management Z-score .
Dependent variable: management Z-score . | (1) . | (2) . | (3) . | (4) . |
---|---|---|---|---|
A. No controls | ||||
Ln(1+degree share) | 0.260*** | |||
(0.015) | ||||
Ln(1+degree share), managers | 0.206*** | 0.138*** | ||
(0.013) | (0.011) | |||
Ln(1+degree share), non-managers | 0.196*** | 0.154*** | ||
(0.010) | (0.010) | |||
B. Full controls | ||||
Ln(1+degree share) | 0.156*** | |||
(0.014) | ||||
Ln(1+degree share), managers | 0.101*** | 0.069*** | ||
(0.012) | (0.011) | |||
Ln(1+degree share), non-managers | 0.109*** | 0.091*** | ||
(0.009) | (0.009) | |||
Observations | 6,360 | 6,360 | 6,360 | 6,360 |
Notes : *** Denotes significance at the 1% level, ** 5% level, and * 10% level. All columns estimated by OLS. Reported standard errors are clustered at the region level for consistency with regional analysis in the paper. Panel A specifications include only country and year dummies. Panel B include a full set of firm, industry, geography, and survey controls as per the main specifications in the paper.
Source : Feng and Valero (2020) .
Firm skills and management practices Notes : Scatter plot of average firm management practices on average Ln(1+degree share) within 20 evenly sized bins. Sample includes manufacturing plants surveyed in the WMS across 19 countries: Argentina, Australia, Brazil, Canada, Chile, China, France, Germany, Greece, India, Italy, Japan, Mexico, New Zealand, Poland, Portugal, Sweden, United Kingdom, and United States. Variation is within country and survey wave dummies are also absorbed. For details on the sample, see the online data appendix in Feng and Valero (2020) . Reported standard errors are clustered at the region level for consistency with regional analysis in paper. The dashed line represents the line of best fit. Source : Feng and Valero (2020).
Focusing on manufacturing plants in Germany, Bender et al. (2018) link the WMS data to employee earnings records, enabling a richer analysis of worker features than is possible using the surveyed measures of education. Using longitudinal data on earnings of workers, including their pay at previous or subsequent employers, the authors decompose wages into worker and establishment effects using the AKM approach ( Abowd, Kramarz, and Margolis, 1999 ). The worker effects allow for the measurement of the worker skill or ability, together with analysis of the relative quality of different employee sub-groups—specifically, the authors assume that those in the top quartile of earnings are managers. Establishment effects provide a measure of the financial incentive system at each plant.
The authors find a strong relationship between average employee ability and management practices, conditioning on firm size and other standard firm covariates. The coefficient is over a third larger when only the ability of managers is considered. And when both of these are included in the specification, only the manager effect survives (the coefficient on average worker ability remains positive but is much smaller in magnitude and not significant). Moreover, the result with respect to managerial ability holds even when the plant-level share of workers with a college degree is controlled for (plus other measures of human capital including experience, age, and tenure). The authors conclude that these results suggest that management practices and human capital (particularly managerial) are complementary in the sense that they covary together.
While plant-level correlations might suggest a role of human capital as a driver of better management practices, they could also reflect an increased demand for highly skilled workers in better managed firms. Accordingly, some papers have examined the extent to which management practices explain variation in plant-level human capital. Bender et al. (2018) also use the longitudinal employee data in German establishments to examine job inflows and outflows, finding that plants with higher management scores are more likely to recruit higher ability workers, and are less likely to lay off such workers. Using a similar approach, Cornwell et al. (2019) link WMS data to matched employer–employee data from Brazil where information on individuals’ occupations is also available so that managers and workers can be identified. This paper can therefore more accurately differentiate between worker and manager quality and consider the selection and sorting of these two groups separately. The authors find that better managed firms recruit higher ability workers, and this is particularly the case with managers. They find that such firms are better at retaining higher quality hires, and that they fire more selectively.
There is further evidence for both management practices–skill complementarities, and the role of management practices in increasing the relative demand for skilled workers in the context of South Korea. Lee (2018) analyses data on South Korean manufacturing firms in the years following the Asian financial crisis and links the adoption of ‘modern’ WMS-style management practices (which accelerated in that period as South Korea opened up to foreign firms) to increased demand for technical skills. More specifically, this study utilizes a business survey that includes questions that can be mapped to the WMS, and also granular data of the number of employees by occupational skill groups (including managers and technical workers) which allow the construction of measures of relative demand for skilled occupations relative to unskilled groups using relative employment and wages respectively. The author finds that there is a positive correlation between the relative demand for more skilled workers and management practices. To address issues of endogeneity, the author instruments establishment-level management practices using an industry-level ‘frontier’ management index. 10 Controlling also for establishment technology adoption, the results hold for technical workers only. The author provides evidence of a complementarity between modern management practices and technical skills via interactions between management practices and the quantity of technical workers in establishment-level performance regressions, and concludes that such complementarity is likely to be a reason for the technical skill demands of modern management practices.
The management practices literature outlined so far, based on the WMS, has been focused on medium-sized manufacturing firms across a mixture of advanced and developing countries. McKenzie and Woodruff (2017) explore the extent to which these types of practices matter in micro and small firms, across sectors, in the developing country context (where such firms account for the majority employment). The authors analyse surveys on business practices in marketing, stock-keeping, record-keeping, and financial planning across seven countries (a key difference from the WMS is that human resource practices are not included, reflecting the fact that the median firm in the sample has no employees). They show that variation in business practices explains as much of the variation in performance in microenterprises as in larger enterprises. Moreover, as in the WMS, the effect of business practices is robust to including numerous measures of the owner’s human capital. This suggests that business practices are not simply capturing owner ability in this context.
