scholarly journals Impact of the volatility of resource revenue on non-resource revenue volatility

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sena Kimm Gnangnon
Keyword(s):  
Empirical Analysis ◽  
Economic Diversification ◽  
Data Set ◽  
Content Type ◽  
Generalized Methods Of Moments ◽  
Public Revenue ◽  
Revenue Volatility ◽  
The Stability ◽  
Methods Of Moments ◽  
The Empirical Analysis

PurposeThis paper investigates the effect of the volatility of resource revenue on the volatility of non-resource revenue.Design/methodology/approachThe empirical analysis has utilized an unbalanced panel data set comprising 54 countries over the period 1980–2015. The two-step system generalized methods of moments (GMM) is the main economic approach used to carry out the empirical analysis.FindingsResults show that resource revenue volatility generates lower non-resource revenue volatility only when the share of resource revenue in total public revenue is lower than 18%. Otherwise, higher resource revenue volatility would result in a rise in non-resource revenue volatility.Research limitations/implicationsIn light of the adverse effect of volatility of non-resource revenue on public spending, and hence on economic growth and development prospects, countries whose total public revenue is highly dependent on resource revenue should adopt appropriate policies to ensure the rise in non-resource revenue, as well as the stability of the latter.Practical implicationsEconomic diversification in resource-rich countries (particularly in developing countries among them) could contribute to reducing the dependence of economies on natural resources, and hence the dependence of public revenue on resource revenue. Therefore, policies in favour of economic diversification would contribute to stabilizing non-resource revenue, which is essential for financing development needs.Originality/valueTo the best of our knowledge, this topic has not been addressed in the literature.

Trade space and trade policy: an empirical assessment

2018 ◽  
Vol 45 (3) ◽  
pp. 498-520
Author(s):  
Sena Kimm Gnangnon
Keyword(s):  
Trade Policy ◽  
Empirical Analysis ◽  
Policy Design ◽  
Data Set ◽  
Content Type ◽  
Generalized Methods Of Moments ◽  
Restrictive Measures ◽  
Methods Of Moments ◽  
The Empirical Analysis ◽  
Positive Effect

Purpose The purpose of this paper is to examine the behavior of governments in terms of trade policy design when they experience a lack of foreign resources from international trade after ensuring the sustainability of their external debt. To do so, the paper defines two concepts of trade space: “De Facto Trade Space” and “De Jure trade space.” Design/methodology/approach To conduct this study, the author relies on a panel data set comprising 109 countries over the period 1998–2014. To perform the empirical analysis, the author has mainly used the system generalized methods of moments approach. Findings The empirical analysis suggests evidence that trade space matters significantly for trade policy. Indeed, “De Facto Trade Space” is consistently associated with greater trade policy liberalization, with this positive effect being higher, the higher the development level – proxied by the real per capita income – of the concerned country. “De Jure Trade Space” tends to lead to greater trade policy liberalization in less advanced developing countries, but is associated with the adoption of trade restrictive measures in more advanced countries. Additionally, results suggest different impacts on trade policy of “Positive De Jure Trade Space” and “Negative De Jure Trade Space.” Research limitations/implications These findings suggest that the trade space, as defined in this study, plays a key role in trade policy design by policymakers. Practical implications The current study shows that trade space could significantly matter for trade policy design by policymakers. Originality/value To the best of the author’s knowledge, this is the study dealing directly with the “trade space” concept as well as its impact on trade policy.

Fusion based learning approach for predicting concrete pouring productivity based on construction and supply parameters

2016 ◽  
Vol 16 (2) ◽  
pp. 185-202 ◽  
Author(s):  
Mojtaba Maghrebi ◽  
Ali Shamsoddini ◽  
S. Travis Waller
Keyword(s):  
Supply Chain ◽  
Production Rate ◽  
Learning Method ◽  
Data Set ◽  
Content Type ◽  
Field Database ◽  
The Stability ◽  
Stable Learning ◽  
Ready Mixed Concrete ◽  
Practical Implications

Purpose The purpose of this paper is to predict the concrete pouring production rate by considering both construction and supply parameters, and by using a more stable learning method. Design/methodology/approach Unlike similar approaches, this paper considers not only construction site parameters, but also supply chain parameters. Machine learner fusion-regression (MLF-R) is used to predict the production rate of concrete pouring tasks. Findings MLF-R is used on a field database including 2,600 deliveries to 507 different locations. The proposed data set and the results are compared with ANN-Gaussian, ANN-Sigmoid and Adaboost.R2 (ANN-Gaussian). The results show better performance of MLF-R obtaining the least root mean square error (RMSE) compared with other methods. Moreover, the RMSEs derived from the predictions by MLF-R in some trials had the least standard deviation, indicating the stability of this approach among similar used approaches. Practical implications The size of the database used in this study is much larger than the size of databases used in previous studies. It helps authors draw their conclusions more confidently and introduce more generalised models that can be used in the ready-mixed concrete industry. Originality/value Introducing a more stable learning method for predicting the concrete pouring production rate helps not only construction parameters, but also traffic and supply chain parameters.

