Quantifying e-governance efficacy towards Indian–EU strategic dialogue

2017 ◽  
Vol 11 (4) ◽  
pp. 535-571 ◽  
Author(s):  
Vivek Soni ◽  
Rashmi Anand ◽  
Prasanta Kumar Dey ◽  
Ambika Prasad Dash ◽  
Devinder Kumar Banwet
Keyword(s):  
Decision Making ◽  
Gross Domestic Product ◽  
Cyber Security ◽  
Research Study ◽  
Action Plan ◽  
Domestic Product ◽  
Infrastructure Development ◽  
Strong Base ◽  
Content Type ◽  
The Impact

Purpose The purpose of this research paper is to assess efficacy of e-governance implementation, influenced under the Indian-EU (European Union – EU) strategic dialogue. For the same purpose, this study aims to analyse and measure penetration level of information and communication technology (ICT) applications across ten select gross domestic product-dependent sectors (gross domestic product – GDP) in Indian economy. Design/methodology/approach Multi-criteria decision-making (MCDM) approach of PROMETHEE, using its partial and complete versions in fuzzy environment, is applied. The approach assesses e-governance efficacy in various sectors, which is chosen based on their contribution to GDP, where criteria values are assigned by expert opinions, feedback is received and lessons are learnt from training and initiatives taken under the Digital India programme launched by the Government of India. These criteria related to IT policy implementation, cyber security breaches, IT infrastructure development initiatives in select sectors are identified. Later, sectors outranking results have been highlighted using both fuzzy set theory along with PROMETHEE (F-PROMETHEE) and its visual application. Findings On applying F-PROMETHEE, studies found that industrial, railways, health and finance and education sectors outrank in their high merit orders. Contrary, outranking shows that agriculture, defence and aerospace sectors should be more open and accessible to adopt ICT applications in order to promote e-governance processes and their implementation to make e-services available to common citizens. For better interpretation of results, graphical analysis for interactive aid is used to present the analyses. Research limitations/implications Research study was found useful in the assessment of ICT penetration level in to support Indo-EU relations, where PROMETHEE method is used to outrank sectors alternatives. Criteria are also weighted using fuzzy scale, and the impact of criteria on all alternatives has also been assessed. MCDM framework addresses that subjectivity lies in sectors to implement ICTs bases services. However, few other MCDM frameworks, methods such as COPRAS, GST, GRA, SAW and SWARA, can be used for the same purpose. Practical implications Sectors alternative involve high degree of complexity to adopt ICT applications for smooth e-governance and seek effective decision-making for investment prioritization and future development. This study also aims to address cyber security concerns of policymakers. Outranking methods of F-PROMETHEE are able to address the criteria-to-criteria impact and support decision-making in a more precise way. Social implications This study is inspired from the strategic implementation of the framework of the e-Government Action Plan 2016-2020 of the EU. The findings from the paper can provide referential support to the Indian Government and policymakers to support information delivery, implement cyber security policies and various sector developments. Originality/value This research study can act as a strong base in the decision-making process in conflicting situations of e-governance in India. This study not only can synergize conflicting ideas of various stakeholders, academicians in the Indian IT-sector but also can act as support to administrators and the policymakers to monitor the status of the India-EU Information Society Dialogue.

Using grey relational analysis to analyze influential factor of hand, foot and mouth disease in Shenzhen

2019 ◽  
Vol 9 (2) ◽  
pp. 197-206
Author(s):  
Xiaoyi He ◽  
Liping Li ◽  
Xiaojian Liu ◽  
Yongsheng Wu ◽  
Shujiang Mei ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Gross Domestic Product ◽  
Foot And Mouth Disease ◽  
Domestic Product ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Environmental Air ◽  
The Impact ◽  
Socio Economic Factors

