The colonial exports pattern, institutions and current economic performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tania El Kallab ◽  
Cristina Terra
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Resource Curse ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
French Colonies ◽  
Colonial Institutions ◽  
The Impact

PurposeThis paper explores the role of colonial heritage on long-term economic development from a resource-curse perspective. The authors investigate the impact of colonial exports on long-term economic development through two channels: (1) a direct impact of the economic dependency on natural resources and (2) an indirect impact via its effect on colonial institutions, which persisted over time and influenced current economic development.Design/methodology/approachTo address this issue, the authors use an original data set on French bilateral trade from 1880 to 1912. The authors use partial least square structural equation modeling (PLS-SEM) in the empirical analysis, so that the authors are able to construct latent variables (LVs) for variables that are not directly observable, such as the quality of institutions.FindingsThe authors find that exports of primary goods to France had a negative impact on colonial institutions and that for French colonies, this impact was driven by minerals exports. Despite its impact on colonial institutions, exports of French colonies had no significant indirect impact on their current institutions. The authors find no significant direct impact of colonial trade on current development for French colonies. Finally, colonial exports of manufactured products had no significant impact on colonial institutions among French colonies and a positive impact among non-French ones.Research limitations/implicationsResearch implications regarding the findings of this paper are, namely, that the relative poor performance within French colonies today cannot be attributed to the extraction of raw materials a century ago. However, human capital and institutional development, instead of exports, are more relatively important for long-term growth. Some limitations in trying to determine the simultaneous relationship among colonial trade, institutions and economic performance are the relation between colonial trade and the extent of extraction from the colonizer, which is hard to quantify, as well as its precise mechanism.Practical implicationsSince the initial institutions set in those former colonies presented a strong persistence in the long run, their governments should focus now on building sound and inclusive political and economic institutions, as well as on investing in human capital in order to foster long-term growth. Once a comprehensive set of institutional and human resources are put in place, the quality and quantity of exports might create a positive spillover on the short-run growth.Social implicationsOne social implication that can be retrieved from this study is the ever-lasting effect of both human capital investment and introduction of inclusive political and economic institutions on the long-run impact of growth.Originality/valueThe paper uses an original primary data set from archival sources to explore the role of colonial heritage on long-term economic development from a resource-curse perspective. It applies a relatively new model partial least squares path modeling (PLS-PM) that allows the construction of LVs for variables that are not directly observable, as well as channeling the impact on growth through both direct and indirect channels. Finally, it allows for the simultaneous multigroup analysis across different colonial groups.

Does corruption adversely affect economic growth in Tunisia? ARDL approach

2020 ◽  
Vol 23 (1) ◽  
pp. 38-54
Author(s):  
Anas Al Qudah ◽  
Azzouz Zouaoui ◽  
Mostafa E. Aboelsoud
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Government Expenditure ◽  
Physical Capital ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Per Capita ◽  
The Impact

Purpose This study aims to better understand the phenomenon of corruption in Tunisia in relation to its impact on economic development. The period of study is 1995 to 2014. The auto-regressive distributed lag (ARDL) model is adopted to examine the existence of a long-term relationship between the above-mentioned variables and also the direct and indirect consequences of corruption on economic development in Tunisia. Design/methodology/approach The study uses a modern econometric technique to estimating the long-term relationship (e.g. the co-integration) between corruption and economic development; using this technique also allows us to investigate the impact of corruption on economic growth. Findings The empirical results show that corruption has a negative effect on per capita gross domestic product (GDP) in Tunisia for the period under review. This effect is described as a direct effect of corruption in the long term; specifically, declines are observed in per capita GDP, over the long run, by almost 1 per cent, following a 1 per cent increase in the level of corruption. The results also show that corruption has indirect effects via transmission channels, such as investment in physical capital, which is positively significant in the presence of corruption. The same observation is made at the level of government expenditure during the previous year, while for those of the current year, the coefficient becomes negative but not significant. With respect to human capital, the impact of corruption on education expenditures is insignificant. Originality/value The paper begins with an overview of previous literature in this area. Given the nature of corruption and the differences in the meanings attributed to it, from one country to another and from one culture to another, the paper moves on to study the impact of corruption in Tunisia as a case study for one country with one socio-cultural environment. The authors then propose several methods and possible solutions, which could be implemented to deal with this problem.

