Pre-training competencies and the productivity of apprentices

2017 ◽  
Vol 5 (1) ◽  
pp. 59-79 ◽  
Author(s):  
Anika Jansen ◽  
Harald Ulrich Pfeifer
Keyword(s):  
Problem Solving ◽  
Practical Implication ◽  
Willingness To Participate ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Individual Level ◽  
Training Costs ◽  
Level Data ◽  
Firm Level Data

Purpose The purpose of this paper is to investigate the relationship between pre-training competencies of apprentices and their productivity at the workplace. Design/methodology/approach For the analysis, the authors use firm-level data on apprentices’ oral and writing competencies and competencies in basic mathematics, information technology and problem solving. The authors regress the apprentices’ productivity on these school competencies and include a number of firm and apprentice-specific control variables. By reducing the authors’ data set to firms that only have one apprentice the authors transform the firm-level data into quasi individual-level data. Findings The main findings are that not all competencies are equally related to productivity. Problem-solving competencies followed by oral and writing competencies show the strongest relation to the productive potential of apprentices. IT competencies are also positively but weakly related to the apprentices’ productivity. In contrast, higher levels of basic mathematical competencies leave productivity levels largely unchanged. Differentiating between occupational groups, the authors find that the positive relation between the competencies and productivity predominantly exists in commercial occupations rather than in industrial and technical occupations. Practical implications The results show that better school competencies are associated with a higher productivity of apprentices, which in turn lowers the firms’ training costs. From a policy perspective, this finding is important because it implies that, by improving the apprentices’ competencies, the firms’ willingness to participate in the apprenticeship system can be increased. Moreover, the results are important for training firms because they show on which competencies firms should focus in their recruitment decision. Originality/value The paper studies for the first time the relation between pre-training competencies and productivity of apprentices at the working place. A practical implication from the authors’ analysis is that it could be useful to implement tools measuring the problem solving and oral and writing competencies of apprenticeship applicants in the process of recruitment.

Access to finance and firm innovation

2018 ◽  
Vol 10 (1) ◽  
pp. 73-94 ◽  
Author(s):  
MccPowell Sali Fombang ◽  
Charles Komla Adjasi
Keyword(s):  
South Africa ◽  
Trade Credit ◽  
Microfinance Institutions ◽  
African Countries ◽  
Access To Finance ◽  
Firm Level ◽  
Firm Innovation ◽  
Content Type ◽  
Level Data ◽  
Firm Level Data

Purpose The study aims to examine the importance of access to finance in firm innovation by using firm-level data from the World Bank enterprise survey (WBES) on selected African countries. Design/methodology/approach This study utilises firm-level data from the WBES database and computes aggregate innovation index by using multiple correspondent analysis. The authors then apply instrumental variable models (to control for possible endogeneity between innovation and finance) to assess the link between finance and innovation. Findings The research finds that finance in the form of overdraft overwhelmingly drives innovation in all selected countries – Cameroon, Kenya, Morocco, Nigeria and South Africa. Trade credit enhances innovation among firms in Nigeria, South Africa and Cameroon, while asset finance drives innovation amongst firms in Cameroon, Nigeria and South Africa. Practical implications Policy incentives such as tax breaks could be put in place for financial intermediaries that have shown proof of extending loans to financially constraint firms to enable them to innovate. Furthermore, different financial institutions such as microfinance institutions can be supported to increase credit to enterprises. Partnerships with organisations willing to fund firms and support start-ups should be encouraged. One of such support mechanisms could be specialised schemes such as a credit guarantee scheme to encourage and secure lending to enterprises to promote innovation. Originality/value This paper provides empirical insights into how finance enhances innovation in African enterprises. It also shows how different finance structures (overdraft, asset finance and trade credit) affect firm innovation in different African countries.

Using the eurostat-OECD definition of high-growth firms: a cautionary note

2015 ◽  
Vol 4 (1) ◽  
pp. 50-56 ◽  
Author(s):  
Sven-Olov Daunfeldt ◽  
Dan Johansson ◽  
Daniel Halvarsson
Keyword(s):  
Small Firms ◽  
High Growth ◽  
Growth Patterns ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Level Data ◽  
Growth Firms ◽  
Definition Of ◽  
Practical Implications

Purpose – High-growth firms (HGFs) have attracted an increasing amount of attention from researchers and policymakers, and the Eurostat-Organisation for Economic Co-operation and Development (OECD) definition of HGFs has become increasingly popular. The paper aims to discuss this issue. Design/methodology/approach – The authors use a longitudinal firm-level data set to analyze the implications of using the Eurostat-OECD definition. Findings – The results indicate that this definition excluded almost 95 percent of surviving firms in Sweden, and about 40 percent of new private jobs during 2005-2008. Research limitations/implications – The proportion of small firms and their growth patterns differ across countries, and the authors therefore advise caution in using this definition in future studies. Practical implications – Policy based on the Eurostat-OECD definition of HGFs might be misleading or even counterproductive. Originality/value – No previous studies have analyzed the implications of using the Eurostat-OECD definition of HGFs.

