Exploring the antecedents of industry globalization: a longitudinal investigation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rakesh B. Sambharya ◽  
Abdul A. Rasheed ◽  
Farok J. Contractor
Keyword(s):  
Structural Characteristics ◽  
Capital Intensity ◽  
Life Cycle Stage ◽  
Manufacturing Industries ◽  
Policy Implications ◽  
Industry Concentration ◽  
Barriers To Entry ◽  
Content Type ◽  
Industry Regulation ◽  
Industry Level

PurposeThere is considerable variation in the extent of globalization across industries. The authors attempt to identify the structural conditions of the industry that lead to these variations.Design/methodology/approachBased on a sample of 33 manufacturing industries over the nine-year period from 2007 to 2016, the authors test for antecedents of industry globalization.FindingsThe authors find that industry globalization is positively affected by medium levels of barriers to entry, industry competition, industry assistance, low and mediums levels of capital intensity, industry concentration and industry regulation and negatively affected by low levels of technological change and industry assistance. In addition, the life cycle stage of the industry has an impact on the level of globalization with the growth stage having the highest level of globalization.Research limitations/implicationsFirst, the major limitation of the paper is that the authors rely entirely on trade data to measure the level of industry globalization. The authors did not have a choice because foreign direct investment (FDI) data are available only at the country level. Second, given that globalization can occur at the country, industry and firm levels, the focus on industry-level structural characteristics alone may be seen as a limitation.Practical implicationsThe results of the study can provide guidance to practicing managers to apply industry analysis for predicting the potential for and direction of globalization of their industries. This will enable them to formulate appropriate strategies to cope with global competition.Social implicationsThe study has important public policy implications. National governments have many levers at their command that can be used to influence the structural characteristics of industries, such as industry regulation, industry assistance and industry concentration. They can selectively use these levers to either facilitate or impede globalization.Originality/valueMuch of the empirical focus of prior research on globalization has been on countries, rather than industries, as the unit of analysis. There is clearly variation in the extent of globalization across industries with some industries highly integrated while others remain primarily local or regional. Based on a novel approach to measure the extent of globalization at the industry level, the authors identify its antecedents. The value of the paper lies in the fact that the analysis of 33 manufacturing industries over a ten-year period shows that the structural characteristics of the industries drive their extent of globalization.

Productive contribution of local and foreign workers in Singapore manufacturing industries

2016 ◽  
Vol 43 (3) ◽  
pp. 380-399 ◽  
Author(s):  
Shandre Mugan Thangavelu
Keyword(s):  
Panel Data ◽  
Capital Investment ◽  
Manufacturing Sector ◽  
Sustainable Growth ◽  
Policy Implications ◽  
Foreign Workers ◽  
Content Type ◽  
Industry Level ◽  
Manufacturing Productivity ◽  
The Impact

Purpose – The purpose of this paper is to study the impact of large inflow of foreign workers on the Singapore manufacturing productivity using a panel data at the disaggregated industry level from 1998 to 2008. The results indicate that foreign workers do make productive contribution to manufacturing productivity, but it is much lower as compared to local workers. However, the author observe the declining capital-labour ratio with the increase in the flow of foreign workers. This is expected to have direct impact on the competitiveness of the manufacturing in the export market. Since new technologies are embodied in new capital investment, the declining capital-labour ratio indicates that workers might be producing output with less technology-intensive capital. Conversely, local workers are more productive with high capital investment, indicating that local workers are more skilled and hence there is more complementarity between capital investments and local human capital. Design/methodology/approach – The author implement a panel estimation of disaggregated industry level data of Singapore manufacturing from 1998 to 2008. The author use GMM estimation to control for any endogeneity issues in the estimation. Findings – The results indicate that foreign workers do make productive contribution to manufacturing productivity; but it is much lower as compared to local workers. However; the author observe the declining capital-labour ratio with the increase in the flow of foreign workers. Research limitations/implications – The data for foreign workers at the disaggregated level is not publically available and this is given for this research purpose. The data for foreign workers is limited as it does not have by educational levels. Practical implications – This is the first paper to study impact of foreign workers on manufacturing sector at a disaggregated panel data. There are important policy implications for managing foreign workers and achieving sustainable growth for the Singapore economy. Social implications – The welfare and social impacts of foreign workers on the Singapore economy is discussed. There is also the issue of policy calibration to balance the flow of foreign workers in the Singapore economy. Originality/value – This is the first paper to study impact of foreign workers on manufacturing sector at a disaggregated panel data.

