Relevant bibliographies by topics / Revenue management

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Revenue management'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Revenue management"

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Specht, Dieter, and Christian M. F. Gruß. "Revenue Management." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 100, no. 4 (April 28, 2005): 192–96. http://dx.doi.org/10.3139/104.100886.

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Yeoman, Ian. "Revenue management." Journal of Revenue and Pricing Management 19, no. 6 (November 16, 2020): 365. http://dx.doi.org/10.1057/s41272-020-00267-x.

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Kimms, A., and R. Klein. "Revenue management." OR Spectrum 29, no. 1 (September 1, 2006): 1–3. http://dx.doi.org/10.1007/s00291-006-0042-7.

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Pinchuk, S. "Revenue management does far more than manage revenues." Journal of Revenue and Pricing Management 1, no. 3 (October 2002): 283–85. http://dx.doi.org/10.1057/palgrave.rpm.5170031.

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Dunleavy, Hugh, and Dieter Westermann. "Future of Revenue Management: Future of airline revenue management." Journal of Revenue and Pricing Management 3, no. 4 (January 2005): 380–83. http://dx.doi.org/10.1057/palgrave.rpm.5170122.

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Stubben, Stephen R. "Discretionary Revenues as a Measure of Earnings Management." Accounting Review 85, no. 2 (March 1, 2010): 695–717. http://dx.doi.org/10.2308/accr.2010.85.2.695.

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ABSTRACT: This study examines the ability of revenue and accrual models to detect simulated and actual earnings management. The results indicate that revenue models are less biased, better specified, and more powerful than commonly used accrual models. Using a simulation procedure, I find that revenue models are more likely than accrual models to detect a combination of revenue and expense manipulation. Using a sample of firms subject to SEC enforcement actions for a mix of revenue- and expense-related misstatements, I find that, although revenue models detect manipulation, accrual models do not. These findings provide support for using measures of discretionary revenues to study earnings management.
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Zha Giedt, Jenny. "Modelling Receivables and Deferred Revenues to Detect Revenue Management." Abacus 54, no. 2 (June 2018): 181–209. http://dx.doi.org/10.1111/abac.12119.

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Dugar-Zhabon, R. S., and E. V. Zemlyakov. "ENTERPRISE REVENUE MANAGEMENT." Modern Technologies and Scientific and Technological Progress 1, no. 1 (April 12, 2019): 315–16. http://dx.doi.org/10.36629/2686-9896/2019-1-1-315-316.

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Kimes, Sheryl E., Richard B. Chase, Summee Choi, Philip Y. Lee, and Elizabeth N. Ngonzi. "Restaurant Revenue Management." Cornell Hotel and Restaurant Administration Quarterly 39, no. 3 (June 1998): 32–39. http://dx.doi.org/10.1177/001088049803900308.

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Bertsimas, Dimitris, and Romy Shioda. "Restaurant Revenue Management." Operations Research 51, no. 3 (June 2003): 472–86. http://dx.doi.org/10.1287/opre.51.3.472.14956.

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Dissertations / Theses on the topic "Revenue management"

