Jhean Steffan Martines de Camargo | Universidade Federal De Sao Carlos (original) (raw)

Uploads

Papers by Jhean Steffan Martines de Camargo

Cambridge Journal of Economics, Sep 7, 2017

The main purpose of this paper is to apply big-data and scale-free complex network techniques to ... more The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLAC and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLAC economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network’s periphery.

O objetivo principal desse trabalho é a aplicação de técnicas de Big Data e redes complexas scale... more O objetivo principal desse trabalho é a aplicação de técnicas de Big Data e redes complexas scale-free para o estudo do comércio mundial, com foco específico na investigação das ideias cepalinas e estruturalistas. Um objetivo secundário do trabalho é ilustrar o potencial de utilização das abordagens da nova ciência das redes complexas em economia, no que vem sendo mais recentemente conhecido como uma agenda de pesquisa de econofísica. Trabalhamos com dados para uma rede comercial com 101 países e 762 produtos que geraram 1.756.224 links no ano de 2013. Os resultados empíricos baseados em metodologias computacionais para análise das redes aqui reportados apontam na direção do que diziam os economistas da CEPAL; países de renda per capita elevada se concentram na produção e exportação de bens manufaturados e complexos no centro da rede, países de renda per capita baixa se concentram na produção e exportação de commodities não complexas na periferia da rede.

O objetivo principal desse trabalho e a aplicacao de tecnicas de Big Data e redes complexas scale... more O objetivo principal desse trabalho e a aplicacao de tecnicas de Big Data e redes complexas scale-free para o estudo do comercio mundial, com foco especifico na investigacao das ideias cepalinas e estruturalistas. Um objetivo secundario do trabalho e ilustrar o potencial de utilizacao das abordagens da nova ciencia das redes complexas em economia, no que vem sendo mais recentemente conhecido como uma agenda de pesquisa de econofisica. Trabalhamos com dados de 101 paises e 762 produtos (SITC-4) que geraram 1.756.224 links no ano de 2013. Os resultados empiricos baseados em metodologias computacionais para analise das redes aqui reportados apontam na direcao do que diziam os economistas da CEPAL; paises de renda per capita elevada se concentram na producao e exportacao de bens manufaturados e complexos no centro da rede, paises de renda per capita baixa se concentram na producao e exportacao de commodities nao complexas na periferia da rede.

A wide range of economic development theoreticians have discussed the manufacturing sector’s prop... more A wide range of economic development theoreticians have discussed the manufacturing sector’s properties as an engine for economic growth. More recently, the sophisticated services sector began to share similar characteristics with the industrial sector as a driver for economic growth, particularly as a locus of technological innovation. This paper considers the symbiotic relationship between these two sectors, and assesses their importance in the technological development of countries. More precisely, this study uses economic complexity analysis and input-output matrices to assess the importance of employment creation in advanced sectors for development of countries. Results show that in the long-run, economic development depends on the effort and the ability of countries to generate employment in advanced sectors.

This paper shows that the Dutch disease can be more formally characterised as low economic comple... more This paper shows that the Dutch disease can be more formally characterised as low economic complexity using ECI-type indicators; there is a solid and robust inverse relationship between exports concentrating on natural resources and economic complexity as measured by complexity indicators for a database of 122 countries from 1963 to 2013. In a large majority of cases, oil answers for shares in excess of 50% of exports. In addition to empirical panel analysis, we address case studies concerned with Indonesia and Nigeria and introduce a brief review of the theoretical literature on the topic. Indonesia is considered in the literature as a good example in avoiding the negative effects of the Dutch disease, whereas Nigeria is taken as a bad example in terms of institutions and policies adopted during the seventies and eighties. The empirical results show that complexity analysis and Big Data may offer significant contributions to the still-current debate surrounding the Dutch disease.

The main purpose of this paper is to apply big-data and scale-free complex network techniques to ... more The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLA and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLA economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network’s periphery.

Cambridge Journal of Economics, 2017

The main purpose of this paper is to apply big-data and scale-free complex network techniques to ... more The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLAC and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLAC economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network’s periphery.

