22 resultados para Sector growth rapidness

em Aston University Research Archive


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It is generally believed that the structural reforms that were introduced in India following the macro-economic crisis of 1991 ushered in competition and forced companies to become more efficient. However, whether the post-1991 growth is an outcome of more efficient use of resources or greater use of factor inputs remains an open empirical question. In this paper, we use plant-level data from 1989–1990 and 2000–2001 to address this question. Our results indicate that while there was an increase in the productivity of factor inputs during the 1990s, most of the growth in value added is explained by growth in the use of factor inputs. We also find that median technical efficiency declined in all but one of the industries between 1989–1990 and 2000–2001, and that change in technical efficiency explains a very small proportion of the change in gross value added.

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Using data from the UK Census of Production, including foreign ownership data, and information from UK industry input-output tables, this paper examines whether the intensity of transactions linkages between foreign and domestic firms affects productivity growth in domestic manufacturing industries. The implications of the findings for policies promoting linkages between multinational and domestic firms in the UK economy are outlined.

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Using a large panel dataset of Chinese manufacturing enterprises during 1999-2005, which accounts for over 90% of China's industrial output, and robust econometric procedures we show that the Chinese banking system has helped to support the growth of both firm value added and TFP. We find that access to bank loans is positively correlated with future value added and TFP growth. We also find that firms with access to bank loans tend to grow faster in regions with greater banking sector development. While the effects of bank loans on firm growth are more pronounced in the case of purely private-owned and foreign firms, they are positive and statistically significant even in the case of state-owned and collectively-owned firms. We show that excluding loss-making firms from the sample does not change the qualitative nature of our results.

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This paper aims to contribute to the debate about the role of the public sector in stimulating greater use of private sector equity for business start-up and growth in two ways. First, to examine the extent to which the provision of public sector equity finance enables individual firms to raise additional funds in the private sector market place. Second, to consider the methodological implications for an economic impact assessment of industrial policy interventions (especially those which include an equity component) at the level of the individual firm. We assess the extent to which there may be indirect positive effects (externalities) associated with public sector financial assistance to individual firms and if so how they distort standard evaluation methodologies designed to estimate the level of additionality of that support. The paper draws upon the results of a recent study of the impact of Enterprise Ireland (EI) financial assistance to indigenous Irish industry in the period 2000 to 2002. The paper demonstrates that a process of re-calibration is necessary in estimates of economic impact in order to account for these positive externalities and the result in this study was a ‘boost’ to additionality. In operational and conceptual terms, the study underlines the importance of the relationship between private and public sector sources of equity finance as an important dynamic in the attempt by industrial and regional policy to stimulate the number of firms with viable investment proposals accessing external equity finance.

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This article presents an innovative approach to estimating the additionality of financial assistance awarded to firms by an Irish regional development agency. The 'self assessment approach' is used to derive estimates of deadweight and displacement for firms in the Shannon region of Ireland. Irish studies have derived high estimates of deadweight by international standards. In light of this, and the fact that successive Irish governments have placed emphasis on Foreign Direct Investment as an engine for growth, the primary objective here is to address the question of whether the type of firm ownership matters with respect to resulting deadweight and/or displacement estimates. The latter question is addressed using logistic regression analysis to test whether, ceteris paribus, firm ownership is a key-determining factor for estimates of deadweight and/or displacement. The results show that ownership does not matter in the case of deadweight, but regarding displacement there are differences between indigenous and foreign-owned firms albeit at very low levels. More precisely, as expected, indigenously owned firms are more likely to lead to higher estimates of displacement.

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This paper undertakes an empirical analysis of the economic effects of military spending on the South African economy. It estimates a neo-classical model common in the literature at the level of the macroeconomy and at the level of the manufacturing sector. An attempt is made to improve upon the model by allowing the data to determine the dynamic structure of the model through an ARDL procedure. No significant impact of military spending is found in aggregate, but there is a significant negative impact for the manufacturing sector. This suggests that the cuts in domestic military procurement that have occurred since 1989 could lead to improved economic performance in South Africa through their impact on the manufacturing sector.

