Pub Date : 2024-08-23DOI: 10.1177/02601079241265744
Maziar Mardan, Ida Khosravipour
In this article, network analysis has been employed to study the dynamic evolution of the cryptocurrency market from 1 January 2020 to 1 January 2024. This approach facilitates an in-depth exploration of the market’s response to several major events during this period, including the coronavirus disease of 2019 (COVID-19) pandemic and the bankruptcy of FTX, one of the largest cryptocurrency exchanges. The study focuses on analysing key network characteristics of the cryptocurrency market, namely: (a) degree centrality, (b) betweenness centrality, (c) clustering coefficient and (d) average path length. Additionally, we explore the co-movements within the market, categorising cryptocurrencies into functional groups for a comparative analysis. This approach enables us to examine shifts in the cryptocurrency network topology, providing insights into how different groups of cryptocurrencies interact with and influence each other. Through this network analysis, we aim to shed light on the intricate interrelationships among cryptocurrencies. The findings of this study are intended to provide investors with valuable insights, potentially guiding the development of more informed and strategic diversification strategies in the dynamic and evolving landscape of the cryptocurrency market.JEL Codes: G11, G12, D85
{"title":"Dynamic Evolution Analysis of Cryptocurrency Market: A Network Science Study","authors":"Maziar Mardan, Ida Khosravipour","doi":"10.1177/02601079241265744","DOIUrl":"https://doi.org/10.1177/02601079241265744","url":null,"abstract":"In this article, network analysis has been employed to study the dynamic evolution of the cryptocurrency market from 1 January 2020 to 1 January 2024. This approach facilitates an in-depth exploration of the market’s response to several major events during this period, including the coronavirus disease of 2019 (COVID-19) pandemic and the bankruptcy of FTX, one of the largest cryptocurrency exchanges. The study focuses on analysing key network characteristics of the cryptocurrency market, namely: (a) degree centrality, (b) betweenness centrality, (c) clustering coefficient and (d) average path length. Additionally, we explore the co-movements within the market, categorising cryptocurrencies into functional groups for a comparative analysis. This approach enables us to examine shifts in the cryptocurrency network topology, providing insights into how different groups of cryptocurrencies interact with and influence each other. Through this network analysis, we aim to shed light on the intricate interrelationships among cryptocurrencies. The findings of this study are intended to provide investors with valuable insights, potentially guiding the development of more informed and strategic diversification strategies in the dynamic and evolving landscape of the cryptocurrency market.JEL Codes: G11, G12, D85","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":"9 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-08DOI: 10.1177/02601079231214859
Susovon Jana, Ankita Nandi, T. N. Sahu
Cryptocurrency has recently emerged as a financial asset among policymakers, investors and academics as a new alternative asset in the financial landscape. This research intends to empirically evaluate the safe haven, diversification and hedging potentials of digital currencies against the Indian equity market during different time frames. Four cryptocurrencies (Bitcoin, Ethereum, Binance Coin and Ripple) and Nifty 50 index data have been collected on a daily basis, from 26 July 2017 to 31 August 2023, for this purpose. Using wavelet-based methods, the study has discovered higher volatility in Nifty 50 and cryptocurrency prices during the crisis and stronger co-movement between pairs of equities and cryptocurrencies. Furthermore, the study finds that, under normal economic conditions, cryptocurrency can hedge the Indian stock market over short-term, medium-term and long-term investment horizons. However, investing in cryptocurrencies in the Indian stock portfolio for the short term does not give any safe haven or diversification advantages during times of economic crisis. Finally, we anticipate that the findings of our study will provide valuable insights into the potential usage of cryptocurrencies in the Indian stock market, both in stable and turbulent economic conditions. JEL Codes: G01, G41, N2, P34
