Child schooling in India: the role of gender

2015 ◽  
Vol 8 (1) ◽  
pp. 93-108 ◽  
Author(s):  
Itismita Mohanty ◽  
ANU RAMMOHAN
Keyword(s):  
Fixed Effects ◽  
Sample Selection ◽  
Family Health ◽  
Large Sample Size ◽  
Fixed Effects Model ◽  
Data Set ◽  
Content Type ◽  
Child Schooling ◽  
Years Of Schooling

Purpose – This paper aims to analyse factors that influence child schooling outcomes in India, specifically the role of gender. Design/methodology/approach – This paper uses data from the nationally representative Indian National Family Health Surveys 1995-1996 and 2005-2006 and estimates Heckman sample selection, cluster fixed-effects and household fixed-effects econometric models. The dependent variables are the child’s enrolment status and conditional on enrolment child’s years of schooling. Findings – This analysis finds statistically significant evidence of male advantage both in schooling enrolment as well as years of schooling. However, using a cluster fixed-effects model, our analysis finds that within a village, conditional on being enrolled, girls spend more years in school relative to boys. Other results show that parental schooling has a positive and statistically significant impact on child schooling. There is statistically significant wealth effect, community effect and regional disparities between states in India. Originality/value – The large sample size and the range of questions available in this data set, allows us to explore the influence of individual, household and village level social, economic and cultural factors on child schooling. The role of gender on child schooling within a village, intrahousehold resource allocation for schooling and regional gender differences in schooling are important issues in India, where education outcomes remain poor for large segments of the population.

A big data approach to examining social bots on Twitter

2019 ◽  
Vol 33 (4) ◽  
pp. 369-379 ◽  
Author(s):  
Xia Liu
Keyword(s):  
Big Data ◽  
Fixed Effects ◽  
Latent Dirichlet Allocation ◽  
User Generated Content ◽  
Fixed Effects Model ◽  
Data Set ◽  
Information Distortion ◽  
Content Type ◽  
Related Information ◽  
Brand Reputation

Purpose Social bots are prevalent on social media. Malicious bots can severely distort the true voices of customers. This paper aims to examine social bots in the context of big data of user-generated content. In particular, the author investigates the scope of information distortion for 24 brands across seven industries. Furthermore, the author studies the mechanisms that make social bots viral. Last, approaches to detecting and preventing malicious bots are recommended. Design/methodology/approach A Twitter data set of 29 million tweets was collected. Latent Dirichlet allocation and word cloud were used to visualize unstructured big data of textual content. Sentiment analysis was used to automatically classify 29 million tweets. A fixed-effects model was run on the final panel data. Findings The findings demonstrate that social bots significantly distort brand-related information across all industries and among all brands under study. Moreover, Twitter social bots are significantly more effective at spreading word of mouth. In addition, social bots use volumes and emotions as major effective mechanisms to influence and manipulate the spread of information about brands. Finally, the bot detection approaches are effective at identifying bots. Research limitations/implications As brand companies use social networks to monitor brand reputation and engage customers, it is critical for them to distinguish true consumer opinions from fake ones which are artificially created by social bots. Originality/value This is the first big data examination of social bots in the context of brand-related user-generated content.

scholarly journals ICT-based innovation and its competitive outcome: the role of information intensity

2019 ◽  
Vol 22 (2) ◽  
pp. 383-404 ◽  
Author(s):  
Paolo Neirotti ◽  
Danilo Pesce
Keyword(s):  
Information And Communication Technologies ◽  
Fixed Effects ◽  
Innovation Process ◽  
High Growth ◽  
Large Data ◽  
Competitive Dynamics ◽  
Data Set ◽  
Content Type ◽  
Role Of Information

