The Impact of R&D on Skill-specific Employment Rates in the UK and France

2020 ◽  
pp. 1-21
Author(s):  
Amin Sokhanvar ◽  
Serhan Çiftçioğlu
Keyword(s):  
New Technologies ◽  
Negative Impact ◽  
Annual Data ◽  
Dominant Form ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Employment Rates ◽  
The Uk ◽  
The Impact ◽  
High Skill

We apply nonlinear Autoregressive-Distributed Lag (ARDL)-based methodologies to examine the nature of the effects of changes in R&D (intensity) on the employment rates of ‘high-skill’, ‘medium-skill’ and ‘low-skill’ labour and also whether or not these effects are symmetric. The empirical results based on the annual data for the period of 1991–2017 have suggested that while increased R&D has favourable effects on the employment rate of ‘high-skill’ labour in France, it has a negative impact on this type of labour in the UK. On the other hand, while the given increase in R&D has been found to be negatively affecting the employment rates of both ‘low-skill’ and ‘medium-skill’ labour in France, it has no impact on the employment rates of these two types of labour in the UK. These results may suggest that the dominant form of technological change in France is possibly a combination of ‘low-skill automation’ and ‘task-based’ whereby new technologies are simultaneously leading to replacement of ‘low-skill’ and ‘medium-skill’ labour by machines and the creation of new tasks (jobs) in which ‘high-skill’ labour has a comparative advantage. In the UK, the dominant form of new technologies resulting from additional R&D efforts seems to be in the form of ‘high-skill automation’ whereby ‘Robotics and Artificial Intelligence’ kind of new technologies might be causing replacement of ‘high-skill’ labour with machines. These results suggest that new technologies might be exerting adverse effects on income distribution in different ways in the UK and France.

scholarly journals Does Inflation have Effect on Economic Growth? Empirical Evidence from Pakistan

2020 ◽  
Vol 1 (1) ◽  
pp. 41-52
Author(s):  
Raima Nazar ◽  
Aisha Ambreen ◽  
Sumbal Sabtain
Keyword(s):  
Economic Growth ◽  
Inflation Rate ◽  
Negative Impact ◽  
Annual Data ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
Auto Regressive ◽  
The Impact ◽  
Model Technique

Pakistan is one of the developing countries instead of possessing large amount of natural resources like mines, reserves of coal, adequate amount of minerals and oil, But, Pakistan is still deprived of basic necessities of life and suffering from extreme inflation in the country. Therefore, this study is an attempt to synopsis the impact of inflation on GDP of Pakistan. This study mainly focus on the inflation rate from the period 1980 to 2016, time series annual data has been employed in the study. The Auto Regressive Distributed Lag Model technique is applied in the study in order to estimate and analyze the data. The study concludes that inflation indicates negative impact on the GDP of Pakistan and it can only be minimized if all resources of the country are properly allocated and fully utilized.

Asymmetric relationship between tourist arrivals and employment

2020 ◽  
pp. 135481662091000
Author(s):  
Jitendra Sharma ◽  
Subrata Kumar Mitra
Keyword(s):  
Sri Lanka ◽  
Relative Stability ◽  
Annual Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Desirable Outcome ◽  
The Impact ◽  
The Relationship ◽  
Nonlinear Autoregressive ◽  
Reference Country

This article explores the relationship between the arrival of tourists and its impact on tourism-related employment. Considering the impact of tourist arrival on employment being asymmetric, we have analyzed the relationship using the nonlinear autoregressive distributed lag method proposed by Shin et al. The article analyzed how arrivals impact on employment taking Sri Lanka as a reference country and have used annual data of the variables obtained from the Sri Lanka Tourism Development Authority. It is found that for an increase in the tourist arrival by 1000, the tourism-related job employment rises by 83.8. On the contrary, with the decline in tourist arrival by the same number, the corresponding reduction in job employment is 29.8. The relatively lower reduction in employment with the fall of tourist arrival provides relative stability of employment to the tourism workforce and is a socially desirable outcome.

