Are public state libraries efficient? An empirical assessment using network Data Envelopment Analysis

Guccio, Calogero; Mignosa, Anna; Rizzo, Ilde

doi:10.1016/j.seps.2018.01.001

Cited by 27 publications

(14 citation statements)

References 55 publications

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“…For example, Guajardo [17] evaluated the technical efficiency output of 339 non-profit public libraries in the United States using an output-oriented nondiscretionary DEA model with variable returns to scale and found that the nonprofit public libraries in the United States were moderately inefficient in achieving their program and service outputs. Guccio et al [18] used a network two-stage DEA method to evaluate the protection and use efficiency of ancient books in public state libraries in Italy and found that these libraries had better performance in the protection of ancient books, but their score in the use of ancient books was low. del Barrio et al [19] used the DEA method to evaluate the efficiency of museums in Spain and found that at least half of the museums operated efficiently, with the primary cause for inefficiency being inadequate resource management, while the impact of technological changes was minor.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model

Wang

Chen

2020

Sustainability

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It has been established that culture can contribute to the sustainable development of a country and the world. In China, cultural demands are increasing while cultural resources are relatively scarce. Therefore, this paper evaluates the efficiency of public cultural services in China from 2013 to 2017 and analyzes the major factors affecting this efficiency based on the panel data of 31 provinces, municipalities, and autonomous regions (hereafter referred to as “provinces”) in mainland China. The super-efficiency slacks-based measure (SBM) model in Data Envelopment Analysis (DEA) was adopted. The results show that the efficiency of the public cultural services in each province is significantly different, and the overall efficiency shows a downward trend from 2013 to 2017. The gross domestic product per capita, the education level of the residents, fiscal decentralization, and population density significantly impact public culture service efficiency. Based on these results, the following policy recommendations are proposed: (1) Optimize the input structure of public cultural services and adjust the service direction to satisfy the emerging needs for a more diversified and personalized public with economic development and the improvement of education level; (2) adjust the allocation of public cultural resources nationwide and facilitate the flow of public cultural resources from developed to underdeveloped areas; and (3) provide local governments with higher fiscal autonomy and appropriately introduce the Public-Private Partnership (PPP) model to utilize private capital.

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Section: Literature Reviewmentioning

confidence: 99%

Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model

Wang

Chen

2020

Sustainability

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“…These models calculate efficiency at each stage, whilst simultaneously providing an overall efficiency indicator for each institution. Although network‐DEA has been used to analyze efficiency in other areas such as energy, health, finance or hotels (Avkiran & Tone, 2016) and even cultural heritage institutions such as libraries (Guccio, Mignosa, & Rizzo, 2018) and museums (Del Barrio‐Tellado & Herrero‐Prieto, 2019), to the best of our knowledge, there are still no applications to the performing arts sector, even though the manner in which they conduct their activities and the link between fundraising, cultural production, and final presentation, would seem to advocate their use.…”

Section: Efficiency Evaluation Of Performing Arts: State Of the Artmentioning

confidence: 99%

Audience success or art for art's sake? Efficiency evaluation of dance companies in the United States

Barrio‐Tellado

Prieto

Murray

2020

Nonprofit Mgmnt & Ldrshp

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Our aim is to evaluate the performance of American dance companies, considering that the production process may be subdivided into consecutive stages consisting of fundraising, artistic production, and social impact. A three‐stage network‐Data Envelopment Analysis model is applied which takes account of the links between stages in the form of intermediate inputs/outputs and provides an overall indicator of efficiency together with partial performance indicators in the stages. Given the lack of information for some variables, we previously undertook a process to impute missing values following MICE (multiple imputation by chained equations) procedures. Results show that the highest levels of efficiency are achieved during the cultural creation stage, whereas the lowest correspond to social impact, indicating that dance companies pursue artistic excellence in their cultural programming, irrespective of their activity's commercial outcomes. Moreover, public and private funds are seen to be channeled following this guideline, thereby justifying the non‐profit status of these entities.