{"title":"Can Cryptocurrencies Provide Better Diversification Benefits? Evidence from the Indian Stock Market","authors":"Susovon Jana, Ankita Nandi, T. N. Sahu","doi":"10.1177/02601079231214859","DOIUrl":"https://doi.org/10.1177/02601079231214859","url":null,"abstract":"Cryptocurrency has recently emerged as a financial asset among policymakers, investors and academics as a new alternative asset in the financial landscape. This research intends to empirically evaluate the safe haven, diversification and hedging potentials of digital currencies against the Indian equity market during different time frames. Four cryptocurrencies (Bitcoin, Ethereum, Binance Coin and Ripple) and Nifty 50 index data have been collected on a daily basis, from 26 July 2017 to 31 August 2023, for this purpose. Using wavelet-based methods, the study has discovered higher volatility in Nifty 50 and cryptocurrency prices during the crisis and stronger co-movement between pairs of equities and cryptocurrencies. Furthermore, the study finds that, under normal economic conditions, cryptocurrency can hedge the Indian stock market over short-term, medium-term and long-term investment horizons. However, investing in cryptocurrencies in the Indian stock portfolio for the short term does not give any safe haven or diversification advantages during times of economic crisis. Finally, we anticipate that the findings of our study will provide valuable insights into the potential usage of cryptocurrencies in the Indian stock market, both in stable and turbulent economic conditions. JEL Codes: G01, G41, N2, P34","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":"33 2","pages":""},"PeriodicalIF":0.6,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139445246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-07DOI: 10.1177/02601079231179806
César Alexander Franco Moreno, Nuria Rodríguez-Priego, Federico Galán Valdivieso
People tend to believe that more information will improve the accuracy of predicting outcomes in highly uncertain situations. This behaviour, known as ‘illusion of knowledge,’ is related to overconfidence in multiple areas of study, and attracts scientific attention. The aim of this research is to determine the academic evolution of the illusion of knowledge within the financial field. For this purpose, two different methodologies have been used to generate a more solid contribution. The first part is based on the ReSiste-CSH bibliographic framework raised for the study of social sciences, and the second part uses the Bibliometrix software to measure the performance of the subject over time. The Web of Science academic database was used as a reference source for the period 1987–2021, resulting in a sample of 1,202 papers in highly impactful academic journals. The results show a positive evolution over time in the number of publications, as well as a geographical concentration in journals of the Q1 category from the United States and the United Kingdom, together with a close relationship with areas of study such as psychology, business and economics, among others. JEL Code: G41
人们倾向于相信，在高度不确定的情况下，更多的信息会提高预测结果的准确性。这种行为被称为“知识幻觉”，与在多个研究领域的过度自信有关，并引起了科学界的关注。本研究的目的是确定知识幻觉在金融领域的学术演变。为此目的，使用了两种不同的方法来产生更可靠的贡献。第一部分是基于为社会科学研究而提出的resist - csh书目框架，第二部分使用Bibliometrix软件来衡量学科的长期表现。Web of Science学术数据库被用作1987-2021年期间的参考来源，产生了1202篇发表在极具影响力的学术期刊上的论文样本。结果显示，随着时间的推移，出版物数量呈积极发展趋势，美国和英国Q1类期刊的地理分布集中，以及与心理学、商业和经济学等研究领域的密切关系。JEL代码:G41
{"title":"A Bibliographic Review of Illusion of Knowledge in the Financial Field","authors":"César Alexander Franco Moreno, Nuria Rodríguez-Priego, Federico Galán Valdivieso","doi":"10.1177/02601079231179806","DOIUrl":"https://doi.org/10.1177/02601079231179806","url":null,"abstract":"People tend to believe that more information will improve the accuracy of predicting outcomes in highly uncertain situations. This behaviour, known as ‘illusion of knowledge,’ is related to overconfidence in multiple areas of study, and attracts scientific attention. The aim of this research is to determine the academic evolution of the illusion of knowledge within the financial field. For this purpose, two different methodologies have been used to generate a more solid contribution. The first part is based on the ReSiste-CSH bibliographic framework raised for the study of social sciences, and the second part uses the Bibliometrix software to measure the performance of the subject over time. The Web of Science academic database was used as a reference source for the period 1987–2021, resulting in a sample of 1,202 papers in highly impactful academic journals. The results show a positive evolution over time in the number of publications, as well as a geographical concentration in journals of the Q1 category from the United States and the United Kingdom, together with a close relationship with areas of study such as psychology, business and economics, among others. JEL Code: G41","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":"64 2","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138590902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-14DOI: 10.1177/02601079231207489
Oleh Semenenko, Maryna Sliusarenko, Andrii Onofriichuk, Vitalii Onofriichuk, Artem Remez