Purpose Hand, foot and mouth disease (HFMD) is a common infectious disease in infants and children. HFMD has caused millions of cases and a large epidemic worldwide. A number of studies have shown that the incidence of HFMD is closely related to various factors such as meteorological factors, environmental air pollution factors and socio-economic factors. However, there are few studies that systematically consider the impact of various factors on the incidence of HFMD. The paper aims to discuss these issues. Design/methodology/approach This study used grey correlation analysis and principal component analysis (PCA) method to systematically analyse the impact of meteorological factors, health resource factors, socio-economic factors and environmental air pollution factors on the incidence of HFMD in Shenzhen. Findings The incidence of HFMD in Shenzhen was affected by multiple factors. Grey correlation analysis found eight influencing factors which are as follows: volume of industrial waste gas emission; the days of air quality equal to or above grade; the volume of industrial nitrogen oxide emission; precipitation; the mean air temperature; the gross domestic product; the expenditure for medical and health care; and the gross domestic product per capita. PCA found that the gross domestic product, the volume of industrial soot emission, the relative humidity, and the days of air quality equal to or above grade have a higher load value. Originality/value This study is the one of the first studies that apply the grey correlation analysis to analyse the influencing factors of HFMD in the English literature, which to some extent fills up the blank in this field.

Impact of exchange rate movement and macro-economic factors on exports of software and services from India

2016 ◽  
Vol 23 (5) ◽  
pp. 1193-1206 ◽  
Author(s):  
Parijat Upadhyay ◽  
Saikat Ghosh Roy
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Real Effective Exchange Rate ◽  
Domestic Product ◽  
Content Type ◽  
Indian Rupee ◽  
Effective Exchange ◽  
Effective Exchange Rate ◽  
The Impact ◽  
Software Services

Purpose – The information technology (IT) sector in India is the leading exporter from the service sector domain and also is a significant contributor to the overall export kitty of India. The IT sector’s contribution in total Indian exports (merchandise plus services) increased from less than 4 percent in FY1998-1999 to about 25 percent in FY2011-2012 as per IT industry nodal body National Association of Software and Services Companies and the central bank of the country, the Reserve Bank of India (RBI). As this industry earns most of its revenue in foreign currencies it is exposed to the foreign exchange risks. The purpose of this paper is to validate the macro-economic theory that depreciation in domestic currency boosts export as it makes domestic good and services cheaper and appreciation in domestic currency deters export as it makes domestic good and services costlier. The authors are validating this theory for Indian rupee and keeping software services export in the focus. Design/methodology/approach – In this study the authors have done the multiple regression analysis on the obtained time-series data. The research was totally based on the secondary data from Quarter1 (April-June) of FY 2000-2001 to Quarter4 (January-March) of FY 2011-2012. It comprises of data for 48 consecutive quarters. The authors have taken the growth rate, so the final data set consist of data of 47 quarters. The main source of data are published data by RBI. Data have been collected for export of software services, merchandise export, real effective exchange rate, US-dollar-Indian rupee exchange rate, gross domestic product of India and selected countries. Findings – Data analysis leads the authors to the following findings: real effective exchange rate has no significant impact on software services export; US-dollar-Indian rupee exchange rate has no significant impact on software services export; external gross domestic product growth has no significant impact on software services export; and gross domestic product growth of India has no significant impact on software services export. The results obtained from multiple regression analysis are also supported by the results obtained from Granger Causality test. It does not identify any single factor as a major cause of software export. Results shows that the external GDP is having the statistically significant impact on the software export but the low value of R2 denotes that the impact is very low. Originality/value – There are no published studies available which has attempted similar kind of an approach to study using aggregated export data and other macro-economic variables like real effective exchange rate (REER) and GDP growth rate. All previous literatures used REER to measure the impact of the exchange rate on export.