A wide range of economic development theoreticians has discussed the manufacturing sector’s prope... more A wide range of economic development theoreticians has discussed the manufacturing sector’s properties as an engine for economic growth. More recently, the sophisticated services sector began to share similar characteristics with the industrial sector as a driver for economic growth, particularly as a locus of technological innovation. This paper considers the symbiotic relationship between these two sectors, and assesses their importance in the technological development of countries. More precisely, this study uses economic complexity analysis and input-output matrices to assess the importance of employment creation in advanced sectors of countries. Results show that in the long-run economic complexity depends on the effort and the ability of countries to generate employment in manufacturing and sophisticated services sectors.

This paper shows that the Dutch disease can be more formally characterised as low economic comple... more This paper shows that the Dutch disease can be more formally characterised as low economic complexity using ECI-type indicators; there is a solid and robust inverse relationship between exports concentrating on natural resources and economic complexity as measured by complexity indicators for a database of 122 countries from 1963 to 2013. In a large majority of cases, oil answers for shares in excess of 50% of exports. In addition to empirical panel analysis, we address case studies concerned with Indonesia and Nigeria and introduce a brief review of the theoretical literature on the topic. Indonesia is considered in the literature as a good example in avoiding the negative effects of the Dutch disease, whereas Nigeria is taken as a bad example in terms of institutions and policies adopted during the seventies and eighties. The empirical results show that complexity analysis and Big Data may offer significant contributions to the still-current debate surrounding the Dutch disease.

The main purpose of this paper is to apply big-data and scale-free complex network techniques to ... more The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLA and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLA economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network's periphery.

A wide range of economic development theoreticians have discussed the manufacturing sector's prop... more A wide range of economic development theoreticians have discussed the manufacturing sector's properties as an engine for economic growth. More recently, the sophisticated services sector began to share similar characteristics with the industrial sector as a driver for economic growth, particularly as a locus of technological innovation. This paper considers the symbiotic relationship between these two sectors, and assesses their importance in the technological development of countries. More precisely, this study uses economic complexity analysis and input-output matrices to assess the importance of employment creation in advanced sectors for development of countries. Results show that in the long-run, economic development depends on the effort and the ability of countries to generate employment in advanced sectors.

Cambridge Journal of Economics, Sep 7, 2017

The main purpose of this paper is to apply big-data and scale-free complex network techniques to ... more The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLAC and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLAC economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network’s periphery.

O objetivo principal desse trabalho é a aplicação de técnicas de Big Data e redes complexas scale... more O objetivo principal desse trabalho é a aplicação de técnicas de Big Data e redes complexas scale-free para o estudo do comércio mundial, com foco específico na investigação das ideias cepalinas e estruturalistas. Um objetivo secundário do trabalho é ilustrar o potencial de utilização das abordagens da nova ciência das redes complexas em economia, no que vem sendo mais recentemente conhecido como uma agenda de pesquisa de econofísica. Trabalhamos com dados para uma rede comercial com 101 países e 762 produtos que geraram 1.756.224 links no ano de 2013. Os resultados empíricos baseados em metodologias computacionais para análise das redes aqui reportados apontam na direção do que diziam os economistas da CEPAL; países de renda per capita elevada se concentram na produção e exportação de bens manufaturados e complexos no centro da rede, países de renda per capita baixa se concentram na produção e exportação de commodities não complexas na periferia da rede.

O objetivo principal desse trabalho e a aplicacao de tecnicas de Big Data e redes complexas scale... more O objetivo principal desse trabalho e a aplicacao de tecnicas de Big Data e redes complexas scale-free para o estudo do comercio mundial, com foco especifico na investigacao das ideias cepalinas e estruturalistas. Um objetivo secundario do trabalho e ilustrar o potencial de utilizacao das abordagens da nova ciencia das redes complexas em economia, no que vem sendo mais recentemente conhecido como uma agenda de pesquisa de econofisica. Trabalhamos com dados de 101 paises e 762 produtos (SITC-4) que geraram 1.756.224 links no ano de 2013. Os resultados empiricos baseados em metodologias computacionais para analise das redes aqui reportados apontam na direcao do que diziam os economistas da CEPAL; paises de renda per capita elevada se concentram na producao e exportacao de bens manufaturados e complexos no centro da rede, paises de renda per capita baixa se concentram na producao e exportacao de commodities nao complexas na periferia da rede.