At the moment, the first phase of the military confrontation between Russia and Ukraine, which began in February 2022, is reaching its logical end: A certain front line has already been established and the economic state in which the countries are is becoming clearer. That is why the evaluation and forecasting of the military, economic and demographic impact of the war on other countries become relevant. This work examines what losses Russia received due to its actions. In the article, the authors examine the issue of the impact of the war in Ukraine on the Russian economy, as well as a retrospective forecast of the impact of Russia’s military operations on its national economy. Attention is focused on military and demographic aspects, as well as on the results of the impact of various types of sanctions. The main method that was used in the work can be considered modelling; however, in addition to it, analysis, historical method, graphic and others were also used. The practical results of the analysis showed that the government of the Russian Federation announced the transition to a command mobilisation economy, and today its first consequences are already visible in the form of rising prices and devaluation of the national currency. In addition, it was shown that despite the large number of sanctions imposed on Russia, the country has not yet felt the full consequences. The issue of how the defence economy of the Russian Federation is developing, how the military budget of Russia has changed over the past 11 years, and how the war in Ukraine affected the demographic situation has been examined. In the section on the impact of the war on the economy of the Russian Federation, it is shown that modernised production and industries will suffer the most from such actions, which will lead to a powerful technological lag. The article brings new knowledge for understanding the current functioning of the Russian economy and in the near future, as well as for making assessments of the possible future course of the war. JEL: H56, N4, J11, R11
{"title":"Assessment and Forecasting of the Military, Economic and Demographic Impact of the Russian–Ukrainian War on the National Economy of Russia","authors":"Oleh Semenenko, Maryna Sliusarenko, Andrii Onofriichuk, Vitalii Onofriichuk, Artem Remez","doi":"10.1177/02601079231207489","DOIUrl":"https://doi.org/10.1177/02601079231207489","url":null,"abstract":"At the moment, the first phase of the military confrontation between Russia and Ukraine, which began in February 2022, is reaching its logical end: A certain front line has already been established and the economic state in which the countries are is becoming clearer. That is why the evaluation and forecasting of the military, economic and demographic impact of the war on other countries become relevant. This work examines what losses Russia received due to its actions. In the article, the authors examine the issue of the impact of the war in Ukraine on the Russian economy, as well as a retrospective forecast of the impact of Russia’s military operations on its national economy. Attention is focused on military and demographic aspects, as well as on the results of the impact of various types of sanctions. The main method that was used in the work can be considered modelling; however, in addition to it, analysis, historical method, graphic and others were also used. The practical results of the analysis showed that the government of the Russian Federation announced the transition to a command mobilisation economy, and today its first consequences are already visible in the form of rising prices and devaluation of the national currency. In addition, it was shown that despite the large number of sanctions imposed on Russia, the country has not yet felt the full consequences. The issue of how the defence economy of the Russian Federation is developing, how the military budget of Russia has changed over the past 11 years, and how the war in Ukraine affected the demographic situation has been examined. In the section on the impact of the war on the economy of the Russian Federation, it is shown that modernised production and industries will suffer the most from such actions, which will lead to a powerful technological lag. The article brings new knowledge for understanding the current functioning of the Russian economy and in the near future, as well as for making assessments of the possible future course of the war. JEL: H56, N4, J11, R11","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":"32 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134954286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-26DOI: 10.1177/02601079231200939
Imran Khan
The purpose of this paper is to empirically examine the role of remittance inflow in reducing poverty in the South Asian region. A time-series dataset of the South Asian region for the period 1980–2021 is being considered for this study, and the autoregressive distributed lags model has been applied to examine the short- and long-run relationship between remittance inflows along with control variables, including inflation, trade openness and economic growth on poverty reduction. The results indicated that remittances have a substantial effect on poverty in both the short and long run. While inflation appeared to be a barrier to poverty reduction in the long term. Lastly, trade openness was also found to negatively affect poverty in the long run. It is the first inference in the context of South Asia that has captured income-based poverty in the form of household consumption expenditure. The study suggests that economic policymakers should devise the policy in such a manner that remittance inflows can be used for investment rather than only for consumption. Furthermore, inflation should be kept under control in the long run, and trade policies should be designed in such a way that they provide leverage to small-scale entrepreneurs, thereby reducing poverty in the long run. JEL Codes: F24, F62, F63, P46