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This study is about the role and operation of ‘third sector’ organisations (TSOs) within the Taiwanese social welfare context. TSOs have increased dramatically and become actively involved in social service provision. This phenomenon has not only had significant impact on the development and operation of TSOs in Taiwan but it is also of increasing interest to public policy academics. The latter are especially interested in the implications for the government-third sector relationship. This research examines the reasons why TSOs have been established, why they actively participate in social service provision, and their role and operation within the social welfare context of Taiwan. The study has both quantitative and qualitative data. It sampled ‘social service’ and ‘charitable’ organisations (SSCOs), which are the main type of TSOs in Taiwan, to examine their role, operation and interaction with government. Questionnaires were mailed to collect quantitative data first. After the quantitative data were collected and analysed, semi-structured interviews were undertaken to collect qualitative data. The study found that TSOs in Taiwan exist in a highly institutionalised environment, which is affected by traditional Confucian ideas and contemporary Western ideas such as social justice and civil rights. The rapid growth of TSOs has a strong connection with the desire to fill social service gaps left by government and family. TSOs mainly play the role of service provider rather than that of advocate. They cooperate with government in social service provision and have developed different types of symbiotic relationships with government. A ‘resonance effect’ between government and TSOs was also found as they implement social policy.

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This thesis explores the interrelationships between the labour process, the development of technology and patterns of gender differentiation. The introduction of front office terminals into building society branches forms the focus of the research. Case studies were carried out in nine branches, three each from three building societies. Statistical data for the whole movement and a survey of ten of the top thirty societies provided the context for the studies. In the process of the research it became clear that it was not technology itself but the way that it was used, that was the main factor in determining outcomes. The introduction of new technologies is occurring at a rapid pace, facilitated by continuing high growth rates, although front office technology could seldom be cost justified. There was great variety between societies in their operating philosophies and their reasons for and approach to computerisation, but all societies foresaw an ultimate saving in staff. Computerisation has resulted in the deskilling of the cashiering role and increased control over work at all stages. Some branch managers experienced a decrease in autonomy and an increase in control over their work. Subsequent to this deskilling there has been a greatly increased use of part time staff which has enabled costs to be reduced. There has also been a polarisation between career and non-career staff which, like the use of part time staff, has occurred along gender lines. There is considerable evidence that societies' policies, structures and managerial attitudes continue to directly and indirectly discriminate against women. It is these practices which confine women to lower grades and ensure their dependence on the family and which create the pool of cheap skilled labour that societies so willingly exploit by increasing part time work. Gender strategies enter management strategies throughout the operations of the organisation.

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Objectives The creation of more high-growth firms continues to be a key component of enterprise policy throughout the countries of the OECD. In the UK the developing enterprise policy framework highlights the importance of supporting businesses with growth potential. The difficulty, of course, is the ability of those delivering business support policies to accurately identify those businesses, especially at start-up, which will benefit from interventions and experiences an enhanced growth performance. This paper has a core objective of presenting new data on the number of high growth firms in the UK and providing an assessment of their economic significance. Approach This paper uses a specially created longitudinal firm-level database based on the Inter-Departmental Business Register (IDBR) held by the Office of National Statistics (ONS) for all private sector businesses in the UK for the period 1997-2008 to investigate the share of high-growth firms (including a sub-set of start-up more commonly referred to as gazelles) in successive cohorts of start-ups. We apply OECD definitions of high growth and gazelles to this database and are able to quantify for the first time their number (disaggregated by sector, region, size) and importance (employment and sales). Prior Work However, what is lacking at the core of this policy focus is any comprehensive statistical analysis of the scale and nature of high-growth firms in cohorts of new and established businesses. The evidence base in response to the question “Why do high-growth firms matter?” is surprisingly weak. Important work in this area has been initiated by Bartelsman et al., (2003),Hoffman and Jünge (2006) and Henreksen and Johansson (2009) but to date work in the UK has been limited (BERR, 2008b). Results We report that there are ~11,500 high growth firms in the UK in both 2005 and 2008. The share of high growth start-ups in the UK in 2005 (6.3%) was, contrary to the widely held perception in policy circles, higher than in the United States (5.2%). Of particular interest in the analysis are the growth trajectories (pattern of growth) of these firms as well as the extent to which they are restricted to technology-based or knowledge-based sectors. Implications and Value Using hitherto unused population data for the first time we have answered a fundamental research and policy question on the number and scale of high growth firms in the UK. We draw the conclusion that this ‘rare’ event does not readily lend itself to policy intervention on the grounds that the significant effort needed to identify such businesses ex ante would appear unjustified even if it was possible.