Nevertheless, consistent with studies based on WMS data, owner education is found to be positively related to business practices. The authors argue that it is likely that more educated and able owners will find it easier to learn and adopt good business practices, and that owner education is likely to matter more in the context of smaller firms where there are no intermediate levels of managers or workers. It is shown that owner years of education have a positive and significant association with business practices, which survives the inclusion of key owner and firm covariates and also two measures of analytical and cognitive ability—both of which also matter, but have smaller coefficients.
A series of studies have shown that variation in human capital appears to help explain variation in management practices at the establishment level. But, clearly, a number of issues arise when attempting to interpret such a relationship. First, human capital could be a driver of better management practices, and at the same time, better management practices could be a driver of higher human capital in firms ( Bender et al. , 2018 ; Cornwell et al. , 2019 ; Lee, 2018 )—both are consistent with a complementarity hypothesis. Plant-level associations are also likely to be subject to omitted variables bias due to the presence of a number of typically unobserved characteristics of firms, including technology adoption or firm culture, which are correlated with both management practices and human capital. Finally, given the need to find proxy variables for worker and manager skill in many contexts—based on quantities or relative prices of workers with different levels of education—there are also likely to be issues of measurement error, together with a lack of specificity in terms of which skills might drive the relationships.
The next section outlines two studies that have sought spatial measures of skills supply that are external to the firm in an attempt to move closer to identifying the extent to which differences in human capital could drive differences in management practices, though in the absence of a natural experiment that generates random variation in human capital across places, these studies cannot rule out all potential sources of endogeneity.
Feng and Valero (2020) combine international data on management practices in manufacturing plants from the WMS with spatial measures of skill availability based on university location and regional labour markets. 11 Data on universities are sourced from the World Higher Education Database (WHED), which provides university location and other characteristics, 12 and the key distance measure at the plant level is the estimated drive time to the nearest university. 13 On the sub-sample of 13 countries where international labour force survey (or equivalent) data were accessed, relative skills prices (the premium in wages for having a university degree), and quantities (degree share) were estimated at the region level. Such measures of skill supply have been linked to organizational practices and technology in previous papers, including decentralization ( Caroli and Van Reenen, 2001 ) and computer adoption ( Beaudry et al., 2010 ).
where the first arrow represents the relationship between the spatial presence of universities and supply of human capital (measured as the share of the workforce with a degree in a region k ), which is hypothesized to be positive. The share of skilled labour in the region can be expected to affect the relative skill price (skill premium), which then will influence the hiring decisions of firms. All else equal, we expect that a higher skill premium would result in a lower degree share in firm i , ( H ik ) since skilled labour is more expensive relative to unskilled labour. Finally, a complementarity between human capital and management practices implies a positive relationship between firm-level human capital and the adoption of management practices ( M ik ).
The approach to estimating these relationships is largely dictated by data availability and issues of aggregation. The authors begin by showing that regions with higher university density (universities normalized by population) have a higher degree share and lower skill premium.
Next, reduced form relationships between distance to closest university and firm skills and management practices are estimated. While firm-level measures of human capital are available for managers and workers separately, this analysis focuses on the entire workforce as it was not possible to meaningfully create external skills supply measures for these two categories separately. 14 The results of the core specifications are depicted in Figure 2 . Firms located further from universities have both lower human capital and lower management scores, controlling for firm and geographic factors.
Distance to university, management scores, and degree share Notes : Scatter plots of average management Z-score and degree share on average driving time within 20 evenly sized bins. Controls and fixed effects are absorbed. Reported standard errors are clustered at the region level. The dashed line represents the line of best fit. Source : Feng and Valero (2020).
To get more information on the mechanism at work, similar specifications are estimated replacing distance to university with the regional skill premium. This analysis finds that firms facing higher skill premia in the regions in which they are located employ significantly less skilled workers and are significantly worse managed. 15 Interestingly, results are stronger when capital regions are excluded. This is to be expected since demand shocks or other unobservables that raise both the skill premium and management practices to be more prevalent in capital regions, and in addition, firms in capital cities are more likely to be able to recruit from wider areas (due to commuting patterns or inward migration).
This analysis helps to address some of the endogeneity concerns in firm-level associations. In particular, using the university distance measure it is easier to rule out reverse causality: it seems unlikely that universities choose locations close to mid-sized manufacturing firms with higher management scores. Region fixed effects and a rich set of geographical and firm controls help to address concerns about unobservables that drive both university proximity and management practices, including the possibility that such relationships simply reflect agglomeration effects. However, in the absence of an instrument for university location using this international dataset, it is not possible to rule out a scenario whereby the results are driven by better managed firms choosing locations close to universities. Feng and Valero (2020 ) attempt to address this concern by showing that there is no differential effect for firms which are founded after their nearest university, and by considering within firm variation as an extension to the skill premium analysis. The authors note, however, that if these results are driven by better managed firms making such locational decisions, they are still suggestive of a complementarity between better management and skills.
The authors analyse heterogeneity by observable characteristics of firms and universities and provide insights that support the education-management practices complementarity hypothesis. The relationships between management practices and both external skills measures are stronger for single-plant firms compared to plants that are part of multinationals or multi-plant domestic firms. Smaller, single-plant firms are likely to be more reliant on local skills supply when recruiting staff and setting management practices. In contrast, plants that are part of larger multinational enterprises may be able to attract workers from other regions or countries due to their stronger brand, and might also move staff between locations ( Choudhury, 2017 ). Moreover, management practices in such firms might be set centrally at the company headquarters, which may be located elsewhere.