Linked Employer-Employee Data on Firms’ Training Costs: Enriching Register based LEE Data with Firm Level Data on Apprenticeship Training

2014 ◽  
Vol 134 (2) ◽  
pp. 237-248 ◽  
Author(s):  
Hans Dietrich, ◽  
Holger Alda, ◽  
Harald Pfeifer, ◽  
Felix Wenzelmann, ◽  
Gudrun Schönfeld, ◽  
...  
Keyword(s):  
Firm Level ◽  
Apprenticeship Training ◽  
Training Costs ◽  
Level Data ◽  
Firm Level Data ◽  
Employee Data

A neglected input to production: the role of ICT-schooled employees in firm performance

2017 ◽  
Vol 38 (3) ◽  
pp. 373-391 ◽  
Author(s):  
Eva Hagsten ◽  
Anna Sabadash
Keyword(s):  
Data Sets ◽  
Firm Level ◽  
Broadband Internet ◽  
Content Type ◽  
Institutional Settings ◽  
Level Data ◽  
Firm Level Data ◽  
Information And Communication ◽  
Econometric Approach

Purpose The purpose of this paper is to broaden the perspective on how information and communication technology (ICT) relates to productivity by introducing a novel ICT variable: the share of ICT-schooled employees in firms, an intangible input often neglected or difficult to measure. Design/methodology/approach Based on a Cobb-Douglas production function specification, the association between the share of ICT-schooled employees and firm productivity is estimated by the use of unique comparable multi-linked firm-level data sets from statistical offices in six European countries for the period of 2001-2009. Findings There are indications that the share of ICT-schooled employees significantly and positively relates to productivity, and also that this relationship is generally more persistent than that of ICT intensity of firms, measured as the proportion of broadband internet-enabled employees. However, the strength of the association varies across countries and demonstrates that underlying factors, such as industry structure and institutional settings might be of importance too. Research limitations/implications Data features and the way to access harmonised firm-level data across countries affect the choice of econometric approach and output variable. Practical implications The results emphasise the importance of specific ICT skills in firms independently of where in the organisation the employee works. Originality/value Studies on associations between employees with specific (higher) education based on formal credentials and productivity are rare. Even more uncommon is the cross-country setting with harmonised data including general ICT intensity of firms.

Firm size and the political cycle premium

2015 ◽  
Vol 41 (10) ◽  
pp. 1077-1095
Author(s):  
Chris B Malone ◽  
Hamish Anderson ◽  
Peng Cheng
Keyword(s):  
New Zealand ◽  
Small Firms ◽  
The Political ◽  
Firm Level ◽  
Content Type ◽  
Level Data ◽  
Political Cycle ◽  
Firm Level Data ◽  
The Usa ◽  
Political Term

Purpose – The purpose of this paper is to use firm-level data to examine whether the political cycle differentially relates to small vs large firms in New Zealand; a country that operates a unicameral political system has a short three-year political term and a right-of-centre stock market premium exists. Design/methodology/approach – Using firm-level data from 1972 to 2010, the authors examine monthly returns during right-of-centre National governments and left-of-centre Labour governments. The authors apply Santa Clara and Valkanov (2003) regression analysis approach to examine the political cycle impact on firm returns. Findings – Like in the USA, New Zealand’s political cycle premium is driven by small firms; however, the results are opposite. In New Zealand, periods governed by the right of the political spectrum produce significantly higher stock returns than those from the left and this finding is primarily driven by small firms who perform particularly poorly under left-of-centre governments. Research limitations/implications – Small firms were relatively heavily affected by the move to an open, deregulated economy; they were also less able to cope with tight monetary conditions, and periods of sharply falling inflation. New Zealand’s three-year political term may encourage newly formed governments to implement relatively fast moving shifts in policy where a more reasoned and steady approach would be warranted. Originality/value – This is the first paper to use firm-level data outside of the USA to examine the political cycle impact.