scholarly journals Financing costs and barriers to entry in Australia’s electricity market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alan Rai ◽  
Tim Nelson
Keyword(s):  
Electricity Generation ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Policy Implications ◽  
Free Text ◽  
Barriers To Entry ◽  
Content Type ◽  
Australian Context ◽  
Financing Costs ◽  
Nodal Pricing

Purpose This paper aims to provide investors’ views on financing costs and barriers to entry into the electricity generation sector, with a focus on investors’ views on potential impacts on cost of capital from adopting nodal pricing and financial transmission rights (FTRs). The implications for policymakers and policy reforms are also discussed in detail. Design/methodology/approach Survey-based data collection of investors and developers in electricity generation, consisting of multiple choice questions from a closed list of discrete choices, binary-choice questions, and questions with free-text/open-ended answers. Findings Across survey respondents, weighted-average cost of capital (WACCs) were broadly unchanged over 2019, with increases for undiversified/non-integrated participants offset by decreases for horizontally integrated participants. Cost of equity has risen, whereas cost of debt has fallen. Nodal pricing-cum-FTRs were estimated to increase WACCs by 150–200 basis points p.a. (15–20%), reflecting concerns around the firmness of FTRs and ability to automatically access intraregional settlement residues. Research limitations/implications These findings have energy policy implications, namely, the need to consider the interaction between economic theory and real-world financing models when designing and implementing fundamental energy sector reforms. Practical implications The need to consider implementation and transitional issues (e.g. grandfathering of existing rights, focusing on reducing the largest barriers to entry) is associated with implementing nodal pricing. Originality/value Unique set of survey questions and insights that have not previously been addressed in an Australian context; what-if analysis not previously done in an Australian context

Industry characteristics and earnings management: a study of Malaysian industries

2018 ◽  
Vol 13 (5) ◽  
pp. 837-854
Author(s):  
Shaista Wasiuzzaman
Keyword(s):  
Earnings Management ◽  
Management Practices ◽  
Capital Intensity ◽  
Total Sample ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Management Activity ◽  
Content Type ◽  
Industry Level

PurposeThe purpose of this paper is to detect variations in earnings management activity across industries and the possible influence of various industry variables on these variations.Design/methodology/approachA total sample of 4,249 firm-year observations from 13 different industries spanning a total of eight years (from 2005 to 2012) is used for this purpose. The ordinary least squares regression technique is used to test the influence of various industry variables on earnings management activity.FindingsThe findings indicate the presence of earnings management practices in Malaysian industries. Among industry-level variables, capital intensity, volatility and profitability are found to influence aggregate earnings management. Further analysis shows that volatility only influences the smoothing measure while profitability influences the discretionary measure. Interestingly, industry competitiveness and leverage are not able to explain the variations in earnings management across industries.Originality/valueTo the authors’ knowledge, this is the first study which documents the role of various industry characteristics in influencing earnings management activity. It highlights the importance of considering industry-level variables in a study on earnings management and, hence, adds to the growing literature on earnings management.