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This insightful book shows how small and medium enterprises (SMEs) from some of the traditionally less dynamic peripheral economies of the 'old' EU - namely Ireland, Italy, Portugal and Spain - have responded to the twin challenges of globalisation and industrial restructuring. Through a series of unique case studies the contributing authors discuss how these economies, and in particular the SME sector, can be transformed. The book begins by examining the key drivers of the globally competitive SME sector in the EU, before moving on to explore the relationship between multinational enterprises (MNEs), SMEs and industrial development. The authors investigate important policy implications and provide lessons for SME development and growth. With empirical and theoretical contributions on SMEs in both the manufacturing and the services sectors, this essential book will be invaluable for researchers and policymakers in small business economics and management. Postgraduate students of entrepreneurship, business economics, industrial economics and European studies will appreciate this unique set of insights.

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Using a large panel dataset of Chinese manufacturing enterprises during 1999-2005, which accounts for over 90% of China’s industrial output, and robust econometric procedures we show that the Chinese banking system has helped to support the growth of both firm value added and TFP. We find that access to bank loans is positively correlated with future value added and TFP growth. We also find that firms with access to bank loans tend to grow faster in regions with greater banking sector development. While the effects of bank loans on firm growth are more pronounced in the case of purely private-owned and foreign firms, they are positive and statistically significant even in the case of state-owned and collectively-owned firms. We show that excluding loss-making firms from the sample does not change the qualitative nature of our results.

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Traditional research in the context of product market entry has explored the strategic reactions of incumbent firms when threatened by the possibility of entry, and have identified industry-specific factors that affect entry rates. However, following de Soto (1989), there has been increasing emphasis on regulatory and institutional factors governing entry rates, especially in the context of developing countries. Using three-digit industry-level data from India, for the 1984–97 period, we examine the phenomenon of entry in the Indian context. Our empirical results suggest that during the 1980s industry-level factors largely explained variations in entry rates, but that, following the economic federalism brought about by the post-1991 reforms, variations in entry rates during the 1990s were explained largely by state-level institutional and legacy factors. Past productivity growth affects net entry rates as well.

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Using panel data pertaining to large Polish (non-financial) firms this paper examines the determinants of employment change during the period 1996-2002. Paying particular attention to the asymmetry hypothesis we investigate the impact of own wages, outside wages, output growth, regional characteristics and sectoral affiliation on the evolution of employment. In keeping with the 'right to manage' model we find that employment dynamics are not affected negatively by alternative wages. Furthermore, in contrast to the early transition period, we find evidence that employment levels respond to positive sales growth (in all but state firms). The early literature, (e.g. Kollo, 1998) found that labour hoarding lowered employment elasticities in the presence of positive demand shocks. Our findings suggest that inherited labour hoarding may no longer be a factor. We argue that the present pattern of employment adjustment is better explained by the role of insiders. This tentative conclusion is hinged on the contrasting behaviour of state and privatised companies and the similar behaviour of privatised and new private companies. We conclude that lower responsiveness of employment to both positive and negative changes in revenue in state firms is consistent with the proposition that rent sharing by insiders is stronger in the state sector.