Purpose Prior research highlights the vital role of Information and Communication Technologies (ICT) for innovation in response to environmental conditions. However, there is a lack of studies that analyse the determinants of ICT investments on the innovation activities of firms in relation with their impacts on the industrial and competitive dynamics using large data sets. The paper aims to discuss these issues. Design/methodology/approach In this paper, the authors investigate the effects of ICT investments on the industrial and competitive dynamics for a large and representative panel data set. All the industries are included, and lagged effects of ICT investments are studied. The model is tested on a seven-year panel (2008–2014) of 231 Italian industries using two-stage least squares instrumental-variables estimators with industry time and fixed effects. Findings The results indicate that munificent industries and higher ICT spending are interrelated facts, showing that in sectors with more growth opportunities firms invest more in ICT and this leads to higher industry concentration, greater profit dispersion and higher competitive turbulence in the sector. Also, the paper shows that SMEs can rarely take advantage of their ICT-based innovation to start high-growth phenomena. Practical implications The results suggest that ICT-based innovation may create competitive advantages that are hard to sustain over the long-term raising important implications for managers involved in ICT-enabled innovations and policy-makers involved in building programs to foster innovation. Originality/value Against the backdrop of today’s digital transformation, the paper enriches our understanding on the disruptive effects exerted by the digitalization of the innovation process and provides a base to continue the investigation of industrial changes and competitive dynamics.

Transport infrastructure, accessibility and residential property values: evidence from Hong Kong

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jayantha Wadu Mesthrige ◽  
Tayyab Maqsood
Keyword(s):  
Hong Kong ◽  
Fixed Effects ◽  
Property Values ◽  
Transport Infrastructure ◽  
Residential Property ◽  
Fixed Effects Model ◽  
Data Set ◽  
Content Type ◽  
Residential Properties ◽  
Residential Property Values

PurposeHong Kong, like many other developed cities and countries, invests heavily in transport development. This study investigates whether the speculative benefits of future improvements in accessibility, brought about by impending transport development, will be capitalized into nearby residential property values even prior to the opening of the development.Design/methodology/approachDeviating from the standard hedonic price approach, the present study employed a fixed-effects model with a large data set of residential property transactions in the vicinity of three-stations situated along a newly proposed mass-transit-railway line in Hong Kong.FindingsThe results suggest that the values of residential properties close to stations do reflect the accessibility enhancements to be brought about by transport improvements even before the opening of the line. Results revealed a 6.5% of property value premium after the announcement of construction; and higher up to 6.7% after the operation of the line. This indicates that forthcoming new transport-infrastructure development produces changes in spatial price-gradients for neighbouring residential properties. Findings indicate that potential buyers/investors recognized the positive benefits of the planned transportation development, even before completion of the project, and are ready to pay a premium for those properties close to railway stations, representing clear evidence that residential property prices/values, near stations, reflect anticipated accessibility enhancements brought about by transport improvements.Originality/valueThis study, using a novel approach – a fixed-effects model to capture the speculative benefits of future improvements in transport infrastructure – provides a positive hypothesis that expected benefits of future improvements in accessibility are capitalized into property values.

Which food prices were more vulnerable to the COVID-19 blockade regulations in China? Comparison between perishable and storable vegetables

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yupeng Wang ◽  
Satoru Shimokawa
Keyword(s):  
Spatial Dependence ◽  
Fixed Effects ◽  
Design Methodology ◽  
Food Prices ◽  
Panel Var ◽  
Fixed Effects Model ◽  
Dynamic Panel ◽  
Data Set ◽  
Content Type ◽  
The Impact

PurposeThis paper aims to investigate how differently the COVID-19 blockade regulations influence the prices of perishable and storable foods. The authors focus on the cases of the 2020 blockade at Hubei province and the 2021 blockade at Shijiazhuang city in China, and the authors examine how the blockade influenced the prices of Chinese cabbages (perishable) and potatoes (storable) within and around the blockade area.Design/methodology/approachThe paper employs the fixed effects model, the panel VAR (PVAR) model, and the spatial dynamic panel (SPD) model to estimate the impacts of the blockade on the food prices. It constructs the unique data set of 3-day average prices of Chinese cabbages and potatoes at main wholesale markets in China during the two urban blockade periods from January 1 to April 8 in 2020 and from January 1 to March 1 in 2021.FindingsThe results from the SPD models indicate that the price of Chinese cabbages was more vulnerable and increased by 7.1–9.8% due to the two blockades while the price of potatoes increased by 1.2–6.1%. The blockades also significantly influenced the prices in the areas adjacent to the blockade area. The SPD results demonstrate that the impacts of the blockades would be overestimated if the spatial dependence is not controlled for in the fixed effects model and the PVAR model.Research limitations/implicationsBecause the research focuses on the cases in China, the results may lack generalizability. Further research for other countries is encouraged.Originality/valueThis paper demonstrates the importance of considering food types and spatial dependence in examining the impact of the COVID-19 blockades on food prices.