Smart specialisation in the tangled web of European inter-regional trade

2014 ◽  
Vol 17 (4) ◽  
pp. 472-491 ◽  
Author(s):  
Carlo Gianelle ◽  
Xabier Goenaga ◽  
Ignacio González Vázquez ◽  
Mark Thissen
Keyword(s):  
Structural Characteristics ◽  
Trade Flows ◽  
Policy Implications ◽  
Policy Framework ◽  
Regional Economies ◽  
The European Union ◽  
Regional Innovation ◽  
Regional Trade ◽  
Content Type ◽  
Smart Specialisation

Purpose – The purpose of this paper is to present a new methodology to assess the outward connectivity among regional economies in the European Union (EU) and derives policy lessons for the design of regional innovation and competitiveness-enhancing strategic frameworks, with particular reference to research and innovation strategies for smart specialisation (RIS3). Design/methodology/approach – The authors study the network of inter-regional trade flows in the EU25 in the year 2007. Trade data are taken from the PBL Netherlands Environmental Assessment Agency database and mapped onto weighted directed networks in which the nodes represent regions and the links are flows of goods. The authors measure several structural characteristics of the networks, both global properties and centrality indicators describing the position of individual regions within the system. Findings – European regions appear to be mostly integrated in the European single market. Strengths and weaknesses of individual regions are discussed based on rankings obtained from network centrality indicators. Specific policy implications in the context of RIS3 are derived in the case of the Spanish region of Andalusia. Practical implications – The authors show the potential of the methodology for providing a new family of indicators of the external connectivity of regional economies that can be used by regions wishing to develop their own RIS3 for 2014-2020, as required by the EU in the context of the new cohesion policy framework. Originality/value – The characteristics of a EU-wide inter-regional network of trade flows are obtained and thoroughly discussed for the first time. A unique and original instrument suitable for inter-regional comparison is developed and tested.

scholarly journals SME credit constraints and access to informal credit markets in Vietnam

2020 ◽  
Vol 47 (6) ◽  
pp. 787-807 ◽  
Author(s):  
Lan Archer ◽  
Parmendra Sharma ◽  
Jen-Je Su
Keyword(s):  
Peer Review ◽  
Credit Markets ◽  
Credit Constraints ◽  
Policy Implications ◽  
Informal Credit ◽  
Banking Services ◽  
Content Type ◽  
Credit Access ◽  
Access Policy ◽  
Correlated Random Effects

PurposeA review of literature has documented that accessing formal credit and other banking services has always been a crucial challenge for small and medium-sized enterprises (SMEs). The alternative, therefore, tends to be informal channels. However, the credit constraint vis-à-vis informal channel link does not appear to be well documented in the literature. This study aims to investigate whether credit constraints significantly affect the probability of accessing informal credit, as well as the credit values of Vietnamese SMEs.Design/methodology/approachThis study uses a trinary approach and correlated random-effects Probit and Tobit techniques to avoid the incidental coefficients problem.FindingsThe results suggest that relative to unconstrained and partially constrained firms, fully constrained firms tend to be more active in the informal credit markets, shown by their higher probability of informal credit access and larger credit values.Originality/valueTo the best of authors’ knowledge, this is the first study on Vietnam that takes a different approach to credit constraints and examines their impact on informal credit access. Policy implications arise and are discussed.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2017-0543

scholarly journals Effects of Institutions on Spatial Patterns of Manufacturing Industries and Policy Implications in Metropolitan Areas: A Case Study of Wuhan, China

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 710
Author(s):  
Min Zhou ◽  
Man Yuan ◽  
Yaping Huang ◽  
Kaixuan Lin
Keyword(s):  
Spatial Patterns ◽  
Policy Development ◽  
Manufacturing Industries ◽  
Policy Implications ◽  
Land Policy ◽  
Spatial Transformation ◽  
Development Zone ◽  
Analysis Technique ◽  
Spatial System ◽  
Big Cities

Manufacturing space is a spatial system that combines the interaction between capital and institutions at the enterprise, industry, and spatial levels. It is also an important functional type that promotes the spatial evolution of big cities. Most studies focus on the effects of a single institutional type on the manufacturing space of big cities and lack systematic and complete exploration of the institutional mechanism. Current empirical research on typical industrial cities in China is insufficient. This study uses a GIS spatial analysis technique and a Poisson regression model to analyze the mechanism by which institutions have influenced the spatial patterns of manufacturing industries in the Wuhan metropolitan area since the 1990s. The results show that land policy, development zone policy, urban planning, transportation strategy, and eco-environmental policy all have a significant impact on the restructuring process and distribution pattern of the manufacturing industries through incentives and constraints. This study expands our understanding of the influence mechanism of manufacturing spatial patterns and proposes spatial guiding strategies and policy implications for the spatial transformation of urban manufacturing.

