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You searched for subject:(Expansion triangle). Showing records 1 – 2 of 2 total matches.

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Delft University of Technology

1. Boontje, P.S. Empowering the next generation: a German wind & solar energy cooperatives business model research:.

Degree: 2013, Delft University of Technology

During the last years the Netherlands has seen an expansion of civilian-led energy cooperatives which focus on investments into local renewable energy production, energy efficiency services and electricity sales. Although the Dutch renewable energy cooperative boom continues, many are struggling to find the right earnings model and long-term added value for their city or region. To broaden the knowledge of the cooperative sector, this Thesis aims to reveal what elements determine the business models of the German renewable energy cooperatives and which business model typologies can be distinguished. 15 interviews were held with German wind & solar energy cooperatives founded by cooperative banks, municipalities, project developers, utility companies and civilian initiatives. The Thesis found that the business model typologies of German energy cooperatives represent the stabilized cooperatives, developer dependent cooperatives, developer independent cooperatives and developer integrated cooperatives. The faster growing energy cooperatives all effectively applied the following elements: value proposition, network and trust, which have been labeled the expansion triangle. The integration of the four business model types with the expansion triangle revealed that the value proposition represents the vital element for an energy cooperative, with network and trust representing supportive elements. The findings of this Thesis provide interesting insights for actors involved with civilian participation into renewable energy sources. This research allows these actors to understand which business models can be selected and which requirements have to be met to build faster growing energy cooperatives. Advisors/Committee Members: Ten Heuvelhof, E., Scholten, V., Bouwman, H., Dijk, D., Schwencke, A.M..

Subjects/Keywords: Business models; Renewable energy cooperatives; Expansion triangle; Value proposition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Boontje, P. S. (2013). Empowering the next generation: a German wind & solar energy cooperatives business model research:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9bcf0da7-dc08-421f-8bc0-aa522840110d

Chicago Manual of Style (16th Edition):

Boontje, P S. “Empowering the next generation: a German wind & solar energy cooperatives business model research:.” 2013. Masters Thesis, Delft University of Technology. Accessed October 21, 2019. http://resolver.tudelft.nl/uuid:9bcf0da7-dc08-421f-8bc0-aa522840110d.

MLA Handbook (7th Edition):

Boontje, P S. “Empowering the next generation: a German wind & solar energy cooperatives business model research:.” 2013. Web. 21 Oct 2019.

Vancouver:

Boontje PS. Empowering the next generation: a German wind & solar energy cooperatives business model research:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2019 Oct 21]. Available from: http://resolver.tudelft.nl/uuid:9bcf0da7-dc08-421f-8bc0-aa522840110d.

Council of Science Editors:

Boontje PS. Empowering the next generation: a German wind & solar energy cooperatives business model research:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:9bcf0da7-dc08-421f-8bc0-aa522840110d


Australian National University

2. Gao, Guangyuan. Three essays on Bayesian claims reserving methods in general insurance .

Degree: 2016, Australian National University

This thesis investigates the usefulness of Bayesian modelling to claims reserving in general insurance. It can be divided into two parts: Bayesian methodology and Bayesian claims reserving methods. In the first part, we review Bayesian inference and computational methods. Several examples are provided to demonstrate key concepts. Deriving the predictive distribution and incorporating prior information are focused on as two important facets of Bayesian modelling for claims reserving. In the second part, we make the following contributions: 1. Propose a compound model as a stochastic version of the payments per claim incurred method. 2. Introduce the Bayesian basis expansion models and Hamiltonian Monte Carlo method to the claims reserving problem. 3. Use copulas to aggregate the doctor benefit and the hospital benefit in the WorkSafe Victoria scheme. All the Bayesian models proposed are first checked by applying them to simulated data. We estimate the liabilities of outstanding claims arising from the weekly benefit, the doctor benefit and the hospital benefit in the WorkSafe Victoria scheme. We compare our results with those from the PwC report. Except for several Markov chain Monte Carlo algorithms written for the purpose in R and WinBUGS, we largely rely on Stan, a specialized software environment which applies Hamiltonian Monte Carlo method and variational Bayes.

Subjects/Keywords: Claims reserving; Run-off triangle; Bayesian statistics; MCMC; Payments per claim incurred model; Basis expansion model; Copula

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gao, G. (2016). Three essays on Bayesian claims reserving methods in general insurance . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/109191

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gao, Guangyuan. “Three essays on Bayesian claims reserving methods in general insurance .” 2016. Thesis, Australian National University. Accessed October 21, 2019. http://hdl.handle.net/1885/109191.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gao, Guangyuan. “Three essays on Bayesian claims reserving methods in general insurance .” 2016. Web. 21 Oct 2019.

Vancouver:

Gao G. Three essays on Bayesian claims reserving methods in general insurance . [Internet] [Thesis]. Australian National University; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1885/109191.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gao G. Three essays on Bayesian claims reserving methods in general insurance . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/109191

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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