A wide range of economic development theoreticians have discussed the manufacturing sector’s prop... more A wide range of economic development theoreticians have discussed the manufacturing sector’s properties as an engine for economic growth. More recently, the sophisticated services sector began to share similar characteristics with the industrial sector as a driver for economic growth, particularly as a locus of technological innovation. This paper considers the symbiotic relationship between these two sectors, and assesses their importance in the technological development of countries. More precisely, this study uses economic complexity analysis and input-output matrices to assess the importance of employment creation in advanced sectors for development of countries. Results show that in the long-run, economic development depends on the effort and the ability of countries to generate employment in advanced sectors.

This paper shows that the Dutch disease can be more formally characterised as low economic comple... more This paper shows that the Dutch disease can be more formally characterised as low economic complexity using ECI-type indicators; there is a solid and robust inverse relationship between exports concentrating on natural resources and economic complexity as measured by complexity indicators for a database of 122 countries from 1963 to 2013. In a large majority of cases, oil answers for shares in excess of 50% of exports. In addition to empirical panel analysis, we address case studies concerned with Indonesia and Nigeria and introduce a brief review of the theoretical literature on the topic. Indonesia is considered in the literature as a good example in avoiding the negative effects of the Dutch disease, whereas Nigeria is taken as a bad example in terms of institutions and policies adopted during the seventies and eighties. The empirical results show that complexity analysis and Big Data may offer significant contributions to the still-current debate surrounding the Dutch disease.

The main purpose of this paper is to apply big-data and scale-free complex network techniques to ... more The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLA and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLA economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network’s periphery.

Cambridge Journal of Economics, 2017

The main purpose of this paper is to apply big-data and scale-free complex network techniques to ... more The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLAC and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLAC economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network’s periphery.

A wide range of economic development theoreticians has discussed the manufacturing sector’s prope... more A wide range of economic development theoreticians has discussed the manufacturing sector’s properties as an engine for economic growth. More recently, the sophisticated services sector began to share similar characteristics with the industrial sector as a driver for economic growth, particularly as a locus of technological innovation. This paper considers the symbiotic relationship between these two sectors, and assesses their importance in the technological development of countries. More precisely, this study uses economic complexity analysis and input-output matrices to assess the importance of employment creation in advanced sectors of countries. Results show that in the long-run economic complexity depends on the effort and the ability of countries to generate employment in manufacturing and sophisticated services sectors.

This paper shows that the Dutch disease can be more formally characterised as low economic comple... more This paper shows that the Dutch disease can be more formally characterised as low economic complexity using ECI-type indicators; there is a solid and robust inverse relationship between exports concentrating on natural resources and economic complexity as measured by complexity indicators for a database of 122 countries from 1963 to 2013. In a large majority of cases, oil answers for shares in excess of 50% of exports. In addition to empirical panel analysis, we address case studies concerned with Indonesia and Nigeria and introduce a brief review of the theoretical literature on the topic. Indonesia is considered in the literature as a good example in avoiding the negative effects of the Dutch disease, whereas Nigeria is taken as a bad example in terms of institutions and policies adopted during the seventies and eighties. The empirical results show that complexity analysis and Big Data may offer significant contributions to the still-current debate surrounding the Dutch disease.

The main purpose of this paper is to apply big-data and scale-free complex network techniques to ... more The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLA and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLA economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network's periphery.

A wide range of economic development theoreticians have discussed the manufacturing sector's prop... more A wide range of economic development theoreticians have discussed the manufacturing sector's properties as an engine for economic growth. More recently, the sophisticated services sector began to share similar characteristics with the industrial sector as a driver for economic growth, particularly as a locus of technological innovation. This paper considers the symbiotic relationship between these two sectors, and assesses their importance in the technological development of countries. More precisely, this study uses economic complexity analysis and input-output matrices to assess the importance of employment creation in advanced sectors for development of countries. Results show that in the long-run, economic development depends on the effort and the ability of countries to generate employment in advanced sectors.