Robust malmquist productivity measurement: evidence from Spanish hotel industry during the Great Recession

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nickolaos G. Tzeremes
Keyword(s):  
Great Recession ◽  
Hotel Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Productivity Measurement ◽  
Content Type ◽  
Crisis Period ◽  
The Great Recession ◽  
Robust Version

PurposeThe purpose of this paper is to provide a robust version of the Malmquist Productivity Index (MPI) in order to evaluate hotels' productivity levels during the Great Recession.Design/methodology/approachBased on the order-m frontiers, we apply a robust version of an MPI. We decompose the productivity into three robust components. We use a sample of hotels operating in the Balearic Islands and Canary Islands, and we decompose and evaluate their productivity levels during the period 2004–2013. Moreover, we evaluate hotels' productivity performance during the pre-crisis period, the US subprime crisis period, the global financial crisis (GFC), the sovereign debt crisis period and the after-crisis period.FindingsOur findings show that productivity did not deteriorate due to the adverse effects of economic crisis. This is mainly driven by increased technical change and the ability to operate at optimal scales. The long-term investment in innovation policies which are related to services and processes, appear to be the dominating feature behind hotels' productivity levels, which helped the hotel industry to recover quickly from the Great Recession.Originality/valueThe vast majority of empirical studies evaluating the productivity change in the hotel industry apply MPIs which are based on data envelopment analysis (DEA). However, the productivity measurement which is based on the nonparametric framework is sensitive to sample characteristics. In order to avoid such shortcomings, we apply a robust version of the MPI.

Measuring total factor productivity change of microfinance institutions in India using Malmquist productivity index

2018 ◽  
Vol 12 (1) ◽  
pp. 105-130 ◽  
Author(s):  
Dilip Ambarkhane ◽  
Ardhendu Shekhar Singh ◽  
Bhama Venkataramani
Keyword(s):  
Total Factor Productivity ◽  
Financial Institutions ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Microfinance Institutions ◽  
Factor Productivity ◽  
Content Type ◽  
The Poor

PurposeMicrofinance institutions (MFIs) provide small loans and other financial services to the poor. These institutions are established for helping the poor to raise income levels and to reduce poverty. Recently, MFIs are required to reduce their dependence on grants and subsidies. Consequently, they face conflicting objectives of improving reach and profitability. These can be achieved by improving productivity. This paper aims to investigate productivity change in 21 major MFIs in India which are rated by Credit Rating and Information Services of India Limited in 2014.Design/methodology/approachThis paper attempts to examine total factor productivity change in 21 major Indian MFIs during the period from 2014 to 2016 using Malmquist productivity index. The inputs and outputs are selected considering objectives of outreach and financial sustainability. The authors have categorized MFIs in three categories, namely, large, medium and small, depending on asset size.FindingsIt is revealed that large MFIs are able to catch up with industry best practices by improving their systems and processes, but they need to improve scale efficiency. The Reserve Bank of India has recently initiated a policy of granting banking licenses to those financial institutions which have good outreach and are financially strong. It can be used for shortlisting MFIs before granting permission to operate as banks. The method can also be used for benchmarking them for productivity. It can also be replicated in other countries.Originality/valueIn India, MFIs are playing important role in economic development by providing microcredit to the poor. However, very few studies have been undertaken regarding productivity of MFIs in India. The present study intends to fill this gap. It will facilitate benchmarking of MFIs as competitive and sustainable financial institutions catering to the requirements of small borrowers.

scholarly journals Productivity growth in the winery sector: evidence from Italy and Spain

2016 ◽  
Vol 28 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Ricardo Sellers-Rubio ◽  
Veronica Alampi Sottini ◽  
Silvio Menghini
Keyword(s):  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Efficiency Change ◽  
Content Type ◽  
Annual Productivity ◽  
Total Productivity ◽  
Low Efficiency ◽  
First Time ◽  
Practical Implications

Purpose – The purpose of this paper is to estimate total productivity change in the winery sector, decomposing it into efficiency change and technical change. Design/methodology/approach – The methodology is based on the estimation of the Malmquist productivity index for a sample of Spanish and Italian wineries between 2005 and 2013. Findings – The results show very low efficiency levels for the wineries under study. Further, Spanish and Italian wineries show a decrease in their average annual productivity for the period of time analysed. Practical implications – The analysis of the efficiency and the productivity of the wineries is crucial to improve their competitiveness and guarantee their survival. Originality/value – For the first time, a comparative analysis is carried out with data from two major wine-producing countries.