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Shioda, Romy 1977. "Restaurant revenue management." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/28250.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2002.
Includes bibliographical references (p. 59-60).
We develop two classes of optimization models in order to maximize revenue in a restaurant, while controlling average waiting time as well as perceived fairness, that may violate the first-come-first-serve (FCFS) rule. In the first class of models, we use integer programming, stochastic programming and approximate dynamic programming methods to decide dynamically when, if at all, to seat an incoming party during the day of operation of a restaurant that does not accept reservations. In a computational study with simulated data, we show that optimization based methods enhance revenle relative to the industry practice of FCFS by 0.11% to 2.22% for low load factors, by 0.16% to 2.96% for medium load factors, and by 7.65% to 13.13% for high load factors, without increasing and occasionally decreasing waiting times compared to FCFS. The second class of models addresses reservations. We propose a two step procedure: use a stochastic gradient algorithm to decide a priori how many reservations to accept for a future time and then use approximate dynamic programming methods to decide dynamically when, if at all, to seat an incoming party during the day of operation. In a computational study involving real data from an Atlanta restaurant, the reservation model improves revenue relative to FCFS by 3.5% for low load factors and 7.3% for high load factors.
by Romy Shioda.
S.M.
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Ciocan, Dragos Florin. "High dimensional revenue management." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/108211.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 149-153).
We present potential solutions to several problems that arise in making revenue management (RM) practical for online advertising and related modern applications. Principally, RM solutions for these problems must contend with (i) highly volatile demand processes that are hard to forecast, and (ii) massive scale that makes even basic optimization problems challenging. Our solutions to these problems are interesting in their own right in the areas of stochastic optimization, high dimensional learning and distributed optimization. In the first part of the thesis, we propose a model predictive control approach to combat volatile demand. This approach is conceptually simple, uses available demand data in a natural way, and, most importantly, can be shown to generate significant revenue advantages on real-world data from ad networks. Under mild restrictions, we prove that our algorithm achieves uniform relative performance guarantees vis-a-vis a clairvoyant in the face of arbitrary volatility, while simultaneously being optimal in the event that volatility is negligible. This is the first result of its kind for model predictive control. While our approach above is effective at hedging demand shocks that occur over "large" time horizons, it relies on the ability to estimate snapshots of the prevailing demand distribution over "short" time horizons. The second part of the thesis deals with learning the extremely high dimensional demand distributions that are typical in display advertising applications. This work exploits the special structure of the display advertising version of the NRM problem to achieve a sample complexity that scales gracefully in the dimensions of the problem. The third part of the thesis focuses on the problem of solving terabyte sized LPs on an hourly basis given a distributed computational infrastructure; solving these massive LPs is the computational primitive required to make our model predictive control approach practical. Here we design a linear optimization algorithm that fits a paradigm for distributed computation referred to as 'Map-Reduce'. An implementation of our solver in a shared memory environment where we can benchmark against solvers such as CPLEX shows that the algorithm outperforms those solvers on the types of LPs that an ad network would have to solve in practice.
by Dragos Florin Ciocan.
Ph. D.
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Uichanco, Joline Ann Villaranda. "Data-driven revenue management." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41728.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2007.
Includes bibliographical references (p. 125-127).
In this thesis, we consider the classical newsvendor model and various important extensions. We do not assume that the demand distribution is known, rather the only information available is a set of independent samples drawn from the demand distribution. In particular, the variants of the model we consider are: the classical profit-maximization newsvendor model, the risk-averse newsvendor model and the price-setting newsvendor model. If the explicit demand distribution is known, then the exact solutions to these models can be found either analytically or numerically via simulation methods. However, in most real-life settings, the demand distribution is not available, and usually there is only historical demand data from past periods. Thus, data-driven approaches are appealing in solving these problems. In this thesis, we evaluate the theoretical and empirical performance of nonparametric and parametric approaches for solving the variants of the newsvendor model assuming partial information on the distribution. For the classical profit-maximization newsvendor model and the risk-averse newsvendor model we describe general non-parametric approaches that do not make any prior assumption on the true demand distribution. We extend and significantly improve previous theoretical bounds on the number of samples required to guarantee with high probability that the data-driven approach provides a near-optimal solution. By near-optimal we mean that the approximate solution performs arbitrarily close to the optimal solution that is computed with respect to the true demand distributions.
(cont.) For the price-setting newsvendor problem, we analyze a previously proposed simulation-based approach for a linear-additive demand model, and again derive bounds on the number of samples required to ensure that the simulation-based approach provides a near-optimal solution. We also perform computational experiments to analyze the empirical performance of these data-driven approaches.
by Joline Ann Villaranda Uichanco.
S.M.
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Githiri, Duncan. "Airline revenue management performance measurement of South African Airways origin-destination revenue management." Thesis, Rhodes University, 2017. http://hdl.handle.net/10962/59188.