Decomposing the structure of wages into firm and worker effects

2017 ◽  
Vol 38 (5) ◽  
pp. 765-787 ◽  
Author(s):  
Yolanda F. Rebollo-Sanz
Keyword(s):  
Fixed Effects ◽  
Estimation Method ◽  
Wage Dispersion ◽  
Data Set ◽  
Content Type ◽  
Large Dispersion ◽  
Censored Models ◽  
The Individual ◽  
Industrial Wage

Purpose The purpose of this paper is to show that for some key topics on labour economics such as the effect of seniority and job mobility in wages, it is important to explicitly consider firm fixed effects. The author also wants to test whether the importance of firm in explaining wage dispersion is higher or lower in Spain than in other European countries. Design/methodology/approach The author estimates an individual wage equation where firm and workers effects are considered and the estimation process control for censored wages. This exercise is performed for the Spanish economy over the course of a whole business cycle, i.e., 2000-2015. Findings The author demonstrates that Spanish firms contribute to explain around 27 per cent of the individual wage heterogeneity but more importantly around 74 per cent of inter-industry wage differentials. In both cases, this contribution is mainly related to large dispersion in firm’s wage policies. The process of positive sorting of workers across firms or industries does not play an important role. Interestingly, the importance of firm’s wage policies in explaining individual wage dispersion has increased over the current Big Recession. Practical implications The results confirm that firms set wages and, henceforth, are partially responsible for individual wage heterogeneity but more importantly for inter-industrial wage dispersion. Originality/value The exercise is performed under optimal conditions because the author uses a longitudinal matched employer-employee data set, observed wages are at a monthly frequency, and implements an estimation method suitable for censored models with two high-dimensional fixed effects. This is the first study that looks deeply into the role of firms in explaining wage heterogeneity at the individual and industry level in Spain and along the current Big Recession.

Economies of scale in European life insurance

2018 ◽  
Vol 19 (2) ◽  
pp. 190-207 ◽  
Author(s):  
Udo Klotzki ◽  
Alexander Bohnert ◽  
Nadine Gatzert ◽  
Ulrike Vogelgesang
Keyword(s):  
Life Insurance ◽  
Fixed Effects ◽  
Economies Of Scale ◽  
Insurance Markets ◽  
Fixed Effects Model ◽  
Content Type ◽  
Administrative Costs ◽  
Life Insurers ◽  
Acquisition Costs ◽  
The Uk

Purpose Due to the continuing low interest rate environment as well as the increase in acquisition costs, price transparency, cost transparency and competition with banks, the cost of life insurance becomes increasingly important for customers, insurers and shareholders. Against this background, the purpose of this paper is to study the development of insurers’ economies of scale in regard to administrative costs for four of the largest European life insurance markets. Design/methodology/approach The analysis on economies of scale is based on a comprehensive set of 477 life insurers in Germany, Italy, Spain and the UK, yearly data between 2000 and 2014, and regression calculations that are based on 4,855 observations. Findings The results show that economies of scale exist for all considered markets and for most of the considered years. However, the extent of economies of scale varies considerably across countries. Originality/value Overall, the existing academic literature on costs and corresponding economies of scale in life insurance primarily deals with analyses of total costs instead of administrative costs, a single year or a single market. This paper contributes to the existing literature by conducting an analysis of recent market dynamics and economies of scale in regard to administrative costs for the period from 2000 and 2014 for four of the largest European life insurance markets for which the respective data were available (Germany, Italy, Spain and the UK) and 477 life insurers in total. This is done by means of a log-log transformation of premiums and costs and a fixed effects model based on these transformed figures for 4,855 observations. In addition, for each market, the authors analyze the development of administrative costs for a total of 477 insurers.

Market responsiveness: antecedents and the moderating role of external supply chain integration

2017 ◽  
Vol 32 (1) ◽  
pp. 30-45 ◽  
Author(s):  
Tuan Luu
Keyword(s):  
Supply Chain ◽  
Supply Chain Integration ◽  
Manufacturing Companies ◽  
Data Set ◽  
Content Type ◽  
Business Context ◽  
Market Responsiveness ◽  
Positive Effect ◽  
Ambidextrous Leadership

Purpose The interaction between opening and closing behaviors of ambidextrous leadership produces “change” force throughout the organization in proactive response to market forces. This research aims to assess the role of ambidextrous leadership in fostering entrepreneurial orientation (EO) and market responsiveness. The research also seeks an insight into how external supply chain integration moderates the positive effect of EO on market responsiveness. Design/methodology/approach Research data were collected from 327 meso-level managers and 517 subordinates from chemical manufacturing companies in the Vietnam business context. Findings Research findings shed light on the positive effect of ambidextrous leadership on EO, which in turn contributes to market responsiveness. The moderation role that external supply chain integration plays on the EO–market responsiveness linkage was also grounded on the data set. Originality/value Through the identification of the predictive roles of ambidextrous leadership and EO for market responsiveness, the current research indicates the convergence between leadership, EO and market responsiveness research streams.

