Hanen Ragoubi, Sana El Harbi · International Review of Applied Economics · 2017
The main objective of this paper is to empirically analyze the relationship between entrepreneurship and income inequality. We use a spatial panel data analysis for both 33 high-income countries and 39 middle- and low-income countries over a period of 11 years. Estimation results and rigorous diagnostic analysis suggest that: (i) there is a strong support for the existence of an inverted U-shaped relationship between entrepreneurship and income inequality espoused by the Kuznets Curve hypothesis; (ii) the relationship between entrepreneurship and income inequality is negatively moderated by country’s level of economic development; (iii) regardless of income inequality levels, entrepreneurship has a non-linear relationship with income per capita; (iv) gross domestic expenditure on research and development exhibits significant negative impacts on entrepreneurship; (v) significant mixed effects on the likelihood of entrepreneurial activity are observed with governance, globalization, population growth rate, and competitiveness variables; (vi) there are significant mixed feedback effects on entrepreneurship; and (vii) there are statistically significant, positive as well as negative spatial spillovers to country-level entrepreneurial activity.
Cited by 45
Ragoubi, Hanen, Harbi, Sana El · CiencIPCA · 2021
Cited by 0Open access
Kunpeng Li · Journal of Econometrics · 2017
Cited by 31
João Paulo de Oliveira Louzano, Luíz Antônio Abrantes, Antônio Carlos Brunozi Júnior · Brazilian Business Review · 2023
Brazilian Fiscal Federalism makes intensive use of mechanisms of interjurisdictional transfers as strategies to combat poverty and regional differences, even while recognizing that, if poorly conceived, they can generate or aggravate existing regional demands and create externalities that affect the behavior of economic development of the recipients´ governments. In this sense, this paper aims to assess the effect of intergovernmental transfers from the State Participation Fund (FPE) on the economic development of Brazilian states. To this end, we employed spatial panel data models for the 27 Brazilian federative units from 1997 to 2016. The results show that when spatial dependence is controlled, the spatially lagged FPE has a negative effect on the GDP per capita of the states. This indicates that the criteria for determining the fund transfers must be expanded, considering other factors besides the sole equalization of horizontal imbalances between states.
Cited by 0Open access
Zhang, Yida · Zenodo (CERN European Organization for Nuclear Research) · 2023
This release contains analysis code and data for the paper entitled "Gene panel selection for targeted spatial transcriptomics"
Cited by 0Open access
A. Bonaccorsi, PISCITELLO, LUCIA, ROSSI, CRISTINA · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2005
Cited by 0
Alda, Nastasya Maretav · Andalas University eThesis (Andalas University) · 2023
This research aims to determine the effect of financial inclusion, unemployment rate, and education to income inequality in cities/regions in Sumatra. This research also aims to see the spatial autocorrelation between each regions in Sumatera. To analyze the data using econometric techniques such as OLS (Ordinary Least Square), spatial autoregressive model, spatial error model, and spatial durbin model. According to the results, this research is using the spatial error model due to this model has the lowest AIC and BIC value. The result found that financial inclusion, unemployment, and economic growth have a significant effect on income inequality. The results also shows that there is spatial autocorrelation between each regions or cities in Sumatera. \n \nKeyword: income inequality, financial inclusion, spatial analysis, SAR, SEM, SDM, moran’s I.
Cited by 0Open access
Ling Xiong, Shaozhou Qi · The Singapore Economic Review · 2016
Using the panel data of 30 provinces in China between 1997 and 2011, we employed the extended STIRPAT model and spatial panel econometrics methods to investigate the relationship between financial development and carbon emissions and test the influence of financial development as well as other factors on provincial carbon emissions per capita among Chinese provinces. The estimation results show that: (i) spatial spillover effects play a role in provincial carbon emissions in China; and (ii) the sum of technical effect and structure effect of financial development surpass its’ sum of direct effect and wealth effect in China, which suggests that financial development reduces carbon emissions per capita. China should pay more attention to the integration of green finance policy and environmental regulation, and establish appropriate mechanisms to strengthen inter-provincial interaction and coordinated development.