Risk connectedness of selected CESEE stock markets: a spillover index approach

2019 ◽  
Vol 10 (4) ◽  
pp. 447-472 ◽  
Author(s):  
Tihana Škrinjarić ◽  
Boško Šego
Keyword(s):  
Empirical Analysis ◽  
Stock Markets ◽  
Investment Strategies ◽  
Content Type ◽  
Index Approach ◽  
Dynamic Portfolio ◽  
International Investors ◽  
Developed Stock Markets ◽  
The Empirical Analysis ◽  
Over Time

Purpose The purpose of this paper is to empirically evaluate risk spillovers between selected CESEE (Central, Eastern and South-Eastern Europe) stock markets in order to evaluate the possibilities of an international diversification of a portfolio. Design/methodology/approach The VAR model and the Diebold and Yilmaz (2009, 2012) spillover index are used, with rolling indices estimation over time in order to observe dynamics, which is important for investment strategies. Data are monthly and include selected CESEE stock market indices which were available to the researcher. Findings The empirical analysis for the period of January 2012–June 2019 indicates that some country risks were the net emitter of shocks in the system (Slovenia and Czech Republic), whereas some were net receivers (Croatia and Ukraine). The results are robust with respect to changing the length of the rolling window analysis, which means that investors could utilize such an approach in a dynamic portfolio selection. Research limitations/implications Observing only selected markets due to data (un)availability. Practical implications The paper shows how international investors can utilize the aforementioned methodology in order to make a more detailed analysis of the dynamics of stock markets connectedness so that international portfolios can be rebalanced according to the results and investors’ preferences. Originality/value This is the first such research which focuses on CESEE countries, since existing research is focused on more developed stock markets. Moreover, the empirical analysis extends to commenting the pairwise net indices over time, which is important for the dynamic portfolio rebalancing over time.

scholarly journals Impact of Multilateral Trade Liberalization on Resource Revenue

Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 60 ◽  
Author(s):  
Sena Gnangnon ◽  
Jean-François Brun
Keyword(s):  
Trade Liberalization ◽  
Full Sample ◽  
Multilateral Trade ◽  
Domestic Trade ◽  
Generalized Methods Of Moments ◽  
Negative Effect ◽  
Multilateral Trade Liberalization ◽  
Methods Of Moments ◽  
The Impact ◽  
The Empirical Analysis

This paper investigates the impact of multilateral trade liberalization on resource revenue, using an unbalanced panel dataset comprising 57 countries, including both developed and developing countries, over the period 1995–2015. By means of the two-step system Generalized Methods of Moments (GMM) estimator, the empirical analysis suggests that multilateral trade liberalization exerts a negative effect on resource revenue, probably at the benefit of non-resource revenue. However, this effect over the full sample hides a positive effect of multilateral trade liberalization on resource revenue in poorest countries, and a negative effect of multilateral trade liberalization on resource revenue in non-poorest countries of the sample. Additionally, the negative effect of multilateral trade liberalization on resource revenue over the full sample appears to be dependent on the degree of domestic trade liberalization. In fact, multilateral trade liberalization genuinely induces a reducing effect on resource revenue only if countries liberalize their domestic trade regime beyond a minimum level.

Multidimensional performance evaluation styles: budget rigidity and discretionary adjustments

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Keita Masuya ◽  
Eisuke Yoshida
Keyword(s):  
Performance Evaluation ◽  
Empirical Analysis ◽  
Environmental Uncertainty ◽  
Two Dimensions ◽  
Performance Evaluations ◽  
Performance Criteria ◽  
Content Type ◽  
Ex Post ◽  
Performance Effects ◽  
The Empirical Analysis

Purpose This study aims to reconceptualize performance evaluation styles and reveal their performance effects. Design/methodology/approach Based on a literature review, this study conceptualizes performance evaluation styles on two dimensions: priority of budgetary targets when setting performance criteria and use of accounting information for ex-post performance evaluation. This study discusses two concepts – budget rigidity and discretionary adjustments – to explain these two dimensions, and their optimal combination is then investigated by considering environmental uncertainty. The empirical analysis uses survey data from Japanese firms. Findings The results indicate that suitable combinations of budget rigidity and discretionary adjustments differ depending on environmental uncertainty. As expected, a combination of lower budget rigidity and higher discretionary adjustments is optimal in an uncertain environment. Contrary to expectations, a combination of higher budget rigidity and higher discretionary adjustments is optimal in a stable environment. Moreover, higher discretionary adjustments complement budgetary targets’ motivational effects, regardless of environmental uncertainty. Originality/value This study’s theoretical and empirical analysis suggests that it is difficult to understand the performance implications of performance evaluation styles without recognizing their multidimensionality and interdependencies. Moreover, the results demonstrate that discretionary adjustments in budget-based performance evaluations seem to act rationally in practice.

