scholarly journals The impacts of in-state procurement preference policies on the economy of South Carolina

2018 ◽  
Vol 18 (3) ◽  
pp. 240-256 ◽  
Author(s):  
Sawsan Abutabenjeh ◽  
Stephen Gordon ◽  
Berhanu Mengistu
Keyword(s):  
South Carolina ◽  
Value Added ◽  
The State ◽  
Personal Income ◽  
Economic Indicators ◽  
Total Output ◽  
Content Type ◽  
Gross State Product ◽  
State Preference ◽  
The Impact

Purpose This paper aims to answer the question: What are the impacts of implementing in-state procurement preference policies on the economy of the state of South Carolina? Design/methodology/approach Toevaluate the impacts, the following six economic indicators were analyzed: jobs, personal income, real disposable income, output (sales), gross state product and value added. The data were collected from the South Carolina Procurement Services Office and were then analyzed using the Regional Economic Model Policy Insight (REMI PI+) for economic forecasting and policy analysis. The results from the REMI PI+ showed that implementing in-state preference policies benefitted the state and its communities economically. Findings Specifically, from 2010 until 2017, the total economic impact of implementing preference policies generated $17m in total output, 135 total job-years, $10.22m in gross state product (GSP), $10.27m in value added, $7.52m in income and $5.14m in real disposable personal income. The impact on the wholesale trade industry was over $5m in total industry output and approximately 27 jobs-years. In the manufacturing sector, the total impact was over $4m in output and approximately 17 jobs-years. The impact on the construction industry was approximately $3m in output and approximately 30 jobs-years. Although the values of these economic indicators were very small compared to the size of the state economy, they did outweigh the direct cost of implementing preference policies, thus demonstrating that overall the in-state preference policies contributed to South Carolina’s economy. However, further research is warranted to identify more precisely the benefits and costs of implementing preference policies.

Socioeconomic effects of pension spending: evidence from Spain

2020 ◽  
Vol 47 (5) ◽  
pp. 599-617
Author(s):  
Fernando Bermejo ◽  
Eladio Febrero ◽  
Andre Fernandes Tomon Avelino
Keyword(s):  
Peer Review ◽  
Social Protection ◽  
Pension System ◽  
Decomposition Analysis ◽  
Value Added ◽  
Total Output ◽  
Alternative View ◽  
Input Output ◽  
Structural Decomposition Analysis ◽  
Content Type

PurposeThe purpose of this study is to provide broader understanding of the significant role that the pension system has in the Spanish economy by estimating the sectoral production, employment and income sustained by pensioners' consumption.Design/methodology/approachBased on input–output tables by the World Input–Output Database and consumption data from the Household Budget Survey by the Spanish Statistical Office, a demoeconomic model is applied to quantify the direct impacts, indirect impacts from interindustry links and induced impacts from income–consumption connections over a nine-year period (2006–2014). Then, the factors driving the evolution of total output, employment and value added during such period have been examined by using structural decomposition analysis.FindingsThe growing participation of consumption by pensioner households in final demand had proven crucial during the 2008 crisis to alleviate the negative trend in production and employment derived from the collapse in consumption suffered by the rest of households.Practical implicationsDetermining the underlying factors driving changes in both employment and income during the 2008 crisis can be of interest in political decision-making on the sustainability of the Spanish pension system.Social implicationsThe results of estimating both the employment and income supported by pensioners' consumption reveal the significant stabilizing effect of the public spending on pensions, particularly during the 2008 crisis.Originality/valueThe current Spanish approach of attaining the pension system sustainability by merely reducing social protection costs ignores the adverse consequences of a lower pensioners' demand. This paper addresses an alternative view in which pension spending is not considered a burden on economic growth but rather a means of improving the level of production and employment.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2019-0047