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Revenue Management (RM) in the airline industry is the practise of selling fixed capacity as a service over a finite time horizon. The market is characterised by the customers’ willingness to pay different prices for the service. This creates the opportunity to target different customer segments and use price differential to attain the optimal passenger fare mix to maximise revenue. The aim is to maximise revenue and an airline can expect revenue increase of between 3 to 7 percent with the successful implementation of a Revenue Management system. The question of whether the revenue increase can be attributed to the RMS is crucial in determining its level of success and validating the optimisation strategy applied (Rannou and Melli, 2003). South African Airways (SAA) migration from Leg-based optimisation to Origin-Destination (O&D) network based revenue management optimisation created the opportunity for this study to measure and evaluate the RMS performance. Revenue performance measuring tools using inventory systems data to measure RMS performance, ASK (Available Seat Kilometre), RASK (Revenue per Available Seat Kilometre), CASK (Cost per Available Seat Kilometre), RPK (Revenue Passenger Kilometre) and cabin factor yield. The limitations relating to the performance measuring tools utilising inventory system data, is the inability for continuous measurement and the isolation of the impact to revenue due to the RMS on its own. In seeking to gauge the performance of the O&D optimisation, the Revenue Opportunity Model (ROM) is applied. ROM is a post departure measuring tool utilised to continuously measure and isolate the contribution of the RMS on SAA’s O&D network. The revenue opportunity achieved versus the potential revenue was assessed. A revenue comparison of the airlines 2014 and 2015 financial year is performed. The results of the analysis showed the O&D optimisation yielded positive revenue capture on routes that applied the correct optimisation strategy. Recommendations on the optimisation strategy to be applied on routes having average or low revenues captured are presented. The aim is to provide the SAA revenue management department with tangible solutions that would result in increased revenue for the SAA network.
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Zickus, Jeffrey S. (Jeffrey Stuart) 1973. "Forecasting for airline network revenue management : revenue and competitive impacts." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/10103.

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Martens, Tobias von. "Kundenwertorientiertes Revenue-Management im Dienstleistungsbereich." Wiesbaden : Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9503-2.

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Defregger, Florian. "Revenue management for manufacturing companies /." kostenfrei, 2009. http://deposit.d-nb.de/cgi-bin/dokserv?idn=997408154.

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Chen, Lijian. "Stochastic programming in revenue management." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1150314352.

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Thraves, Cortés-Monroy Charles Mark. "New applications in Revenue Management." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112085.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Revenue Management (RM) is an area with important advances in theory and practice in the last thirty years. This thesis presents three different new applications in RM with a focus on: the firms' perspective, the government's perspective as a policy maker, and the consumers' perspective (in terms of welfare). In this thesis, we first present a two-part tariff pricing problem faced by a satellite data provider. We estimate unobserved data with parametric density functions in order to generate instances of the problem. We propose a mixed integer programming formulation for pricing. As the problem is hard to solve, we propose heuristics that make use of the MIP formulation together with intrinsic properties of the problem. Furthermore, we contrast this approach with a dynamic programming approach. Both methodologies outperform the current pricing strategy of the satellite provider, even assuming misspecifications in the assumptions made. Subsequently, we study how the government can encourage green technology adoption through a rebate to consumers. We model this setting as a Stackleberg game where firms interact in a price-setting competing newsvendor problem where the government gives a rebate to consumers in the first stage. We show the trade-off between social welfare when the government decides an adoption target instead of a utilitarian objective. Then, we study the impact of competition and demand uncertainty on the three agents involved: firms, government, and consumers. This thesis recognizes the need to measure consumers' welfare for multiple items under demand uncertainty. As a result, this thesis builds on existing theory in order to incorporate demand uncertainty in Consumer Surplus. In many settings, produced quantities might not meet the realized demand at a given market price. This comes as an obstacle in the computation of consumer surplus. To address this, we define the concept of an allocation rule. In addition, we study the impact of uncertainty on consumers for different demand noise (additive and multiplicative) and for various allocation rules.
by Charles Mark Thraves Cortés-Monroy.
Ph. D.
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Konig, Matthias. "Risk considerations in revenue management." Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547943.

