Subjects -> BUSINESS AND ECONOMICS (Total: 3541 journals)
    - ACCOUNTING (132 journals)
    - BANKING AND FINANCE (306 journals)
    - BUSINESS AND ECONOMICS (1229 journals)
    - CONSUMER EDUCATION AND PROTECTION (20 journals)
    - COOPERATIVES (4 journals)
    - ECONOMIC SCIENCES: GENERAL (212 journals)
    - ECONOMIC SYSTEMS, THEORIES AND HISTORY (235 journals)
    - FASHION AND CONSUMER TRENDS (20 journals)
    - HUMAN RESOURCES (103 journals)
    - INSURANCE (26 journals)
    - INTERNATIONAL COMMERCE (145 journals)
    - INTERNATIONAL DEVELOPMENT AND AID (103 journals)
    - INVESTMENTS (22 journals)
    - LABOR AND INDUSTRIAL RELATIONS (61 journals)
    - MACROECONOMICS (17 journals)
    - MANAGEMENT (595 journals)
    - MARKETING AND PURCHASING (106 journals)
    - MICROECONOMICS (23 journals)
    - PRODUCTION OF GOODS AND SERVICES (143 journals)
    - PUBLIC FINANCE, TAXATION (37 journals)
    - TRADE AND INDUSTRIAL DIRECTORIES (2 journals)

PRODUCTION OF GOODS AND SERVICES (143 journals)                     