The impact of labor freedom on geographic cost of living differentials

2017 ◽  
Vol 6 (3) ◽  
pp. 385-395
Author(s):  
Richard Cebula ◽  
James E. Payne ◽  
Donnie Horner ◽  
Robert Boylan
Keyword(s):  
Labor Market ◽  
State Level ◽  
The State ◽  
Annual Data ◽  
Significant Finding ◽  
Cost Of Living ◽  
Content Type ◽  
The Usa ◽  
The Cost ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of labor market freedom on state-level cost of living differentials in the USA using cross-sectional data for 2016 after allowing for the impacts of economic and quality of life factors. Design/methodology/approach The study uses two-stage least squares estimation controlling for factors contributing to cost of living differences across states. Findings The results reveal that an increase in labor market freedom reduces the overall cost of living. Research limitations/implications The study can be extended using panel data and alternative measures of labor market freedom. Practical implications In general, the finding that less intrusive government and greater labor freedom are associated with a reduced cost of living should not be surprising. This is because less government intrusion and greater labor freedom both inherently allow markets to be more efficient in the rationalization of and interplay with forces of supply and demand. Social implications The findings of this and future related studies could prove very useful to policy makers and entrepreneurs, as well as small business owners and public corporations of all sizes – particularly those considering either location in, relocation to, or expansion into other markets within the USA. Furthermore, the potential benefits of the National Right-to-Work Law currently under consideration in Congress could add cost of living reductions to the debate. Originality/value The authors extend the literature on cost of living differentials by investigating whether higher amounts of state-level labor market freedom act to reduce the states’ cost of living using the most recent annual data available (2016). That labor freedom has a systemic efficiency impact on the state-level cost of living is a significant finding. In our opinion, it is likely that labor market freedom is increasing the efficiency of labor market transactions in the production and distribution of goods and services, and acts to reduce the cost of living in states. In addition, unlike previous related studies, the authors investigate the impact of not only overall labor market freedom on the state-level cost of living, but also how the three sub-indices of labor market freedom, as identified and measured by Stansel et al. (2014, 2015), impact the cost of living state by state.

The impact of intellectual capital on firm performance: a study of Indian firms listed in COSPI

2018 ◽  
Vol 19 (5) ◽  
pp. 935-964 ◽  
Author(s):  
Neha Smriti ◽  
Niladri Das
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Value Creation ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Secondary Data ◽  
Share Price ◽  
Content Type ◽  
Listed Firms ◽  
The Impact

Purpose The purpose of this paper is to examine the effect of intellectual capital (IC) on financial performance (FP) for Indian companies listed on the Centre for Monitoring Indian Economy Overall Share Price Index (COSPI). Design/methodology/approach Hypotheses were developed according to theories and literature review. Secondary data were collected from Indian companies listed on the COSPI between 2001 and 2016, and the value-added intellectual coefficient (VAIC) of Pulic (2000) was used to measure IC and its components. A dynamic system generalized method of moments (SGMM) estimator was employed to identify the variables that significantly contribute to firm performance. Findings Indian listed firms appear to be performing well and efficiently utilizing their IC. Overall, human capital had a major impact on firm productivity during the study period. Furthermore, the empirical analysis showed that structural capital efficiency and capital employed efficiency were equally important contributors to firm’s sales growth and market value. The growing importance of the contribution of IC to value creation was consistently reflected in the FP of these Indian companies. Practical implications This study has robust theoretical grounds and employs a validated methodology. The present study extends knowledge of IC among academicians and managers and highlights its contribution to value creation. The findings may help stakeholders and policymakers in developing countries properly reallocate intellectual resources. Originality/value This study is the first study to evaluate IC and its relationship with traditional measures of firm performance among Indian listed firms using dynamic SGMM and VAIC models.

What should be lean buffer threshold for the forward-reserve warehouse?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhavin Shah
Keyword(s):  
Mathematical Model ◽  
Customer Service ◽  
Value Added ◽  
Service Level ◽  
Buffer Size ◽  
Value Stream Mapping ◽  
Content Type ◽  
Customer Service Level ◽  
The Impact ◽  
Just Right