Adults with learning disabilities known to local authorities in Scotland: a national dataset

2015 ◽  
Vol 20 (1) ◽  
pp. 15-23
Author(s):  
Claire Stuart ◽  
Andrew McKeown ◽  
Angela Henderson ◽  
Chloe Trew
Keyword(s):  
Learning Disabilities ◽  
Learning Disability ◽  
Local Authority ◽  
Local Authorities ◽  
Data Set ◽  
Content Type ◽  
Individual Level ◽  
Level Data ◽  
Analytical Potential ◽  
Adults With Learning Disabilities

Purpose – Learning Disability Statistics Scotland collects information on adults with learning disabilities who are known to local authorities in Scotland and the services they use. The data collection supports national and local government policy making and is focused on monitoring the implementation of learning disability policy. The paper aims to discuss these issues. Design/methodology/approach – Individual level data are requested from all 32 local authorities on adults aged 16-17 who are not in full-time education and those aged 18 and over. Annual data guidance is developed in conjunction with local authorities prior to the collection and is issued to standardise the process and manage avoidable error. The collated data are extracted from local authority administrative data and records are provided on each adult regardless of whether they are currently receiving a service. Anonymisation takes place prior to upload and strict guidelines are followed to ensure it is not possible to identify individuals. Findings – The paper provides insights to the project's processes, uses, challenges and future plans. It details the position of the data outputs within a policy context and the role these might play within a broader research agenda. Research limitations/implications – This data includes only adults known to local authority services. Originality/value – The value of the project lies in its strength as a national social care data set comprised of individual level data. This methodology increases the analytical potential of the data set. This paper will be of interest to those interested in data on learning disability and those with an interest in the analytical potential of an individual level national data set.

How does the globalization of firms affect corruption in developing economies?

2017 ◽  
Vol 21 (3) ◽  
pp. 256-270 ◽  
Author(s):  
Bokyeong Park ◽  
Onon Khanoi
Keyword(s):  
Foreign Investment ◽  
Developing Economies ◽  
Probit Model ◽  
Policy Implications ◽  
Firm Level ◽  
Content Type ◽  
Exporting Firms ◽  
Country Level ◽  
Level Data ◽  
Firm Level Data

Purpose The purpose of this paper is to examine how firms’ characteristics related to globalization affect their perception on corruption and actual experiences in bribery. It focuses on two indicators of globalization, namely, foreign ownership and export, and confines the scope to developing economies. Design/methodology/approach This analysis uses firm-level data with observation over 60,000 collected from 94 developing economies. The paper employs the probit model to examine how firm characteristics related to globalization affect corruption perception (CP) and incidence. Findings The empirical results reveal that for foreign-invested companies, there is a substantial discrepancy between the perceived corruption and the actual. Although they are involved in bribery as frequently as, or less frequently than local firms, they have greater CPs. Exporting firms are more frequently solicited for bribes, but the effect disappears when time spent for government contact is controlled for. Consequently, foreign investment partly contributes to the corruption control, but the export orientation of firms rather aggravates corruption due to regulative environments in developing economies. Practical implications This study provides policy implications that the corruption control through globalization requires streamlining of administration procedure related to foreign investment or trade and, thus, shortening time to deal with public officials. In addition, governments need to emphasize the importance of foreign investment and prevent unethical practices mediated by local partners. Originality/value The greatest novelty of this paper lies in using firm level data instead of country level unlike most of the literature. Moreover, the authors focus on firms only in developing economies. As well, unlike most studies using only perception indicators as the proxy of corruption, this paper considers both CPs and actual incidence, and compares each other.

scholarly journals Are firms paying more for performance?

2016 ◽  
Vol 37 (2) ◽  
pp. 323-343 ◽  
Author(s):  
John Forth ◽  
Alex Bryson ◽  
Lucy Stokes
Keyword(s):  
Economic Importance ◽  
Firm Level ◽  
Wage Bill ◽  
Content Type ◽  
Level Data ◽  
Bonus Payments ◽  
Firm Level Data ◽  
Nationally Representative ◽  
Substantial Change ◽  
Two Sectors