The university distance effect does not appear to vary for universities offering different disciplines, including business related courses. This supports an interpretation that the university effect is operating (at least in part) via the production of general human capital—whereby the general education and skills picked up at university are complementary with modern management practices. If, instead, the main mechanism was the diffusion of information from universities to surrounding firms via consultancy services, managerial training, or access to more specialized inputs, including business-specific knowledge of graduates, we would expect stronger effects for universities with business departments. Nevertheless, it is important to caveat this discussion given data limitations, 16 and further research is needed to understand which specific skills or knowledge might matter for managers and workers across different types of firms, and how these are acquired.
Finally, as an extension to the main analysis in Feng and Valero (2020 ), performance equations are also estimated on a sub-sample of firms where financial data were available. These take the form of simple production functions including, in turn, firm degree share, and then the external skills measures and their interaction with management practices. For single-plant firms only, the signs of the interaction terms are as would be expected under the hypothesis that skills and management practices are complements: positive for firm-level human capital; and negative for distance and the skill premium for which higher values imply that the skill price is higher. However, only the distance interaction is significant at conventional levels. This analysis therefore provides additional suggestive evidence to support the main results.
In summary, this paper finds robust associations between measures of local skill supply and firm management practices, and evidence that lends support to there being a complementarity between general workforce education and management practices.
While the management scores in the WMS are determined based on the answers to open-ended questions asked in telephone interviews ( Bloom and Van Reenen, 2007 ), more recently ‘closed-ended’ questions on management practices have been integrated into business surveys carried out by national statistics offices (see Bloom et al. (2016a) for comparisons of these different approaches). The US Census Bureau’s Management and Organizational Practices Survey (MOPS), on US manufacturing plants, was the first-ever mandatory government management survey. Bloom et al. (2019) analyse these data for 35,000 plants across two waves of the survey in 2010 and 2015. The large sample size, panel structure, and coverage of different plants within a firm enables a rich analysis of the relationships between management practices and productivity, and the drivers of management practices.
The published paper focuses on two key drivers—the business environment and learning spillovers—but a previous working paper version ( Bloom et al. , 2017a ) also explored human capital as a driver. Specifically, the authors combine information on the location of plants within counties across the US with the quasi-random location of Land Grant Colleges across counties to construct an instrument for the local supply of educated employees. This approach builds on the work of Moretti (2004a) , who examines the impact of education on local productivity and wages.
The authors find that there is a positive and significant reduced form relationship between an indicator dummy for whether or not a county has a Land Grant College and plant-level management practices, controlling for local economic development features (population density and the unemployment rate) plus industry and state fixed-effects and plant-level covariates. Importantly, this relationship survives at the 10 per cent level of significance even when controlling for firm-level fixed effects, so that variation is across plants in the same firm.
The authors also find a positive and significant relationship between the share of working-age adults with a degree in the county, and plant-level management practices. Instrumenting this with the Land Grant College variable they find that the effect is even higher, though as noted this relies on the strong assumption that Land Grant Colleges only affect management practices via their impact on the supply of skilled workers rather than any other routes, for example business education.
Finally, in a quantification exercise, the authors estimate that variation in human capital appears to account for the largest share of variation in management practices (around 15 per cent). Overall, the results of this piece of analysis—which uses a different dataset on management practices in the United States only and employs different university-based measures of skills supply—finds results consistent with Feng and Valero (2020) : plants in areas with a more plentiful supply of skilled workers tend to have better management practices.
A positive relationship between managerial education and management practices has also been found in hospitals. Employing WMS data from hospitals across nine countries, Bloom et al. (2017b) investigate the extent to which differences in managerial education are a driver of variation in management scores.
The hospital-level measure of managerial education is the share of managers that have an MBA (or management-related courses that are at least 6 months long). Overall, in the sample, 26 per cent of managers are reported to have such a qualification, and this is positively and significantly associated with management practices, controlling for geographic and hospital characteristics. The authors employ the WHED data ( Valero and Van Reenen, 2019 ; Feng and Valero, 2020 ) to generate more exogenous measures of the supply of managerial skills in the hospital in the form of distance to nearest university.
While the authors calculate the distance to all types of university, the focus is on those that offer both medical and business courses. They find that the distance to such universities is positively and significantly related to mortality rates from heart attacks, and negatively related to management practices. On management practices, their results imply that a 10 per cent increase in drive time to the nearest university offering both medical and business courses is associated with 0.014 standard deviations in the management score. 17 There is no such relationship for universities in general or those that offer just one of medical or business courses. This suggests that specialist knowledge or training of managers (medical and MBA) is more important in the management of hospitals and it contrasts with the findings in manufacturing firms where there is no evidence of heterogeneity by broad university subject areas ( Feng and Valero, 2020 ).
In the robustness, the authors address a number of endogeneity concerns. First, it might be that universities offering both medical and business degrees are of higher quality. They find that the main results survive the inclusion of variables that proxy quality. Second, they show that the inclusion of region fixed effects and (on the US sample) county-level controls based on census data for differences in labour markets does not wipe out the result. In addition, on the US sub-sample they show that results are robust to adding fixed effects for the networks to which hospitals belong.
Supporting the interpretation that universities with medical and business schools increase the supply of managerial human capital, the authors find that hospitals which are closer to the combined clinical and business schools also have a higher fraction of managers with MBAs. But they do note that the cross-sectional nature of the data does not allow them to exclude the possibility that universities are creating bespoke managerial programmes in response to having a high-quality hospital in the area.