Showing 1 - 137 of 137 Journals sorted alphabetically
Asia Pacific Journal of Marketing and Logistics     Hybrid Journal   (Followers: 8)
Asian Journal of Marketing     Open Access   (Followers: 6)
Australasian Marketing Journal (AMJ)     Hybrid Journal   (Followers: 4)
BMC Health Services Research     Open Access   (Followers: 26)
Capital Markets Law Journal     Hybrid Journal   (Followers: 4)
Cleaner Environmental Systems     Open Access  
Cleaner Production Letters     Hybrid Journal  
Cleaner Waste Systems     Open Access   (Followers: 10)
Consumption Markets & Culture     Hybrid Journal   (Followers: 6)
Customer Needs and Solutions     Hybrid Journal   (Followers: 4)
Direct Marketing An International Journal     Hybrid Journal   (Followers: 4)
Disaster Prevention and Management     Hybrid Journal   (Followers: 27)
Economic & Labour Market Review     Hybrid Journal   (Followers: 13)
Electronic Markets     Hybrid Journal   (Followers: 6)
Emerging Markets Review     Hybrid Journal   (Followers: 10)
European Journal of Marketing     Hybrid Journal   (Followers: 22)
Financial Markets, Institutions & Instruments     Hybrid Journal   (Followers: 38)
Food Packaging and Shelf Life     Hybrid Journal   (Followers: 3)
Foundations and Trends® in Marketing     Full-text available via subscription   (Followers: 12)
Future Business Journal     Open Access   (Followers: 2)
Global Journal of Emerging Market Economies     Hybrid Journal   (Followers: 1)
Health Services and Outcomes Research Methodology     Hybrid Journal   (Followers: 6)
Health Services Management Research     Hybrid Journal   (Followers: 16)
Health Services Research     Hybrid Journal   (Followers: 20)
i+Diseño : Revista científico-académica internacional de Innovación, Investigación y Desarrollo en Diseño     Open Access  
Independent Journal of Management & Production     Open Access   (Followers: 1)
Ingeniería y Competitividad     Open Access  
International Journal of Advanced Operations Management     Hybrid Journal   (Followers: 7)
International Journal of Bank Marketing     Hybrid Journal   (Followers: 4)
International Journal of Business and Emerging Markets     Hybrid Journal   (Followers: 1)
International Journal of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 3)
International Journal of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 5)
International Journal of Emerging Markets     Hybrid Journal   (Followers: 3)
International Journal of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1)
International Journal of Financial Services Management     Hybrid Journal   (Followers: 1)
International Journal of Information Systems and Supply Chain Management     Full-text available via subscription   (Followers: 9)
International Journal of Inventory Research     Hybrid Journal  
International Journal of Lean Six Sigma     Hybrid Journal   (Followers: 8)
International Journal of Logistics Economics and Globalisation     Hybrid Journal   (Followers: 3)
International Journal of Managing Projects in Business     Hybrid Journal   (Followers: 3)
International Journal of Market Research     Hybrid Journal   (Followers: 14)
International Journal of Nonprofit & Voluntary Sector Marketing     Hybrid Journal   (Followers: 7)
International Journal of Pharmaceutical and Healthcare Marketing     Hybrid Journal   (Followers: 4)
International Journal of Planning and Scheduling     Hybrid Journal   (Followers: 2)
International Journal of Product Development     Hybrid Journal   (Followers: 1)
International Journal of Production Economics     Hybrid Journal   (Followers: 19)
International Journal of Production Management and Engineering     Open Access   (Followers: 4)
International Journal of Production Research     Hybrid Journal   (Followers: 13)
International Journal of Productivity and Quality Management     Hybrid Journal   (Followers: 4)
International Journal of Quality and Service Sciences     Hybrid Journal   (Followers: 2)
International Journal of Quality Innovation     Open Access   (Followers: 4)
International Journal of Research in Marketing     Hybrid Journal   (Followers: 17)
International Journal of Service Industry Management     Hybrid Journal   (Followers: 2)
International Journal of Services and Standards     Hybrid Journal   (Followers: 1)
International Journal of Services Operations and Informatics     Hybrid Journal   (Followers: 1)
International Journal of Services Sciences     Hybrid Journal  
International Journal of Supply Chain and Inventory Management     Hybrid Journal   (Followers: 6)
International Journal of Supply Chain and Operations Resilience     Hybrid Journal   (Followers: 2)
International Journal of Supply Chain Management     Open Access   (Followers: 14)
International Journal of Systems Science : Operations & Logistics     Hybrid Journal  
International Journal of Technology Marketing     Hybrid Journal   (Followers: 3)
International Journal of Trade and Global Markets     Hybrid Journal   (Followers: 2)
Internet Reference Services Quarterly     Hybrid Journal   (Followers: 33)
JCMS : Journal of Common Market Studies     Hybrid Journal   (Followers: 50)
Journal of Advances in Management Research     Hybrid Journal   (Followers: 1)
Journal of Benefit-Cost Analysis     Hybrid Journal   (Followers: 2)
