How can emerging-market SMEs domestically benefit from their performance in developed countries? Empirical evidence from China

2022 ◽  
Vol 142 ◽  
pp. 200-210
Author(s):  
Wei Li ◽  
Zhi Liu ◽  
Senmao Xia ◽  
Ji Yan ◽  
Yu Xiong ◽  
...  
2013 ◽  
Vol 2 (3) ◽  
pp. 98-106 ◽  
Author(s):  
Khaled Elsayed

Despite the crucial role that inventory plays in supply chain management (SCM), research that examines the relationship between inventory and corporate social responsibility (CSR) is rare. This is surprising given the evidence that inventory represents a huge source of cost, a matter that is often reported as a major impediment in practicing social responsibility in SCM. As such, this paper fills this gape in literature by examining directly the effect of inventory management on CSR. Maximum-likelihood ordered logistic regression was performed on a sample of 38 Egyptian listed firms during the period from 2007 to 2010. The results demonstrate that inventory management exerts a positive and significant coefficient on CSR. Further analysis shows that inventory management cannot be safely dropped from model of analysis. Rather, inventory management does add something unique in explaining differences in CSR. For practitioners interested in optimizing their firms’ values, thinking in managing supply chain imperatives, and specially inventory, in terms of social responsibility may guide them to build up a stock of reputational capital that can be used, in turn, to increase the cost of their rivals. This study, to the best of knowledge, is the first one that offers empirical evidence regarding the effect of inventory management on CSR. Moreover, the paper adds to both SCM and CSR literature by providing empirical evidence from Egypt as an emerging market, where much of the existing evidence reflects experience from developed countries


2020 ◽  
Author(s):  
Rahul Sen ◽  
Gulasekaran Rajaguru ◽  
Sadhana Srivastava ◽  
Pundarik Mukhopadhaya

2019 ◽  
Vol 45 (9) ◽  
pp. 1183-1198
Author(s):  
Gaurav S. Chauhan ◽  
Pradip Banerjee

Purpose Recent papers on target capital structure show that debt ratio seems to vary widely in space and time, implying that the functional specifications of target debt ratios are of little empirical use. Further, target behavior cannot be adjudged correctly using debt ratios, as they could revert due to mechanical reasons. The purpose of this paper is to develop an alternative testing strategy to test the target capital structure. Design/methodology/approach The authors make use of a major “shock” to the debt ratios as an event and think of a subsequent reversion as a movement toward a mean or target debt ratio. By doing this, the authors no longer need to identify target debt ratios as a function of firm-specific variables or any other rigid functional form. Findings Similar to the broad empirical evidence in developed economies, there is no perceptible and systematic mean reversion by Indian firms. However, unlike developed countries, proportionate usage of debt to finance firms’ marginal financing deficits is extensive; equity is used rather sparingly. Research limitations/implications The trade-off theory could be convincingly refuted at least for the emerging market of India. The paper here stimulated further research on finding reasons for specific financing behavior of emerging market firms. Practical implications The results show that the firms’ financing choices are not only depending on their own firm’s specific variables but also on the financial markets in which they operate. Originality/value This study attempts to assess mean reversion in debt ratios in a unique but reassuring manner. The results are confirmed by extensive calibration of the testing strategy using simulated data sets.


Author(s):  
Lutz P Breitling

Abstract Background The most commonly cited argument for imposing or lifting various restrictions in the context of the coronavirus disease 2019 (COVID-19) pandemic is an assumed impact on the reproductive ratio of the pathogen. It has furthermore been suggested that less-developed countries are particularly affected by this pandemic. Empirical evidence for this is lacking. Methods Based on a dataset covering 170 countries, patterns of empirical 7-d reproductive ratios during the first months of the COVID-19 pandemic were analysed. Time trends and associations with socio-economic development indicators, such as gross domestic product per capita, physicians per population, extreme poverty prevalence and maternal mortality ratio, were analysed in mixed linear regression models using log-transformed reproductive ratios as the dependent variable. Results Reproductive ratios during the early phase of a pandemic exhibited high fluctuations and overall strong declines. Stable estimates were observed only several weeks into the pandemic, with a median reproductive ratio of 0.96 (interquartile range 0.72–1.34) 6 weeks into the analysis period. Unfavourable socio-economic indicators showed consistent associations with higher reproductive ratios, which were elevated by a factor of 1.29 (95% confidence interval 1.15 to 1.46), for example, in the countries in the highest compared with the lowest tertile of extreme poverty prevalence. Conclusions The COVID-19 pandemic has allowed for the first time description of the global patterns of reproductive ratios of a novel pathogen during pandemic spread. The present study reports the first quantitative empirical evidence that COVID-19 net transmissibility remains less controlled in socio-economically disadvantaged countries, even months into the pandemic. This needs to be addressed by the global scientific community as well as international politics.


