An empirical note on entrepreneurship and unemployment

2016 ◽  
Vol 5 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Nicholas Apergis ◽  
James E Payne

Purpose – The purpose of this paper is to extend the existing literature on the causal dynamics between entrepreneurship and the unemployment rate (UR) in the use of the Kauffman Foundation index of entrepreneurial activity. Design/methodology/approach – Recently developed panel unit root tests with recognition of cross-sectional dependence and panel cointegration/error correction modeling techniques are applied to US States. Findings – The results indicate that the rate of entrepreneurship, the UR, and real per capita personal income are cointegrated. The panel error correction model reveals that bidirectional causality exists among the variables in both the short run and long run. With respect to entrepreneurship, an increase in the UR increases the rate of entrepreneurship, in turn, an increase in the rate of entrepreneurship lowers the UR. Moreover, the results also show a positive bidirectional relationship between the rate of entrepreneurship and real per capita personal income. Originality/value – Unlike other standard measures of entrepreneurship, this is the first empirical study of the causal dynamics between entrepreneurship and the UR using the Kauffman Foundation index of entrepreneurial activity.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.


2020 ◽  
pp. 097215091987350
Author(s):  
Ramesh Chandra Das ◽  
Kamal Ray

In emerging labour market, particularly, the direct and indirect association between employment level and foreign direct investment (FDI) in a dynamic economy is non-deniable. Like private and public investments, FDI promotes employment generating agenda and at the same time, sound employment scenario of an economy attracts FDI to inflow. Under this backdrop, the present study attempts to examine whether employment and net FDI inflow have long-run associations and short-run dynamics in South Asian economies for the period 1991–2016. Applying cointegration and Granger causality tests for individual country level and panel cointegration, vector error correction and Wald test on the two standardized variables—employment–population ratio and per capita net FDI inflow—reveal that the two indicators have cointegrating relations for Bangladesh and Nepal and FDI makes a cause to employment generation in Bangladesh only. Further, the panel data exercise shows the existence of long-run or equilibrium relations linking the two indicators without significant error correction results. The Wald test results show that there is short-run causality working from employment ratio to per capita FDI and vice versa. The study, thus, prescribes for ensuring quality environment in the concerned domestic economies of the region so that employment opportunities invite FDI inflow to their territories.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nahla Samargandi ◽  
Kazi Sohag ◽  
Ali Kutan ◽  
Maha Alandejani

PurposeThe authors reinforce the existing literature on the effect of overall globalization on institutional quality (IQ), while incorporating the effects of economic, political and social aspects of globalization, human capital, government expenditure and population growth. To this end, the authors estimate panel data models for a sample of 36 member countries of the Organization of Islamic Cooperation (OIC) during 1984–2016.Design/methodology/approachThe authors employ the cross-sectional autoregressive distributed lags (CS-ARDL) approach.FindingsThe study’s investigation affirms the presence of an inverted U-shaped (nonlinear) relation between overall globalization and IQ indexes for the sample countries, which suggests no additional room for improvement in IQ. It also underpins the existence of an inverted-U-shaped (nonlinear) relation between political globalization and IQ. In contrast, economic and social globalizations have a U-shaped relation with IQ, implying more scope for improvement.Research limitations/implicationsThe findings have key policy implications. First, policy makers should consider a long-run approach for improving IQ and globalization over time. Second, quick reforms in the short run may not improve IQ.Practical implicationsThe results suggest that policy makers should approach the globalization process from a long-run perspective as well by designing appropriate strategies to provide a continuous but gradual increase in globalization so as to systematically monitor the threshold limits to IQ from improving globalizationOriginality/valueTo the best of the authors’ knowledge, this work is the first to empirically investigate the overall role of globalization in promoting IQ under the conditions of short-run heterogeneity and long-run homogeneity. The authors focus on the member countries of the OIC, many of which are ruled by authoritarian regimes and suffer from a poor domestic institutional setting.


2015 ◽  
Vol 42 (4) ◽  
pp. 356-367
Author(s):  
Faridul Islam ◽  
Saleheen Khan

Purpose – The purpose of this paper is to examine the dynamic relationship among immigration rate, GDP per capita, and and real wage rates in the USA. Design/methodology/approach – The paper implements the Johansen-Juselius (1990, 1992) cointegration technique to test for a long-run relationship; and for short-run dynamics the authors apply Granger causality tests under the vector error-correction model. Findings – The results show that the long-run causality runs from GDP per capita to immigration, not vice versa. Growing economy attracts immigrants. The authors also find that immigration flow depresses average weekly earnings of the natives in the long-run. Originality/value – The authors are not aware of any study on the USA addressing the impact of immigrants on labor market using a tripartite approach by explicitly incorporating economic growth. It is therefore important to pursue a theoretically justified empirical model in search of a relation to resolve on apparent immigration debate.


2017 ◽  
Vol 6 (3) ◽  
pp. 340-358 ◽  
Author(s):  
Jacob Lihn ◽  
Christian Bjørnskov

Purpose The purpose of this paper is to explore how the strength of political veto players affects the long-run credibility of economic institutions and how they jointly affect entrepreneurial activity. Design/methodology/approach The authors employ an annual panel covering 30 OECD countries from 1993 to 2011. Findings An error correction model identifies a positive and significant short-run effect on self-employment from large government spending at low levels of veto player strength. A static model conversely indicates that smaller government spending is positively associated with entrepreneurship at lower levels of veto player strength in the long run. Originality/value The authors are the first to explore the interaction of economic and political institutions in the development of entrepreneurship.