Journal of Business & Industrial Marketing     Hybrid Journal   (Followers: 8)
Journal of Business Logistics     Hybrid Journal   (Followers: 8)
Journal of Business Venturing     Hybrid Journal   (Followers: 29)
Journal of Cleaner Production     Hybrid Journal   (Followers: 27)
Journal of Consumer Marketing     Hybrid Journal   (Followers: 19)
Journal of Database Marketing & Customer Strategy Management     Hybrid Journal   (Followers: 5)
Journal of Direct Data and Digital Marketing Practice     Hybrid Journal   (Followers: 7)
Journal of Emerging Knowledge on Emerging Markets     Open Access  
Journal of Entrepreneurial Finance     Open Access   (Followers: 1)
Journal of Financial Markets     Hybrid Journal   (Followers: 28)
Journal of Food Products Marketing     Hybrid Journal   (Followers: 1)
Journal of Foodservice Business Research     Hybrid Journal  
Journal of Global Marketing     Hybrid Journal   (Followers: 3)
Journal of Global Operations and Strategic Sourcing     Hybrid Journal   (Followers: 1)
Journal of Health Services Research and Policy     Hybrid Journal   (Followers: 16)
Journal of International Consumer Marketing     Hybrid Journal   (Followers: 9)
Journal of International Financial Markets, Institutions and Money     Hybrid Journal   (Followers: 19)
Journal of Loss Prevention in the Process Industries     Hybrid Journal   (Followers: 7)
Journal of Marketing     Full-text available via subscription   (Followers: 53)
Journal of Marketing Communications     Hybrid Journal   (Followers: 11)
Journal of Marketing Education     Hybrid Journal   (Followers: 7)
Journal of Marketing Research     Full-text available via subscription   (Followers: 73)
Journal of Nonprofit & Public Sector Marketing     Hybrid Journal   (Followers: 5)
Journal of Operations and Supply Chain Management     Open Access   (Followers: 5)
Journal of Political Marketing     Hybrid Journal   (Followers: 3)
Journal of Prediction Markets     Full-text available via subscription   (Followers: 1)
Journal of Product Innovation Management     Hybrid Journal   (Followers: 23)
Journal of Production Research & Management     Full-text available via subscription   (Followers: 3)
Journal of Productivity Analysis     Hybrid Journal   (Followers: 4)
Journal of Progressive Human Services     Hybrid Journal   (Followers: 1)
Journal of Public Policy & Marketing     Full-text available via subscription   (Followers: 14)
Journal of Relationship Marketing     Hybrid Journal   (Followers: 7)
Journal of Retailing and Consumer Services     Hybrid Journal   (Followers: 5)
Journal of Service Research     Hybrid Journal   (Followers: 6)
Journal of Services Marketing     Hybrid Journal   (Followers: 11)
Journal of Strategic Marketing     Hybrid Journal   (Followers: 9)
Journal of Targeting Measurement and Analysis for Marketing     Hybrid Journal   (Followers: 1)
Journal of Technology Management & Innovation     Open Access   (Followers: 5)
Journal of the Academy of Marketing Science     Hybrid Journal   (Followers: 26)
Journal of Vacation Marketing     Hybrid Journal   (Followers: 2)
Logistics     Open Access   (Followers: 1)
Logistics Journal     Open Access   (Followers: 2)
Management and Administrative Sciences Review     Open Access  
Management and Production Engineering Review     Open Access   (Followers: 1)
Manufacturing & Service Operations Management     Full-text available via subscription   (Followers: 17)
Marketing Intelligence & Planning     Hybrid Journal   (Followers: 4)
Marketing Letters     Hybrid Journal   (Followers: 10)
Marketing Review     Full-text available via subscription  
Marketing Science     Full-text available via subscription   (Followers: 36)
Psychological Services     Full-text available via subscription   (Followers: 4)
Psychology & Marketing     Hybrid Journal   (Followers: 11)
Qualitative Market Research: An International Journal     Hybrid Journal   (Followers: 3)
Quantitative Marketing and Economics     Hybrid Journal   (Followers: 4)
Reproduction Fertility and Development     Hybrid Journal   (Followers: 4)
Review of Pacific Basin Financial Markets and Policies     Hybrid Journal  
Revista Eletrônica Academicus     Open Access  
Revue Interventions économiques     Open Access   (Followers: 1)
Service Business     Hybrid Journal   (Followers: 1)
Service Oriented Computing and Applications     Hybrid Journal   (Followers: 2)
Service Science     Full-text available via subscription   (Followers: 1)
Services Marketing Quarterly     Hybrid Journal   (Followers: 5)
Social Marketing Quarterly     Hybrid Journal   (Followers: 6)
Strategy Management Logistics     Open Access   (Followers: 2)
Supply Chain Forum : an International Journal     Full-text available via subscription   (Followers: 6)
Sustainable Production and Consumption     Full-text available via subscription   (Followers: 1)
Technology Operation Management     Hybrid Journal  
The Journal of Futures Markets     Hybrid Journal   (Followers: 6)
The Service Industries Journal     Hybrid Journal   (Followers: 4)
Universal Journal of Industrial and Business Management     Open Access   (Followers: 1)
Venture Capital: An International Journal of Entrepreneurial Finance     Hybrid Journal   (Followers: 1)
WPOM - Working Papers on Operations Management     Open Access   (Followers: 1)