The fact that specific types of education might matter more in hospitals is not surprising, since hospitals are large, complex organizations with multiple goals and stakeholders, and are therefore quite different from mid-sized manufacturing plants which have been the focus in the WMS manufacturing surveys. Indeed, the literature that has studied the effects of CEOs on organizational performance in the public sector (following the methods of Bertrand and Schoar (2003) in firms) has found mixed results. In UK hospitals Janke et al. (2019) find that the movement of CEOs does not affect performance, which the authors attribute to being at least in part due to the size and complexity of hospitals. Perhaps consistent with Bloom et al. (2017b) , however, this study finds that CEOs with a clinical background are associated with better clinical performance in teaching hospitals.
The evidence summarized in this article appears to suggest that human capital is an important driver of management practices. While some analyses have focused on management education ( Bloom et al. , 2017b ), others have considered the general education of both managers and workers. Feng and Valero (2020) provide evidence that supports there being a complementarity between workforce education and management practices using measures of local skills supply; while in focused analysis of human capital in German firms, Bender et al. (2018) find that manager ability appears to matter more.
A number of policy implications flow from the apparent complementarity between productivity-enhancing management practices and general workforce human capital. First, complementarity implies that policies to raise human capital can raise productivity via a direct impact on worker skills, but also via an indirect effect as firms with a skilled workforce are more likely to successfully implement productivity enhancing management practices. The analysis in Feng and Valero (2020) suggests that this might be particularly the case for smaller, single-unit firms that are likely to be more reliant on their local skills environments. Second, complementarity implies that the payoffs from implementing education and skills policies to raise general human capital and policies specifically aimed at improving management practices (such as managerial training or consultancy) are likely to be higher when such policies are implemented in a coordinated fashion.
Third, and more broadly, the finding that proximity to universities appears to be related to the education of the workforce and management practices in firms (and hospitals) is relevant for place-based policies that seek to maximize the positive impacts that universities have on local economies via the diffusion of innovative technologies or organizational practices. There is a general need to know more about the mechanisms driving the positive impacts that universities can have on regional economic performance ( Valero and Van Reenen, 2019 ; Valero, 2019 ), and to understand better how to encourage university–business collaboration, in particular for smaller firms ( OECD, 2019 ).
With respect to future work, further efforts at finding causal relationships between organizational human capital and management practices are needed, together with gaining an improved understanding how these interact in driving organizational performance, and establishing which particular skills or knowledge matter in different contexts. Work in the following three areas will enable this.
First, expanded datasets will allow for more controls or fixed effects in regressions. As further survey waves become available in WMS and standard business survey versions like the MOPS, more panel evidence can be built. Datasets where more than one surveyed manager within larger organizations has been interviewed allow an assessment of differences in management practices holding aggregate organizational factors constant. Larger samples with more coverage of performance data can also allow more detailed analysis of complementarities in performance equations.
Second, causal evidence on the drivers of management practices can continue to be built, exploiting experimental or quasi-experimental variation. To the extent that human capital can be built via more targeted educational programmes, there could be an important role for well-designed managerial education and workforce training programmes in raising management practices and productivity in lagging firms. Training and consultancy programmes that seek to do this have been evaluated in a series of randomized controlled trials (as set out in this issue by Scur et al . (2021) and McKenzie (2021)), and the need for more experimentation in this area is acknowledged by policy-makers. 18 There might be scope for programme design that can introduce some level of randomness in access to more general business training delivered in the education system. An example would be subsidized higher or further education courses being offered to managers (for example, through vouchers or other incentives) which could be randomized or implemented in a way that would allow robust evaluation. 19
In order to understand how best to target interventions in different contexts, interactions between the effectiveness of targeted management training or consulting programmes and the formal education of managers (or workers) could also be explored further. Another interesting avenue would be to consider the relative effectiveness of programmes that include training for both managers and workers, versus those focused only on one group.
Third, the measure of firm-level human capital used in much of the analysis described in this paper (degree share, or MBA-equivalent qualification share) is rather broad. It would be valuable to understand at a more granular level the specific types of skills or cognitive/non-cognitive abilities that are relevant with respect to improving modern management practices, and how these can best be acquired.
The author is grateful to Simon Quinn, Daniela Scur, Chris Adam, John Van Reenen, an anonymous referee and the participants in the Oxford Review of Economic Policy editorial seminar in July 2020. Financial support from the Economic and Social Research Council through the Centre for Economic Performance, the Programme on Innovation and Diffusion (POID), and under grant ES/S001735/1 is gratefully acknowledged.
See, for example, Abowd et al. (1999) and Moretti (2004b) on firms (the latter also finding evidence of human capital externalities in firm productivity), and Gennaioli et al. (2013 , 2014 ) on regions. For recent discussion of the macro literature on human capital and growth, and estimates of relationships using measures of ‘knowledge capital’ based on cognitive skills, see Hanushek and Woessmann (2015) .
For a summary of the literature that links universities with local economic success see Glaeser and Hausman (2020) , and Azmat et al. (2018) for an application to the UK policy context.
At the undergraduate level, Belfield et al. (2018) show that business courses generate wages that are 10 per cent above the average earnings for graduates in the UK; and Altonji and Zhong (2020) find positive returns to MBAs and other business-related masters degrees using US data (controlling for selection on ability and occupational preferences).
Data on 2018/19 student enrolments by subject area are sourced from HESA, HE student enrolments by subject of study and domicile (DT051 Table 22), available at https://www.hesa.ac.uk/data-and-analysis/students/table-22. MBA student numbers are obtained from HESA, MBA students by domicile (2018/19 )), available at https://www.hesa.ac.uk/data-and-analysis/students/chart-8 .
In this setting, while simplified training is found to be effective, more standard accounting training had little measurable effect.
There are: Brazil, France, Germany, India, the UK, and the US.
As measured in the WMS via interviews with middle management in manufacturing plants.
Other interpretations are possible, it could simply reflect better management practices being ‘produced’ by higher skilled managers and workers, as discussed above.