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Books on the topic "Revenue management"

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Yeoman, Ian, and Una McMahon-Beattie, eds. Revenue Management. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230294776.

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Fandel, Günter, and Hans Botho von Portatius, eds. Revenue Management. Wiesbaden: Gabler Verlag, 2005. http://dx.doi.org/10.1007/978-3-663-11304-1.

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Cramer, Curt, and Andreas Thams. Airline Revenue Management. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-33721-6.

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Helmold, Marc. Total Revenue Management. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29773-1.

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Helmold, Marc. Total Revenue Management (TRM). Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46985-6.

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Zatta, Danilo. Revenue Management in Manufacturing. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30240-9.

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Sackey, Jo Ann. Petroleum revenue management manual. Accra: Africa Centre for Energy Policy, 2018.

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Tomczak, Torsten, and Wibke Heidig, eds. Revenue Management aus der Kundenperspektive. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-00735-5.

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von Martens, Tobias. Kundenwertorientiertes Revenue Management im Dienstleistungsbereich. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9503-2.

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Gallego, Guillermo, and Huseyin Topaloglu. Revenue Management and Pricing Analytics. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9606-3.

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Book chapters on the topic "Revenue management"

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van Ryzin, Garrett J., and Kalyan T. Talluri. "Revenue Management." In International Series in Operations Research & Management Science, 599–659. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/0-306-48058-1_16.

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Maglaras, Costis. "Revenue Management." In Encyclopedia of Operations Research and Management Science, 1318–30. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_1153.

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Haugom, Erik. "Revenue management." In Essentials of Pricing Analytics, 178–87. New York: Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9780429345319-11.

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Walczak, Darius, E. Andrew Boyd, and Roxy Cramer. "Revenue Management." In International Series in Operations Research & Management Science, 101–61. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1608-1_3.

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Nickel, Stefan, Claudius Steinhardt, Hans Schlenker, and Wolfgang Burkart. "Revenue Management." In Graduate Texts in Operations Research, 247–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65481-1_15.

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Guilding, Chris, and Kate Mingjie Ji. "Revenue management." In Accounting Essentials for Hospitality Managers, 323–49. 4th ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003183334-16.

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Richard, Brendan M., and William P. Perry. "Revenue management." In Encyclopedia of Tourism, 797–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01384-8_302.

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Kimms, Alf, and Robert Klein. "Revenue Management im Branchenvergleich." In Revenue Management, 1–30. Wiesbaden: Gabler Verlag, 2005. http://dx.doi.org/10.1007/978-3-663-11304-1_1.

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Corsten, Hans, and Ralf Gössinger. "Kapazitätssteuerung im Revenue Management." In Revenue Management, 31–52. Wiesbaden: Gabler Verlag, 2005. http://dx.doi.org/10.1007/978-3-663-11304-1_2.

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Spann, Martin, Joachim Klein, Karim Makhlouf, and Martin Bernhardt. "Interaktive Preismaßnahmen bei Low-Cost-Fluglinien." In Revenue Management, 53–78. Wiesbaden: Gabler Verlag, 2005. http://dx.doi.org/10.1007/978-3-663-11304-1_3.

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Conference papers on the topic "Revenue management"

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Pavić, Ivana, Ivana Mamić Sačer, and Lajoš Žager. "Challenges, Advantages and Disadvantages in Implementation of Ifrs 15 in Different Industries." In 2nd International Conference on Business, Management and Finance. Acavent, 2019. http://dx.doi.org/10.33422/2nd.icbmf.2019.11.769.