The nexus of economic growth, priority sector lending and non-performing assets: case of Indian banking sector

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dolly Gaur ◽  
Dipti Ranjan Mohapatra
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Dynamic Panel ◽  
Content Type ◽  
Generalized Methods Of Moments ◽  
Major Increase ◽  
Dynamic Panel Regression ◽  
Methods Of Moments ◽  
The Impact

PurposeIn recent years, the Indian banking sector is facing a major cause of concern in the form of Nonperforming Assets (NPA), and the priority sector lending (PSL) is generally recognized as the major factor contributing to it. Thus, the present study has been carried out with the objective of examining the relationship between priority sector lending and GDP growth. Thereafter, the role of PSL and certain other bank-specific, industry-specific and macroeconomic variables in determining NPA has been studied.Design/methodology/approachTaking a sample of 45 scheduled commercial banks, the study has been carried out for 14 years (2004–2018). Granger causality between PSL and GDP has been examined by applying the Dumitrescu-Hurlin test. For the purpose of investigating the impact of PSL and other determinants on NPA, both static and dynamic panel regression have been performed. Under the dynamic panel, system generalized methods of moments (S-GMM) approach has been followed.FindingsThe findings show that there exists a positive correlation and bidirectional causal relationship between PSL and GDP, which implies that PSL brings additional growth for the whole economy. In addition to it, PSL is found to be insignificant for the NPA ratio, and thus, it can be inferred that credit extended to government-specified sectors does not bring any major increase in the bad loan portfolio of banks.Practical implicationsThe policymakers and bank management can take a cue from the findings of this study to decrease the exposure to loan nonrepayment issue. The priority sectors are in need of formal credit for their growth, and since the rising population of the country can find employment in these sectors, banks should meet their credit needs while securing their position with regard to the NPA problem.Originality/valueThe issue of NPA determinants, and in particular, the contribution of priority sector lending in it has not been much explored for Indian banking sector. Also, the present study adds to the literature by using the causality approach for examining the importance of directed credit schemes for economic growth.

Resource-based view of innovation activity in SMEs: an empirical analysis based on the global competitiveness project

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lívia Lukovszki ◽  
András Rideg ◽  
Norbert Sipos
Keyword(s):  
Logistic Regression ◽  
Literature Review ◽  
Empirical Analysis ◽  
Binary Logistic Regression ◽  
Point Of View ◽  
Innovation Activity ◽  
Data Set ◽  
Content Type ◽  
Resources And Capabilities ◽  
The Impact

Purpose The purpose of this study is to identify the corporate functions that contribute most to the innovation success of SMEs with limited resources. After a systematic literature review, the authors used a unique primary data set of 784 SMEs from eight countries. Descriptive statistics and binary logistic regression were used to show the data set peculiarities. The logistic regression targeted the presence of innovative products and services in sales by 11 dummy variables and 4 principal factors describing SMEs’ different resources and capabilities. Design/methodology/approach The authors developed a resource-based product innovation model that is synthesising the impact of the company resources and capabilities and of the innovation activity of the company on the actual innovation performance. The authors carry out an empirical analysis of the characteristic features of innovation activity in an international sample of SMEs. Findings The results show that two corporate functions play a crucial role in the effectiveness of innovation for SMEs as follows: management and research and development (R&D). In addition, although of lesser importance, the effect of the marketing function also appears significant. The binary logistic regression had 84.2% of explanatory power. Originality/value From a scientific point of view, the SME-focussed, complex and synthesising RBV model of innovation construction and literature review can be used as a reference point for future researches. From a practical point of view, the analysis is useful for those SMEs, which want to gain a competitive advantage through innovation. Indeed, the results show that in the case of SMEs, a company wishing to innovate must invest in three corporate functions for innovation to be effective as follows: management, R&D and marketing.