For a condensed survey on the theoretical and empirical literature on skill biased technical change, see Violante (2008) .
This is based on the average WMS scores from five advanced economies: US, Britain, France, Germany, and Italy, by sector.
A key assumption is that labour markets are local in nature ( Moretti, 2011 ), so that local skill supply is relevant to firm hiring decisions.
See Valero and Van Reenen (2019) for a full description of the WHED data.
This type of measure has been used widely in the labour economics and innovation literatures. In labour, Card (1995) relates distance to university to individual level enrolment at university. Examples of papers that relate proximity to universities to firm innovation include Anselin et al. (1997) , Henderson et al. (1998) , and Belenzon and Schankerman (2013) .
Moreover, the firm-level relationships between these two measures of human capital and management practices were not so different, as shown in Table 1 .
Applying the coefficient on the skill premium to the variation in this variable across US states, the results imply that one standard deviation rise in the skill premium reduces management scores by –0.048 standard deviations, representing 18 per cent of the cross-state variation in management practices.
Subjects offered by each university are ascertained by extracting relevant key words from theinformation provided in WHED. For some universities the descriptions offered can be quite broad (e.g. it may specify ‘social sciences’ instead of listing out individual subjects). The subject categories in the paper are broad to account for this, but there are likely to be cases where the accurate subject mix at a university is not picked up.
In fact this is very similar to the magnitude of the effect found in Feng and Valero (2020) on the relationship between manufacturing plant management practices and distance to nearest (general) university, where a 10 per cent rise in distance is associated with 0.01 standard deviation lower management scores. The log specification for comparison is given in Table A.10 in Feng and Valero’s Online Appendix.
A good example is the UK’s Business Basics Programme, which has been designed to fund the implementation and evaluation of innovative ways of encouraging small and medium-sized enterprises to adopt existing technologies and management practices to improve their productivity.
For example, a gradual roll-out across locations, or eligibility criteria for accessing support that could create discontinuities to be exploited in evaluation.
Abowd , J. , Kramarz , F. and Margolis , D . ( 1999 ), ‘High Wage Workers and High Wage Firms’ , Econometrica , 67 ( 2 ), 251 – 333 .
Google Scholar
Altonji , J. G. , and Zhong , L . ( 2020 ), ‘The Labor Market Returns to Advanced Degrees’ , Cambridge, MA, National Bureau of Economic Research .
Google Preview
Anselin , L. , Varga , A. , and Acs , Z . ( 1997 ), ‘Local Geographic Spillovers Between University Research and High Technology Innovations’ , Journal of Urban Economics , 42 ( 3 ), 422 – 48 .
Azmat , G. , Murphy , R. , Wyness , G. , and Valero , A . ( 2018 ), ‘Universities and Industrial Strategy in the UK: Review of Evidence and Implications for Policy’ , CEP Industrial Strategy Paper , CEPIS06, London School of Economics, Centre for Economic Performance.
Bandiera , O. , Hansen , S. , Prat , A. , and Sadun , R . ( 2017 ), ‘CEO Behavior and Firm Performance’ , NBER Working Paper No. 23248, Cambridge, MA, National Bureau of Economic Research .
Beaudry , P. , Doms , M. E. , and Lewis , E. G . ( 2010 ), ‘Should the Personal Computer be Considered a Technological Revolution? Evidence from US Metropolitan Areas’ , Journal of Political Economy , 118 ( 5 ), 988 – 1036 .
Belenzon , S. and Schankerman , M . ( 2013 ), ‘Spreading the Word: Geography, Policy, and Knowledge Spillovers’ , Review of Economics and Statistics , 95 ( 3 ), 884 – 903 .
Belfield , C. , Britton , J. , Buscha , F. , Dearden , L. , Dickson , M. , Van Der Erve , L. , Sibieta , L. , Vignoles , A. , Walker , I. , and Zhu , Y . ( 2018 ), ‘The Relative Labour Market Returns to Different Degrees: Research Report: June 2018’ , London , Institute for Fiscal Studies .
Bender , S. , Bloom , N. , Card , D. , Van Reenen , J. , and Wolter , S . ( 2018 ), ‘Management Practices, Workforce Selection, and Productivity’ , Journal of Labor Economics , 36 ( S1 ), S371 – S409 .
Bertrand , M. , and Schoar , A . ( 2003 ), ‘Managing with Style: The Effect of Managers on Firm Policies’ , The Quarterly Journal of Economics , 118 ( 4 ), 1169 – 208 .
Bloom , N. , and Van Reenen , J . ( 2007 ), ‘Measuring and Explaining Management Practices across Firms and Countries’ , The Quarterly Journal of Economics , 122 ( 4 ), 1351 – 408 .
— — ( 2010 ), ‘Why Do Management Practices Differ across Firms and Countries?’ , The Journal of Economic Perspectives , 24 ( 1 ), 203 – 24 .
— Sadun , R. , and Van Reenen , J. ( 2016b ), ‘Management as a Technology’ , NBER Working Paper No. 22327, Cambridge, MA, National Bureau of Economic Research .
— Genakos , C. , Sadun , R. , and Van Reenen , J . ( 2012 ), ‘Management Practices Across Firms and Countries’ , The Academy of Management Perspectives , 26 ( 1 ), 12 – 33 .
— Lemos , R. , Sadun , R. , and Van Reenen , J. ( 2017b ), ‘Healthy Business? Managerial Education and Management in Health Care’ , Review of Economics and Statistics , 1 – 12 .
— Mahajan , A. , McKenzie , D. , and Roberts , J . ( 2020 ), ‘Do Management Interventions Last? Evidence from India’ , American Economic Journal: Applied Economics , 12 ( 2 ), 198 – 219 .
