%3A35503.
Full textZubo, Rana H. A., Geev Mokryani, Haile S. Rajamani, Raed A. Abd-Alhameed, and Yim Fun Hu. "Stochastic approach for active and reactive power management in distribution networks." 2017. http://hdl.handle.net/10454/12600.
Full textIn this paper, a stochastic method is proposed to assess the amount of active and reactive power that can be injected/absorbed to/from grid within a distribution market environment. Also, the impact of wind power penetration on the reactive and active distribution-locational marginal prices is investigated. Market-based active and reactive optimal power flow is used to maximize the social welfare considering uncertainties related to wind speed and load demand. The uncertainties are modeled by Scenario-based approach. The proposed model is examined with 16-bus UK generic distribution system.
Supported by the Higher Education Ministry of Iraqi government.
Books on the topic "Welfare maximization of resident"
Subramanian, S. The Quintile Income Statistic and Distributional Analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198812555.003.0005.
Full textKuenzler, Adrian. Abiding Issues. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190698577.003.0002.
Full textCrouch, Colin. The Incompatibles. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805274.003.0012.
Full textBook chapters on the topic "Welfare maximization of resident"
Theil, Henri. "Econometric Models and Welfare Maximization." In Advanced Studies in Theoretical and Applied Econometrics. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2410-2_1.
Full textBreitmoser, Katja, Björn Geißler, and Alexander Martin. "Welfare Maximization of Autarkic Hybrid Energy Systems." In Operations Research Proceedings 2013. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07001-8_10.
Full textLiu, Tong, and Yanmin Zhu. "Social Welfare Maximization in Participatory Smartphone Sensing." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39701-1_29.
Full textJi, Ziwei, Ruta Mehta, and Matus Telgarsky. "Social Welfare and Profit Maximization from Revealed Preferences." In Web and Internet Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04612-5_18.
Full textLu, Pinyan, and Tao Xiao. "Liquid Welfare Maximization in Auctions with Multiple Items." In Algorithmic Game Theory. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66700-3_4.
Full textKim, Anthony. "Welfare Maximization with Deferred Acceptance Auctions in Reallocation Problems." In Algorithms - ESA 2015. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48350-3_67.
Full textVankova, Zvezda, and Dragomir Kolev Draganov. "Migrants’ Access to Social Protection in Bulgaria." In IMISCOE Research Series. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51241-5_4.
Full textHase, Ryo, and Norihiko Shinomiya. "Maximization of Social Welfare in Deregulated Electricity Markets with Intermediaries." In Information Innovation Technology in Smart Cities. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1741-4_20.
Full textBabaioff, Moshe, Kira Goldner, and Yannai A. Gonczarowski. "Bulow-Klemperer-Style Results for Welfare Maximization in Two-Sided Markets." In Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2020. http://dx.doi.org/10.1137/1.9781611975994.150.
Full textLazutka, Romas, and Jekaterina Navicke. "Migrants’ Access to Social Protection in Lithuania." In IMISCOE Research Series. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51241-5_18.
Full textConference papers on the topic "Welfare maximization of resident"
Korula, Nitish, Vahab Mirrokni, and Morteza Zadimoghaddam. "Online Submodular Welfare Maximization." In STOC '15: Symposium on Theory of Computing. ACM, 2015. http://dx.doi.org/10.1145/2746539.2746626.
Full textBlumrosen, Liad, and Shahar Dobzinski. "Welfare maximization in congestion games." In the 7th ACM conference. ACM Press, 2006. http://dx.doi.org/10.1145/1134707.1134714.
Full textAlon, Noga, Noam Nisan, Ran Raz, and Omri Weinstein. "Welfare Maximization with Limited Interaction." In 2015 IEEE 56th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2015. http://dx.doi.org/10.1109/focs.2015.95.
Full textFeige, Uriel, and Rani Izsak. "Welfare maximization and the supermodular degree." In the 4th conference. ACM Press, 2013. http://dx.doi.org/10.1145/2422436.2422466.
Full textRoth, Aaron, Aleksandrs Slivkins, Jonathan Ullman, and Zhiwei Steven Wu. "Multidimensional Dynamic Pricing for Welfare Maximization." In EC '17: ACM Conference on Economics and Computation. ACM, 2017. http://dx.doi.org/10.1145/3033274.3085106.
Full textGollapudi, Sreenivas. "Welfare Maximization in Online Two-sided Marketplaces." In KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2019. http://dx.doi.org/10.1145/3292500.3340417.
Full textBlum, Avrim, Anupam Gupta, Yishay Mansour, and Ankit Sharma. "Welfare and Profit Maximization with Production Costs." In 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2011. http://dx.doi.org/10.1109/focs.2011.68.
Full textKapralov, Michael, Ian Post, and Jan Vondrák. "Online submodular welfare maximization: Greedy is optimal." In Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2013. http://dx.doi.org/10.1137/1.9781611973105.88.
Full textQingwen Zhao and Yanmin Zhu. "Distributed social welfare maximization in vehicular participatory sensing systems." In 2014 IEEE 22nd International Symposium of Quality of Service (IWQoS). IEEE, 2014. http://dx.doi.org/10.1109/iwqos.2014.6914337.
Full textSuzuki, Shinji, and Takehiro Inohara. "Constrained Maximization of Social Welfare with Fiscal Transfer Scheme." In 2016 International Conference on Industrial Engineering, Management Science and Application (ICIMSA). IEEE, 2016. http://dx.doi.org/10.1109/icimsa.2016.7503999.
Full textReports on the topic "Welfare maximization of resident"
Tetenov, Aleksey, and Toru Kitagawa. Who should be treated? Empirical welfare maximization methods for treatment choice. IFS, 2015. http://dx.doi.org/10.1920/wp.cem.2015.1015.
Full textKitagawa, Toru, and Aleksey Tetenov. Who should be treated? Empirical welfare maximization methods for treatment choice. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.2417.
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