Exploring the impact of intellectual capital on company reputation and performance

2018 ◽  
Vol 19 (5) ◽  
pp. 915-934 ◽  
Author(s):  
Gianluca Ginesti ◽  
Adele Caldarelli ◽  
Annamaria Zampella
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Corporate Reputation ◽  
Intangible Asset ◽  
Competition Authority ◽  
Data Set ◽  
Content Type ◽  
Capital Efficiency ◽  
And Performance ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of intellectual capital (IC) on the reputation and performance of Italian companies. Design/methodology/approach The paper exploits a unique data set of 452 non-listed companies that obtained a reputational assessment from the Italian Competition Authority (ICA). To test the hypotheses, this study implemented several regression analyses. Findings Results support the argument that human capital efficiency is a key driver of corporate reputation. Findings also reveal that companies, which obtained reputational rating under ICA scrutiny, show a positive relationship between IC elements and various measures of financial performance. Research limitations/implications The study focuses on a single country; it is not free from the imprecisions of Pulic’s VAIC model. Practical implications This paper recommends companies that are interested to achieve a robust reputation should consider the human capital as a strategic intangible asset. Second, the results suggest that companies with an ICA reputational rating are able to leverage their intangibles to potentiate performance and competitiveness. Originality/value This is the first empirical investigation on the contribution of IC in generating value for corporate reputation. Additionally, the study contributes to the literature on the link between IC and performance by examining a sample of firms not yet explored in prior research.

scholarly journals Effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan

2018 ◽  
Vol 78 (5) ◽  
pp. 592-610 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Feng Wei ◽  
Xu Guangshun
Keyword(s):  
Wheat Yield ◽  
Considerable Proportion ◽  
Small Scale ◽  
Small Farms ◽  
Short Term ◽  
Agricultural Credit ◽  
Data Set ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to evaluate the impact of short-term loan (STL) vs long-term loan (LTL) on wheat productivity of small farms in Sindh, Pakistan. Design/methodology/approach The econometric estimation is based on cross-sectional data collected in 2016 from 18 villages in three districts, i.e. Shikarpur, Sukkur and Shaheed Benazirabad, Sindh, Pakistan. The sample data set consist of 180 wheat farmers. The collected data were analyzed through different econometric techniques like Cobb–Douglas production function and Instrumental variables (two-stage least squares) approach. Findings This study reconfirmed that agricultural credit has a positive and highly significant effect on wheat productivity, while the short-term loan has a stronger effect on wheat productivity than the long-term loan. The reasons behind the phenomenon may be the significantly higher usage of agricultural inputs like seeds of improved variety and fertilizers which can be transformed into the wheat yield in the same year. However, the LTL users have significantly higher investments in land preparation, irrigation and plant protection, which may lead to higher wheat production in the coming years. Research limitations/implications In the present study, only those wheat farmers were considered who obtained agricultural loans from formal financial institutions like Zarai Taraqiati Bank Limited and Khushhali Bank. However, in the rural areas of Sindh, Pakistan, a considerable proportion of small-scale farmers take credit from informal financial channels. Therefore future researchers should consider the informal credits as well. Originality/value This is the first paper to examine the effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan. This paper will be an important addition to the emerging literature regarding effects of credit studies.

Do market size and financial development indicators affect human capital of select south Asian economies?

2019 ◽  
Vol 46 (7) ◽  
pp. 887-903 ◽  
Author(s):  
Narayan Sethi ◽  
Bikash Ranjan Mishra ◽  
Padmaja Bhujabal
Keyword(s):  
Growth Rate ◽  
Human Capital ◽  
Financial Development ◽  
South Asian ◽  
Market Size ◽  
Content Type ◽  
Development Indicators ◽  
Long Run ◽  
Asian Economies ◽  
The Impact

Purpose The purpose of this paper is to empirically investigate whether market size and its growth rate, along with financial development indicators, affect human capital in selected south Asian economies over the time period from 1984 to 2015. Design/methodology/approach The stationarity of the variables are checked by LLC, IPS, ADF and Phillips–Perron panel unit-root tests. Pedroni’s and Kao’s panel co-integration approaches are employed to examine the long-run relationship among the variables. To estimate the coefficients of co-integrating vectors, both PDOLS and FMOLS techniques are used. The short-term and long-run causalities are examined by panel granger causality. Findings From the empirical results, the authors found that both the market size and financial development play an important role in the development of human capital in the selected south Asian economies. It is evident that a large market size and faster degree of financial development in the selected countries result in better human capital formation. Originality/value There are a number of studies on the impact of financial development indicators on human capital and economic growth, but there is hardly any study that considers market size and its growth rate along with financial development indicators with human capital in the context of south Asian economies. The study fills this research gap.