           

Similar Journals
Journal Cover
Journal of Productivity Analysis
Journal Prestige (SJR): 1.054
Citation Impact (citeScore): 2
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1573-0441 - ISSN (Online) 0895-562X
Published by Springer-Verlag Homepage  [2469 journals]
  • The empirics of granular origins: some challenges and solutions with an
           application to the UK

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      Abstract: Abstract We study the effects of firm-level microeconomic fluctuations on aggregate productivity in the United Kingdom. We show that a standard measure of residual productivity growth of the largest UK firms (the ‘granular residual’) produces results that are partly counter-intuitive and statistically insignificant. To combat this, we propose a refinement to the widely used control function approach to estimating technology shocks in a production function, which is aimed at accounting for firm-level heterogeneity and the potential existence of common shocks. Using this approach, we find that idiosyncratic firm-level shocks matter for the UK; the ‘granular residual’ can explain around 30% of aggregate UK productivity dynamics. We also show that simplifications of our approach, which do not control for firm-level heterogeneity and the existence of common shocks, do not perform well empirically, highlighting the importance of identifying firm-specific shocks correctly in order to properly test the ‘granularity hypothesis’.
      PubDate: 2022-08-04
       
  • A general equilibrium assessment of COVID-19's labor productivity impacts
           on china's regional economies

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      Abstract: Abstract This study introduces a database for analyzing COVID-19’s impacts on China’s regional economies. This database contains various sectoral and regional economic outcomes at the weekly and monthly level. In the context of a general equilibrium trade model, we first formulate a mathematical representation of the Chinese regional economy and calibrate the model with China’s multi-regional input-output table. We then utilize the monthly provincial and sectoral value-added and national trade series to estimate COVID-19’s province-by-month labor-productivity impacts from February 2020 to September 2020. As a year-on-year comparison, relative to February 2019 levels, we find an average 39.5% decrease in labor productivity (equivalent to around 305 million jobs) and an average 25.9% decrease in welfare. Labor productivity and welfare quickly returned to the recent high-growth trends for China in the latter half of 2020. By September 2020, relative to September 2019, average labor productivity increased by 12.2% (equivalent to around 94 million jobs) and average welfare increased by 8.2%.
      PubDate: 2022-07-26
       
  • Do Egocentric information networks influence technical efficiency of
           farmers' Empirical evidence from Ghana

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      Abstract: Abstract We investigate the impact of farmers’ egocentric information network on technical efficiency and its distribution in the network, using observational data of 600 farmers from northern Ghana. We exploit community detection algorithms to endogenously identify homogeneous network communities with known structures to account for spatial heterogeneity, in a spatial stochastic frontier model that controls for social selection bias. The empirical results reveal that at the global network level, farmers’ technical efficiency strongly correlate with that of farmers in their egocentric networks. Our findings also show that farmers who are technically less efficient tend to depend on the more efficient farmers in their networks to improve efficiency. We further find that estimating spatial dependence of technical efficiency without accounting for spatial heterogeneity can lead to underestimation of technical efficiency of high (efficiency score >0.6) performing farmers, while overestimating that of medium (efficiency scores between 0.36–0.5) and low (efficiency scores between 0.1–0.35) performing farmers. The findings suggest that identifying central farmers in egocentric networks and improving their technical knowledge in a farmer-to-farmer extension organization, can contribute to improving the productivity of many farmers.
      PubDate: 2022-07-16
       
  • Investment Inefficiency and Corporate Social Responsibility

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      Abstract: Abstract We demonstrate how earlier approaches to model the impact that corporate social responsibility (CSR) has on investment inefficiency are likely to be incorrect and propose use of the stochastic frontier methodology to model this relationship. We apply the approach to a sample of European listed companies, providing robust evidence that CSR performance is negatively associated with investment inefficiency. This result is consistent with the claim that high CSR firms are characterized by low information asymmetry and high stakeholder solidarity, which may represent a source of competitive advantage, helping to decrease investment inefficiency.
      PubDate: 2022-06-27
       
  • Global Malmquist and cost Malmquist indexes for group comparison

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      Abstract: Abstract The Malmquist index (MI) has demonstrated its usefulness in comparing the performances of Decision Making Units (DMUs) performances. The global MI (GMI) has been suggested as a means to overcome three drawbacks of the MI: non-circularity, disparate measurements, and infeasibility. Recently, it has appeared that the MI can also be used to compare groups of DMUs. While this new function of the index has also increased its usefulness, it presents the same drawbacks as the MI. In this paper, we define the global counterpart of the MI for group contexts. We also consider the case where DMUs have an economic optimization behavior by proposing a global cost MI (GCMI). The GCMI requires the observation of the input prices. As it may represent a strong assumption, we propose solutions. These two novel indexes equip the practitioners with a new toolkit. We illustrate the usefulness of our new indexes with the Chinese energy sector.
      PubDate: 2022-06-08
       