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“…Libraries have provided the primary field for such analyses, since a clear distinction may be drawn between the functions controlled by the manager (basically, maintaining and managing the bibliographical collections) and those involving loans and consultation services, which ultimately depend on public interest. Numerous studies have been conducted in this regard, from the seminal works of Vitaliano (1998) and Hammond (2002) up to the more recent works carried out on a sample of Belgian (De Witte and Geys, 2011, 2013), Spanish (Simón et al, 2011), and Italian libraries (Guccio et al, 2018). On the basis of this methodological approach, evaluations have also been performed of other cultural institutions such as archives (Guccio et al, 2014) and cultural heritage agencies (Finocciaro Castro and Rizzo, 2009;Finocciaro Castro et al, 2011;Guccio et al, 2014) although, to the best of our knowledge, no works as yet exist exploring museum efficiency adopting this method.…”

Section: Efficiency Analysis In Museums: State Of the Artmentioning

confidence: 99%

“…This methodological approach has given rise to numerous applications in the field of efficiency evaluation of cultural institutions such as libraries (Vitaliano, 1998;Geys, 2011 andGuccio et al, 2018;Simon et al, 2011); archives , entities devoted to protecting and maintaining cultural heritage (Finocchiaro-Castro and Rizzo, 2009;Finocchiaro-Castro et al, 2011;Guccio et al, 2014), and even efficiency analysis of tourist destinations based on territorial production functions (Cuccia et al, 2016;Herrero and Gómez, 2017;Figueroa et al, 2018;Guccio et al, 2017). However, to the best of our knowledge, and bearing in mind that museums are one of the most commonly explored cultural institutions in efficiency evaluation studies, to date there are no analyses that consider this analytical approach for evaluating efficiency in two stages and gauging the impact of external variables in the case of museums.…”

Section: Introductionmentioning

confidence: 99%

“…This result is also related to the fact that the efficiency values in each model depend on the number of variables considered: three inputs and four outputs for the traditional model, compared to three inputs and one output for the overall efficiency of the network model. In fact, the reliability of the results from DEA models depends on the number of inputs and outputs in the analysis, for a given number of DMUs(Kneip et al, 1998;Guccio et al, 2018) …”

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confidence: 99%

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Modelling museum efficiency in producing inter-reliant outputs

Barrio‐Tellado

Prieto

2019

J Cult Econ

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The aim of this work is to evaluate the performance of a homogeneous state-run network of museums. Non-parametric models are used to measure relative efficiency in these institutions, and we employ a complex production function embracing a number of inputs and outputs adapted to the various functions which museums fulfil: preservation, research, communication, and exhibition. Our approach considers that managers drive certain outputs, but that others escape their control since they are co-produced by visitors and determined by demand conditions and external factors. Based on this, a network two-stage Data Envelopment Analysis (DEA) approach is applied to evaluate museums' overall performance and to distinguish between efficiency in two stages: internal management and external outcomes. The low levels of performance and gaps in the scores from the first to the second stage suggest there are external factors that might determine museum performance. We therefore apply truncated regression models to analyse how and how much certain environmental variables might shape levels of museum efficiency. In this case, we consider indicators such as accessibility, tourism capacity, cultural appeal, museum age and the institutional management model. The application is performed on a sample taken from a Spanish state-run network of museums. Results show that, in general, good levels of efficiency in terms of management do not guarantee success when attracting visitors, and there seems to be a trade-off between the two goals. Variables such as tourism capacity and heritage endowments in the surrounding area, as well as the museum's management model, may determine museums' efficiency levels. The research findings may prove useful for running these cultural institutions and for those responsible for public resource allocation in cultural policies as well as for scholars, who may find a fresh approach for modelling museum efficiency and for discussing drivers of museum management success.

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Are public state libraries efficient? An empirical assessment using network Data Envelopment Analysis

Cited by 27 publications

References 55 publications

Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model

Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model

Audience success or art for art's sake? Efficiency evaluation of dance companies in the United States

Modelling museum efficiency in producing inter-reliant outputs

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