PurposeThe assorted piece-wise retail orders in a cosmetics warehouse are fulfilled through a separate fast-picking area called Forward Buffer (FB). This study determines “just-right” size of FB to ensure desired Customer Service Level (CSL) at least storage wastages. It also investigates the impact of FB capacity and demand variations on FB leanness.Design/methodology/approachA Value Stream Mapping (VSM) tool is applied to analyse the warehouse activities and mathematical model is implemented in MATLAB to quantify the leanness at desired CSL. A comprehensive framework is developed to determine lean FB buffer size for a Retail Distribution Centre (RDC) of a cosmetics industry.FindingsThe CSL increases monotonically; however, the results concerning spent efforts towards CSL improvement gets diminished with raised demand variances. The desired CSL can be achieved at least FB capacity and fewer Storage Waste (SW) as it shifts towards more lean system regime. It is not possible to improve Value Added (VA) time beyond certain constraints and therefore, it is recommended to reduce Non-Value Added (NVA) order processing activities to improve leanness.Research limitations/implicationsThis study determines “just-right” capacity and investigates the impact of buffer and demand variations on leanness. It helps managers to analyse warehouse processes and design customized distribution policies in food, beverage and retail grocery warehouse.Practical implicationsProposed buffering model offers customized strategies beyond pre-set CSL by varying it dynamically to reduce wastages. The mathematical model deriving lean sizing and mitigation guidelines are constructive development for managers.Originality/valueThis research provides an inventive approach of VSM model and Mathematical algorithm endorsing lean thinking to design effective buffering policies in a forward warehouse.

An improved modified FMEA model for prioritization of lean waste risk

2018 ◽  
Vol 11 (2) ◽  
pp. 233-253 ◽  
Author(s):  
Agung Sutrisno ◽  
Indra Gunawan ◽  
Iwan Vanany ◽  
Mohammad Asjad ◽  
Wahyu Caesarendra
Keyword(s):  
Decision Support ◽  
Loss Function ◽  
Value Added ◽  
Ordinal Scale ◽  
Decision Support Model ◽  
Integration Model ◽  
Taguchi Loss Function ◽  
Content Type ◽  
The Impact ◽  
Support Model

Purpose Proposing an improved model for evaluating criticality of non-value added (waste) in operation is necessary for realizing sustainable manufacturing practices. The purpose of this paper is concerning on improvement of the decision support model for evaluating risk criticality lean waste occurrence by considering the weight of modified FMEA indices and the influence of waste-worsening factors causing the escalation of waste risk magnitude. Design/methodology/approach Integration of entropy and Taguchi loss function into decision support model of modified FMEA is presented to rectify the limitation of previous risk reprioritization models in modified FMEA studies. The weight of the probability components and loss components are quantified using entropy. A case study from industry is used to test the applicability of the integration model in practical situation. Findings The proposed model enables to overcome the limitations of using subjective determination on the weight of modified FMEA indices. The inclusion of the waste-worsening factors and Taguchi loss functions enables the FMEA team to articulate the severity level of waste consequences appropriately over the use of ordinal scale in ranking the risk of lean waste in modified FMEA references. Research limitations/implications When appraising the risk of lean waste criticality, ignorance on weighting of FMEA indices may be inappropriate for an accurate risk-based decision-making. This paper provides insights to scholars and practitioners and others concerned with the lean operation to understand the significance of considering the impact of FMEA indices and waste-worsening factors in evaluating criticality of lean waste risks. Practical implications The method adopted is for quantifying the criticality of lean waste and inclusion of weighting of FMEA indices in modified FMEA provides insight and exemplar on tackling the risk of lean waste and determining the most critical waste affecting performability of company operations. Originality/value Integration of the entropy and Taguchi loss function for appraising the criticality of lean waste in modified FMEA is the first in the lean management discipline. These findings will be highly useful for professionals wishing to implement the lean waste reduction strategy.

Intellectual capital: a determinant of firms' operational efficiency

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kanishka Gupta ◽  
T.V. Raman
Keyword(s):  
Intellectual Capital ◽  
Stochastic Frontier Analysis ◽  
Stock Exchange ◽  
Stochastic Frontier ◽  
Value Added ◽  
Financial Sector ◽  
Operational Efficiency ◽  
Content Type ◽  
Frontier Analysis ◽  
The Impact

PurposeIntellectual capital (IC) has been recognized in improving the efficiency of businesses and gaining competitive edge in the developed world. The present study offers perspectives into the effect of IC on the efficiency of the Indian financial sector companies.Design/methodology/approachFor the purpose of evaluating efficiency, the research has used stochastic frontier analysis (SFA). All Indian financial sector companies listed in National Stock Exchange (NSE-500) for the timeframe of ten years (2008–2018) have been considered. The paper has employed modified Pulic's Value Added Intellectual Coefficient (VAICTM) as a proxy to measure IC. Correlation and panel data regression have been used in order to examine the relationship.FindingsThe results of the study indicate positive and significant relationship between IC and efficiency of the firm. The results also show that all the components of IC, that is, human capital, relational capital, process capital and capital employed have a significant impact on firms' efficiency. Additionally, it has been seen that sample companies do not invest in research and development leading to no innovation capital.Practical implicationsThe research will assist managers in managing and controlling the IC, investors in matters related to investment and financial experts in improving the company's IC and value creation.Originality/valueThe current research is one of the pioneering studies in the context of Indian financial sector that examines the impact of modified VAIC on operational efficiency calculated using SFA.