{"title":"An Impact Analysis of Remittance Inflows on Reducing Income-based Poverty in South Asia","authors":"Imran Khan","doi":"10.1177/02601079231200939","DOIUrl":"https://doi.org/10.1177/02601079231200939","url":null,"abstract":"The purpose of this paper is to empirically examine the role of remittance inflow in reducing poverty in the South Asian region. A time-series dataset of the South Asian region for the period 1980–2021 is being considered for this study, and the autoregressive distributed lags model has been applied to examine the short- and long-run relationship between remittance inflows along with control variables, including inflation, trade openness and economic growth on poverty reduction. The results indicated that remittances have a substantial effect on poverty in both the short and long run. While inflation appeared to be a barrier to poverty reduction in the long term. Lastly, trade openness was also found to negatively affect poverty in the long run. It is the first inference in the context of South Asia that has captured income-based poverty in the form of household consumption expenditure. The study suggests that economic policymakers should devise the policy in such a manner that remittance inflows can be used for investment rather than only for consumption. Furthermore, inflation should be kept under control in the long run, and trade policies should be designed in such a way that they provide leverage to small-scale entrepreneurs, thereby reducing poverty in the long run. JEL Codes: F24, F62, F63, P46","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":"58 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134906450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-14DOI: 10.1177/02601079231162467
Kazeem B. Ajide, Juliet U. Elu, Gregory N. Price
This study considers the effects of female genital circumcision (FGC) on household income inequality in Nigeria. To the extent that FGC has adverse health consequences, it can lower female labour productivity and earnings relative to males. Theoretically, we motivate our inquiry within a simple game-theoretic household norm bargaining framework in which there are several possible equilibria based on the decisions of representative males to require FGC, and representative females accepting, or not. We link regional data on Nigeria from the Afrobarometer survey to existing regional FGC surveillance data in Nigeria to estimate with Ordinal Logit specifications, the effect of regional FGC rates on a household’s position in the income distribution. Our parameter estimates reveal that as the ratio of daughter to mother genital circumcision increases in a region, the odds of a household being in the lower income decile increases. The FGC effects are consistent with a political economy of gender bargaining about FGC choices in which males have more bargaining power in governing/managing the household relative to females. Our results suggest that any policy intervention that eradicates FGC, including interventions that affect a political economy of bargaining that at least equalises bargaining power between males and females, could reduce household income inequality in Sub-Saharan Africa. JEL: I14, I18, J16, O5, Z13
{"title":"Is Female Genital Circumcision a Driver of Income Inequality in Sub-Saharan Africa? Evidence from Nigeria","authors":"Kazeem B. Ajide, Juliet U. Elu, Gregory N. Price","doi":"10.1177/02601079231162467","DOIUrl":"https://doi.org/10.1177/02601079231162467","url":null,"abstract":"This study considers the effects of female genital circumcision (FGC) on household income inequality in Nigeria. To the extent that FGC has adverse health consequences, it can lower female labour productivity and earnings relative to males. Theoretically, we motivate our inquiry within a simple game-theoretic household norm bargaining framework in which there are several possible equilibria based on the decisions of representative males to require FGC, and representative females accepting, or not. We link regional data on Nigeria from the Afrobarometer survey to existing regional FGC surveillance data in Nigeria to estimate with Ordinal Logit specifications, the effect of regional FGC rates on a household’s position in the income distribution. Our parameter estimates reveal that as the ratio of daughter to mother genital circumcision increases in a region, the odds of a household being in the lower income decile increases. The FGC effects are consistent with a political economy of gender bargaining about FGC choices in which males have more bargaining power in governing/managing the household relative to females. Our results suggest that any policy intervention that eradicates FGC, including interventions that affect a political economy of bargaining that at least equalises bargaining power between males and females, could reduce household income inequality in Sub-Saharan Africa. JEL: I14, I18, J16, O5, Z13","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135804231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-28DOI: 10.1177/02601079231168750