Cited by 58
Qasim Raza, Hafsa Hina · The Pakistan Development Review · 2016
This study examines the spatial dependence, direct and indirect effects of fiscal decentralisation on the provincial economic growth of Pakistan. Due to spatial dependence, spatial econometric technique is applied on the augmented growth of Mankiw, et al. (1992) by incorporating the fiscal decentralisation variable in the theoretical framework. The empirical analysis is based on the spatial panel data set, which is used from 1990 to 2011 of provinces. Model is selected on basis of specific to general and general to specific approach, and decided two-way fixed effects Spatial Durbin model (SDM) is appropriate for our data. We have estimated the SDM by maximum likelihood (bias corrected and random effect) estimation technique, otherwise, if we applied OLS and ignore the spillover effect which makes our estimated parameters biased and inconsistent. Results show that revenue decentralisation has positive, while expenditure decentralisation has negative effect to provincial economic growth. Spillover effects are found to be significant in case of revenue decentralisation and insignificant in case of expenditure. Negative and insignificant spillover effect of expenditure decentralisation is due to weak institutions, lack of intra governmental competition, and absence of political vision which may increase the level of corruption and less accountability. On the basis of econometric analysis, it may be suggested that federal government should transfer the resources to provinces as determined in the 18th amendment, and it is the responsibility of provincial government to train their officials in the area of professional ethics, technical and administrative skills by different programmes. JEL Classification: C31, C33, H3, H50 Keywords: Fiscal Decentralisation, Spatial Econometrics, Revenue, Expenditure
Cited by 3Open access
Di Wang, Tao Zhou, Feng Lan et al. · Telecommunications Policy · 2021
Cited by 72
Enríquez Sierra, Hernán, Campo Robledo, Jacobo · RePEc: Research Papers in Economics
The paper analyzes the migration dynamics in Americas from 1960 to 2005 using an equilibrium approach as is proposed in Sjaastad (1969) y Todaro (1969). With recent spatial econometrics techniques the migration flow is evaluated, controlling for labor mobility effect and regional wages. Additionally, the estimated model looks for variations in migration taking into account distinctive population features in each country, specifically, the portion of people in labor age, unemployment and relative wage. The estimated model shows that spatial equilibrium related to net migration is negative affected by wages and positively by labor supply.
Cited by 0
Weixiang Xu, Yao Pang, Meng Ye · Arabian Journal of Geosciences · 2021
Cited by 2
Pinuccia Pasqualina Calia, Cristina Brasili, Zbigniew Mogiła · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2023
Cohesion Policy has been the major tool for the EU to struggle against regionaldisparities. Its impact on regional development has always been an important researchtheme. The main aim of our paper is to analyse the impact of Cohesion Policy on thedevelopment of EU NUTS-2 regions in the period 2007-2018, by adopting a Beta-con-vergence model approach, and trying to overcome its main limitations, i.e. endogene-ity, spatial relationship and heterogeneity. In addition, we conduct analysis using bothcross-sectional and panel data. The results show strong evidence of growth convergencebetween regions and a slightly positive Cohesion Policy impact on regional development.While richer regions benefit more from EU support in the short-run, lagging regions tendto experience greater economic effects over time.
Cited by 0Open access
Muhammad Tariq Majeed, Maria Mazhar · Environmental and Sustainability Indicators · 2021
This study examines the effect of environmental degradation on output volatility using spatial panel data models namely spatial lag model (SLM), spatial error model (SEM) and spatial Durbin model (SDM). For a comparative analysis, non-spatial models namely pooled OLS, fixed effects and random effects are also employed. Environmental degradation is proxied through carbon dioxide (CO2) emissions. The analysis is performed for 127 nations covering the period from 1996 to 2014. The findings reveal that environmental degradation increases output volatility in both non-spatial and spatial models. Furthermore, spillover effects of carbon emissions are positive and significant suggesting that national output volatility increases with the increase in adjacent economy’s carbon emissions. Further, the spatial parameters spatial rho and lambda are also positive and significant proving the arguments that output volatility in one specific location spillovers to the nearby neighbor and to the far away trading partner. These findings are robust to the use of methane emissions as an alternative environmental indicator. The findings suggest that to attain sustainable growth, regulatory authorities need to take actions for minimizing environmental degradation not only from its own country but also from the international community to control the environmental stress.
Cited by 15Open access
Wenbo Gu, Fangyuan Kang · Journal of Physics Conference Series · 2024
Abstract The Spatial Dynamic Panel Data (SDPD) model is a widely used statistical model in the fields of economics and social sciences and has been the subject of extensive research by many scholars in recent years. Existing methods for parameter estimation primarily focus on improvements to the Generalized Method of Moments (GMM) and Quasi-Maximum Likelihood (QML). In this paper, we employ the method of Empirical Likelihood (EL) for statistical inference of the dynamic spatial panel data model and obtain confidence regions for the parameters. Through numerical simulations, we present the performance of the confidence regions obtained using the Empirical Likelihood (EL) and the Asymptotically Normal (NA) methods under finite samples and compare the two approaches. Finally, we analyze carbon using the suggested model and techniques.
Cited by 0Open access
Francesco Pastore, Joanna Tyrowicz, Francesco Pastore et al. · 2012
Any opinions expressed here are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but the institute itself takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be
Cited by 0
Bogdan Daraban, Gary M. Fournier · Research in Transportation Economics · 2008
Cited by 47
Mohammad Hassan Tarazkar, Parisa Zakian, Behnaz Saboori et al. · Spatial Information Research · 2024
Cited by 1
Zhang, Jing · Figshare · 2025
The zip file contains my research raw data.
Cited by 0Open access
Zhang, Jing · Figshare · 2025
The zip file contains my research raw data.
Cited by 0Open access