Are exporting firms more productive in the Indian textile industry?

2015 ◽  
Vol 19 (4) ◽  
pp. 72-84 ◽  
Author(s):  
Dhwani Gambhir ◽  
Seema Sharma
Keyword(s):  
Textile Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Resource Utilisation ◽  
Scale Efficiency ◽  
Reference Database ◽  
Productivity Change ◽  
Content Type ◽  
Exporting Firms ◽  
Textile Manufacturing

Purpose – This paper aims to study whether exporting enterprises are more productive in export-intensive industries. It also aims to identify the action area and policy direction for enhancing productivity in Indian textile manufacturing. Global integration has increased the volume of international trade. It is crucial for countries to have competitive enterprises to capture a larger share of the global economy. Improvement in productivity performance not only enhances competitiveness but also promotes growth in an economy. Design/methodology/approach – A productivity analysis for the Indian textile manufacturing industry using firm-level panel data is conducted. The data are collected for 160 firms relevant to the period from 2007-2008 to 2012-2013 from Ace Equity database. Using the technique of data envelopment analysis, the output oriented Malmquist productivity index is computed and the sources of productivity change are identified. Also, a comparison between the productivity performance of the exporting and non-exporting firms has been made. Findings – The results suggest that exporting firms are exhibiting better productivity performance and resource utilisation during the study period. Technology change and scale efficiency seem to be the major sources of productivity gain for exporting firms. Research limitations/implications – The research is limited to a single industry, reference database and methodology. There is scope for further in-depth, micro-level research to analyze the differences in drivers of productivity for exporting and non-exporting firms. Originality/value – This paper provides validation to export promotional policies in the Indian textile industry by establishing better productivity performance of exporting firms. It also provides direction for managerial action by identifying efficiency component as the factor pulling down productivity.

scholarly journals Quality of Life, Health and the Great Recession in Spain: Why Older People Matter?

2021 ◽  
Vol 18 (4) ◽  
pp. 2028
Author(s):  
Carla Blázquez-Fernández ◽  
David Cantarero-Prieto ◽  
Marta Pascual-Sáez
Keyword(s):  
Quality Of Life ◽  
Older People ◽  
Great Recession ◽  
Household Income ◽  
Macroeconomic Variables ◽  
Crisis Period ◽  
The Great Recession ◽  
Health Aging ◽  
Logistic Regressions

The financial crisis of 2008 precipitated the “Great Recession”. In this scenario, we took Spain as a country of study, because although it experienced significant negative shocks associated with macroeconomic variables (GDP or unemployment), its welfare indicators have been marked by limited changes. This study used data from waves 2 and 4 (years 2006–2007 and 2010–2012, respectively) of the Survey on Health, Aging and Retirement in Europe (SHARE). Specifically, through logistic regressions we have analysed the effects of socioeconomic, demographic, health and “Great Recession” factors on the quality of life (QoL) of elders in Spain. Although QoL did not change too much during the “Great Recession”, the results confirmed the importance of several factors (such as chronicity) that affect the satisfaction with the QoL among the older people. In this regard, statistically significant effects were obtained for individual exposure to recession. Therefore, a decrease in household income in the crisis period with respect to the pre-crisis period would increase by 44% the probability of reporting a low QoL (OR = 1.44; 95% CI: 1.00–2.07). Furthermore, gender differences were observed. Health and socioeconomic variables are the most significant when determining individual QoL. Therefore, when creating policies, establishing multidisciplinary collaborations is essential.

scholarly journals Unemployment and spell duration during the Great Recession in the EU

2015 ◽  
Vol 36 (2) ◽  
pp. 216-235 ◽  
Author(s):  
Carlos Gradín ◽  
Olga Cantó ◽  
Coral del Río
Keyword(s):  
Great Recession ◽  
Negative Impact ◽  
Labour Force ◽  
Future Research ◽  
Cross Sectional ◽  
Content Type ◽  
The Great Recession ◽  
Unemployment Spells ◽  
Practical Implications ◽  
The Eu