— Eifert , B. , Mahajan , A. , McKenzie , D. , and Roberts , J . ( 2013 ), ‘Does Management Matter? Evidence from India’ , The Quarterly Journal of Economics , 128 ( 1 ), 1 – 51 .
— Lemos , R. , Sadun , R. , Scur , D. , and Van Reenen , J . ( 2014 ), ‘The New Empirical Economics of Management’ , Journal of the European Economic Association , 12 ( 4 ), 835 – 76 .
— — — — — ( 2016a ), ‘International Data on Measuring Management Practices’ , American Economic Review , 106 ( 5 ), 152 – 6 .
— Brynjolfsson , E. , Foster , L. , Jarmin , R. S. , Patnaik , M. , Saporta-Eksten , I. , and Van Reenen , J. ( 2017a ), ‘What Drives Differences in Management’ , NBER Working Paper No. 23300, Cambridge, MA, National Bureau of Economic Research .
— — — — — — — ( 2019 ), ‘What Drives Differences in Management’ , American Economic Review , 109 ( 5 ), 1648 – 83 .
Bresnahan , T. F. , Brynjolfsson , E. , and Hitt , L. M . ( 2002 ), ‘Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-level Evidence’ , Quarterly Journal of Economics , 117 ( 1 ), 339 – 76 .
Bruhn , M. , Karlan , D. , and Schoar , A . ( 2018 ), ‘The Impact of Consulting Services on Small and Medium Enterprises: Evidence from a Randomized Trial in Mexico’ , Journal of Political Economy , 126 ( 2 ), 635 – 87 .
Brynjolfsson , E. , and Milgrom , P . ( 2013 ), ‘Complementarity in Organisations’, ch. 1 in R. Gibbons and J. Roberts (eds), The Handbook of Organizational Economics , 11 – 55 , Princeton, NJ , Princeton University Press .
Card , D . ( 1995 ), Using Geographic Variation in College Proximity to Estimate the Return to Schooling , Toronto , University of Toronto Press .
Caroli , E. , and Van Reenen , J . ( 2001 ), ‘Skill-biased Organizational Change? Evidence from a Panel of British and French Establishments’ , Quarterly Journal of Economics , 116 ( 4 ), 1449 – 92 .
Choudhury , P . ( 2017 ), ‘Innovation Outcomes in a Distributed Organization: Intrafirm Mobility and Access to Resources’ , Organization Science , 28 ( 2 ), 339 – 54 .
Cornwell , C. , Schmutte , I. M. , and Scur , D . ( 2019 ), ‘Building A Productive Workforce: The Role of Structured Management Practices’ , Centre for Economic Performance Discussion Paper 1644 .
Drexler , A. , Fischer , G. , and Schoar , A . ( 2014 ), ‘Keeping it Simple: Financial Literacy and Rules of Thumb’ , American Economic Journal: Applied Economics , 6 ( 2 ), 1 – 31 .
Fairlie , R. W. , Karlan , D. , and Zinman , J . ( 2015 ), ‘Behind the Gate Experiment: Evidence on Effects of and Rationales for Subsidized Entrepreneurship Training’ , American Economic Journal: Economic Policy , 7 ( 2 ), 125 – 61 .
Feng , A. , and Valero , A . ( 2020 ), ‘Skill Biased Management: Evidence from Manufacturing Firms’ , The Economic Journal , 130 ( 628 ), 1057 – 80 .
Fryer , R. G . ( 2017 ), ‘Management and Student Achievement: Evidence from a Randomized Field Experiment’ , NBER Working Paper 23437, Cambridge, MA, National Bureau of Economic Research .
Gennaioli , N. , La Porta , R. , De Silanes , F. L. , and Shleifer , A . ( 2013 ), ‘Human Capital and Regional Development’ , Quarterly Journal of Economics , 128 ( 1 ), 105 – 64 .
— — — — ( 2014 ), ‘Growth in Regions’ , Journal of Economic Growth , 19 ( 3 ), 259 – 309 .
Glaeser , E. L. , and Hausman , N . ( 2020 ), ‘The Spatial Mismatch between Innovation and Joblessness’ , Innovation Policy and the Economy , 20 ( 1 ), 233 – 99 .
Hanushek , E. A. , and Woessmann , L . ( 2015 ), The Knowledge Capital of Nations: Education and the Economics of Growth , Cambridge, MA , MIT Press .
Henderson , R. , Jaffe , A. B. , and Trajtenberg , M . ( 1998 ), ‘ Universities as a Source of Commercial Technology: A Detailed Analysis Of University Patenting, 1965–1988’ , Review of Economics and Statistics , 80 ( 1 ), 119 – 27 .
Homkes , R . ( 2010 ), ‘Enhancing Management Quality: The Potential for Productivity Growth after the Recession’ , CentrePiece , 15 ( 3 ), 2 – 6 .
Iacovone , L. , Maloney , W. F. , and McKenzie , D . ( 2019 ), ‘Improving Management with Individual and Group-based Consulting: Results from a Randomized Experiment in Colombia’ , WPS 8854, Washington, DC, World Bank .
Janke , K. , Propper , C. , and Sadun , R . ( 2019 ), ‘The Impact of CEOs in the Public Sector: Evidence from the English NHS’ , National Bureau of Economic Research, Cambridge, MA, National Bureau of Economic Research .
Lee , Y. S . ( 2018 ), ‘Modern Management and the Demand for Technical Skill’ , Labour Economics , 55 , 328 – 43 .
Lock , A. R. ( 1996) , ‘The Future of the MBA in the UK’ , Higher Education , 31 ( 2 ), 165 – 85 .