Purpose – The purpose of this paper is to investigate changes in the economic importance of performance-related-pay (PRP) in Britain through the 2000s using firm-level data. Design/methodology/approach – The authors utilise nationally representative, monthly data on the total wage bill and employment of around 8,500 firms. Using these data, the authors decompose the share of the total economy-wide wage bill accounted for by bonuses into the shares of employment in the PRP and non-PRP sectors, the ratio of base pay between the two sectors, and the gearing of bonus payments to base pay within the PRP sector. Findings – The growth in the economic importance of bonuses in Britain in the mid-2000s – and subsequent fluctuations since the onset of recession in 2008 – can be almost entirely explained by changes in the gearing of bonus to base pay within the PRP sector. There has been no substantial change in the percentage of employment accounted for by PRP firms; if anything it has fallen over time. Furthermore, movements in the gearing of bonuses to base pay in the economy are heavily influenced by changes in Finance: a sector which accounts for a large proportion of all bonus payments in Britain. Research limitations/implications – The paper demonstrates the importance of understanding further how firms decide the size of bonus payments in a given period. Originality/value – This is the first paper to present monthly firm-level data for Britain on the incidence and size of bonus payments in the 2000s.

The impact of training on productivity: evidence from a panel of Italian firms

2014 ◽  
Vol 35 (8) ◽  
pp. 1140-1158 ◽  
Author(s):  
Emilio Colombo ◽  
Luca Stanca
Keyword(s):  
Unobserved Heterogeneity ◽  
Occupational Groups ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Training Activity ◽  
Blue Collar Workers ◽  
Level Data ◽  
Effective Training ◽  
The Impact

Purpose – The purpose of this paper is to investigate the effects of training activity on labor productivity in a panel of Italian firms. Design/methodology/approach – The use of a large panel data of individual firms allows the author to properly account for the possible endogeneity of training activity and avoid aggregation biases typical in industry-level data. Findings – The paper finds that training has a positive and significant impact on productivity. While unobserved heterogeneity leads to overestimate the impact of training, failing to account for the endogeneity of training leads to underestimate its effects on productivity. Within occupational groups, training has large and significant effects for blue-collar workers, while the effects for executives and clerks are relatively small. Finally, using a measure of effective training intensity the paper finds that failing to account for training duration may lead to underestimate the effect of training on productivity. Originality/value – Our data set is unique in terms of size and coverage and overcomes several limitations of previous research using firm-level data. Moreover, besides estimating the overall effect of training on productivity, the paper allows to address some more specific questions. Does the effect of training depend on the type of worker being trained? What is the relevance of effective participation to training activity?

An examination of antecedents of conversion rates of e-commerce retailers

2016 ◽  
Vol 39 (1) ◽  
pp. 82-114 ◽  
Author(s):  
Naveen Gudigantala ◽  
Pelin Bicen ◽  
Mike (Tae-in) Eom
Keyword(s):  
Significant Relationship ◽  
Conversion Rate ◽  
Purchase Intention ◽  
Purchase Behavior ◽  
Firm Level ◽  
Content Type ◽  
Individual Level ◽  
Level Data ◽  
Conversion Rates ◽  
Dependent Variables

Purpose – This study aims to theorize and empirically examine the relationship between “purchase intention and conversion rate”, “website satisfaction and conversion rate” and “purchase intention and conversion rate”. E-Commerce conversion rate represents the percentage of visits to an e-tailer’s website that includes a purchase transaction. Despite the importance of conversion rates for e-tailers, prior research predominantly used purchase intention and website satisfaction as main dependent variables and implicitly assumed that these variables will influence the actual purchase. Design/methodology/approach – Data on 85 US retail websites were used to test the hypotheses. The unit of the analysis is the online retail website. Regression analysis was used to perform the data analysis. Findings – The results indicate that both purchase intention and website satisfaction positively influence conversion rates. It was also found that website satisfaction positively influences purchase intention. Research limitations/implications – Only data from 85 US e-tailers from the top-100 US online retailers are used to test the hypotheses. Also, conversion rate is only one of the several important success metrics used by e-tailers. Originality/value – This study not only examines antecedents of e-commerce conversion rates, but also theorizes and tests if there is a statistically significant relationship between “purchase intention and conversion rate” and “website satisfaction and conversion rate”. This is because, although previous studies used purchase intention and website satisfaction as main dependent variables and proxies for actual purchase behavior, they did not validate this relationship. This study shows that: there is a statistically significant relationship between “purchase intention and conversion rate” and “website satisfaction and conversion rate”, there is also a statistically significant relationship between “website satisfaction and purchase intention” and this study used firm-level data to theorize, measure and analyze the data, whereas prior literature used only individual-level data.

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