Do institutional networks affect winery survival?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marta Fernández-Olmos ◽  
Ana Felicitas Gargallo-Castel ◽  
Giulio Malorgio
Keyword(s):  
Policy Implications ◽  
Wine Industry ◽  
Primary Data ◽  
Survival Models ◽  
Data Set ◽  
Policy Makers ◽  
Content Type ◽  
Probability Of Survival ◽  
Kaplan Meier ◽  
Parametric Survival

PurposeThe present study aims to provide new evidence regarding the factors that determine the survival of firms in the Spanish wine industry and to improve the understanding of sector dynamics.Design/methodology/approachThe empirical analysis, conducted over a representative sample of wineries in the DOC Rioja wine industry, is based on non-parametric (Kaplan–Meier graph) and semi-parametric survival models (Cox proportional hazard model).FindingsThe empirical model finds that wineries with a higher number of networks with institutions enjoy better survival prospects. This study also shows that a winery’s previous performance affects the winery’s survival probability; therefore, successful wineries in the past encounter a smaller hazard of exit. Although spending on R&D and exporting are factors likely to improve wineries' efficiency and competitiveness, these factors did not contribute significantly to the survival of DOC Rioja wineries.Originality/valueThis paper makes a significant contribution to the understanding of the determinants of wineries' survival and has important policy implications. In order to raise the probability of survival, policy makers should promote the networks that link wineries and institutions. Moreover, this study is based on survival analysis which, although frequently used in medical and behavioural sciences, has rarely been applied to wine economics. Finally, it uses a unique data set obtained from primary data collection, which previous studies have not analysed in relation to the probability of winery survival.

Capital market openness and volatility: an investigation of five Sub-Saharan treasury bill rates

2016 ◽  
Vol 11 (3) ◽  
pp. 438-459 ◽  
Author(s):  
Ailie Heather Charteris ◽  
Barry Strydom
Keyword(s):  
Capital Markets ◽  
Capital Mobility ◽  
Methodological Approach ◽  
Policy Implications ◽  
Primary Data ◽  
Data Set ◽  
Treasury Bill ◽  
Content Type ◽  
Financial Liberalisation ◽  
Sub Saharan

Purpose – The purpose of this paper is to model the volatility of treasury bill (T-bill) rates in five Sub-Saharan capital markets to investigate whether or not differences in capital mobility affect volatility. Design/methodology/approach – Primary data was collected from weekly T-bill auctions in five Sub-Saharan countries and was analysed using a range of Generalised Autoregressive Conditional Heteroscedasticity (GARCH) models in order to determine the volatility characteristics of each of these instruments. Differences in the institutional arrangements for each market are used to interpret the results of the econometric analysis. Findings – Evidence is presented that indicates that the size and financial liberalisation of capital markets affect volatility. While the markets with the greatest exposure to international investors exhibit greater volatility in the long-run, the presence of non-residents in the market appears to contribute to more efficient pricing of these instruments. Research limitations/implications – The limited sample restricts the ability to generalise these findings, however, the finding that differences exist in the volatility of these markets even though they are geographically similar indicates the value of this methodological approach. Practical implications – The finding that greater capital mobility may result in increased volatility and greater efficiency has significant policy implications for governments and market regulators who have to weigh the costs and benefits of financial liberalisation. Originality/value – The paper employs a unique data set to model the volatility characteristics of the selected T-bills to improve the understanding of the behaviour of these important instruments in Sub-Saharan frontier markets. More specifically the study provides a novel empirical approach to addressing the question of whether capital mobility is linked to increased volatility. The finding that capital mobility is linked to greater market efficiency offers a fresh insight to this debate.

Sustainability of microenterprises: an empirical analysis

2018 ◽  
Vol 25 (3) ◽  
pp. 919-931 ◽  
Author(s):  
Susmita Chatterjee ◽  
Sangita DuttaGupta ◽  
Parijat Upadhyay
Keyword(s):  
Small Businesses ◽  
Policy Implications ◽  
Primary Data ◽  
Way Of Life ◽  
Policy Makers ◽  
Content Type ◽  
Business Sustainability ◽  
Depth Study ◽  
Group Interviews ◽  
Self Help Groups