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Guest editorial Ali Emrouznejad is a Senior Lecturer at the Aston Business School in Birmingham, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining. He has published widely in various international journals. He is an Associate Editor of IMA Journal of Management Mathematics and Guest Editor to several special issues of journals including Journal of Operational Research Society, Annals of Operations Research, Journal of Medical Systems, and International Journal of Energy Management Sector. He is in the editorial board of several international journals and co-founder of Performance Improvement Management Software. William Ho is a Senior Lecturer at the Aston University Business School. Before joining Aston in 2005, he had worked as a Research Associate in the Department of Industrial and Systems Engineering at the Hong Kong Polytechnic University. His research interests include supply chain management, production and operations management, and operations research. He has published extensively in various international journals like Computers & Operations Research, Engineering Applications of Artificial Intelligence, European Journal of Operational Research, Expert Systems with Applications, International Journal of Production Economics, International Journal of Production Research, Supply Chain Management: An International Journal, and so on. His first authored book was published in 2006. He is an Editorial Board member of the International Journal of Advanced Manufacturing Technology and an Associate Editor of the OR Insight Journal. Currently, he is a Scholar of the Advanced Institute of Management Research. Uses of frontier efficiency methodologies and multi-criteria decision making for performance measurement in the energy sector This special issue aims to focus on holistic, applied research on performance measurement in energy sector management and for publication of relevant applied research to bridge the gap between industry and academia. After a rigorous refereeing process, seven papers were included in this special issue. The volume opens with five data envelopment analysis (DEA)-based papers. Wu et al. apply the DEA-based Malmquist index to evaluate the changes in relative efficiency and the total factor productivity of coal-fired electricity generation of 30 Chinese administrative regions from 1999 to 2007. Factors considered in the model include fuel consumption, labor, capital, sulphur dioxide emissions, and electricity generated. The authors reveal that the east provinces were relatively and technically more efficient, whereas the west provinces had the highest growth rate in the period studied. Ioannis E. Tsolas applies the DEA approach to assess the performance of Greek fossil fuel-fired power stations taking undesirable outputs into consideration, such as carbon dioxide and sulphur dioxide emissions. In addition, the bootstrapping approach is deployed to address the uncertainty surrounding DEA point estimates, and provide bias-corrected estimations and confidence intervals for the point estimates. The author revealed from the sample that the non-lignite-fired stations are on an average more efficient than the lignite-fired stations. Maethee Mekaroonreung and Andrew L. Johnson compare the relative performance of three DEA-based measures, which estimate production frontiers and evaluate the relative efficiency of 113 US petroleum refineries while considering undesirable outputs. Three inputs (capital, energy consumption, and crude oil consumption), two desirable outputs (gasoline and distillate generation), and an undesirable output (toxic release) are considered in the DEA models. The authors discover that refineries in the Rocky Mountain region performed the best, and about 60 percent of oil refineries in the sample could improve their efficiencies further. H. Omrani, A. Azadeh, S. F. Ghaderi, and S. Abdollahzadeh presented an integrated approach, combining DEA, corrected ordinary least squares (COLS), and principal component analysis (PCA) methods, to calculate the relative efficiency scores of 26 Iranian electricity distribution units from 2003 to 2006. Specifically, both DEA and COLS are used to check three internal consistency conditions, whereas PCA is used to verify and validate the final ranking results of either DEA (consistency) or DEA-COLS (non-consistency). Three inputs (network length, transformer capacity, and number of employees) and two outputs (number of customers and total electricity sales) are considered in the model. Virendra Ajodhia applied three DEA-based models to evaluate the relative performance of 20 electricity distribution firms from the UK and the Netherlands. The first model is a traditional DEA model for analyzing cost-only efficiency. The second model includes (inverse) quality by modelling total customer minutes lost as an input data. The third model is based on the idea of using total social costs, including the firm’s private costs and the interruption costs incurred by consumers, as an input. Both energy-delivered and number of consumers are treated as the outputs in the models. After five DEA papers, Stelios Grafakos, Alexandros Flamos, Vlasis Oikonomou, and D. Zevgolis presented a multiple criteria analysis weighting approach to evaluate the energy and climate policy. The proposed approach is akin to the analytic hierarchy process, which consists of pairwise comparisons, consistency verification, and criteria prioritization. In the approach, stakeholders and experts in the energy policy field are incorporated in the evaluation process by providing an interactive mean with verbal, numerical, and visual representation of their preferences. A total of 14 evaluation criteria were considered and classified into four objectives, such as climate change mitigation, energy effectiveness, socioeconomic, and competitiveness and technology. Finally, Borge Hess applied the stochastic frontier analysis approach to analyze the impact of various business strategies, including acquisition, holding structures, and joint ventures, on a firm’s efficiency within a sample of 47 natural gas transmission pipelines in the USA from 1996 to 2005. The author finds that there were no significant changes in the firm’s efficiency by an acquisition, and there is a weak evidence for efficiency improvements caused by the new shareholder. Besides, the author discovers that parent companies appear not to influence a subsidiary’s efficiency positively. In addition, the analysis shows a negative impact of a joint venture on technical efficiency of the pipeline company. To conclude, we are grateful to all the authors for their contribution, and all the reviewers for their constructive comments, which made this special issue possible. We hope that this issue would contribute significantly to performance improvement of the energy sector.

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Despite the proliferation of e-business adoption by organisations and the world-wide growth of the e-business phenomenon, there is a paucity of empirical studies that examine the adoption of e-business in the Middle East. The aim of our study is to provide insights into the salient e-business adoption issues by focusing on Saudi Arabian businesses. We developed a conceptual model for electronic business (e-business) adoption incorporating nine factors. Survey data from 550 businesses were used to test the model and hypotheses. The findings of the study suggest that firm's technological readiness, top management Support, technology orientation, consumer readiness, trading partner readiness and regulatory support are important facilitators of e-business adoption. In addition, the study finds that, competitive pressure and organisational customer and competitor orientation is not a predictor for e-business adoption. The implications of the findings are discussed and suggestions for future inquiry are presented.