  • Stochastic vs. deterministic frontier distance output function: Evidence
           from Brazilian higher education institutions

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      Abstract: Abstract Using data from the Brazilian Higher Education Census and other public institutions, this study aims to obtain and compare efficiency scores from stochastic frontier analysis (SFA) and data envelopment analysis (DEA) models for 56 Brazilian federal universities for the period of 2010 to 2016. The output distance function includes financial and human resources as inputs, and teaching, research, patents and third mission activities as outputs. The research is innovative considering: (i) the estimation of SFA for Brazilian universities as whole institutions, (ii) its comparison with DEA; and (iii) the inclusion of patents and third mission variables. The findings suggest there is inefficiency in Brazilian higher education production, with a very small increase through time and with some influence from universities and environmental characteristics. Thus, consolidated traditional institutions with university hospitals tend to be more efficient than the younger ones. The values and the rank of the efficiencies are sensitive to the model/method employed, presenting highly significant although modest correlations. In general, the inclusion of third mission activities improves the efficiencies for both approaches, mainly for DEA. Hence, as advised in other international comparative analyses, caution is required when deriving management and policy recommendations from the analytical results.
      PubDate: 2022-05-28
      DOI: 10.1007/s11123-022-00636-1
       
  • Model uncertainty and efficiency measurement in stochastic frontier
           analysis with generalized errors

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      Abstract: Abstract Advanced efficiency measurement methods usually fall within Stochastic Frontier Analysis (SFA), Data Envelopment Analysis (DEA), or their derivatives. Although SFA has some theoretical advantages, it has been criticized for relying on arbitrary and potentially restrictive assumptions about model specification. One strand of the literature suggests the use of nonparametric SF models to cope with the issue. We follow an alternative path and demonstrate that it is possible to deal with specification uncertainty and potentially restrictive assumptions while maintaining the advantages of the parametric approach. First, we develop a flexible stochastic model based on generalized t and generalized beta of second kind distributions, which encompasses virtually all known parametric SFA specifications. Second, we apply Bayesian inference methods, which are less restrictive than those used so far, and propose feasible approximate alternatives based on maximum likelihood. Third, we pool results from alternative specifications using model averaging. Our focus is on the distributional assumptions regarding the compound error in SFA since this aspect has not been addressed so far in a satisfactory way. However, extensions to other elements of specification uncertainty, like the choice of the frontier functional form, are straightforward. Finally, we show simulations results and analyze two well-researched datasets, for which we obtain probabilistic (density) estimates of efficiency scores that take into account the estimation error and model uncertainty in a formally justified manner.
      PubDate: 2022-05-19
      DOI: 10.1007/s11123-022-00639-y
       
  • The productivity growth of euro area banks

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      Abstract: Abstract We study the performance of the banking system in the Eurozone over the period 2006–2017 as measured by total factor productivity growth (TFPG) and its components. We find that Total Factor Productivity growth for the median euro area bank decreased from around 2.6% in 2007 to below 1.7% in 2017, driven mainly by a decline in technical efficiency. In addition, we control for unobserved heterogeneity across banks and disentangle persistent and time-varying inefficiency in the banking sector. This modelling choice is important to avoid distorted and biased inefficiency estimates. We find that cost efficiency in the euro area banking sector amounted to around 84% on average over the 2006 to 2017 period. The largest part of bank inefficiency is persistent, suggesting that structural long-term factors (such as location, client structure, macroeconomic environment, regulation, etc.) play a bigger role than time-varying factors.
      PubDate: 2022-05-07
      DOI: 10.1007/s11123-022-00637-0
       
  • Persistent and transient inefficiency in a spatial autoregressive panel
           stochastic frontier model

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      Abstract: Abstract In this paper, we extend the four-component stochastic frontier model to allow for global spatial dependence via the endogenous spatial autoregressive variable. Our proposed model is more general than the model considered by (Glass et al., 2016) in the sense that we include a random effect as well as a permanent efficiency component. With the spatial autoregressive specification, our model is able to capture the asymmetric efficiency spillovers and also decompose the persistent/transient inefficiencies into direct and indirect efficiencies. Moreover, we also investigate the marginal effects of the exogenous variables on the persistent/transient efficiency. We suggest a maximum simulated likelihood method to estimate the frontier parameters of the model, and we predict the efficiencies using the simulated estimator. Monte Carlo simulations reveal that the suggested estimator performs well in finite samples. An empirical application is considered to illustrate the usefulness of our proposed model and method.
      PubDate: 2022-04-25
      DOI: 10.1007/s11123-022-00638-z
       
