scholarly journals Public-sector resource allocation since the financial crisis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robert Elliott ◽  
Daniel Kopasker ◽  
Diane Skåtun
Keyword(s):  
Resource Allocation ◽  
Great Britain ◽  
Public Sector ◽  
Financial Crisis ◽  
Private Sector ◽  
Wage Differentials ◽  
Global Financial Crisis ◽  
Central Component ◽  
Allocation Model ◽  
Content Type

PurposeDistinguishing what employers in different areas of Great Britain need to pay to attract and retain labour has been a central component of public-sector resource allocation decisions. This paper examines how changes in the pattern of spatial wage differentials following the global financial crisis have impacted on the formulae which allocate government funding to local government and health providers in the NHS.Design/methodology/approachUsing employer-reported data on earnings, we examine spatial patterns of private-sector wages in Great Britain between 2007 and 2017. The method permits the analysis of finely defined geographical areas and controls for differences in industry and workforce composition to distinguish those differences that are attributable from unmeasured characteristics, such as differences between areas in the cost of living and amenities. These standardised spatial wage differentials (SSWDs) underpin the funding allocation formulae.FindingsThe analysis shows that since 2007 private-sector wage dispersion, both within and between regions, has reduced: lower paid areas have experienced a relative increase in wages and higher paid a relative decline. Over the period, there was a significant reduction in the London wage premium.Originality/valueThis paper demonstrates the importance of ensuring established policies are applied using contemporary data. The SSWDs used to distribute government funds have not been re-estimated for some time. As a result, the current resource allocation model has overcompensated the London region and undercompensated others during this period.

Assessing the impact of global financial crisis on the intermediation efficiency of Indian banks in the presence of non-performing loans

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anju Goswami
Keyword(s):  
Public Sector ◽  
Financial Crisis ◽  
Technical Efficiency ◽  
Global Financial Crisis ◽  
Foreign Banks ◽  
Undesirable Output ◽  
Content Type ◽  
Public Sector Banks ◽  
Indian Banks ◽  
The Impact

PurposeBy incorporating the role of nonperforming loans (NPLs), the study aims to assess the impact of global financial crisis (GFC) on the intermediation efficiency of Indian banks for the period of 1998/99 to 2016/17.Design/methodology/approachTo obtain efficiency level of Indian banks, this study applied sequential data envelopment analysis (DEA) based directional distance function (DDF) approach, which performed simultaneous expansion of desirable output and reduction of undesirable output in the bank's loan production structure. Additionally, using fixed effect regression approach in the panel data framework, this study assesses both the phenomenon of σ- and unconditional β-efficiency convergence in public sector banks (PSBs), private banks (PBs), foreign banks (FBs) and overall scheduled commercial banks (SCBs) during the pre-crisis, crisis and post-crisis years in India.FindingsIrrespective of the bank's production model, the evidence suggests that the accounting NPLs as an undesirable output significantly deteriorating the intermediation technical efficiency levels of Indian banks, especially after the crisis years until the last year of the study period. This reflects that Indian banks failed more to achieve their financial intermediation objective in the post-crisis years as compared to the crisis and pre-crisis years. In-depth, statistical evidence of commercial bank ownership groups reveals that public sector banks exhibit a higher level of efficiency in pursuance of traditional loan-based activity followed by private and foreign banks. The study also found the existence of sigma convergence in technical efficiency levels of Indian banks and ownership groups as well.Originality/valueThis study is perhaps the first one, which present the robust evolution of Indian banks intermediation efficiency by taking into account both endogenous (i.e. NPLs as an undesirable output and equity as a quasi-fixed input in the bank production process) crisis and exogenous (i.e. global financial and economic stress) crises. Moreover, none of the existing studies have conducted sub-period wise analysis to show the apparent occurrence of both convergence properties in technical efficiency, adding novelty in the literature.

Does the Russian Government Pay a "Fair" Wage: Review of Studies

2015 ◽  
pp. 62-85 ◽  
Author(s):  
T. Zhuravleva
Keyword(s):  
Labor Market ◽  
Public Sector ◽  
Private Sector ◽  
Wage Differentials ◽  
Omitted Variables ◽  
Russian Government ◽  
Correct Evaluation ◽  
Self Selection ◽  
Data Limitations ◽  
Fair Wage

This paper surveys the literature on public-private sector wage differentials for Russian labor market. We give an overview of the main results and problems of the existing research. The authors unanimously confirm that in Russia private sector workers receive higher wages relative to their public sector counterparts. According to different estimates the "premium" varies between 7 and 40%. A correct evaluation of this "premium" is subject to debate and is a particular case of a more general econometric problem of wage differentials estimation. The main difficulties are related to data limitations, self-selection and omitted variables. Reasons for the existence of a stable private sector "premium" in Russia are not fully investigated.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