Assessing the impact of marine production manufacturing on gross domestic product indicators

2018 ◽  
Vol 3 (4) ◽  
pp. 338-353 ◽  
Author(s):  
Faris ALshubiri
Keyword(s):  
Gross Domestic Product ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Strong Relationship ◽  
Ordinary Least Squares ◽  
Coastal Ecosystems ◽  
Domestic Product ◽  
Content Type ◽  
Gcc Countries ◽  
The Impact

Purpose This paper aims to assess and empirically analyze the impact of marine production manufacturing on gross domestic product (GDP) indicators as a comparative study in Gulf Cooperation Council (GCC) countries. Design/methodology/approach This study used analytical quantitative approaches to assess the impact of marine production manufacturing on GDP between GCC countries over the period from 2007 to 2015. The data were collected from Global Competitiveness Reports during 2006-2016 and from Food and Agriculture Organization of the United Nations, FAO 2015 reports. Findings The results show that Saudi Arabia country has the highest production of marine while Bahrain country is the lowest in GCC. The results of ordinary least squares test show that marine production has a statistical significance on GDP indicators as Pearson correlation matrix shows a strong relationship between all variables. Practical implications The main conclusion is that GCC countries must adopt a regional strategy to support maritime activities, especially in the light of green environmental fluctuations. Integrated management plans are also needed to protect vital coastal ecosystems while allowing economic growth and ensuring a better quality of life for all coastal populations. Comprehensive and collaborative leadership provides effective long-term management of coastal ecosystems in the GCC. In addition, GCC countries have high competition with each other for their market share in the global export-based marine production manufacturing. Originality/value This paper is the first to present most wealthy GCC countries in terms of marine production manufacturing. Marine production manufacturing introduces to create a new competitive market that generates distinctive internal capabilities for survival and growth in international markets.

ANALISIS DETERMINAN KUALITAS LINGKUNGAN PERIODE 1999-2013

2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang
Keyword(s):  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Meat Consumption ◽  
Domestic Product ◽  
World Data ◽  
The World ◽  
The Impact

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.

scholarly journals The impact of gross domestic product on the financing and investment efficiency of China’s commercial banks

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Zhen Shi ◽  
Shijiong Qin ◽  
Yung-ho Chiu ◽  
Xiaoying Tan ◽  
Xiaoli Miao
Keyword(s):  
Gross Domestic Product ◽  
Commercial Banks ◽  
Domestic Product ◽  
Investment Efficiency ◽  
Internal Factors ◽  
Slowing Down ◽  
Return On Capital ◽  
Overall Efficiency ◽  
Financing And Investment ◽  
The Impact

AbstractChina’s commercial banks have developed at a very rapid speed in recent decades. However, with global economic development slowing down, the impact of gross domestic product growth as an exogenous factor cannot be ignored. Most existing studies only consider the internal factors of banks, and neglect their external economic factors. This study thus adopts an undesirable dynamic slacks-based measure under an exogenous model in combination with the Kernel density curve to explore the efficiency of state-owned commercial banks (SOCBs), joint-stock commercial banks (JSCBs), and urban commercial banks (UCBs) in China from 2012 to 2018. The results show that SOCBs have the highest overall efficiency, followed by JSCBs, then UCBs. The efficiencies of SOCBs, JSCBs, and UCBs in the financing stage are greater than those in the investment stage, indicating that the latter stage brings down overall efficiency. Thus, all commercial banks need to focus on the efficiency of non-performing loans and return on capital. Finally, SOCBs need to strengthen internal controls, reduce non-performing loans and improve return on capital. JSCBs should actively expand its business while controlling costs, and UCBs should optimize its management.