Financial development, human capital and its impact on economic growth of emerging countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aaqib Sarwar ◽  
Muhammad Asif Khan ◽  
Zahid Sarwar ◽  
Wajid Khan
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Financial Development ◽  
Emerging Economies ◽  
Generalized Method Of Moments ◽  
Emerging Countries ◽  
Data Set ◽  
Content Type ◽  
The World ◽  
The Impact

Purpose This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies. Design/methodology/approach Data set ranged from 2002 to 2017 of 83 emerging countries used in this research and collected from world development indicators of the World Bank. The two-step system generalized method of moments is used to conduct this research within the endogenous growth model while controlling time and country-specific effects. Findings The findings of the study indicate that financial development has a positive and significant effect on economic growth. In emerging countries, human capital also has a positive impact on economic growth. Financial development and human capital interactively affect economic growth for emerging economies positively and significantly. Research limitations/implications The data set is limited to 83 emerging countries of the world. The time period for the study is 2002 to 2017. Originality/value This research contributes to the existing literature on human capital, financial development and economic growth. Limited research has been conducted on the impact of financial development and human capital on economic growth.

The impact of corruption on sport demand

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carlo Amenta ◽  
Paolo Di Betta
Keyword(s):  
Design Methodology ◽  
Linear Models ◽  
Negative Externalities ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Log Linear ◽  
Systemic Corruption ◽  
The Impact

PurposeThe article presents an empirical analysis that evaluates the effects of a systemic corruption scandal on the demand in the short and the long run. In 2006, the Calciopoli scandal uncovered the match rigging in the Italian soccer first division. The exemplary sportive sanction of relegating the primary culprit to the second division imposed further negative externalities on the other clubs. Should we prefer the sportive sanction on the team or the monetary fines for the club?Design/methodology/approachWe estimated two log-linear models of the demand side (stadium attendance) using a fixed effect estimator, on two panel data set made of all the Italian soccer clubs in the first and second division (Serie A and Serie B) for the seasons 2004/2005 to 2009/2010, considering the relegation of the Juventus as the event which impacted the demand for soccer.FindingsRelegating Juventus to Serie B caused an immediate decrease of 18.4% in the attendance for all the teams, both in Serie A and in Serie B, for the three seasons considered, and 1% decrease when all the seasons are considered to measure the fallout of the scandal on the fans' disaffection.Originality/valueThe effect of corruption in sport on demand is an important issue, and there are few studies already published. As for sports economics and management, our results are of interest for sport-governing bodies – as a case study that can help in designing a more effective sanctioning system to prevent corruption episodes.

scholarly journals The Long-Term Trend Analysis and Scenario Simulation of the Carbon Price Based on the Energy-Economic Regulation

2020 ◽  
Vol 12 (5) ◽  
pp. 653-668
Author(s):  
Zhao-Peng Li ◽  
Li Yang ◽  
Si-Rui Li ◽  
Xiaoling Yuan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Clean Energy ◽  
Carbon Price ◽  
Energy Development ◽  
Carbon Market ◽  
Content Type ◽  
Price Trends ◽  
The Impact

Purpose China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with various major challenges. One of the most important challenges is its impact on the social and economic development of arid and semi-arid regions. By simulating the carbon price trends under different economic development and energy consumption levels, this study aims to help the government can plan ahead to formulate various countermeasures to promote the integration of arid and semi-arid regions into the national carbon market. Design/methodology/approach To achieve this goal, this paper builds a back propagation neural network model, takes the third phase of the European Union Emissions Trading System (EU ETS) as the research object and uses the mean impact value method to screen out the important driving variables of European Union Allowance (EUA) price, including economic development (Stoxx600, Stoxx50, FTSE, CAC40 and DAX), black energy (coal and Brent), clean energy (gas, PV Crystalox Solar and Nordex) and carbon price alternatives Certification Emission Reduction (CER). Finally, this paper sets up six scenarios by combining the above variables to simulate the impact of different economic development and energy consumption levels on carbon price trends. Findings Under the control of the unchanged CER price level, economic development, black energy and clean energy development will all have a certain impact on the EUA price trends. When economic development, black energy consumption and clean energy development are on the rise, the EUA price level will increase. When the three types of variables show a downward trend, except for the sluggish development of clean energy, which will cause the EUA price to rise sharply, the EUA price trend will also decline accordingly in the remaining scenarios. Originality/value On the one hand, this paper incorporates driving factors of carbon price into the construction of carbon price prediction system, which not only has higher prediction accuracy but also can simulate the long-term price trend. On the other hand, this paper uses scenario simulation to show the size, direction and duration of the impact of economic development, black energy consumption and clean energy development on carbon prices in a more intuitive way.