Eric Hogue
Using a comprehensive data set of hand-collected observations of top touring performing artists, I examine the complementary relationship between recorded music and concert financial outcomes. I find that music streaming derives substantive financial benefit to the top 100 touring artists as a means to promote their live performances. Using empirical estimates from a panel model with artist fixed effects, an artist can derive an incremental $46K to $49K per show when achieving a 20% increase in music streaming. Additionally, using a 2SLS model with artist fixed effects to account for potential endogenous promotional effects, I identify top performers (or ‘superstars’) who derive significant additional concert revenue because of their back catalogue of hit songs. These top performers earn an incremental $15K per show for every week they have a song from their catalogue in the Billboard Top 20. These findings indicate that artists can use their legacy to build lifelong earnings from their music and performances. JEL Classifications: D12, D22, L82, Z10
{"title":"Promotional Effects of Recorded Music and Superstars on Concert Financial Outcomes","authors":"Eric Hogue","doi":"10.1177/02601079231168750","DOIUrl":"https://doi.org/10.1177/02601079231168750","url":null,"abstract":"Using a comprehensive data set of hand-collected observations of top touring performing artists, I examine the complementary relationship between recorded music and concert financial outcomes. I find that music streaming derives substantive financial benefit to the top 100 touring artists as a means to promote their live performances. Using empirical estimates from a panel model with artist fixed effects, an artist can derive an incremental $46K to $49K per show when achieving a 20% increase in music streaming. Additionally, using a 2SLS model with artist fixed effects to account for potential endogenous promotional effects, I identify top performers (or ‘superstars’) who derive significant additional concert revenue because of their back catalogue of hit songs. These top performers earn an incremental $15K per show for every week they have a song from their catalogue in the Billboard Top 20. These findings indicate that artists can use their legacy to build lifelong earnings from their music and performances. JEL Classifications: D12, D22, L82, Z10","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.1177/02601079231179372
Valentina Erasmo
This article extends the capabilities conception of individuals developed by Davis, understanding capabilities as relationships. I first introduced the main concepts that are useful for this extension, namely those of agency and capabilities. Then, I showed that agency refers to a rational and responsible exercise of capabilities through Ricoeurs analysis of Sens earlier works. I successively developed the concept of capabilities as relationships through the distinction between intrapersonal and interpersonal relationships: in this framework, self-scrutiny and relationality, respectively, become the leading capabilities of these two relationships. From this extension of the capabilities conception of the individual, two concepts arise with a certain strength, namely those of responsibility and relationality. This extension of the capabilities conception of the individual in economics also in terms of interpersonal relationships emphasises that this social conception of the individual is characterised by relationality. Thanks to responsibility and relationality, the capabilities conception of the individual might be applied in fields such as contemporary civil economy and ecological economics. JEL Classifications: B31, B410, B59, Z13
{"title":"Extending the Capabilities Conception of the Individual in Economics: Relationality and Responsibility","authors":"Valentina Erasmo","doi":"10.1177/02601079231179372","DOIUrl":"https://doi.org/10.1177/02601079231179372","url":null,"abstract":"This article extends the capabilities conception of individuals developed by Davis, understanding capabilities as relationships. I first introduced the main concepts that are useful for this extension, namely those of agency and capabilities. Then, I showed that agency refers to a rational and responsible exercise of capabilities through Ricoeurs analysis of Sens earlier works. I successively developed the concept of capabilities as relationships through the distinction between intrapersonal and interpersonal relationships: in this framework, self-scrutiny and relationality, respectively, become the leading capabilities of these two relationships. From this extension of the capabilities conception of the individual, two concepts arise with a certain strength, namely those of responsibility and relationality. This extension of the capabilities conception of the individual in economics also in terms of interpersonal relationships emphasises that this social conception of the individual is characterised by relationality. Thanks to responsibility and relationality, the capabilities conception of the individual might be applied in fields such as contemporary civil economy and ecological economics. JEL Classifications: B31, B410, B59, Z13","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46089119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-29DOI: 10.1177/02601079231176390