Embedding employability within higher education for the profession of policing

2019 ◽  
Vol 9 (3) ◽  
pp. 319-328
Author(s):  
Ian Pepper ◽  
Ruth McGrath
Keyword(s):  
Higher Education ◽  
Design Methodology ◽  
Research Study ◽  
Longitudinal Research ◽  
Evidence Base ◽  
Content Type ◽  
Educational Provision ◽  
Professional Body ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this paper is to evaluate the impact of an employability module, the College of Policing Certificate in Knowledge of Policing (CKP), on students’ career aspirations, their confidence and wish to join the police along with the appropriateness of the module. This will inform the implementation of employability as part of the College of Policing-managed Police Education Qualifications Framework (PEQF). Design/methodology/approach A three-year longitudinal research study used mixed methods across four points in time to evaluate the impact on students studying the employability module. Findings The research suggests that the employability-focussed CKP was useful as an introduction to policing, it developed interest in the police and enhanced the confidence of learners applying to join. Lessons learnt from the CKP should be considered during the implementation of the PEQF. Research limitations/implications The ability to generalise findings across different groups is limited as other influences may impact on a learner’s confidence and employability. However, the implications for the PEQF curriculum are worthy of consideration. Practical implications As the police service moves towards standardised higher educational provision and evolution of policing as a profession, lessons can be learnt from the CKP with regards to the future employability of graduates. Originality/value Enhancing the employability evidence base, focussing on policing, the research identified aspects which may impact on graduates completing a degree mapped to the PEQF. The research is therefore of value to higher education and the professional body for policing.

Understanding how the contextual variables influence political behaviour in strategic decision-making

2014 ◽  
Vol 7 (3) ◽  
pp. 226-250 ◽  
Author(s):  
Said Elbanna ◽  
Ioannis C. Thanos ◽  
Vassilis M. Papadakis
Keyword(s):  
Decision Making ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Strategic Decisions ◽  
Empirical Examination ◽  
Content Type ◽  
Political Behaviour ◽  
Practitioner Education ◽  
The Impact ◽  
Practical Implications

Purpose – The purpose of this paper is to enhance the knowledge of the antecedents of political behaviour. Whereas political behaviour in strategic decision-making (SDM) has received sustained interest in the literature, empirical examination of its antecedents has been meagre. Design/methodology/approach – The authors conducted a constructive replication to examine the impact of three layers of context, namely, decision, firm and environment, on political behaviour. In Study 1, Greece, we gathered data on 143 strategic decisions, while in Study 2, Egypt, we collected data on 169 strategic decisions. Findings – The evidence suggests that both decision-specific and firm factors act as antecedents to political behaviour, while environmental factors do not. Practical implications – The findings support enhanced practitioner education regarding political behaviour and provide practitioners with a place from which to start by identifying the factors which might influence the occurrence of political behaviour in SDM. Originality/value – The paper fills important gaps in the existing research on the influence of context on political behaviour and delineates interesting areas for further research.

Socio-economic preconditions of resort agglomerations development in the south of Russia

2018 ◽  
Vol 10 (4) ◽  
pp. 467-477 ◽  
Author(s):  
Matvey S. Oborin ◽  
Irina Kozhushkina ◽  
Tatyana Gvarliani ◽  
Nikolay Ivanov
Keyword(s):  
Natural Resource ◽  
Federal District ◽  
Tourism Industry ◽  
Infrastructure Development ◽  
The South ◽  
Health Tourism ◽  
Resource Potential ◽  
Content Type ◽  
Advantages And Disadvantages ◽  
The Impact

Purpose This paper aims to analyze the modern problems and the main trends of development of the health-improving tourism sector in the southern part of Russia and to identify significant factors in overcoming the complex challenges related to specific socio-economic conditions in the study area. Design/methodology/approach The material that served as the basis of the study comprises statistical data from the Southern Federal District and its subjects, as well as data about the development of tourism infrastructure on the official websites of governments, Ministry of Tourism and the population of the Southern Federal District. This information was systematized from a number of perspectives, including identification of the chronology of health-improving tourism infrastructure development in the chosen territory, as well as the advantages and disadvantages in this area. Based on the results of the study, the authors also developed some recommendations to overcome existing inactive trends in the field of health tourism. Findings This paper sheds light on the understanding of the challenges and changes that took place in the resort agglomerations of the south of Russia in terms of current issues and those that must be addressed in the coming years. It was concluded that health tourism in the south of Russia has old traditions based on the natural resource potential of territories that are included in the composition of the Southern Federal District. At the same time, the authors came to the conclusion that, unfortunately, not resort agglomerations are fully utilized. Furthermore, some historic resorts were not well maintained by local authorities and have suffered more recently because of lack of investment. At present, the financial results of health resorts and others related to health-improving tourism are precarious as most operations are unprofitable, and so complex decisions are needed to address the underlying problem of resource optimization because of the important social and economic role of the cities in this region. They have special natural and resource potential and preserve traditions related to health-improving tourism. Research limitations/implications The paper provides a conceptual analysis based on limited empirical data combined with some directions for further research. Originality/value The paper attempts to reveal the impact of social, economic and geopolitical factors, both negative and positive, on the development of the health-improving tourism segment, restructuring of the Russian tourism market and the emergence of promising opportunities and new directions for development. The findings also provide insights for practitioners and researchers, and the tourism industry can draw on this analysis to guide the development of strategy, increase investment attractiveness, make more effective use of the natural resource potential and maintain pressure on government partners to provide support to tourism.