Purpose – The purpose of this paper is to analyze the different dynamic characteristics of unemployment in a selected group of European Union countries during the current Great Recession, which had unequal consequences on employment depending on the country considered. Design/methodology/approach – The paper follows Shorrocks’s proposal of a duration-sensitive measure of unemployment, and uses cross-sectional data reported by Eurostat coming from European Labour Force Surveys. Findings – The results add some evidence on the relevance of incorporating spells’ duration in measuring unemployment, finding remarkable differences in unemployment patterns in time among European countries. Research limitations/implications – In this paper unemployment is analyzed for all the labor force. Future research should investigate patterns across specific groups such as young people, women, immigrants or the low skilled. Practical implications – It is generally accepted that the negative impact of unemployment on individual welfare can be very different depending on its duration. However, conventional statistics on unemployment do not adequately capture to what extent the recession is not only increasing the incidence of unemployment but also its severity in terms of duration in time of ongoing unemployment spells. The paper shows an easy and practical way to do it in order to improve the understanding of the unemployment phenomenon, using information usually reported by statistical offices. Originality/value – First, the paper provides a tool for dynamic analysis of unemployment based on reported cross-sectional data. Second, the paper demonstrates the empirical relevance of considering spells’ duration when assessing differences in unemployment across countries or in unemployment trends. This is usually neglected or only partially addressed by most conventional measures of unemployment.

scholarly journals Measuring the Productivity of Energy Consumption of Major Industries in China: A DEA-Based Method

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Xishuang Han ◽  
Xiaolong Xue ◽  
Jiaoju Ge ◽  
Hengqin Wu ◽  
Chang Su
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Policy Makers ◽  
Time Periods ◽  
Decision Making Units

Data envelopment analysis can be applied to measure the productivity of multiple input and output decision-making units. In addition, the data envelopment analysis-based Malmquist productivity index can be used as a tool for measuring the productivity change during different time periods. In this paper, we use an input-oriented model to measure the energy consumption productivity change from 1999 to 2008 of fourteen industry sectors in China as decision-making units. The results show that there are only four sectors that experienced effective energy consumption throughout the whole reference period. It also shows that these sectors always lie on the efficiency frontier of energy consumption as benchmarks. The other ten sectors experienced inefficiency in some two-year time periods and the productivity changes were not steady. The data envelopment analysis-based Malmquist productivity index provides a good way to measure the energy consumption and can give China's policy makers the information to promote their strategy of sustainable development.

Municipal response to the Great Recession

2018 ◽  
Vol 30 (4) ◽  
pp. 384-401 ◽  
Author(s):  
Cary Christian ◽  
Jonathan Bush
Keyword(s):  
Great Recession ◽  
Rural Areas ◽  
Property Tax ◽  
Research Attention ◽  
Content Type ◽  
Service Levels ◽  
The Great Recession ◽  
Financial Condition ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this paper is to examine the impact of the Great Recession on small- to medium-sized municipalities within the states of Georgia and Florida using a newly developed set of quantitative indices. Design/methodology/approach An examination of the methods and strategies utilized by individual cities to maintain public service levels despite distressed revenues is performed. From the data, performance measures are developed and used to evaluate the efficacy of the various strategies used by the cities. Outcomes of Georgia municipalities were compared to similarly sized Florida municipalities to study how underlying differences in tax structures and economies might have affected those outcomes. Findings Georgia and Florida municipalities relied on very different strategies for surviving the recession and its aftermath. Enterprise activities were critically important in both states with transfers to or from governmental activities rationalized in various ways. While Georgia is generally anti-property tax, more than half the Georgia municipalities relied on property tax increases to survive. Municipalities were unable to count on increased intergovernmental revenues during the recession. Finally, even with a tourist activity advantage, Florida municipalities fared only marginally better during and just after the recession, and fared worse four to six years post-recession. Practical implications The measures developed in this study provide a new, customizable methodology for the evaluation of financial condition that does not require in-depth comparisons to peers. Social implications Small- and medium-sized cities, and especially those in rural areas, are worthy of targeted research to better understand their unique problems. Originality/value This research is novel in utilizing a fiscal condition methodology that can be applied to a single municipality and does not require comparisons to peers for validity. However, it represents a very intuitive and customizable tool for making comparisons between municipalities of any size when such comparisons are desired. Additionally, the focus of this study is on small- to medium-sized municipalities which generally do not receive as much research attention as larger cities.