State legitimacy and tax compliance among small and medium scale enterprises: a case study of Dodowa district, Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abraham Gyamfi Ababio ◽  
Arthur Gnonsio Mangueye
Keyword(s):  
Sample Selection ◽  
Tax Compliance ◽  
Probit Model ◽  
Content Type ◽  
Medium Scale ◽  
State Legitimacy ◽  
Negative Effect ◽  
Sizable Proportion

Purpose Improving tax compliance would drive the needed development in Ghana. Small and medium scale enterprises (SME) constitute a sizable proportion of the Ghanaian economy but its contribution to tax revenue is below expectation. This study aims to determine whether SME's perception of state legitimacy affects tax compliance. Design/methodology/approach A structured questionnaire was administered to 200 SMEs randomly drawn from Dodowa in the Shai-Osudoku District of Greater Accra Region. Descriptive statistics and the Probit model with sample selection were used to analyse the data. Findings The study found that SME's perception of government legitimacy exerts a significant negative effect on reducing profit to avoid tax liability (ß = −0.0305, p < 0.05). Other factors such as education and fear of fines and penalties were also found to reduce the likelihood that the firm would reduce profit to avoid high tax liability. Still, tax knowledge had a positive effect on this behaviour. Practical implications This study would help deepen policymakers' knowledge of how to improve tax compliance among SMEs in Ghana. Originality/value The originality of this work is that it explicitly models the role of fiscal exchange theory in explaining tax compliance among SMEs in Ghana by using robust methodology.

The effect of industry association on firm innovation in Chinese private ventures

2019 ◽  
Vol 57 (9) ◽  
pp. 2414-2435
Author(s):  
Wenge Zhang ◽  
Jun Li ◽  
Yiyuan Mai
Keyword(s):  
Moderating Effects ◽  
Firm Level ◽  
Firm Innovation ◽  
Data Set ◽  
Industry Association ◽  
Content Type ◽  
Emerging Industries ◽  
Practical Implications ◽  
Firm Learning

Purpose The purpose of this paper is to examine the relationship between industry association membership and firm innovation in Chinese private ventures. A secondary objective is to investigate potential moderating effects of firm learning practices and founder characteristics on the above relationship, and to draw out implications for policymakers and practitioners. Design/methodology/approach The paper utilizes data from a sample of 567 Chinese entrepreneurial firms operating in 9 designated emerging industries. Hierarchical regression models were employed to analyze the effect of industry association membership on firm innovation, and the potential moderating effects. A 2SLS procedure was adopted to control for potential endogeneity issue. Supplemental analyses were conducted to ensure the robustness of the findings. Findings The paper provides empirical insights about how industry association membership, along with firm learning practice and founder leadership, affect firm innovation in Chinese private ventures in emerging industries. It suggests that industry association membership positively affects firm innovation. Further, there is a three-way interaction effect of industry association membership, learning practice and founder power on innovation. Research limitations/implications Due to the design of the data set, there are some limitations. First, the study only considered whether a firm belongs to an industry association, but not the nature of such membership (length, firm status in the association, etc.). Second, the cross-sectional design may limit the power of the study to make casual implications about the tested relationships. Practical implications The paper provides important practical implications for policymakers and entrepreneurs in China. In general, the results suggest that private ventures pursuing innovation in emerging industries can benefit from industry associations, and entrepreneurs shall actively engage in firm-level and personal-level learning. For policymakers, the study suggests that to foster innovation in an emerging industry, special attention shall be paid to building necessary institutional support to develop and to strengthen the role of industry association in the industry. Originality/value This paper fulfills an important gap in the literature in that it is one of the first, which investigates the role of the industry association in firm innovation, especially in a non-western context. This paper provides new insights into the role of industry association and firm innovation in an under-researched developing economy context.

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.

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