Purpose The purpose of this paper is to investigate the facilitators and impediments of business sustainability of the microenterprises. The study also proposes a framework of social sustainability through women microentrepreneurs in India. Design/methodology/approach In order to fulfill the objectives, primary data have been collected and analyzed by employing binary logit model. Additionally, in-depth interviews and focus group interviews were conducted to get more precise insight on the issue. Findings The study finds out the factors determining sustainability of microenterprises. The economic, political, demographic factors along with family contribution are found to be important factors in determining sustainability and success of microenterprises. The study also show that microenterprises emerging from self-help groups (SHGs) are adding value to the society by overall women empowerment. Research limitations/implications The study will pave the way for further research about the sustainability factors of microenterprises in emerging economies. Practical implications The finding of this paper will give directions to policy makers as well as to stakeholders as small businesses are becoming way of life in all developing countries. Originality/value This study contributes to the literature by identifying how microentrepreneurs emerging from SHGs are achieving societal goals of poverty eradication. It determines the indicators of business sustainability for small businesses run by women. Empirical and in-depth study explores the issues those have policy implications.

Key factors in developing transit trade corridors in Northeast Asia

2017 ◽  
Vol 21 (3) ◽  
pp. 191-207 ◽  
Author(s):  
Sang-Won Lim ◽  
Kamonchanok Suthiwartnarueput ◽  
Ahmad Abareshi ◽  
Paul Tae-Woo Lee ◽  
Yann Duval
Keyword(s):  
Northeast Asia ◽  
Policy Implications ◽  
Policy Support ◽  
Transport Infrastructure ◽  
Primary Data ◽  
Regional Economies ◽  
Key Factors ◽  
Policy Makers ◽  
Content Type ◽  
Factors Affecting

Purpose The purpose of this paper is to investigate key critical factors for developing transit trade corridors (TTCs) in optimizing trade and logistics performance, taking into account economic, geographic and political concerns among countries in the Northeast Asia region, which have been dynamically developing TTCs to optimize trade and logistics performance in association with development of transport infrastructure in the Greater Tumen Region located in the Northeast Asia. Design/methodology/approach This research explores key factors affecting the TTC through a comprehensive literature review in tandem with expert survey. Factor analysis, both exploratory and confirmatory, is employed to further investigate the underlying factors affecting more efficient development of a TTC. Findings This research has drawn eight underlying factors affecting the design of a TTC: development and policy implications; safety, security and political concerns; environmental protection; financing and investment; soft infrastructure; hard infrastructure; geography and landscape; and corridor performance. Research limitations/implications This paper has a limited geographical scope of the Northeast Asia. Therefore, more primary data collection would be useful in future work. Development of International trade corridor and TTC is critical in northeast Asia for moving goods through designated geographical paths. The key factors drawn in this paper contributes not only to promoting its related services and information (across borders) with the provision of policy support and related facilities for TTC but also to lowering logistics costs and improving trades in the northeast Asian region. As a result, the countries in the region will accelerate their regional economies in collaboration with international bodies and framework, such as UNDP, Greater Tumen Initiative and One Belt One Road Initiative. Practical implications The eight underlying factors the authors identified in this research will be valuable for policy-makers to design TTCs and consequently the research will contribute to regional economies in northeast Asia by establishing efficient trade and transport routes among the countries in the region. Social implications Developing TTCs is a kind of platform and infrastructure to accelerate cargo movements and people movements in the northeast Asia. Users of TTCs will benefit their businesses thanks to an efficient logistics system and lower logistics costs, which result in promoting international and regional trade in the region. Originality/value There has not been any research done on factors to consider in developing TTCs in the world, whose consequence is no readily available reference that can support a systematic assessment and decision-making in development of TTCs. The findings of this research provide a helpful reference for policy-makers, potential users and developers of TTCs to refer in planning and developing them.

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.

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.