Relationship between CSR motivations and corporate social performance: a study in the power industry in India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Moumita Acharyya ◽  
Tanuja Agarwala
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Corporate Social Performance ◽  
Social Performance ◽  
Power Sector ◽  
Public And Private ◽  
Content Type ◽  
The Public ◽  
Self Interest ◽  
Public And Private Sector

PurposeThe paper aims to understand the different motivations / reasons for engaging in CSR initiatives by the organizations. In addition, the study also examines the relationship between CSR motivations and corporate social performance (CSP).Design/methodology/approachThe data were collected from two power sector organizations: one was a private sector firm and the other was a public sector firm. A comparative analysis of the variables with respect to private and public sector organizations was conducted. A questionnaire survey was administered among 370 employees working in the power sector, with 199 executives from public sector and 171 from private sector.Findings“Philanthropic” motivation emerged as the most dominant CSR motivation among both the public and private sector firms. The private sector firm was found to be significantly higher with respect to “philanthropic”, “enlightened self-interest” and “normative” CSR motivations when compared with the public sector firms. Findings suggest that public and private sector firms differed significantly on four CSR motivations, namely, “philanthropic”, “enlightened self-interest”, “normative” and “coercive”. The CSP score was significantly different among the two power sector firms of public and private sectors. The private sector firm had a higher CSP level than the public sector undertaking.Research limitations/implicationsFurther studies in the domain need to address differences in CSR motivations and CSP across other sectors to understand the role of industry characteristics in influencing social development targets of organizations. Research also needs to focus on demonstrating the relationship between CSP and financial performance of the firms. Further, the HR outcomes of CSR initiatives and measurement of CSP indicators, such as attracting and retaining talent, employee commitment and organizational climate factors, need to be assessed.Originality/valueThe social issues are now directly linked with the business model to ensure consistency and community development. The results reveal a need for “enlightened self-interest” which is the second dominant CSR motivation among the organizations. The study makes a novel contribution by determining that competitive and coercive motivations are not functional as part of organizational CSR strategy. CSR can never be forced as the very idea is to do social good. Eventually, the CSR approach demands a commitment from within. The organizations need to emphasize more voluntary engagement of employees and go beyond statutory requirements for realizing the true CSR benefits.

What drives the venture capital investments in China?

2019 ◽  
Vol 13 (3) ◽  
pp. 574-602 ◽  
Author(s):  
Yixi Ning ◽  
Gubo Xu ◽  
Ziwu Long
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
High Growth ◽  
Investment Strategies ◽  
Stock Market Crash ◽  
Content Type ◽  
Risk Levels ◽  
Aggregate Amount ◽  
A Share

Purpose This study aims to examine the venture capital (VC) industry in China. It has demonstrated a history of high growth with significant variations over time. The authors have examined the trends and determinants of VC investments in China over a 20-year period from 1995 to 2014. They find that the aggregate amount of VC investments, the total number of venture deals and the average amount of venture investments per deal in China are all significantly impacted by macroeconomic conditions (i.e. GDP, export, money supply), technology innovations and financial market indicators (i.e. initial public offerings (IPOs), interest rate, price-to-earnings ratio, etc.). They also find that the 2007 China A-Share stock market crash and the subsequent global financial crisis have motivated VCists in China to adjust their investment strategies and risk levels by allocating more capital to later-stage investments and securing more deals with later-round financings. However, after the 2008 global financial crisis, the China’s venture industry has recovered faster compared to the US counterpart response. Design/methodology/approach The authors first perform trend analysis of VC investments at an aggregate level, by stages of development, and across industry from 1995 to 2014.To test H1 and H2, the authors use multiple regression models with lagged explanatory variables. To test H3, the authors use univariate tests to compare the measures of VC investments at an aggregate level, stage funds ratios, stage deals ratios and financing series ratios during both a five-year and seven-year time windows around the 2007 A-Share stock market crash and the subsequent financial crisis. Findings The development of the VC industry in China has demonstrated a history of high growth with significant variation over time. The authors find that the aggregate amount of VC investments, the total number of venture deals and the average amount of venture investments per deal in China are all significantly impacted by macroeconomic conditions (i.e. GDP, export, money supply), technology innovations and financial market indicators (i.e. IPOs, interest rate, price-to-earnings ratio, etc.). The authors also find that the 2007 China A-Share stock market crash and the subsequent global financial crisis have motivated VCists in China to adjust their investment strategies and risk by allocating more capital to later-stage investments and securing more deals with later-round financings. However, the China VC industry has recovered faster compared to the USA just after the 2008 global financial crisis. Research limitations/implications There are also limitations in the study. The VC data in China in the earlier 1990s might not be very reliable due to the quality of statistics. Therefore, the trend analysis and discussions mainly focus on the time after 2000. Also, the authors cannot find VC financing sequence data for the analysis. Second, there is no doubt that the policy impact from Chinese transforming economic system and government policies on its VC industry is substantial (Su and Wang, 2013). However, they cannot find an appropriate variable to be included in the empirical models to consider this effect. Further study on this area would provide meaningful information. Third, although the authors have done comparison study between the VC industry in China in this study and the VC industry in the US documented in Ning et al. (2015) and discussed some interesting findings, more in-depth research in this area will be very useful. Practical implications The findings have meaningful implications for VCists and start-up companies seeking equity financings in China. VCists should closely monitor macroeconomic and market conditions to make appropriate adjustments to their risk and investment strategies. Entrepreneurs seeking equity financings for their business could also monitor the identified macroeconomic and market indicators, which can help them with their timing and to negotiate a better equity financing deal. VC financing is more likely to succeed when key macroeconomic and market indicators become favorable. Originality/value This paper contributes to the literature by testing the supply and demand theory on the VC market proposed by Poterba (1989) and Gompers and Lerner (1998) from the macroeconomic perspective using 20 years’ VC data from China. The authors also examine how the 2007 A-Share stock market crash and the subsequent financial crisis affected VCists to adjust their risk levels and investment strategies. It provides useful information for international academia and policymakers to understand the quick rise of China VC industry. The authors also find that the macroeconomic drivers of VC industry are somewhat different under different economic systems.