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The accounting rules related to revenues’ recognition and measurement have not been changed for many years, and have been listed in International Accounting Standard 18 – Revenues, which has been in use since 1984. Practice has shown that the standard is no longer an adequate basis for revenue recognition and therefore the International Accounting Standards Board (IASB) in cooperation with American FASB has created and published a new accounting standard that addresses the issue of revenue recognition – IFRS 15 – Revenues from Contracts with Customers. This standard supersedes the application of IAS 18 as of January 1, 2018. Since revenue is a very important element in determining the profit or loss of an entity and therefore its performance, preparers of financial statements should pay full attention to accounting principles related to revenues’ recognition and measurement while preparing financial statements. New accounting standard for revenues introduces certain innovations in the field of revenue calculation as well as in time of revenues’ recognition. These changes will have a significant impact on the amount of revenues for certain industries, such as the telecommunications and construction industry, which have significant share of revenues from contracts with customers. The aim of the research is to identify the challenges and problems that appears in the initial phase of application of a new standard on revenues such as; the need to consider a larger volume of documentation, inadequate existing IT infrastructure, multiple sources of documentation that must be considered in revenue recognition, including commercial, legal and financial documentation etc. In addition, we plan to identify benefits form the application of the new standard for the entities preparing the financial statements. In this context, it is expected to identify the sectors that have the most dilemmas in the application of this standard and to propose potential solutions to address these problems.
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Talluri, Kalyan T., Garrett J. van Ryzin, Itir Z. Karaesmen, and Gustavo J. Vulcano. "Revenue management: Models and methods." In 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736064.

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Talluri, Kalyan T., Itir Z. Karaesmen, Garrett J. van Ryzin, and Gustavo J. Vulcano. "Revenue management: Models and methods." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429322.

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Mazaraki, Anatolii, Margaryta Boiko, Myroslava Bosovska, and Mariia Kulyk. "Revenue Management Data Digital Transformation." In 2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES). IEEE, 2022. http://dx.doi.org/10.1109/mees58014.2022.10005639.

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Zeng, Xian-ke, and Yu-qiang Feng. "Sealed-bid multi-attribute reverse auction strategies and revenue analysis." In 2014 International Conference on Management Science and Engineering (ICMSE). IEEE, 2014. http://dx.doi.org/10.1109/icmse.2014.6930229.

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Zulkarnain, Arif, Anita Swantari, and Haryo Wicaksono. "Hotel Revenue Management Implementation in Hotel." In International Conference on Tourism, Gastronomy, and Tourist Destination (ICTGTD 2016). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ictgtd-16.2017.44.

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Maneesophon, Panaratch, and Naragain Phumchusri. "OVERBOOKING MODELS FOR HOTEL REVENUE MANAGEMENT." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2013. http://dx.doi.org/10.32738/ceppm.201310.0074.

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Jie Seah, Samuel Wei, Detlev Remy, and Malcolm Yoke Hean Low. "Hotel Revenue Management Simulation System (HRMSS)." In 2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE, 2019. http://dx.doi.org/10.1109/snpd46140.2019.9132976.

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Wei, Wei, and Hoffer Lee. "Hotel Revenue Management Theories and Applications." In 2009 International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2009. http://dx.doi.org/10.1109/bife.2009.195.

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"CONTINUOUS-TIME REVENUE MANAGEMENT IN CARPARKS." In 1st International Conference on Operations Research and Enterprise Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003762800730082.

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Reports on the topic "Revenue management"

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Edjekumhene, Ishmael, Maarten Voors, Päivi Lujala, Christa Brunnschweiler, Charles Kofi Owusu, and Andy Nyamekye. Impacts of key provisions in Ghana’s Petroleum Revenue Management Act. International Initiative for Impact Evaluation (3ie), March 2019. http://dx.doi.org/10.23846/tw8ie94.

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Wyatt, Alan. Non-Revenue Water: Financial Model for Optimal Management in Developing Countries. Research Triangle Park, NC: RTI Press, June 2010. http://dx.doi.org/10.3768/rtipress.2010.mr.0018.1006.

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Mayega, Jova, Ronald Waiswa, Jane Nabuyondo, and Milly Nalukwago Isingoma. How Clean Are Our Taxpayer Returns? Data Management in Uganda Revenue Authority. Institute of Development Studies (IDS), April 2021. http://dx.doi.org/10.19088/ictd.2021.007.