2017 ◽  
Vol 20 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Marko Gregl ◽  
Klavdij Logožar

Abstract Development aid, one of the most important mechanisms for the redistribution of global wealth, represents financial flows that have economic growth and social improvement as their main objective. It has also frequently been described as an instrument which is able to diminish international migrations and is used by several developed countries. Recently, much empirical evidence and several contributors have argued that connection and set out other grounds. This paper explores the interaction between development aid and migrations from developing to developed countries. We want to determine, if the amount of development aid has any impact on migrations from African, Caribbean, and the Pacific Group of States. Our results show that development aid does not have a direct effect on migrations and therefore, in terms of international migrations, is not effective. Moreover, we will argue that the donor side should use different policies and other mechanisms to manage migrations from those countries


2015 ◽  
Vol 16 (3) ◽  
pp. 332-356 ◽  
Author(s):  
JOHN HÖGSTRÖM

AbstractIt has been argued that economic development and democracy create new opportunities and resources for women to access political power, which should increase gender equality in politics. However, empirical evidence from previous research that supports this argument is mixed. The contribution of this study is to expand the research on gender equality in politics through an in-depth examination of the effect of development and democracy on gender equality in cabinets. This has been completed through separate analyses that include most of the countries in the world across three levels of development (least-developed, developing, and developed) and across different types of political regimes (democracies, royal dictatorships, military dictatorships, and civilian dictatorships). The results demonstrate that economic development and democracy only affect gender equality in cabinets positively in a few environments. Accordingly, the context is important and there seem to be thresholds before development and democracy have any effect. Development has a positive effect in developed countries and in democracies, but it has a negative effect in dictatorships, and the negative effect is strongest in military dictatorships. The level of democracy has a positive effect mainly in dictatorships, and the strongest effect is in civilian dictatorships. The article demonstrates the importance of dividing samples into subsets to increase understanding of what affects women's representation in cabinets in different environments, and I ask scholars to subset samples and run separate analyses more often in comparative studies.


2021 ◽  
pp. 1-21
Author(s):  
SIZHUO CHEN

This study analyzes the effects of industrial revitalization in developed countries on China’s industrial exports. Using a rich panel dataset and a difference-in-difference method, I find empirical evidence consistent with the hypothesis that industrial revitalization policies in developed countries discourage China’s industrial exports, and these effects have become more apparent over time. This finding is robust to other proxy variables for industrial revitalization policies and robustness checks.


2021 ◽  
Vol 13 (2) ◽  
pp. 233-248
Author(s):  
Manogna R.L. ◽  
Aswini Kumar Mishra

Purpose The study aims to analyze the impact of Research & Development (R&D) intensity on the firm’s performance, measured by growth of sales in the emerging market like India. Innovation strategy and its outcomes for firms may be different in developing countries as compared to developed countries. Thus, a study that focuses on the emerging economy like India, with a majority of the population dependent on agriculture, is of prime importance to the firm performance in the food and agricultural manufacturing industry. For this study, the broader focus will be on one widely recognised factor which may influence the growth rate of firms, i.e. investment in innovations which is in terms of R&D expenditure. Design/methodology/approach The paper investigates the relationship between the R&D efforts and growth of firms in the Indian food and agricultural manufacturing industry during 2001–2019. To empirically test the relationship between firm’s growth (FG) and R&D investments, system generalised method of moments technique has been used, hence enabling to avoid problems related to endogeneity and simultaneity. Findings The findings reveal that investments in innovations have a positive effect on the growth of firms in the Indian food and agricultural manufacturing industry. Investment in R&D also enables the firms to reap benefits from externalities present in the industry. Further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, this paper finds evidence in the case of the food and agricultural industry that import of raw materials negatively affects the FG and export intensity positively affects the growth in the case of R&D firms. Research limitations/implications This study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries. Originality/value To the best of the author’s knowledge, the current paper is the first to analyse the impact of innovation in food and agricultural industry on firm’s performance in an emerging economy context with the latest data. This paper agrees that a government initiative to increase private R&D expenditure would have favourable effects on FG as growing investments in R&D lead to further growth of the firms.


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