Leveraging business intelligence systems to enhance management control and business process performance in the public sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Z. Elbashir ◽  
Steve G. Sutton ◽  
Vicky Arnold ◽  
Philip A. Collier
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Performance Measurement ◽  
Knowledge Creation ◽  
New Technologies ◽  
Top Management ◽  
Process Performance ◽  
Content Type ◽  
The Public ◽  
Public Sector Organizations

Purpose Recent research and policy reports indicate public sector organizations struggle to leverage information technology-based performance measurement systems and fail to effectively evaluate performance beyond financial metrics. This study aims to focus on organizational factors that influence the assimilation of business intelligence (BI) systems into integrated management control systems and the corollary impact on improving business process performance within public sector organizations. Design/methodology/approach The complete Australian client list was acquired from a leading BI vendor; and the authors surveyed all public sector organizations, receiving 226 individual responses representing 160 public sector organizations in Australia. Using latent construct measurement, structural equation modeling (SEM)-partial least squares is used to test the theoretical model. Findings When top management promotes knowledge creation among the organization’s operational level employees and support their activities with strong BI infrastructure, the same knowledge and infrastructure capabilities that are critical to assimilation in private sector hold in the public sector. However, public sector organizations generally have difficulty retaining staff with expertise in new technologies and attracting new innovative staff that can leverage smart systems to effect major change in performance measurement. When top management effectively manages knowledge importation from external entities to counteract deficiencies, public sector organizations effectively assimilate BI knowledge into performance measurement yielding strong process performance. Research limitations/implications When top management promotes knowledge creation among the organization’s operational level employees and support their activities with strong BI infrastructure, the same knowledge and infrastructure capabilities critical to assimilation in the private sector hold in the public sector. However, public sector organizations generally have difficulty retaining staff with expertise in new technologies and attracting new innovative staff that can leverage smart systems to effect major change in performance measurement. The research extends the theory behind organizational absorptive capacity by highlighting how knowledge importation can be used as an external source facilitating internal knowledge creation. This collaborative knowledge creation leads to affective assimilation of BI technologies and associated performance gains. Practical implications The results provide guidance to public sector organizations that struggle to measure and validate service outcomes under New Public Management regulations and mandates. Originality/value The results reveal that consistent with the philosophies behind New Public Management strategies, private sector measures for increasing organizational absorptive capacity can be applied in the public sector. However, knowledge importation appears to be a major catalyst in the public sector where the resources to retain skilled professionals with an ability to leverage contemporary technologies into service performance are often very limited. Top management team knowledge and skills are critical to effectively leveraging these internal and external knowledge creation mechanisms.

