• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 2
  • 1
  • Tagged with
  • 3
  • 3
  • 2
  • 2
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

De empresário individual informal a microempreendedor individual (MEI): uma análise dos benefícios da política de formalização

VASCONCELOS, Kelly Samá Lopes de 29 April 2016 (has links)
Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-09-05T15:05:52Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Kelly_Samá_Lopes_de_Vasconcelos.pdf: 899498 bytes, checksum: 7b70712927d11b795cc4e48b29a641d6 (MD5) / Made available in DSpace on 2016-09-05T15:05:52Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Kelly_Samá_Lopes_de_Vasconcelos.pdf: 899498 bytes, checksum: 7b70712927d11b795cc4e48b29a641d6 (MD5) Previous issue date: 2016-04-29 / CAPEs / PROPESQ / A informalidade tem sido constantemente discutida na literatura econômica, e os resultados sugerem que uma vez que não existe recolhimento de tributos, são gerados impactos na arrecadação, sendo a Previdência a maior prejudicada. O objetivo desta pesquisa é analisar, a partir de características do empresário individual, as chances desses empresários contribuírem com a Previdência ou passarem a ter inscrição no Cadastro Nacional de Pessoa Jurídica, a partir da estimação de um modelo de dados em painel logit. As estimativas obtidas mostraram que as chances de formalização dos empreendedores individuais parece ter sido afetada positivamente de 2009 a 2014 ao considerar a contribuição previdenciária; já para o critério CNPJ, os resultados foram positivos, mas de pequena magnitude. Com relação às mudanças nas chances de contribuição com a Previdência, de 2004 a 2008 para 2009 a 2014, pode-se dizer que houve um aumento de 2009 a 2014 das chances de o empresário individual contribuir com a Previdência. Uma possível explicação para a ocorrência de resultados com baixa magnitude na formalização via inscrição no CNPJ estaria no curto período de análise, ou seja, são efeitos de curto prazo. / Informality has been constantly discussed in the economic literature, and the results suggest that since there is nonpayment of taxes are generated impacts on revenues, and the social security most impaired. In this paper the objective is analyze from individual entrepreneur characteristics, the chances of these entrepreneurs contribution to the security or official tax payer administrative file (CNPJ) by the informal individual entrepreneurs, from the estimation of a logit panel model. The estimates obtained demonstrated the odds of formalization of individual entrepreneurs appears to have been positively affected (2009-2014) to consider the social security contributions, as the criterion for CNPJ, the results are positive, but small in magnitude. One possible explanation for the occurrence of results with low magnitude in the formalization of CNPJ would be the short period of analysis.
2

Effect of Climate Change on Farmers' Choice of Crops: An Econometric Analysis

2013 October 1900 (has links)
Climate change is being observed through increased average temperatures world-wide, as well as through increased frequency of extreme events, such as floods and droughts. As climate is an uncontrollable yet essential input in the agriculture industry, the impact of climate change may have on crop production in Saskatchewan is of importance. The main objective of this study is to investigate how farmers adapt to climate change by switching their crop mix, and how this crop mix may change under future climate change scenarios. A fractional multinomial logit (FMNL) model was used to assess how total area of cropland has changed over a thirty year time period. The panel data included variables to represent the land characteristics of Saskatchewan (i.e. the three major soil zones - Black, Dark Brown and Brown), climatic variables to represent average monthly temperature and precipitation, and price and policy variables in order to assess how average seeded area of each crop group changed. With these results, a simple simulation model was developed to evaluate how the area of each crop group in a base year comparison (2000) would change under future climate scenarios for each soil zone. The results from the FMNL model indicate that crop allocation depends largely on the price of other crop groups and temperatures in the spring (April) and summer (July). Climate plays and important role in the major crop groups, such as wheat, canola and pulses. Cool, dry springs are the ideal conditions when choosing nearly all crops, while hot, wet summers increase the choice to leave land to summerfallow. Policy and the different soil zones also play a significant role in area allocation decisions. Changes in policies such as the removal of the Crow’s Nest Pass Agreement, and the removal of oats from the Canadian Wheat Board (CWB) marketing, had a negative impact on the choice to grow wheat, as expected. The different soil zones in Saskatchewan played an important role in area allocation for a majority of the crops, having a negative effect on the choice of wheat over every other crop group except pulses and summerfallow. Three climate change scenarios were simulated for each soil zone and compared to a base area (year 2000 area seeded) of crop groups. The findings from the projected changes in climate indicate that the area allocated to wheat will continue to decrease into the future, following current trends. The average projected decline in wheat area from the base years by 2099 ranges between 3.5% to 4.6% in the Black soil zone, between 2.7% and 2.9% in the Dark Brown and 2.7% to 4% in the brown soil zone, depending on climate change scenario. Interestingly, the area left to summerfallow is projected to increase over the future climate change scenarios. The choice of wheat is preferred over pulses, feed and forages, while the choice of specialty oilseeds (flaxseed, mustard seed and canary seed) are projected to become preferred over wheat in the future. The major conclusion from this research are: (i) following current trends, the area devoted to spring wheat and durum wheat would continue to decline into the future; (ii) Area devoted to wheat remains a preferred choice over pulses, feed and forages while specialty oilseeds represent a viable alternative choice to wheat and (iii) most significantly, summerfallow area would increase. This is in contrast to the current trend of declining summerfallow area as a result of tighter crop rotations. This finding was observed throughout all three soil zones as well as for all three climate change projection periods. This will have major implications on individual farmers as well as the economy in Saskatchewan, as summerfallow does not produce a crop in the year it is chosen. It is therefore important to determine a possible new crop mix that would benefit from the projected change in climate. This study could be improved by including a measure of profitability for each crop group and introducing a new crop group that is better suited to the projected change in climate in Saskatchewan.
3

Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering

Frühwirth-Schnatter, Sylvia, Pittner, Stefan, Weber, Andrea, Winter-Ebmer, Rudolf January 2018 (has links) (PDF)
In this paper we study data on discrete labor market transitions from Austria. In particular, we follow the careers of workers who experience a job displacement due to plant closure and observe - over a period of 40 quarters - whether these workers manage to return to a steady career path. To analyse these discrete-valued panel data, we apply a new method of Bayesian Markov chain clustering analysis based on inhomogeneous first order Markov transition processes with time-varying transition matrices. In addition, a mixtureof- experts approach allows us to model the probability of belonging to a certain cluster as depending on a set of covariates via a multinomial logit model. Our cluster analysis identifies five career patterns after plant closure and reveals that some workers cope quite easily with a job loss whereas others suffer large losses over extended periods of time.

Page generated in 0.0426 seconds