Discriminatory labour market experiences of A8 national high skilled workers in the UK

2014 ◽  
Vol 1 (1) ◽  
pp. 17-31 ◽  
Author(s):  
Ibrahim Sirkeci ◽  
Necla Acik ◽  
Bradley Saunders
Keyword(s):  
Labour Market ◽  
Negative Impact ◽  
The European Union ◽  
Skilled Workers ◽  
Skill Levels ◽  
Skills Mismatch ◽  
Annual Population ◽  
Employment Rates ◽  
The Uk ◽  
The Impact

Overqualification among migrants, defined as being employed in a job that is below their acquired skill levels through education, is well-known. Recent studies show that overqualification is more likely amongst migrants who work in the older EU15 member states. Similar studies carried out in the UK supports the argument that minorities suffer from ethnic and religious penalties in the labour market, especially among high skilled groups. Despite the relatively high employment rates of A8 migrants in the UK, they tend to be overwhelmingly employed in elementary occupations (i.e. requiring low skill levels) and likely to be underpaid. Very few studies have examined the propensity of overqualification of A8 nationals working in the UK. We have adopted the skills mismatch model to examine the skills level mismatch for the A8 migrants.  Therefore, a time-series analysis was carried out using  the Annual Population Survey for the period of 2005 to 2012 which marks the beginning and end of restrictions for access to the labour market for A8 nationals across the European Union. This has also given us a time span of 8 years during which the UK economy fall into recession from 2007 onwards.. The evidence shows that A8 nationals have been subject to ethnic penalties in the high end of the labour market irrespective of the impact of the financial crisis. It is very common that they take up posts for which they are overqualified, or in other words, overeducated. This is particularly important as discrimination at that level is likely to have negative impact on economic recovery by supressing the full skill and entrepreneurial potential of this particular group in the UK labour market.

scholarly journals FDI-Led-Growth in Malaysia: Autoregressive Distributed Lag (ARDL) Bounds Testing Approach

2018 ◽  
Vol 11 (11) ◽  
pp. 46
Author(s):  
Jerome Kueh ◽  
Yong Sze Wei
Keyword(s):  
Economic Growth ◽  
Financial Crisis ◽  
Global Financial Crisis ◽  
Negative Impact ◽  
Positive Impact ◽  
Bounds Testing ◽  
Policy Makers ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
The Impact

This study intends to investigate the validity of the foreign direct investment, FDI-led-growth hypothesis in Malaysia in this era. Autoregressive Distributed Lag (ARDL) bounds test approach is adopted to examine the impact of FDI inflow towards growth of Malaysia based on annually data from 1980 to 2016. Empirical results indicate that FDI inflow has significant positive impact on economic growth. This implies that FDI inflow remain important tool for stimulating economic growth of Malaysia. In addition, there is a negative impact of FDI inflow on economic growth during the 1997 Asian Financial crisis and positive impact during the 2008 Global Financial crisis. In terms of policy recommendation, the policy makers should continue to develop strategies to further attract FDI that will contribute to increasing the productivity in the country.

scholarly journals The Impact of Remittances on Economic Growth of Kyrgyzstan

2017 ◽  
Author(s):  
Burulcha Sulaimanova ◽  
Daniyar Jasoolov
Keyword(s):  
Economic Growth ◽  
Negative Impact ◽  
Estimation Methods ◽  
Kyrgyz Republic ◽  
Empirical Estimation ◽  
Vector Autoregressive ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Impact

The aim of this paper is to study the impact of remittances on the gross domestic product of Kyrgyz Republic, by using several empirical estimation methods, these are: the method of simultaneous equations, the Autoregressive Distributed Lag and Vector Autoregressive models. While there is a long run relationship between remittances and economic growth of Kyrgyzstan, according to the estimation results of the simultaneous models, there is statistically significant positive correlation of households’ final consumption and imports with remittances, and simultaneously significant positive effect of consumption on GDP, and significant, but negative impact of imports to GDP. Moreover, the small but significant impact of remittances on demand for domestic products were found.

scholarly journals Dilemma Between Deposit And Lending Rate: Savings-Investment Perspective