Research from China finds no significant difference in impact of public service motivation (PSM) in public and private sectors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Employee Performance ◽  
Intention To Leave ◽  
Public And Private ◽  
Content Type ◽  
The Public ◽  
Significant Difference ◽  
Set Up ◽  
The Impact

Purpose The authors assumed PSM would be higher in the public sector, but they set up a trial to find out if this was the case. Design/methodology/approach To test their theories, the authors conducted two independent surveys. The first consisted of 220 usable responses from public sector employees in Changsha, China. The second survey involved 260 usable responses from private sector employees taking an MBA course at a university in the Changsha district. A questionnaire was used to assess attitudes. Findings The results found no significant difference between the impact of public sector motivation (PSM) on employee performance across the public and private sectors. The data showed that PSM had a significant impact on self-reported employee performance, but the relationship did not differ much between sectors. Meanwhile, it was in the private sector that PSM had the greatest impact on intention to leave. Originality/value The authors said the research project was one of the first to test if the concept of PSM operated in the same way across sectors. It also contributed, they said, to the ongoing debate about PSM in China.

Global financial crisis, ownership structure and firm financial performance

2017 ◽  
Vol 34 (4) ◽  
pp. 447-465 ◽  
Author(s):  
Ali Salman Saleh ◽  
Enver Halili ◽  
Rami Zeitun ◽  
Ruhul Salim
Keyword(s):  
Financial Crisis ◽  
Financial Performance ◽  
Ownership Structure ◽  
Family Firms ◽  
Global Financial Crisis ◽  
Ownership Concentration ◽  
Financial Leverage ◽  
Content Type ◽  
Crisis Period ◽  
The Global Financial Crisis

Purpose This paper aims to investigate the financial performance of listed firms on the Australian Securities Exchange (ASX) over two sample periods (1998-2007 and 2008-2010) before and during the global financial crisis periods. Design/methodology/approach The generalized method of moments (GMM) has been used to examine the relationship between family ownership and a firm’s performance during the financial crisis period, reflecting on the higher risk exposure associated with capital markets. Findings Applying firm-based measures of financial performance (ROA and ROE), the empirical results show that family firms with ownership concentration performed better than nonfamily firms with dispersed ownership structures. The results also show that ownership concentration has a positive and significant impact on family- and nonfamily-owned firms during the crisis period. In addition, financial leverage had a positive and significant effect on the performance of Australian family-owned firms during both periods. However, if the impact of the crisis by sector is taking into account, the financial leverage only becomes significant for the nonmining family firms during the pre-crisis period. The results also reveal that family businesses are risk-averse business organizations. These findings are consistent with the underlying economic theories. Originality/value This paper contributes to the debate whether the ownership structure affects firms’ financial performance such as ROE and ROA during the global financial crisis by investigating family and nonfamily firms listed on the Australian capital market. It also identifies several influential drivers of financial performance in both normal and crisis periods. Given the paucity of studies in the area of family business, the empirical results of this research provide useful information for researchers, practitioners and investors, who are operating in capital markets for family and nonfamily businesses.

scholarly journals Changes of China’s agri-food exports to Germany caused by its accession to WTO and the 2008 financial crisis

2015 ◽  
Vol 7 (2) ◽  
pp. 262-279 ◽  
Author(s):  
Zhichao Guo ◽  
Yuanhua Feng ◽  
Thomas Gries
Keyword(s):  
Time Series ◽  
Financial Crisis ◽  
Regression Models ◽  
Structural Breaks ◽  
Global Financial Crisis ◽  
Middle Part ◽  
Change Points ◽  
Content Type ◽  
The World ◽  
Before And After

Purpose – The purpose of this paper is to investigate changes of China’s agri-food exports to Germany caused by China’s accession to WTO and the global financial crisis in a quantitative way. The paper aims to detect structural breaks and compare differences before and after the change points. Design/methodology/approach – The structural breaks detection procedures in this paper can be applied to find out two different types of change points, i.e. in the middle and at the end of one time series. Then time series and regression models are used to compare differences of trade relationship before and after the detected change points. The methods can be employed in any economic series and work well in practice. Findings – The results indicate that structural breaks in 2002 and 2009 are caused by China’s accession to WTO and the financial crisis. Time series and regression models show that the development of China’s exports to Germany in agri-food products has different features in different sub-periods. Before 1999, there is no significant relationship between China’s exports to Germany and Germany’s imports from the world. Between 2002 and 2008 the former depends on the latter very strongly, and China’s exports to Germany developed quickly and stably. It decreased, however suddenly in 2009, caused by the great reduction of Germany’s imports from the world in that year. But China’s market share in Germany still had a small gain. Analysis of two categories in agri-food trade also leads to similar conclusions. Comparing the two events we see rather different patterns even if they both indicate structural breaks in the development of China’s agri-food exports to Germany. Originality/value – This paper partly originally proposes two statistical algorithms for detecting different kinds of structural breaks in the middle part and at the end of a short-time series, respectively.

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