Do intraday week effect in currencies hourly trading reflect leverage and asymmetric anomalies? Policy implications for traders

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wajid Shakeel Ahmed ◽  
Muhammad Sohaib ◽  
Jamal Maqsood ◽  
Ateeb Siddiqui
Keyword(s):  
Emerging Economies ◽  
Garch Model ◽  
Study Data ◽  
Policy Implications ◽  
Asymmetric Effect ◽  
Data Set ◽  
Content Type ◽  
Study Results ◽  
Rational Choices ◽  
Trading Pattern

Purpose The purpose of this study is to determine if intraday week (IDW) effect of the currencies reflect leverage and asymmetric impact in currencies market. The study data set comprises of intraday patterns of 15 currencies from developed and emerging economies. Design methodology approach The study applies the exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model technique to observe the IDW leverage and asymmetric effect after introducing hourly dummies variables, namely, IDWmon, IDWwed, IDWfrid and IDWfrid-mon. Findings The study results favor the propositions and confirm that IDW effect do exist in the international forex markets in relation to hourly trading pattern for respective currencies. Mostly, currencies do depreciate on Monday and Wednesday compared to the rest of the days. However, on the last trading day, i.e. Friday currencies observe an appreciation pattern which is for both economies. The results have an evidence of leverage and asymmetric effect confirmed by the E-GARCH model as a result of press releases and influence by micro-factors in the currency markets. Practical implications The study believes to have theoretical connection related to the better understanding of currencies trend for developed and emerging economies, as the IDW effect exists. Moreover, confirmation of both the leverage and asymmetric effect in observed currencies would be able to assist the investors in making rational choices during the trading hours and would confirm considerable profits through profit incentivized strategies. Originality value The study not only add knowledge to the previous study work in relation to the hourly trading pattern of currencies with reference to the IDW effects but also highlights the leverage and asymmetric effect in currencies that will help in formulating future trading strategies particular to emerging economies.

Identification of asset life cycle stage: case study in heavy-duty truck fleet

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oscar Daniel Rivera Baena ◽  
Maria Valentina Clavijo Mesa ◽  
Carmen Elena Patino Rodriguez ◽  
Fernando Jesus Guevara Carazas
Keyword(s):  
Life Cycle ◽  
Design Methodology ◽  
Life Cycle Stage ◽  
Waste Collection ◽  
Content Type ◽  
Heavy Duty Truck ◽  
Maintenance Work ◽  
Operational Decision Making ◽  
The Moment

PurposeThis paper aims to determine the stage of the life cycle where the trucks of a waste collection fleet from a Colombian city are located through a reliability approach. The reliability analysis and the evaluation of curve of operational costs allow to know the moment in which it is necessary to make decisions regarding an asset, its maintenance or possible replacement.Design/methodology/approachFor a dataset presented as maintenance work orders, the time to failures (TTFs) for each vehicle in the fleet were calculated. Then, a probability density function for those TTFs was fitted to locate each vehicle in a region of the bathtub curve and to calculate the reliability of the whole fleet. A general functional analysis was also developed to understand the function of the vehicles.FindingsIt was possible to determine that the largest proportion of the fleet was in the final stage of the life cycle, in this sense, the entire fleet represent critical assets which in most of cases could be worth replacement or overhaul.Originality/valueIn this study, an address is exposed for the identification of critical equipment by reliability and statistical analysis. This analysis is also integrated with the maintenance management process. This is a broadly interested topic since it allows to support the maintenance and operational decision-making process, indicating the focus of resource allocation all over the entire asset life cycle.