Nawazuddin Ahmed, D. K. Nauriyal
This article examines intergenerational structural and exchange occupational mobility in India. Using data from India’s multiple National Sample Surveys’ employment and Periodic Labour Force Survey rounds, the study investigates co-resident father-son relationships from 1993–1994 to 2017–2018. It employs a log-linear model with a quasi-symmetry fit—also called an SHD model—to estimate the structural and exchange components of occupational mobility. This work reveals that intergenerational mobility owes considerably to economic structural shifts and that exchange mobility for the larger study period from 1993–1994 to 2011–2012 remains low. However, it also suggests that there has been an increase in exchange occupational mobility in recent survey year (2017–2018). JEL Classification: J62, J24
{"title":"Structural and Exchange Occupational Mobility in India, 1994–2018: A Log-Linear Model- Based Analysis","authors":"Nawazuddin Ahmed, D. K. Nauriyal","doi":"10.1177/02601079231176390","DOIUrl":"https://doi.org/10.1177/02601079231176390","url":null,"abstract":"This article examines intergenerational structural and exchange occupational mobility in India. Using data from India’s multiple National Sample Surveys’ employment and Periodic Labour Force Survey rounds, the study investigates co-resident father-son relationships from 1993–1994 to 2017–2018. It employs a log-linear model with a quasi-symmetry fit—also called an SHD model—to estimate the structural and exchange components of occupational mobility. This work reveals that intergenerational mobility owes considerably to economic structural shifts and that exchange mobility for the larger study period from 1993–1994 to 2011–2012 remains low. However, it also suggests that there has been an increase in exchange occupational mobility in recent survey year (2017–2018). JEL Classification: J62, J24","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42028942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-15DOI: 10.1177/02601079231178157
Yasushi Nakamura
East Germany was deficient in the human resources to establish a new state machinery that was equal to that of West Germany. The solution was transferring knowledge and know-hows from West to East Germany through dispatching West German personnel, retraining and building informal personal networks. East Germany could establish the new state machinery quickly, although copying West Germany left little room to build a better state machinery, and the sudden change might undermine East German personnel’s efforts to increase their capacities. The German experience suggests that the other ex-socialist countries that could not expect a fast and extensive transfer of knowledge and know-how would need a long period measured by the unit of decade or generation to establish the new state machinery. Those countries needed a commonly understood goal of systemic transformation and public support for it over a long period. JEL: H10, N44, O15, P20, P37
{"title":"State Machinery Building and Economic Transition: Lessons from the German Unification","authors":"Yasushi Nakamura","doi":"10.1177/02601079231178157","DOIUrl":"https://doi.org/10.1177/02601079231178157","url":null,"abstract":"East Germany was deficient in the human resources to establish a new state machinery that was equal to that of West Germany. The solution was transferring knowledge and know-hows from West to East Germany through dispatching West German personnel, retraining and building informal personal networks. East Germany could establish the new state machinery quickly, although copying West Germany left little room to build a better state machinery, and the sudden change might undermine East German personnel’s efforts to increase their capacities. The German experience suggests that the other ex-socialist countries that could not expect a fast and extensive transfer of knowledge and know-how would need a long period measured by the unit of decade or generation to establish the new state machinery. Those countries needed a commonly understood goal of systemic transformation and public support for it over a long period. JEL: H10, N44, O15, P20, P37","PeriodicalId":42664,"journal":{"name":"Journal of Interdisciplinary Economics","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45384631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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