Search results for "PANEL-DATA"

showing 4 items of 4 documents

Do microfinance institutions benefit from integrating financial and nonfinancial services?

2017

This article examines the impact of microfinance ‘plus’ (i.e. coordinated combination of financial and nonfinancial services) on the performance of microfinance institutions (MFIs). Using a global data set of MFIs in 77 countries, we find that the provision of nonfinancial services does not harm nor improve MFIs’ financial sustainability and efficiency. The results however suggest that the provision of social services is associated with improved loan quality and greater depth of outreach.

Economics and EconometricsIMPACT050204 development studiesmedia_common.quotation_subjectMODELSWASSSocial WelfareMICROCREDITOntwikkelingseconomielaw.inventionDevelopment Economicslaw0502 economics and businessEconomicsQuality (business)outreachBANKING050207 economicsmedia_commonFinanceMicrofinancePovertybusiness development servicesbusiness.industry05 social sciencesPERFORMANCEPOVERTYMICROBANKSfinancial sustainabilityMicrofinance "plus'OutreachBUSINESSHarmLoanMicrofinance ‘plus’businessPANEL-DATAPanel dataApplied Economics
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On the relationship between knowledge creation and economic performance

2015

An empirical two-equation dynamic panel-data model system with fixed effects is proposed to analyze the relationship between knowledge creation and economic performance across regions over time. Estimates of the model for Spanish regions show that (i) knowledge creation depends on local R&D effort, on the amount of knowledge in use, and on knowledge creation in neighboring regions; and (ii) assimilation of new knowledge depends on local knowledge creation and on assimilation of knowledge in neighboring regions. Both processes include region-specific context fixed effects and region-specific time effects, representing region-specific dynamic influences. The results imply that (a) efficie…

Knowledge managementR&DHF5001-6182business.industryComputer scienceModel systemContext (language use)Economic growth development planningpanel-dataeconomic growthKnowledge creationHD72-88BusinessSpanish regionsbusinessFinancePanel dataTechnological and Economic Development of Economy
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Upstream Product Market Regulations, ICT, R&D and Productivity

2017

Our study aims to assess the actual importance of the two main channels via which upstream anti-competitive sector regulations are usually considered to impact productivity growth, i.e. by acting as a disincentive to business investments in R&D and in ICT. We estimate the specific impacts of these two channels and their shares in the total impact as opposed to alternative channels of investments in other forms of intangible capital that we cannot explicitly consider for lack of appropriate data such as improvements in skills, management and organization. To achieve this, we specify an extended production function explicitly relating productivity to R&D and ICT capital as well as to upstream…

O43INNOVATIONo47 - "Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence"jel:C23[SHS]Humanities and Social SciencesC50Economics[ SHS.ECO ] Humanities and Social Sciences/Economies and finances050207 economicsIndustrial organization050205 econometrics CointegrationR&D05 social sciencesEconomic Growth and Aggregate Productivity: OtherHETEROGENEOUS PANELS[SHS.ECO]Humanities and Social Sciences/Economics and Finance047MANUFACTURING FIRMSjel:L5jel:O57Capital (economics)8. Economic growthTESTSENTRYo49 - Economic Growth and Aggregate Productivity: OtherEconomics and EconometricsproductivityProduct marketCOINTEGRATIONgrowthCOMPETITIONMeasurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergenceregulations0502 economics and business[ SHS ] Humanities and Social Sciencesparasitic diseasesjel:O43Production (economics)jel:O47ProductivityTotal factor productivityUpstream (petroleum industry)MarketProductivity Growth Regulations Competition Catch-up R&D ICTjel:L16ICTjel:O33Panel dataPANEL-DATAReview of Income and Wealth
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A review of DEA models when the internal structure of the decision making units is considered

2005

Classical Data Envelopment Analysis (DEA) models consider each Decision Making Unit (DMU), whose relative efficiency they evaluate, as a "black box", i.e., its internal structure is disregarded. The paper presents a comprehensive framework of the most advanced theoretical findings in DEA when the internal structure of the. DMUs is taken into account, thus giving directions for novel applications of such methodology and introducing it as a powerful toot for complex processes performance evaluation.

PERFORMANCE-MEASUREMENTJOINT DETERMINATIONOUTPUTSDATA ENVELOPMENT ANALYSIS; MULTICOMPONENT EFFICIENCY MEASUREMENT; JOINT DETERMINATION; SHARED INPUTS; BANK BRANCHES; PERFORMANCE-MEASUREMENT; PANEL-DATA; SERVICE; PROGRESS; OUTPUTSDATA ENVELOPMENT ANALYSISSHARED INPUTSBANK BRANCHESMULTICOMPONENT EFFICIENCY MEASUREMENTSERVICEPROGRESSPANEL-DATA
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