Financial literacy and its determinants: the case of rural farm households in Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Salina Adhikari ◽  
Caven Adu Gyamfi ◽  
Isaac Asare
Keyword(s):  
Developing Countries ◽  
Financial Literacy ◽  
Financial Education ◽  
Policy Implications ◽  
Farm Households ◽  
Community Group ◽  
Data Set ◽  
Content Type ◽  
Wide Range ◽  
Rural Dwellers

PurposeThis paper aims to examine the determinants of rural dwellers financial literacy in Ghana.Design/methodology/approachA cross-sectional primary data set was used to estimate the factors influencing rural farm households' financial literacy using the IV-Tobit model.FindingsThe findings reveal that most rural residents are financially illiterate. The econometrics model results depicted that respondents' socioeconomic and demographic characteristics such as gender, income, age and education significantly affect financial literacy. Again, respondents who are risk seekers and listen or watch education programs are more likely to be financially literate.Research limitations/implicationsThe paper examined the determinants of rural dwellers financial literacy in four regions in Ghana. Future research should consider all or many regions for an informed generalization of findings.Practical implicationsThis paper provides evidence that rural dwellers are financially illiterate and it would require the policymakers or non-governmental organizations (NGOs) to establish a village or community group that comprises a wide range of bankers and government officials to help rural dwellers acquire some financial skills. Also, the positive relationship between media (whether respondent watches or listens to educational programs) and financial literacy implies that policymakers should focus on improving individuals' financial knowledge through training programs and utilize the media as a channel to propagate financial education to the public.Originality/valueAlthough previous studies have examined the determinants of financial literacy, little is known in developing countries and, in particular, rural communities. The authors fill this gap by contributing to the scanty existing literature in developing countries in several ways. First, this is the first study to examine the financial literacy level of rural dwellers in Ghana. Second, to not undermine the credibility of the estimation results, this study addresses the potential endogeneity issue, which other researchers have not adequately recognized. Finally, the study expands the scant literature on the subject and provides critical policy implications that will help policymakers formulate financial market policies that will contribute to rural dwellers financial literacy enhancement.

scholarly journals Ownership feature and firm performance via corporate innovation performance

2018 ◽  
Vol 25 (2) ◽  
pp. 239-250 ◽  
Author(s):  
Dung Nguyen ◽  
Hoai Nguyen ◽  
Kien S. Nguyen
Keyword(s):  
Firm Performance ◽  
Positive Impact ◽  
Policy Implications ◽  
Ownership Concentration ◽  
Likelihood Method ◽  
Sales Growth ◽  
Reverse Causality ◽  
Data Set ◽  
Content Type ◽  
Cmp Model

Purpose The purpose of this paper is to investigate the simultaneous relationship among ownership concentration, innovation and firm performance of the small- and medium-sized enterprises (SMEs) in Vietnam during the 2011–2015. By employing a Conditional Mixed Process (CMP) model, the findings show that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. Design/methodology/approach In this study, the authors propose the adaption of CMP model (Roodman, 2011). The nature of the first stage dependent variable – Innovation – is a binary one while the dependent variable Performance is continuous. Therefore, a model that can adapt the binary nature of the dependent variable and perform the estimation of a system of equations such as CMP model is preferred. The CMP framework is substantially that of seemingly unrelated regression, but with application in a larger scope. This approach is based on a “simulated maximum likelihood method” suggested by Geweke–Hajivassiliou–Keane algorithm. Findings By applying CMP method, this study examines the simultaneous relationship among ownership concentration, innovation and firm performance of the SMEs in Vietnam from 2011 to 2015. The findings indicate that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. Research limitations/implications In spite of the efforts to explore the simultaneous relationship among ownership concentration, innovation and firm performance of the SMEs in Vietnam, the study still has some limitations which are promising further research directions. First, the SME surveys by Central Institute for Economic Management do not have much information about other types of ownership including state-owned and foreign ownership. Therefore, possible further studies with richer data sets may explore the impacts of different types of ownership on firm innovation and performance. Second, other types of innovation such as organizational innovation, marketing innovation can also be investigated in further studies in a richer data set for the case of Vietnam SMEs. Originality/value The findings show that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. The policy implications insist on facilitating SMEs with easier access to capital via loans with preferred interest or trust loans without collateral, training programs for the labor force and SME leaders, and reduction of unnecessary administrative procedure.

scholarly journals Credit composition and income inequality in Vietnam: an empirical analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Quoc Hoi ◽  
Hương Lan Trần
Keyword(s):  
Income Inequality ◽  
Educational Level ◽  
Generalized Method Of Moments ◽  
Institutional Quality ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Private Credit ◽  
The Impact