  • Elasticity measurement on multiple levels of DEA frontiers: an application
           to agriculture

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      Abstract: Abstract Recently, the elasticity of response measures revealing the marginal characteristics of efficient frontiers have been developed and generalized for different types of DEA production technologies. In theory, the elasticity measures can be calculated for the units on the efficient frontier that satisfy a selective radial efficiency assumption. This corresponds to a subset of the evaluated units. In this research, we propose to extend the elasticity measurement to the entire production possibility set (technology) by stratifying the units to different levels of efficient frontiers. The stratification idea is inspired by the commonly known context-dependent DEA based on the exclusion of efficient units at each iteration and obtaining multiple levels of frontiers. We build the proposed methodology on the idea that a DEA technology theoretically consists of several frontiers and calculating elasticity measures on all frontiers may provide additional information on the returns-to-scale (RTS) characteristics of all the units whether they are on the first-level frontier or not. The proposed methodology is presented in an empirical application using the Farm Accountancy Data Network (FADN) data of the agricultural farms operating in the Aegean Region of Turkey. The results reveal that the proposed method enables us to obtain a wider perspective on the RTS characterizations of DEA production technologies.
      PubDate: 2022-04-25
      DOI: 10.1007/s11123-022-00634-3
       
  • Goodness--of--fit tests for stochastic frontier models based on the
           characteristic function

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      Abstract: Abstract We consider goodness–of–fit tests for the distribution of the composed error in Stochastic Frontier Models. The proposed test statistic utilizes the characteristic function of the composed error term, and is formulated as a weighted integral of properly standardized data. The new test statistic is shown to be consistent and computationally convenient. Simulation results are presented whereby resampling versions of the new tests are compared to classical goodness–of–fit methods.
      PubDate: 2022-03-14
      DOI: 10.1007/s11123-022-00632-5
       
  • Energy intensity improvement and energy productivity changes: an analysis
           of BRICS and G7 countries

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      Abstract: Abstract This research defines the energy intensity target of the contemporaneous metafrontier and global metafrontier in order to assist decision-makers at identifying the efficient energy intensity target. We find that the sources of energy intensity improvement under the global metafrontier are due to three reasons: managerial inefficiency, technology gap inefficiency, and global technology gap inefficiency. In addition, the measurement of the energy intensity target also extends to that of energy productivity changes. The research applies data envelopment analysis (DEA) to empirically study Brazil, Russia, India, China, and South Africa (BRICS) and the Group of Seven (G7) countries and demonstrates that the BRICS group exhibits a larger scope for energy intensity improvement than the G7 group, but that both groups should still pay greater attention to energy technology promotion to improve energy intensity. A win–win strategy for the two groups to achieve this is by fully realizing energy technology transfer from high-tech to low-tech countries.
      PubDate: 2022-03-14
      DOI: 10.1007/s11123-022-00630-7
       
  • Exploring hospital efficiency within and between Italian regions: new
           empirical evidence

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      Abstract: Abstract This paper investigates the efficiency of Italian hospitals and how their performances have changed over the years 2007–2016, characterized by the great economic recession and budget constraints. We apply the Benefit of Doubt (BoD) approach to determine a composite index that considers the multi-dimensionality of the hospital outcome to be used as main output in a metafrontier production function based on a stochastic frontier framework. The efficiency score distribution is then used to construct a Theil index in order to compare, over time, the inequality of the estimated efficiency between hospitals, both within and between regions. The main findings show that the primary source of inefficiency comes from managerial inefficiency especially for hospitals located in southern regions. A clear and persistent North-South gap in efficiency performances of hospitals has been found along with an increase in the inequality in terms of efficiency between the areas of the country mostly determined by between region inequality.
      PubDate: 2022-03-11
      DOI: 10.1007/s11123-022-00633-4
       