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The paper assesses the cleanliness of taxpayer returns at the Uganda Revenue Authority (URA) in terms of: (a) completeness – the extent to which taxpayers submit all the required information as specified in the return forms; (b) accuracy – the extent to which the submitted information is correct; (c) consistency – the extent to which taxpayers submit similar information in cases where the same information is required in different types of tax returns, or submitted in the same type of tax return, but for different time periods; and (d) permanence – the extent to which the returns are likely to be later modified by taxpayers.
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Allen, Julia H., Gregory Crabb, Pamela D. Curtis, Nader Mehravari, and David W. White. CERT Resilience Management Model - Mail-Specific Process Areas: Mail Revenue Assurance (Version 1.0). Fort Belvoir, VA: Defense Technical Information Center, August 2014. http://dx.doi.org/10.21236/ada610098.

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Price, Roz. Taxation and Public Financial Management of Mining Revenue in the Democratic Republic of Congo. Institute of Development Studies (IDS), October 2021. http://dx.doi.org/10.19088/k4d.2021.144.

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This rapid review provides a summary of the evidence on the taxation and public financial management of mining revenues in the Democratic Republic of Congo (DRC). This is a very complex topic, with a large and growing literature base, a huge interest by donors, non-governmental organisations and businesses, with some conflicting information at times. In particular, specific data on provincial budgets and spending was not identified during this review. No specific information on public financial management in either of these provinces was identified during the course of this review. Given the burgeoning size of the literature base and the complexity of the mining sector in the DRC, this rapid review only provides a snapshot of the literature. It draws on academic, grey and donor literature sources. Some papers for further reading are highlighted. The report first provides a brief background discussion of general taxation in the DRC, the decentralisation process, and provincial public revenue management. The next section provides general information on the mining sector in the DRC, including the regulatory system and official duties, royalties and tax provisions. Section 4 goes into more detail about taxation and rent-seeking in the mining sector, touching on both large-scale mining (LSM) and artisanal and small-scale mining (ASM). The next section looks at smuggling of minerals in the DRC, with a focus on gold. Finally, some specific lessons learned were drawn from two World Bank projects and highlighted in the final section. Lessons and experiences from other mining-related projects are also highlighted throughout the report. Literature in French was not included in this rapid review, which may mean that some key documents were omitted.
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Seroa da Motta, Ronaldo. Application of Economic Instruments for Environmental Management: From Theoretical to Practical Constraints: Literature Review and Conceptual Notes. Inter-American Development Bank, February 2003. http://dx.doi.org/10.18235/0006683.

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This presentation was commissioned by the Environment Network of the Regional Policy Dialogue for the II Hemispheric Meeting celebrated on February 25th and 26th, 2003. Three distinct criteria: Achievement of the optimal use level: to maximize social welfare achieving an optimum use/pollution level. Improvement of cost-effectiveness: to minimize social costs at a certain use/pollution target. Generation of revenue: to raise enough revenue to meet a certain budget requirement.
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Quak, Evert-jan. Missing the Forest for the Trees: Ekiti State’s Quest for Forestry Revenue and its Impact on Forest Management. Institute of Development Studies, July 2024. http://dx.doi.org/10.19088/ictd.2024.078.

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Effective forest management is required to reduce deforestation, protect local communities, tackle climate change, and restore biodiversity. Like other countries in sub-Saharan Africa (SSA), Nigerian federal and decentralised governments have to find a balance between managing their forests sustainably, and other demands for the trees and land. Local actors use the forest for economic activities, such as harvesting trees for charcoal or timber, and others want to expand agricultural land. No single policy solution can guarantee to sustainably manage forests and halt deforestation. Land use regulations, stronger control of forestry industry practices, more public investment in forest management, and better tax and subsidy policies, must all play a role. This paper assesses the current forestry tax regime in Ekiti State, one of eight Nigerian states where forests represent more than 50 per cent of land area, and where forest revenue has been historically relevant. Based on 16 interviews with government state officials, forest officers, and actors from the industry, and data from the Ekiti Forestry Commission, our analysis suggests that ongoing depletion of forest resources is partially connected to an excessive focus on their capacity to generate revenue. The conceptualisation of the Forestry Commission as a revenue-raising rather than management agency, a continuous drive to extract revenue from the sector through outdated tax rates, and a view of industry potential disconnected from the existing stock, all perversely led to a lower contribution from forestry to the state budget.
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Qiao, Baoyun, Xiaoqin Fan, Hanif Rahemtulla, Hans van Rijn, and Lina Li. Critical Issues for Fiscal Reform in the People’s Republic of China Part 1: Revenue and Expenditure Management. Asian Development Bank, December 2022. http://dx.doi.org/10.22617/wps220575-2.