Lucas , R. E . ( 1978 ), ‘On the Size Distribution of Business Firms’ , The Bell Journal of Economics , 9(2), 508 – 23 .
— ( 1988 ), ‘On the Mechanics of Economic Development’ , Journal of Monetary Economics , 22 , 3 – 42 .
McKenzie , D . ( 2021 ), ‘Small Business Training to Improve Management Practices in Developing Countries: Re-assessing the Evidence for “Training Doesn’t Work”’ , Oxford Review of Economic Policy , 37 ( 2 ), 276 – 301 .
— Woodruff , C . ( 2017 ), ‘Business Practices in Small Firms in Developing Countries’ , Management Science , 63 ( 9 ), 2967 – 81 .
Milgrom , P. , and Roberts , J . ( 1990 ), ‘The Economics of Modern Manufacturing—Technology, Strategy, and Organization’ , American Economic Review , 80 ( 3 ), 511 – 28 .
Moretti , E. ( 2004 a ), ‘Estimating the Social Return to Higher Education: Evidence from Longitudinal and Repeated Cross-sectional Data’ , Journal of Econometrics , 121 ( 1 ), 175 – 212 .
— ( 2004 b ), ‘Worker’s Education, Spillovers, and Productivity: Evidence from Plant-level Production Functions’ , American Economic Review , 94 ( 3 ), 656 – 90 .
— ( 2011 ), ‘Local Labor Markets’ , Handbook of Labor Economics , vol. 4 , 1237 – 313 .
Nelson , R. R. , and Phelps , E. S . ( 1966 ), ‘Investment in Humans, Technological Diffusion, and Economic Growth’ , The American Economic Review , 56 ( 1/2 ), 69 – 75 .
OECD ( 2019 ), University–Industry Collaboration , Paris , Organization for Economic Cooperation and Development.
Queiro , F . ( 2018 ), ‘Entrepreneurial Human Capital and Firm Dynamics’ , available at SSRN: https://ssrn.com/abstract=3280925 .
Roberts , J . ( 1995 ), The Modern Firm. Organizational Design for Performance and Growth , Oxford , Oxford University Press .
Scur , D., Sadun , R., Van Reenen , J., Lemos , R., and Bloom , N. ( 2021 ), ‘The World Management Survey at 18: Lessons and the Way Forward’, Oxford Review of Economic Policy, 37(2) , 231 – 58 .
Valero , A . ( 2019 ), ‘Economic Impact of Universities in the UK: A Firm Level Analysis’ , mimeo .
— Van Reenen , J . ( 2019 ), ‘The Economic Impact of Universities: Evidence from around the Globe’ , Economics of Education Review , 68 , 53 – 67 .
Violante , G. L . ( 2008 ), ‘Skill-biased Technical Change’ , The New Palgrave Dictionary of Economics , 2 , 12389 – 94 .
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Financial Management means planning, organizing, directing and controlling the financial activities such as procurement and utilization of funds of the enterprise. It means applying general management principles to financial resources of the enterprise.
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The financial management is generally concerned with procurement, allocation and control of financial resources of a concern. The objectives can be-
Estimations have to be made in an adequate manner which increases earning capacity of enterprise.
This involves short-term and long-term debt equity analysis. This will depend upon the proportion of equity capital a company is possessing and additional funds which have to be raised from outside parties.
Choice of factor will depend on relative merits and demerits of each source and period of financing.
Cash is required for many purposes like payment of wages and salaries, payment of electricity and water bills, payment to creditors, meeting current liabilities, maintainance of enough stock, purchase of raw materials, etc.
This can be done through many techniques like ratio analysis , financial forecasting , cost and profit control, etc.
Financial management is a broad topic which encompasses a wide range of actions taken by corporations in order to maximize their financial value of the firm. These actions are generally guided by the policies being followed in the organization. These policies in turn are guided by some of the fundamental principles related to financial management.
The details related to the seven fundamental principles of financial management are as follows:
Financial management programs must ensure that the stakeholders are aware of this accountability. It is important to have periodic appraisals and feedback process in order to ensure accountability is maintained.
It is important for each organization to either adopt some of these principles or create their own principles with regards to financial management.
It is important to understand that financial management is not an exact science. There is no one size fits all approach which can be used with regards to financial management. Instead, companies may have to choose between different approaches.
Over the years, companies have realized that they need to choose amongst two or three commonly used financial management strategies and align their actions to the same. The purpose of the strategy is to clearly communicate to all stakeholders about what the firm is trying to achieve. The objectives must be clear, measurable and quantifiable.
Some of the strategies which are commonly used in financial management are as follows.
Hence, a profit maximization strategy for financial management is inherently focused on the short term. This means that the financial resources of the company need to be deployed to meet short term goals. Such a strategy may be useful for startups who need to show short term profitability in order to keep investor funds flowing.
There are many well known companies across the world which spend a lot of their financial resources on research and development. In the short run, this goes against the principles of profit maximization. However, in the long run, financial resources spent on research enables companies to produce better products, gain market share and increase their wealth. The same principles of financial management can be applied to companies who deploy their financial resources in branding, customer services and such other intangible assets.
The wealth maximization strategy of financial management is more important for mature companies or companies trying to disrupt their marketplace with technological innovation .
The level of risk which an organization is willing to bear must be carefully thought through. It is important for financial managers to clearly define the level of risk their willing to take in order to meet their financial objectives .
In the absence of a clearly defined risk measurement and mitigation strategy, the company may not be able to meet its strategic objectives using financial management tools and techniques.
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This study aimed to answer the following questions: 1. The demographic data in the existing literature on the the best practices of Financial Management in Education in terms of country, research design, and the number of participants. 2. The best practices of Financial Management in Education, and 3.