Intellectual capital and firm performance in emerging economies: the case of India

2016 ◽  
Vol 26 (3) ◽  
pp. 410-430 ◽  
Author(s):  
Santi Gopal Maji ◽  
Mitra Goswami
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Value Added ◽  
Relative Importance ◽  
Content Type ◽  
Knowledge Based ◽  
Traditional Sector ◽  
Steel Sector ◽  
Capital Efficiency ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of intellectual capital (IC) on Indian traditional sector and compare the relative importance of IC on corporate performance of Indian knowledge-based sector (engineering sector) and traditional sector (steel sector). Design/methodology/approach Secondary data on 100 listed Indian firms, comprising of 44 firms from the engineering sector and 56 from the steel sector, are collected from “Capitaline Plus” Corporate database for a period of 14 years from 1999-2000 to 2012-2013. IC and its components are computed using Pulic’s value-added intellectual coefficient model and firm performance is measured by return on asset. Fixed effect regression model is used to investigate the hypothetical relationship between IC and firm performance. Further, quantile regression is used to check the robustness of the results. Findings The results indicate that IC efficiency and physical capital efficiency are positively and significantly associated with the firm performance for both the sectors. Regarding the components of IC, the coefficient of human capital efficiency is positive and significant, but the present effort fails to disentangle any significant influence of structural capital efficiency on firm performance. However, the results indicate that the influence of IC efficiency on firm performance is significantly greater in case of knowledge-based sector than that of traditional sector. Practical implications The findings of the study are useful for the decision makers, as the results indicate that the IC plays crucial role in value creation not only for knowledge-based firms but also for the firms belonging to the traditional manufacturing sector. Originality/value In the Indian context, this is the first study to examine the relative importance of IC in a knowledge-based sector and a traditional sector using appropriate methodology.

Kaizen, a continuous improvement practice in organizations

2018 ◽  
Vol 30 (4) ◽  
pp. 255-268 ◽  
Author(s):  
Karla María Alvarado-Ramírez ◽  
Víctor Hipólito Pumisacho-Álvaro ◽  
José Ángel Miguel-Davila ◽  
Manuel F. Suárez Barraza
Keyword(s):  
Empirical Evidence ◽  
Continuous Improvement ◽  
Latin American ◽  
The State ◽  
Structured Interviews ◽  
Managerial Behavior ◽  
Content Type ◽  
Service Companies ◽  
The Impact ◽  
Latin American Countries

PurposeThe purpose of this paper is to compare the practices of continuous improvement that are applied in medium and large manufacturing and service companies in two Latin American countries. At the same time, benefits and barriers experienced by these companies with regard to sustainability of continuous improvement are explored.Design/methodology/approachIn order to generate a comparative study between two Latin American countries, interviews were conducted with managers linked to continuous improvement in medium and large companies in the State of Puebla and the Metropolitan District of Quito, which are important areas in Mexico and Ecuador, respectively. Data were collected by means of document analysis, semi-structured interviews, and direct observation.FindingsCompanies in both countries identify the use of various techniques and/or tools for continuous improvement. The results of the empirical evidence show how the impact of the application of the techniques has been beneficial in economic and human terms. Thus, the exploratory study has permitted the identification of the drivers and inhibitors in the maintenance of continuous improvement.Research limitations/implicationsThe research is based on only two areas of the Latin American countries: Mexico and Ecuador. Their results can therefore not be generalized. The approach is applied in a specific environment, namely, the State of Puebla and the Metropolitan District of Quito. This study incorporates the perception of managers, directors, and/or supervisors involved in continuous improvement processes.Practical implicationsThis paper seeks to provide analytical input. The study is of great interest to researchers, managers, consultants, and professionals linked to projects of continuous improvement who wish to incorporate continuous improvement practices which are sustainable over time. A new managerial behavior is the basis of continuous improvement, where the training and development of the human resource increases the commitment to achieve organizational changes.Originality/valueThis research makes an empirical contribution to the literature through the understanding of practices of continuous improvement in a Latin American context, highlighting the factors that improve or impede the process of continuous improvement. Particularly in Mexico and Ecuador, the empirical evidence on this subject is still scarce despite the existence of theoretical academic literature.