Are Busy Directors Harmful or Helpful? Evidence from the Great Recession

2018 ◽  
Vol 18 (2) ◽  
Author(s):  
Pradit Withisuphakorn ◽  
Pornsit Jiraporn
Keyword(s):  
Standard Deviation ◽  
Financial Crisis ◽  
Great Recession ◽  
Firm Value ◽  
Costs And Benefits ◽  
Governance Mechanisms ◽  
Great Caution ◽  
Crisis Period ◽  
The Great Recession

Abstract We contribute to the debate on the costs and benefits of busy directors by investigating the effect of busy directors on firm value during a stressful time, i. e. during the Great Recession. Our results show that busy directors improve firm value significantly during the financial crisis. In particular, a rise in directors’ busyness by one standard deviation results in an improvement in Tobin’s q by 6.41 %. Directors with multiple board seats appear to help firms navigate the crisis more successfully, supporting the notion that multiple board seats signal higher quality. Outside the crisis period, however, we find that busy directors reduce firm value, consistent with many prior studies. Our results are crucial as they show that governance mechanisms function differently during stressful times than they do during normal times. Firms should exercise great caution before imposing limits on outside board seats on their directors.

scholarly journals Productivity Change of Microfinance Institutions in Bosnia and Herzegovina

2019 ◽  
Vol 14 (2) ◽  
pp. 23-33
Author(s):  
Velid Efendić ◽  
Nejra Hadžiahmetović
Keyword(s):  
Total Factor Productivity ◽  
Bosnia And Herzegovina ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Microfinance Institutions ◽  
Factor Productivity ◽  
Strategic Objectives ◽  
Average Decrease ◽  
Recent Financial Crisis

Abstract The main aim of this paper is to investigate the productivity changes of microfinance institutions (MFIs) in Bosnia and Herzegovina (BiH) during and after the recent financial crisis. The study covers the period starting from 2008 until 2015. Using the Malmquist Productivity Index (MPI) over the sample of 10 MFIs and a balanced panel dataset of 80 observations, this study explores technical and technological change as well as total factor productivity (TFP) change. The empirical findings indicate a decline in TFP in most of the analyzed periods with an average decrease of 2.5%. The study reveals an average technological decline in the industry of 1.7%, while technical efficiency change is recorded at the level of -0.8%. Overall, crisis efficiency recovery occurred during the period between 2009 and 2013. However, due to technological inefficiencies, average total factor productivity change remains negative. Hence, policy makers need to enhance the technological progress in order to meet their strategic objectives in BiH MFIs.

Productivity growth, catching-up and technology innovation in microfinance institutions in India: evidence using a bootstrap Malmquist Index approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asif Khan ◽  
Rachita Gulati
Keyword(s):  
Productivity Growth ◽  
Productivity Index ◽  
Productivity Change ◽  
Microfinance Institutions ◽  
Truncated Regression ◽  
Content Type ◽  
Tfp Growth ◽  
Catching Up ◽  
Double Bootstrap ◽  
Size Groups

PurposeThis paper aims to examine the total factor productivity (TFP) change and its components: efficiency change and technical change in microfinance institutions (MFIs) in India operating from 2005 to 2018. The study also scrutinizes the variations in productivity levels across the distinct organizational form and size groups of MFIs. In addition to this, the authors identify the contextual factors that determine TFP growth, catching-up and technology innovation in MFIs.Design/methodology/approachThe study employs a smooth homogeneous bootstrap estimation procedure of Simar and Wilson (1999) for obtaining reliable estimates of Malmquist indices –productivity and its components – in a data envelopment analysis (DEA) framework for individual MFIs. In order to identify the determinants of productivity change and its components, the study follows Simar and Wilson's (2007) guidelines and applies a bootstrap truncated regression model. The double bootstrap procedure performs well, both in terms of allowing correct estimation of bias and deriving statistically consistent productivity estimates in the first and root mean square errors in the second stage of the analysis.FindingsThe empirical results reveal that the MFIs have shown average productivity growth of 6.70% during the entire study period. The observed productivity gains are primarily contributed by a larger efficiency increase at the rate of 4.80%, while technical progress occurs at 2.3%. Nonbanking financial companies (NBFC)-MFIs outperformed non-NBFC-MFIs. Small MFIs show the highest TFP growth in terms of size groups, followed by the large MFIs and medium MFIs. The bootstrap truncated regression results suggest that the credit portfolio, size and age of MFIs matter in achieving higher productivity levels.Practical implicationsThe practical implication drawn from the study is that the Indian MFI industry might adopt the latest technology and innovations in the products, risk assessment and credit delivery to improve their productivity levels. The industry must focus on enhancing the managerial skill of its employees to achieve a high productivity level.Originality/valueThis study is perhaps the initial attempt to explain the productivity behavior of MFIs in India by deploying a statistically robust double bootstrap procedure in the DEA-based Malmquist Productivity Index (MPI) framework. The authors estimate the bias-adjusted productivity index and its decompositions, which represent more reliable and statistically consistent estimates. For contextual factors responsible for driving productivity change, the study deploys a bootstrap truncated regression approach.

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