  • The structure of production technologies with ratio inputs and outputs

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      Abstract: Abstract Applications of efficiency and productivity analysis in which some inputs and outputs are given in the form of percentages, averages and other types of ratio measures are sufficiently common in the literature. In two recent papers, the authors developed the variable and constant returns-to-scale technologies with both volume and ratio types of inputs and outputs, referred to as the R-VRS and R-CRS technologies. These technologies are generally nonconvex and have a complex structure. In this paper we explore this in detail. We show that the R-VRS technology can be stated as the union of a finite number of specially constructed standard VRS technologies. Similarly, the R-CRS technology in which all ratio inputs and outputs are of the fixed type, which are typically used to represent environmental and quality factors, can be stated as the union of a finite number of partial polyhedral cones. We show that these results have important theoretical, including conceptual, implications.
      PubDate: 2022-03-09
      DOI: 10.1007/s11123-022-00631-6
       
  • The shadow prices of CO2, SO2 and NOx for U.S. coal power industry
           2010–2017: a convex quantile regression method

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      Abstract: Abstract Evaluating shadow prices is critical in devising environmental regulatory policies for pollutants. Compared to traditional frontier estimation methods, this paper uses a recently developed data-driven approach named convex quantile regression, taking both the noise and inefficiency into account and estimating the shadow prices locally. This paper is the first work applying convex quantile regression to jointly evaluate shadow prices of CO2, SO2, and NOx produced by U.S. coal power plants from 2010 to 2017. During this period, five major regulatory provisions were implemented for U.S. coal power plants. We find that the shadow prices of CO2, SO2, and NOx increased from 2010 to 2017. The increase in the shadow price of CO2 is mainly due to the increase in electricity prices, while the increase in shadow prices of SO2 and NOx is mainly due to the successful emission reductions. Moreover, the results show that the CSARP and CSARP Update have significantly increased the shadow prices of SO2 and NOx. However, the relatively lower market allowance prices compared to the shadow prices indicate that society could benefit more if the government could increase the market prices of the pollutants to be more close to the shadow prices.
      PubDate: 2022-02-15
      DOI: 10.1007/s11123-022-00629-0
       
  • Technical efficiency and firm heterogeneity in stochastic frontier models:
           application to smallholder maize farms in Ethiopia

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      Abstract: Abstract This study estimates the technical efficiency measures of maize producing farm households in Ethiopia using stochastic frontier (SF) panel models that take different approaches to model firm heterogeneity. The efficiency measures are found to vary depending on how the estimation model treats both unobserved and observed firm heterogeneity. Estimates from the ‘true’ random effects (TRE) models that treat firm effects as heterogeneity are found to be identical to those from pooled SF models. Those results differ from the ones generated from the basic random effects (RE) models that treat firm effects as part of overall technical inefficiency. The more flexible generalised ‘true’ random effects (GTRE) model that splits the error term into firm effects, persistent inefficiency, transient inefficiency, and a random noise component indicates the presence of higher levels of persistent inefficiency than transient inefficiency. The basic truncated-normal RE model and heteroscedastic RE model yields similar efficiency estimates. The GTRE model predict persistent efficiency measures similar to those from the basic RE and flexible RE model with environmental variables incorporated in the variance function as well as in the deterministic production frontier. These results imply that the RE and GTRE panel models provide reliable efficiency estimates for our data compared to the TRE models. All the estimated SF models generate comparable production function parameters in terms of magnitude and sign. Overall, the results underscore the importance of scrutinising stochastic frontier models for their reliability of analytical results before drawing policy inferences.
      PubDate: 2022-02-10
      DOI: 10.1007/s11123-022-00627-2
       
  • The choice of efficiency benchmarking metric in evaluating firm
           productivity and viability