PurposeThis paper aims to examine the credit composition and income inequality reduction in Vietnam. In particular, the authors focus on the distinction between policy and commercial credits and investigate whether these two types of credit had adverse effects on income inequality. The authors also examine whether the impact of policy credit on income inequality is conditioned by the educational level and institutional quality.Design/methodology/approachThe authors use the primary data set, which contains a panel of 60 provinces collected from the General Statistics Office of Vietnam from 2002 to 2016. The authors employ the generalized method of moments to solve the endogenous problem.FindingsThe authors show that while commercial credit increases income inequality, policy credit contributes to reducing income inequality in Vietnam. In addition, we provide evidence that the institutional quality and educational level condition the impact of policy credit on income inequality. Based on the findings, the paper implies that it was not the size of the private credit but its composition that mattered in reducing income inequality, due to the asymmetric effects of different types of credit.Originality/valueThis is the first study that examines the links between the two components of credit and income inequality as well as constraints of the links. The authors argue that analyzing the separate effects of commercial and policy credits is more important for explaining the role of credit in income inequality than the size of total credit.

Why Is China Unwelcome in Taiwan? Cultural Alienation, Democratic Anxiety or Economic Loss in Explaining Taiwanese Resistance to China

2017 ◽  
Vol 53 (04) ◽  
pp. 1750011 ◽  
Author(s):  
WEI-FENG TZENG ◽  
KUAN-CHEN LEE ◽  
CHRISTOPHER MACAULAY
Keyword(s):  
Economic Loss ◽  
Policy Implications ◽  
Economic Interest ◽  
Data Set ◽  
Policy Makers ◽  
Attitudinal Factors ◽  
Cultural Alienation ◽  
The Face ◽  
Chinese Tourists ◽  
Chinese Workers

This paper explores the factors that affect Taiwanese citizens’ resistance to closer relations with China. Elements in Taiwanese society have recently exhibited a strong sense of anxiety in the face of a rising China. Distinct from the past military confrontation between China and Taiwan, more recently, Taiwanese citizens have been subject to a strengthening of cross-Strait relations and interactions, which makes their rising resistance to China puzzling. To empirically and theoretically explain why Taiwanese are resistant to closer ties with the mainland, we discuss three potential sources: cultural alienation, democratic anxiety, and economic interest. We test the effects of these three attitudinal factors on Taiwanese resistance to Chinese tourists, students, and workers using the China Impact Survey 2012 data set. The findings suggest that democratic anxiety, economic interest, and cultural alienation are all strong predictors in accounting for the public’s resistance to Chinese tourists and students, while economic interest is the most powerful factor in Taiwanese attitudes toward policies regarding Chinese workers. The findings provide important policy implications for policy makers in dealing with cross-Strait relations.

How does bank liquidity creation affect non-performing loans in the MENA region?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anas Alaoui Mdaghri
Keyword(s):  
Generalized Method Of Moments ◽  
Balance Sheet ◽  
Policy Implications ◽  
Mena Region ◽  
Policy Makers ◽  
Content Type ◽  
Mena Countries ◽  
Negative Effect ◽  
Short And Long Term ◽  
Conventional Banks

PurposeThe study aims to empirically examine the effect of bank liquidity creation on non-performing loans (NPLs) in the Middle East and North Africa (MENA) region.Design/methodology/approachBerger and Bouwman's (2009) three-step methodology was employed to calculate the level of liquidity creation of a selected sample of 111 commercial banks in ten MENA countries from 2010–2017. Next, the two-step system generalized method of moments (GMM) estimator was used to investigate the linkage between bank liquidity creation and NPLs.FindingsThe results demonstrated a significant negative effect of bank liquidity creation on NPLs in the short and long term, implying that liquidity creation through both on- and off-balance sheet activities decreases NPLs. These findings accord with the “economic-enhancing” view. Furthermore, regression analysis investigated whether this relationship remained similar for Islamic and conventional banks. The results showed that liquidity creation diminishes Islamic and conventional bank NPLs.Research limitations/implicationsThe empirical findings raise several significant policy implications. Bank liquidity creation may decrease rather than increase NPLs, although the process of liquidity creation is viewed as risky by rendering banks more illiquid. Therefore, policy-makers should encourage bank liquidity creation to stimulate the economy. In a robust economy, borrowers are more likely to repay their debts, consequently diminishing banks' NPLs.Originality/valueTo the best of the author's knowledge, the current study is the first to provide empirical evidence on the effect of bank liquidity creation on NPLs in MENA countries.

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