2021 ◽  
Vol 65 (1) ◽  
pp. 65-85
Author(s):  
Lateef Yunusa ◽  
◽  
Ibrahim Adekunle ◽  
Tolulope Williams ◽  
Jamiu Akindele ◽  
...  
Keyword(s):  
Financial Institutions ◽  
Negative Impact ◽  
Positive Impact ◽  
Deposit Rate ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Lending Rate ◽  
The Interest Rate ◽  
The Impact

The dilemma between deposit and lending rate has created challenges for financial institutions in the course of intermediation. This dilemma also made it difficult for investors to make accurate decisions which has created a lacuna in the financial system. The objective of this study is to investigate the source of the dilemma between deposit and lending rate. The study also examined the impact of deposit and lending rate on saving and investment respectively in Nigeria using the AutoRegressive Distributed Lag (ARDL) approach. The empirical result revealed the main cause of the dilemma to be the fluctuation in the deposit and lending rate. The ARDL result shows that the deposit rate has a positive impact on savings while the lending rate has a negative impact on investment in Nigeria. The monetary authority should endeavor to maintain stability of the interest rate due to the significant impact of these rates on saving, investment and economic growth at large.

scholarly journals Public debt and economic growth: Further evidence for the euro area

2018 ◽  
Vol 68 (2) ◽  
pp. 209-229 ◽  
Author(s):  
Marta Gómez-Puig ◽  
Simón Sosvilla-Rivero
Keyword(s):  
Economic Growth ◽  
Euro Area ◽  
Public Debt ◽  
Negative Impact ◽  
Annual Data ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

This paper empirically investigates the short and the long run impact of public debt on economic growth. We use annual data from both the central and the peripheral countries of the euro area (EA) for the 1961–2013 period and estimate a production function augmented with a debt stock term by applying the Autoregressive Distributed Lag (ARDL) bounds testing approach. Our results suggest different patterns across the EA countries and tend to support the view that public debt always has a negative impact on the long-run performance of EA member states, whilst its short-run effect may be positive depending on the country.

scholarly journals Natural Resources Volatility and Economic Growth: Evidence from the Resource-Rich Region

2021 ◽  
Vol 14 (2) ◽  
pp. 84
Author(s):  
Arshad Hayat ◽  
Muhammad Tahir
Keyword(s):  
Economic Growth ◽  
Saudi Arabia ◽  
Natural Resources ◽  
Negative Impact ◽  
Traditional Concept ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Significant Negative Impact ◽  
Using Data ◽  
The Impact

This research paper investigates the impact of natural resources volatility on economic growth. The paper focused on three resource-rich economies, namely, UAE, Saudi Arabia, and Oman. Using data from 1970 to 2016 and employing the autoregressive distributed lag (ARDL) cointegration approach, we found that both natural resources and their volatility matter from the perspective of growth. The study found strong evidence in favor of a positive and statistically significant relationship between natural resources and economic growth for the economies of UAE and Saudi Arabia. Similarly, for the economy of Oman, a positive but insignificant relationship is observed between natural resources and economic growth. However, we found that the volatility of natural resources has a statistically significant negative impact on the economic growth of all three economies. This study contradicts the traditional concept of the resources curse and provides evidence of the resources curse in the form of a negative impact of volatility on economic growth.

scholarly journals Income Inequality and Public Debt: What Can Be Learned from the Lebanese Indebtedness?

2020 ◽  
Vol 10 (4) ◽  
pp. 83
Author(s):  
Adham Sayed
Keyword(s):  
Income Inequality ◽  
Public Debt ◽  
Negative Impact ◽  
Correction Model ◽  
The Public ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
The Impact

This paper examines the impact of domestic public debt on income inequality in Lebanon. The analysis is carried out using the Autoregressive Distributed Lag (ARDL) approach and Error Correction Model (ECM). The data used covers the period between 1990 and 2015. By applying the bounds test, we indicate that there is the existence of a long-run relationship between our variables. Therefore, in both the short and long run, our results show that the domestic share of public debt has a positive and significant effect on income inequality. Hence, a bigger share of domestic public debt leads to wider income inequality. We also suggest steps that may halt the negative impact of public debt on equality in Lebanon, such as reforming the tax system, restructuring the public debt, and searching for sources other than borrowing to cover the budget deficit.

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