scholarly journals Momentum investment strategies, corporate governance and firm performance: an analysis of Islamic banks

2017 ◽  
Vol 17 (2) ◽  
pp. 192-211 ◽  
Author(s):  
Tasawar Nawaz
Keyword(s):  
Corporate Governance ◽  
Human Capital ◽  
Positive Impact ◽  
Dominant Role ◽  
Market Value ◽  
Investment Strategies ◽  
Islamic Banks ◽  
Data Set ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to empirically examine the effect of investments in organisational resources and corporate governance features on market-based performance of Islamic banks (IBs). Design/methodology/approach The required data to calculate different constituents of banks’ investment strategies and governance mechanism were hand collected from 268 annual reports. Different regression models were used to determine the impact of investment in human and structural capital and corporate governance features on market performance of IBs. Findings The paper finds that investments in knowledge resources (human capital, in particular) have a significantly positive impact on the market value of IBs. The results further reveal that IBs’ strategy to rely on long-term human capital accumulation can be seen as idiosyncratic problem-solving knowledge capital. Based on market measure, the paper finds role duality to have a significant positive impact and the size of the advisory board to have the opposite effect on market value. Research limitations/implications This study includes IBs only and ignores other Islamic financial services providers such as Takaful (insurance) companies. The study leaves this chasm to be filled by future researchers. Practical implications The findings may serve as a useful input for both Islamic bankers and regulators to apply knowledge management in their institutions. Furthermore, the dominant role of human capital also provides insight to managers with respect to business performance levers. Originality/value The main contribution of this paper is to provide insight into the Islamic banking business model using a unique hand-collected data set, to identify the effect of investments in organisational resources and bank governance on market value in before, during and after financial crisis.

Does female human capital contribute to economic growth in India?: an empirical investigation

2017 ◽  
Vol 44 (11) ◽  
pp. 1506-1521 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Physical Capital ◽  
Variance Decomposition ◽  
Content Type ◽  
Indian Economy ◽  
Education And Health ◽  
Long Run ◽  
Short Run ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of female human capital on economic growth in the Indian economy during 1970-2014. Design/methodology/approach The paper employs Ng-Perron unit root test to check the order of integration of the variables. The study also used ARDL-bounds testing approach and the unrestricted error-correction model to investigate co-integration in the long run and short run; Granger’s causality test to investigate the direction of the causality; and variance decomposition test to capture the influence of each variable on economic growth. Findings The study constructed a composite index for both male and female human capitals by taking education and health as a proxy for human capital. The empirical findings reveal that female human capital is significant and positively related to economic growth in both short run and long run, while male human capital is positive but insignificant to the economic growth; same is the case for physical capital, it implies that such investment regarding female human capital needs to be reinforced. Further, there is an evidence of a long-run causal relationship from female human capital, male human capital and physical capital to economic growth variable. The results of variance decomposition show the importance of the female human capital variable is increasing over the time and it exerts the largest influence in change in economic growth. Research limitations/implications The empirical findings suggest that the Indian economy has to pay attention equally on the development of female human capital for short-run as well as long-run growth of the economy. This implies that the policy makers should divert more expenditure for developing support for female education and health. Originality/value To the best of authors’ knowledge, this is the first attempt to study the relationship between female human capital and economic growth in the context of the Indian economy.

scholarly journals Testing tourism-led economic growth and economic-driven tourism growth hypotheses

Tourism ◽  
2020 ◽  
Vol 68 (1) ◽  
pp. 43-57
Author(s):  
Khatai Aliyev ◽  
Nargiz Ahmadova
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Resource Curse ◽  
Crowding Out ◽  
Long Run ◽  
Tourism Sector ◽  
Tourism Resource ◽  
Short Run ◽  
Growth Hypothesis

This paper empirically investigates a causal relationship between tourism and economic growth in Georgia for 1997-2018 period by employing ARDLBT approach to cointegration. Results reject economic-driven tourism growth hypothesis for Georgia and reveal that impact of tourism development over economic growth is negative in the long-run, in contrary positive in the short-run. Obtained results suggest that there is a possibility to have a tourism resource curse in the long-term in Georgia. Georgian government should build a tourism strategy to avoid crowding out of human capital from industrial production and decrease the share of imports for the needs of tourism sector

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