Managing innovative processes in the regional education system reflects the sequence of stages of management activities and the achievement of specific results (Figure 3), which involves analytical and prognostic, target, design, organizational, implementation, expert evaluation, reflective stages. The development of education is a purposeful ...
Using a teaching model framework, we systematically review empirical evidence on the impact of entrepreneurship education (EE) in higher education on a range of entrepreneurial outcomes, analyzing 159 published articles from 2004 to 2016. The teaching model framework allows us for the first time to start rigorously examining relationships between pedagogical methods and specific outcomes ...
(Anne Berg, 2015). As Hough (1993) there is a clearly great difference between the definitions of financial management in business and commerce with the financial management of an educational institution. He mention that it cannot be applied the definition of financial management in business to financial management in education.
t attention to detail and to policies and procedures. In addition, an effective budget manager, at any level, must follow institutional fiscal policies, meet deadlines, and solve problems before they. become major concerns to the institution or the unit. Sound and consistent fiscal management is an essenti.
The chronology of educational leadership and management. The origins and development of educational management as a distinct discipline have been chronicled by Hughes (1985), Hughes and Bush (1991), Bush (1999), Glatter (1999) and Bolam (2004). It began in the United States in the early part of this century.
This article examines the experiences of the educator as a key actor in entrepreneurship education. Since the 1990s, the education sector has been called upon to create more 'entrepreneurs' to find solutions to global problems leading to entrepreneurship education. The educator is a key participant in the process of entrepreneurship education, but too little is known or understood about ...
The relationship of enterprise education to broader educational goals is explored. The links with the so-called enterprise culture are examined and thereafter a nuumber of challenges — to industry and education management, and to small business and entrepreneurship education and training — are discussed. The paper concludes by reference to ...
4 International experience of promoting enterprise education 16 1. Current position of enterprise education in the school curriculum . Enterprise education is defined on the . DFE website. as follows: Enterprise education consists of enterprise capability, supported by financial capability and economic and business understanding.
micro-enterprise owner financial literacy education initiatives in South Africa are not tailored to the characteristics or business practices of the enterprises.
Enterprise education focuses on helping students develop entrepreneurial, life and employment skills to prepare them for life beyond school, usually with an emphasis on financial capability, enterprise capability, and economic and business understanding. Learning provides students the opportunity to identify, use and develop a range of skills ...
Entrepreneurship education will improve an individual's knowledge of enterprise and business ventures. 4. Entrepreneurship education will cultivate unique skills and enable individuals to think outside the box. 5. Entrepreneurship education will allow the individual to recognize commercial opportunities.
Economics, business and enterprise education is about equipping children and young people with the knowledge, skills and understanding to help them make sense of the complex and dynamic economic, business and financial environment in which they live. It should help them leave school well-informed and well-prepared to function as
Financial Management Explained: Scope, Objectives & Importance. In business, financial management is the practice of handling a company's finances in a way that allows it to be successful and compliant with regulations. That takes both a high-level plan and boots-on-the-ground execution.
For example, in the context of a bank in the Dominican Republic, Drexler et al. show that simplified levels of financial management training have larger impacts on real outcomes for micro entrepreneurs who have low educational attainment and poor business practices prior to the intervention, relative to more advanced businesses; 5 while Fairlie ...
Enterprise education bridges this gap. It's a company-wide initiative that goes beyond simply imparting skills. It cultivates a culture of continuous learning and innovation. This empowers employees at all levels to: Drive innovation and develop creative solutions to overcome complex challenges. Embrace change with agility, adapting to new ...
The three components of the Office of Management and Planning are 1) the Executive Office; 2) the Office of Hearings and Appeals (OHA); and 3) the Office of Enterprise Data Analytics and Risk Management (OEDARM). The Office of Management and Planning is led by a Deputy Assistant Secretary for Management and Planning, who advises the OFO ...
The Certificate of Management Excellence provides advanced learning that can help you expand your business management and leadership skills—and your career potential. You'll earn a meaningful credential that signifies your ongoing dedication to professional development, your hard work, and the breadth of your learning.
ding of the use of financial products and services by the population. This policy a. so calls for the development of programs to increase credit to MSMEs. Further, financial literacy and education continues t. be a key priority of Mexico's newly launched NFIS (2020 - 2024).With regard to financial educat.
The financial management is generally concerned with procurement, allocation and control of financial resources of a concern. The objectives can be-. To ensure regular and adequate supply of funds to the concern. To ensure adequate returns to the shareholders which will depend upon the earning capacity, market price of the share, expectations ...
It is planned that the 2024-25 frameworks will contain a web link to the crosswalk to allow users to view the most recent approved CIP to SOC assignments. For more information about these curriculum frameworks, contact the State Supervisor for Business Management & Administration Education at 850-245-9020. Business Management & Administration Home.
working capital management, financial structure management, financial planning, and control, and financial literacy was taken in to account. 5. Literature Review Turyahebwa, Sunday and Ssekajugo (2013) also analysed the relationship between financial management practice and business performance in case of small and medium
management and control of the business, which poses some threats on its sustainability considering that their predominant size, the volume of assets, and revenue earned is low. ... Financial education needs deciding how others are influenced when an individual settles on a budgetary choice (Buchanan, 2014; Kirman, 2010). It is an aggregate issue
Driving Nonprofit Performance and Innovation - Virtual Portia Espy Executive Director | William Winter Institute for Racial Reconciliation "I have a small cohort of colleagues and friends from the program. We meet virtually every other month to encourage one another to complete our stated goals (developed before completing the program), share best practices, resources, and tools, and have a ...
A longtime industry staple for small-business accounting software, QuickBooks Online offers four pricing plans, robust features and a variety of add-ons, albeit at a higher cost than many competitors.