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This paper examines revenue and expenditure management in the People’s Republic of China (PRC) and recommends ways to cut risk and strengthen the resilience of the fiscal system. The paper outlines the PRC’s fiscal reforms and the impact of COVID-19. It notes the financing gap facing subnational governments that play a key role in providing public investment in infrastructure. The authors discuss the PRC’s need to adjust its focus on economic growth to tackle its fiscal imbalance, improve the sustainability of local government finances, and address inequality and environmental degradation. This paper is the first of two on key aspects of fiscal reform in the PRC.
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Beverinotti, Javier, Gustavo Canavire-Bacarreza, María Cecilia Deza, and Lyliana Gayoso de Ervin. The Effects of Management Practices on Effective Tax Rates: Evidence from Ecuador. Inter-American Development Bank, August 2021. http://dx.doi.org/10.18235/0003505.

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This paper examines the effects of management practices on effective tax rates (ETR) in a sample of medium and large manufacturing firms in Ecuador. We use a novel data set on management practice scores matched with administrative tax data from the Superintendence of Companies and the Internal Revenue Services of Ecuador based on firms' tax filings. We find that better management practices are positively associated with effective tax rates, defined as the share of tax obligations to profits. This result is robust under various specifications controlling for different covariates, and to different measures of effective tax rates. Furthermore, our findings indicate that the use of fiscal incentives is positively associated with higher effective tax rates. However, firms that use fiscal incentives are able to fatten or reduce their effective tax rates as management practices improved. Overall, our findings suggest that government-sponsored policies that seek to promote better management practices may be self-sustained, if the additional tax revenue expected from better management practices through higher profits is able to cover the cost of the programs.
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Occhiali, Giovanni, and Michael Falade. Missing the Forest for the Trees: Ekiti State’s Quest for Forestry Revenue and its Impact on Forest Management. Institute of Development Studies, August 2023. http://dx.doi.org/10.19088/ictd.2023.039.

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Forests are important socio-economic assets in many low-income countries. However, they are often over-exploited as governments do not sufficiently valorise them, including by taxing them inefficiently. This is the case across Nigeria, where forest management and taxation has been effectively decentralised from the federal government to individual states. In this paper we assess the current forestry tax regime in Ekiti State, one of the eight Nigerian states where forests represent more than 50 per cent of land area, and where forest revenue has been historically relevant. Based on 16 interviews with government state officials, forest officers and actors from the industry, as well as data from the Forestry Commission, our analysis suggests that the ongoing depletion of forest resources in the state seems to be partially connected to an excessive focus on their capacity to generate revenue. The conceptualisation of the Ekiti State Forestry Commission as a revenue-raising agency rather than a management one, a continuous drive to extract revenue from the sector through outdated tax rates, and a view of the industry potential disconnected from the existing stock, all perversely led to a lower contribution from forestry to the state budget. While there is potential to reform both the structure of forestry taxes and their method of administration, evidence from our interviews suggests that priority should be given to enforcing a ban on forest exploitation for a period that is long enough to allow for its regrowth, at least in government reserves. This will require substantial sensitisation and engagement with actors in the sector, as well as increasing the monitoring capacity of the Forestry Commission. The Forestry Commission does not currently have enough staff to guarantee the enforcement of existing legislation, let alone a ban on all forest activities.
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