Capital regulation, competition and risk-taking behavior of Indian banks in a simultaneous approach

2018 ◽  
Vol 44 (4) ◽  
pp. 459-477 ◽  
Author(s):  
Santi Gopal Maji ◽  
Preeti Hazarika
Keyword(s):  
Human Capital ◽  
Risk Taking ◽  
Value Added ◽  
Capital Adequacy ◽  
Bank Risk ◽  
Capital Regulation ◽  
Content Type ◽  
Risk Taking Behavior ◽  
Indian Banks ◽  
The Impact

Purpose The purpose of this paper is to investigate the association between capital regulation and risk-taking behavior of Indian banks after incorporating the influence of competition. Further, the study intends to enrich the existing literature by providing empirical evidence on the role of human resources in managing risk along with the influence of other bank specific and macroeconomic variables. Design/methodology/approach Secondary data on 39 listed Indian commercial banks are collected from “Capitaline Plus” corporate data database for a period of 15 years. Capital is measured by capital adequacy ratio as defined by the regulators, and two definitions of risk – credit risk and insolvency risk – are employed. Competition is measured by Herfindahl-Hirschman deposits index, concentration ratio and H-statistic. The value-added intellectual coefficient model is employed to compute human capital efficiency (HCE). Three-stage least squares technique in a simultaneous equation framework is used to estimate the coefficients. Findings The study finds that absolute level of regulatory capital and bank risk are positively associated, although the influence of capital on risk is not statistically significant. The influence of competition on risk is negative for all the models, which supports the “competition stability” view. The impact of human capital on bank risk is also negative for all cases. Practical implications The findings of the study are useful for the decision makers in several ways based on the inverse influence of competition and HCE on bank risk. Further, the observed positive association between capital and risk indicates that the capital regulation is not sufficient to enhance the stability in the banking sector. Originality/value This is the first study in the Indian context that incorporates the competition in the banking industry as an explanatory variable in the extant bank capital and risk relationship.

Can collaborative buffering strategies reduce distribution costs while improving product returns?: A case of an Asian e-retailer

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhavin Shah ◽  
Gaganpreet Singh
Keyword(s):  
Customer Value ◽  
Time Windows ◽  
Value Added ◽  
Revenue Sharing ◽  
Content Type ◽  
Profit Margins ◽  
Return Policies ◽  
Buffer Time ◽  
Proposed Model ◽  
The Impact

PurposeIn order to achieve competitive advantage over the physical marketplace, the e-retailers are insisted on endowing with lenient return policies. The piece-wise returns-and-reordering process incurs excessive buffering and unwanted logistics costs which raises overall fulfillment charges. The objective of this study is to re-design e-retail distribution policy by providing temporal storage at logistics service provides' (LSP) location. The impact of recurrent returns on pricing and profit margins are also investigated over time continuum.Design/methodology/approachA framework is developed to reduce the non-value added (NVA) storage and distribution efforts by providing collaborative buffering between LSP and e-retailer. The knapsack based buffering approach is tested and compared with traditional e-retail distribution practices. The revenue sharing concept is mathematically modelled and implemented in GAMS, which finally validated through multiple return scenarios.FindingsThe proposed model outperforms the existing one under all scenarios with different configuration settings of re-ordering, profit margins, and buffer time windows. The distribution cost is found, linearly related to the necessary product buffering space. The findings help to re-design sustainable return policies for individual products so that maximum customer value can be yield with minimum costs.Research limitations/implicationsThis study helps to determine the NVA efforts incurred while storing and delivering multi-time returned products to ensure desired service levels. The revenue sharing model provides pricing strategies for e-retail practitioners deciding which product should store in what quantity for how much time at the shipping agency location so that it fulfils the re-ordering at least waiting and sufficient buffering.Originality/valueThe proposed model extends the role of LPSs as temporary buffer providers to reduce returns-and-reordering fulfilment efforts in the e-retail network. This Collaborative framework offers an opportunity to amend the distribution contracts and policies time by time that enhances e-retailer's performance and customer satisfaction.

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