2016 ◽  
Vol I (I) ◽  
pp. 1-12
Author(s):  
Abida Yousaf ◽  
Naila Erum ◽  
Fozia Bibi

The study tests the validity of the environmental Kuznets curve (EKC) for SAARC countries by using closed and open economy Models. The Peroni Panel Cointegration technique along with FMOLS estimation techniques have been used for empirical analysis by using the data from 1972-2015. The long run and short run estimates of the closed economy model reveals positive and significant relationship between Per capita GDP, per capita GDP2 and the carbon emissions that deny the existence of EKC. The findings of open economy model signify that FDI not only helps to transfer cleaner technologies, but it enables the producers to use less pollutant technologies for the production purposes. Moreover, an increase in the forest area is helpful for reducing the carbon emissions. Finally, population density and energy consumption are proved significant contributors of carbon emissions. The study suggests that effective policies should be followed for reducing emissions, regulating FDI-environment and per capita GDP environment relationship.


2020 ◽  
pp. 097215092091844
Author(s):  
Ramesh Chandra Das ◽  
Soniya Chavan

In a globalized world, the financial sectors and the real sectors are interlinked. Although it is a common phenomenon to a developed economy in its national as well as provincial levels, it has hardly been tested for the low-income countries like India. It is further difficult to have such linkage effects at the provinces and district levels. This article aims to examine whether per capita commercial bank credit and per capita net district domestic product for the districts of West Bengal state in India have long-run associations for the period 1993–2014 in a panel data framework. Using the panel cointegration and Vector error correction mechanism (VECM) technique, the study reveals that both the financial and real sector indicators are cointegrated and the short-run errors are corrected significantly to establish that there is bilateral causality between credit and output in both long run and short run.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rita Rani Chopra

PurposeThe study aims to evaluate the long- vs short-run relationships between crops' production (output) and crops' significant inputs such as land use, agricultural water use (AWU) and gross irrigated area in India during the period 1981–2018.Design/methodology/approachThe study applied the autoregressive distributed lag (ARDL) bounds testing approach to estimate the co-integration among the variables. The study uses the error correction model (ECM), which integrates the short-run dynamics with the long-run equilibrium.FindingsThe ARDL bounds test of co-integration confirms the strong evidence of the long-run relationship among the variables. Empirical results show the positive and significant relationship of crops' production with land use and gross irrigated area. The statistically significant error correction term (ECT) validates the speed of adjustment of the empirical models in the long-run.Research limitations/implicationsThe study suggests that the decision-makers must understand potential trade-offs between human needs and environmental impacts to ensure food for the growing population in India.Originality/valueFor a clear insight into the impact of climate change on crops' production, the current study incorporates the climate variables such as annual rainfall, maximum temperature and minimum temperature. Further, the study considered agro-chemicals, i.e. fertilizers and pesticides, concerning their negative impacts on increased agricultural production and the environment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsen Bahaman-Oskooee ◽  
Hesam Ghodsi ◽  
Muris Hadzic

Purpose The purpose of this study is to assess the symmetric and asymmetric impact of a measure of policy uncertainty on house permits issued in each state of the USA. Design/methodology/approach To assess the symmetric effects, the authors use Pesaran et al.’s (2001) linear autoregressive distributed lag (ARDL) approach to error-correction modeling. To assess the asymmetric effects, they rely upon Shin et al.’s (2014) nonlinear ARDL approach to error-correction modeling. Both approaches have the advantage of producing short-run and long-run effects in one step. Findings The authors find short-run symmetric effects of policy uncertainty on house permits issued in 22 states that lasted into the long run in three states only. However, the numbers were much higher when they estimated the possibility of asymmetric effects of policy uncertainty. Indeed, they found short-run asymmetric effects in 38 states and long-run asymmetric effects in 18 states. Originality/value Some previous studies assessed the effects of a measure of policy uncertainty on house prices. In this paper, the authors extend the same analysis to the supply side of the housing market by assessing the effects of policy uncertainty on house permits in each state of the USA.


2020 ◽  
Vol 24 (5) ◽  
pp. 923-931
Author(s):  
W.A. Yusuf ◽  
S.A. Yusuf ◽  
A.A.A. Adesope ◽  
O.Z. Adebayo

Primarily, the study examined the determinants of rice import demand in Nigeria by assessing the short run and long run dynamic model  relationships among the determinants, trends and extent of causality among per capita income, population, exchange rate and price of rice imports were equally examined, using data obtained from the Central Bank of Nigeria (CBN) and National Bureau of statistics (NBS) over the period 1961 to 2013. Data obtained showed the perceived determinants of imports demand for rice in Nigeria were local rice production, rice import price, rice consumption, per capita income, and exchange rate, price of local rice, domestic stock variation, maize price, meat price and demographic  development. The short run dynamic model result showed that rice consumption, price of meat, price of maize, local rice quantity, demography development and stock variance are statistically significant at 5%. The significance of the coefficient of the error correction term confirmed theappropriateness of the error correction approach which also showed that ignoring the long run relationship is detrimental. The result however, revealed that rice import demand increases significantly with increasing rice consumption, increasing price of meat, increasing price of maize (keeping that for imported rice unchanged) and increasing demography development. Rice import price, per capita income, price of local rice and exchange rate had no significant effects on rice import demand. The study therefore recommends that locally-produced rice should be intensively improved. Keywords: demography, determinants, Error correction mechanism, rice import demand


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