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      Abstract: Abstract The Debreu–Farrell measure of technical efficiency is widely used to benchmark firm performance. A limitation of this measure is that it is orientation restricted and evaluates the performance of a decision-making unit in an explicit direction relative to the best-practice frontier and not the most productive point on the frontier. Therefore, the measure does not provide policy insight on how to direct decision-making units to achieve the best possible productivity level. Taking a departure from conventional nonparametric benchmarking studies, this study benchmarks the performance of commercial farm businesses in the Western Australia’s wheatbelt region using total factor productivity efficiency (‘TFP efficiency’) and compares the results to those when the conventional technical efficiency measures are applied. We find that the two measures of firm performance differ and are influenced by different sources of firm heterogeneity. Therefore, derived policy insights and prescriptions also differ. This is an important insight that policymakers and practitioners need to be aware of.
      PubDate: 2022-02-09
      DOI: 10.1007/s11123-022-00628-1
       
  • Technical progress and induced innovation in China: a variable profit
           function approach

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      Abstract: Abstract We propose a new methodology to estimate empirically the input price-induced technical change and total factor productivity (TFP) growth in China. Our primary goal is to test Hicks’ induced innovation hypothesis by examining whether technical change in China has been induced by sharp increase in input prices that have accompanied its rapid economic growth. Utilizing the idea of a firm’s two-stage optimization problem, we develop a new parametric form of the variable profit function wherein the derived input demand and output supply functions can be easily constrained to be regular, and the functional structure is parsimonious in the number of parameters. Applying this methodology to Chinese time series data for 1986–2017, we find that not only is wage-induced innovation significant and quantitatively important, but also that it substantially buffered a decline in TFP growth before 2006 that would otherwise be substantial. Overall, we conclude that China’s economic growth is predominantly driven by wage-induced innovation along with massive injection of heavily subsidized physical inputs in public works and huge investment in industrial sectors.
      PubDate: 2022-01-27
      DOI: 10.1007/s11123-021-00626-9
       
  • Environmental efficiency measurement when producers control pollutants
           under heterogeneous conditions: a generalization of the materials balance
           approach

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      Abstract: Abstract This article provides a generalization of the materials balance-based production model introduced by Coelli et al. (2007). Based on this, some new environmental efficiency (EE) measures are presented. The Coelli et al. (2007) EE measure and its extension by Rødseth (2016) produce biased efficiency estimates if the material flow coefficients (MFCs) are heterogeneous across decision-making units and non-discretionary. Furthermore, the Coelli et al. (2007) measure fails to reward emission reductions by emission control. To overcome these shortcomings, this paper proposes production models which allow for heterogeneous MFCs reflecting differences of external environmental factors or non-controllable heterogeneities in inputs and outputs, and which properly take into account emission abatement activities. Based on this, EE measures are provided and decomposed into (i) a part reflecting emission control efficiency (ECE), (ii) a part measuring material input efficiency (MIE), and (iii) a part reflecting the efficient allocation between material and non-material inputs (environmental allocative efficiency, EAE). The approach is illustrated by an empirical application to arable farming in Austria utilizing data from 90 farms for the year 2011. Soil erosion is considered an undesirable output and land a material input. The average EE, ECE, MIE, and EAE are 0.53, 0.96, 0.69, and 0.79, respectively. The results indicate that actual output can be potentially achieved with 47% less soil loss. Most of the potential to improve EE is due to differences in MIE and EAE. Removing inefficiencies in the implementation of existing, subsidized erosion controls allows soil loss to be reduced by 4%.
      PubDate: 2022-01-19
      DOI: 10.1007/s11123-021-00623-y
       
  • Measuring and comparing World Bank regions’ ‘ease of doing business’
           opportunity sets

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      Abstract: Abstract This paper measures and compares the World Bank regions’ opportunity sets to promote ease of doing business for the years 2010 and 2019, as well as the time period 2010–2019. We combine the theoretical framework of Verbunt et al. (2020) and the non-parametric frontier estimation approach as proposed by Van Puyenbroeck and Rogge (2020) to construct and assess (changes in) the regions’ opportunity sets and best practice frontiers. The results reveal considerable differences across World Bank regions in ease of doing business, which decrease over the period of study. By 2019, the regions have grouped into two clusters: the leading high income OECD, Europe and Central Asia, and East Asia and Pacific, and the lagging Middle East and North Africa, Latin America and the Caribbean, South Asia and Sub-Saharan Africa. The results prove to be consistent with the concept of development clustering.
      PubDate: 2022-01-15
      DOI: 10.1007/s11123-021-00624-x
       
 
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