The effect of export tax rebates on product quality: evidence from China's agricultural product processing industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Liang ◽  
Jingqi Dang ◽  
Shuai Chen
Keyword(s):  
Quality Improvement ◽  
Product Quality ◽  
Policy Implications ◽  
Medium Size ◽  
Agricultural Product ◽  
Firm Innovation ◽  
Processing Industry ◽  
Content Type ◽  
Export Tax

PurposeThis study aims to establish the linkage among export tax rebate (ETR), firm innovation and product quality of Chinese agricultural product processing industry (APPI), so that more targeted policy implications can be discussed.Design/methodology/approachUsing highly disaggregated firm-product-destination-level data through 2001 to 2013 of Chinese APPI, this study employs a two-way fixed effects specification to establish the linkage between ETR and product quality, while the mediational model is adopted to examine potential mechanisms.FindingsBaseline estimates show that a 1% increase in ETR rate leads to a significant increase in the product quality of APPI by 0.12% on the whole. However, there is a nonlinear, inverse-U shaped relationship between ETR and product quality, and the optimal inflection point occurs when ERT rate equals 0.15. Mechanism analyses show that firm innovation is an important impact channel, which explains 9.8% of quality improvement induced by raising ETR. Further heterogeneous analyses reveal both the total effects of ETR on product quality and the mediation effects of innovation are dominated by young SMEs (small and medium-size enterprises).Practical implicationsAuthorities can promote the innovation and then product quality improvement of young SMEs by moderately increasing ETR rate. To ensure ETR more effective in improving quality, it is necessary for the government to encourage innovation. Authorities can reduce the risk of innovation failure for low-tech firms by increasing R&D subsidies, while ensuring innovation returns for high-tech firms in combination with stronger intellectual property protection.Originality/valueFirst, this is one of the earlier studies to explore the relationship between ETR and product quality specifically for Chinese APPI. Second, we show firm innovation as an important mediator so that policies aim at raising ETR rates are eventually beneficial to product quality. Third, using the highly disaggregated data, we allow ETR rate to vary across different products, which is an improvement in the accuracy of previous literature. Finally, our research provides additional empirical evidence for revealing the micro-mechanism of ETR affecting firm behaviors.

Different firm responses to the COVID-19 pandemic shocks: machine-learning evidence on the Vietnamese labor market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lam Hoang Viet Le ◽  
Toan Luu Duc Huynh ◽  
Bryan S. Weber ◽  
Bao Khac Quoc Nguyen
Keyword(s):  
Machine Learning ◽  
Labor Market ◽  
Large Scale ◽  
Government Support ◽  
Policy Implications ◽  
Machine Learning Techniques ◽  
Firm Characteristics ◽  
Data Set ◽  
Content Type ◽  
Firm Responses

PurposeThis paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets.Design/methodology/approachThe authors conduct a large-scale survey on 16,000 firms from 82 industries in Ho Chi Minh City, Vietnam, and analyze the data set by using different machine-learning methods.FindingsFirst, job loss and reduction in state-owned enterprises have been significantly larger than in other types of organizations. Second, employees of foreign direct investment enterprises suffer a significantly lower labor income than those of other groups. Third, the adverse effects of the COVID-19 pandemic on the labor market are heterogeneous across industries and geographies. Finally, firms with high revenue in 2019 are more likely to adopt preventive measures, including the reduction of labor forces. The authors also find a significant correlation between firms' revenue and labor reduction as traditional econometrics and machine-learning techniques suggest.Originality/valueThis study has two main policy implications. First, although government support through taxes has been provided, the authors highlight evidence that there may be some additional benefit from targeting firms that have characteristics associated with layoffs or other negative labor responses. Second, the authors provide information that shows which firm characteristics are associated with particular labor market responses such as layoffs, which may help target stimulus packages. Although the COVID-19 pandemic affects most industries and occupations, heterogeneous firm responses suggest that there could be several varieties of targeted policies-targeting firms that are likely to reduce labor forces or firms likely to face reduced revenue. In this paper, the authors outline several industries and firm characteristics which appear to more directly be reducing employee counts or having negative labor responses which may lead to more cost–effect stimulus.

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