Discount models in intertemporal choice: an empirical analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Isabel María Parra Oller ◽  
Salvador Cruz Rambaud ◽  
María del Carmen Valls Martínez
Keyword(s):  
Empirical Analysis ◽  
Intertemporal Choice ◽  
Hyperbolic Discounting ◽  
Least Squares Regression ◽  
Discount Function ◽  
Content Type ◽  
The Individual ◽  
Gains And Losses ◽  
First Time ◽  
The Empirical Analysis

PurposeThe main purpose of this paper is to determine the discount function which better fits the individuals' preferences through the empirical analysis of the different functions used in the field of intertemporal choice.Design/methodology/approachAfter an in-depth revision of the existing literature and unlike most studies which only focus on exponential and hyperbolic discounting, this manuscript compares the adjustment of data to six different discount functions. To do this, the analysis is based on the usual statistical methods, and the non-linear least squares regression, through the algorithm of Gauss-Newton, in order to estimate the models' parameters; finally, the AICc method is used to compare the significance of the six proposed models.FindingsThis paper shows that the so-called q-exponential function deformed by the amount is the model which better explains the individuals' preferences on both delayed gains and losses. To the extent of the authors' knowledge, this is the first time that a function different from the general hyperbola fits better to the individuals' preferences.Originality/valueThis paper contributes to the search of an alternative model able to explain the individual behavior in a more realistic way.

Concentration and financial stability in the property-liability insurance sector: global evidence

2017 ◽  
Vol 18 (3) ◽  
pp. 284-302 ◽  
Author(s):  
Muhammed Altuntas ◽  
Jannes Rauch
Keyword(s):  
Financial Stability ◽  
Empirical Support ◽  
Policy Implications ◽  
Large Set ◽  
Data Set ◽  
Content Type ◽  
Global Database ◽  
Insurance Sector ◽  
Insurance Firms ◽  
The Stability

Purpose This paper aims to examine the effect of concentration in the insurance sector on insurer stability for a large set of developed and developing countries. In particular, the authors test whether concentration reduces financial fragility in the insurance sector (“concentration-stability view”) or decreases stability in the insurance sector (“concentration-fragility view”). Design/methodology/approach The authors use a data set of 14,402 firm-year observations of property-liability insurers who appear in A.M. Best’s Statement File Global database during the period 2004-2012. They use regression analyses to examine the effect of concentration on the stability of insurance firms and apply different measures of concentration. Findings The results provide empirical support for the “concentration- fragility view”; that is, higher levels of concentration are associated with decreases in the insurance sector’s financial stability. Research limitations/implications The results have important policy implications, given that a primary purpose of insurance regulation is to protect policyholders against insurance firm defaults. Originality/value No previous research analyzes how recent trends in competition and consolidation, which have led to changes in insurance market concentration, affect the stability of insurance firms around the world. This research is the first paper that provides evidence on the relation between concentration and stability in the insurance sector.

Entrepreneurial activities and models of advanced European science and technology universities

2019 ◽  
Vol 57 (12) ◽  
pp. 3447-3472 ◽  
Author(s):  
Riccardo Ricci ◽  
Alessandra Colombelli ◽  
Emilio Paolucci
Keyword(s):  
Economic Development ◽  
Best Practices ◽  
Empirical Analysis ◽  
Local Economic Development ◽  
Entrepreneurial University ◽  
Primary Data ◽  
Content Type ◽  
Qualitative Approaches ◽  
Entrepreneurial Activities ◽  
The Empirical Analysis

Purpose The purpose of this paper is threefold. It is aimed at identifying: a broad set of entrepreneurial activities; different university entrepreneurial models; and the entrepreneurial best practices of advanced European S&T universities. Design/methodology/approach The paper has adopted a mixed-method design. By mainly relying on primary data, collected through questionnaires and interviews with those in charge of the technology transfer offices of 20 universities belonging to the CESAER association, the empirical analysis has combined both quantitative and qualitative approaches. Findings The results of the empirical analysis have allowed five entrepreneurial activities to be identified. Three main entrepreneurial university models, based on different configurations of entrepreneurial activities, on different organisational and ecosystem characteristics and on a set of entrepreneurial best practices: an “engage” model, which focusses on local economic development; a “formal” model, which focusses on the financial advantage of universities and their faculties; and a “comprehensive” model, which focusses on the local economic development and the financial advantage of universities and their faculties. Research limitations/implications The first limitation of the present paper concerns the limited number of sampled universities. Moreover, this paper is limited to the European area. Future research could enlarge this study by increasing the number of universities and by focusing on other geographical areas. Furthermore, the paper does not assess the effectiveness of the identified entrepreneurial models in supporting entrepreneurship and local economic development. Further research could extend the present analysis and fill these gaps. Originality/value The paper contributes to the extant literature under many respects. First, it relies on original primary data. Moreover, it extends previous literature by encompassing the conventional distinction between formal and informal entrepreneurial activities. It also contributes to the emerging literature on entrepreneurial university models and the strategic approaches by identifying the different models of entrepreneurial universities in the European setting of S&T universities focusing on the role played by organisational and regional factors in affecting the adoption of a specific model by universities.

Sign in / Sign up

Export Citation Format

Share Document