Decision rules, escalation of commitment and sensitivity to framing in group decision-making

2016 ◽  
Vol 54 (7) ◽  
pp. 1649-1668 ◽  
Author(s):  
Petru Lucian Curseu ◽  
Sandra G. L. Schruijer ◽  
Oana Catalina Fodor
Keyword(s):  
Decision Making ◽  
Decision Rule ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Rules ◽  
Escalation Of Commitment ◽  
Group Level ◽  
Content Type ◽  
The Impact ◽  
Collaborative Decision

Purpose – The purpose of this paper is to test the influence of collaborative and consultative decision rules on groups’ sensitivity to framing effect (FE) and escalation of commitment (EOC). Design/methodology/approach – In an experimental study (using a sample of 233 professionals with project management experience), the authors test the effects of collaborative and consultative decision rules on groups’ sensitivity to EOC and FE. The authors use four group decision-making tasks to evaluate decision consistency across gain/loss framed decision situations and six decision tasks to evaluate EOC for money as well as time as resources previously invested in the initial decisions. Findings – The results show that the collaborative decision rule increases sensitivity to EOC when financial resources are involved and decreases sensitivity to EOC when time is of essence. Moreover, the authors show that the collaborative decision rule decreases sensitivity to FE in group decision making. Research limitations/implications – The results have important implications for group rationality as an emergent group level competence by extending the insights concerning the impact of decision rules on emergent group level cognitive competencies. Due to the experimental nature of the design, the authors can probe the causal relations between the investigated variables, yet the authors cannot generalize the results to other settings. Practical implications – Managers can use the insights of this study in order to optimize the functioning of decision-making groups and to reduce their sensitivity to FEs and EOC. Originality/value – The study extends the research on group rationality and it is one of the few experimental attempts used to understand the role of decision rules on emergent group level rationality.

The impacts of income inequality on the gross domestic product under direct taxation: evidence from emerging market economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmet Eren Yıldırım ◽  
Mete Dibo
Keyword(s):  
Economic Growth ◽  
Fiscal Policy ◽  
Income Inequality ◽  
Gross Domestic Product ◽  
Emerging Market ◽  
Domestic Product ◽  
Emerging Market Economies ◽  
Content Type ◽  
Market Economies ◽  
Direct Taxation

PurposeThis study analyzes the impacts of income inequality after direct taxation on the gross domestic product as a fiscal policy tool in the development process.Design/methodology/approachThe model of the study is based on Munielo-Gallo and Roca-Sagales (2013), which examined the fiscal policy, income inequality and economic growth simultaneously. The study uses two models to analyze the relationship between income inequality and gross domestic production under direct taxation by employing autoregressive distributed lag (ARDL) model for selected emerging market economies.FindingEmpirical results reveal a negative long-run relationship between variables in some countries in line with the literature, despite a positive relationship in others. Moreover, the results exhibit the negative impact of income inequality after direct taxation on the gross domestic product decreases.Originality/valueResults of the study highlight the importance of direct taxation on income inequality concerning the reflects on economic growth. It suggests that when the income distribution is fairer, it may positively affect the gross domestic product. The study provides a new perspective to the related literature by investigating the role of income inequality under direct taxation for gross domestic product.

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