Pub Date : 2022-11-24DOI: 10.52950/es.2022.11.2.007
A. Mohammadi, Mehrzad Minnoei, Zadollah Fathi, Mohamamd Ali Keramati, Hossein Baktiari
The main concern of all economic companies is the resources equipping and allocating them in different economic sectors with the aim of maximizing profit and minimizing risk. Decentralization is one of the important factors that reduce investment risk. The investors plan to create investment by carefully planning and collecting sufficient information on the economic situation and analyzing the situation of various industries. As an economic enterprise, banks are looking for short- and long-term investments in a types of loans ,such as bailment of a capital , civil participation, reward, etc, which guarantees the return of their capital. In this paper, considering the condition of a bank as an economic enterprise, a model is presented which not only increases profit but also reduces risk. Two objective functions have been defined that the first objective is to minimize the risk and the second objective function is to maximize the of the bank profit, which is used by robust programming and Malvi Sim model. In this paper, we have investigated the Risky and non-Risky Partfolio and the optimal portfolio of bank assets from scenario based solution of the model and by using PSO and Genetic Optimization Algorithm. At all levels of confidence and optimal values of risk based on the estimation of SPP-CVAR method by Particle Swarm Algorithm (PSA) is less than genetic algorithm, which indicates better performance of Particle Swarm Algorithm (PSA) than Genetic Algorithm (GA). Also, the optimum wealth obtained from PSA solution is higher at all levels of confidence than the corresponding value of Genetic Algorithm (GA), and this is another reason to confirm the performance of PSO algorithm compared to the Genetic Algorithm (GA). The values of the first goal function, obtained from the PSO algorithm, for all confidence levels are lower than those of the genetic algorithm. The optimum wealth obtained from PSA is higher than genetic algorithm. At 0.9 level, the value of LR of kupiec statistics for the SPP-CVAR method was less than the Chi-square statistics (Critical value) which was assumed to be acceptable.
{"title":"Optimal allocation of bank resources and risk reduction through portfolio decentralization","authors":"A. Mohammadi, Mehrzad Minnoei, Zadollah Fathi, Mohamamd Ali Keramati, Hossein Baktiari","doi":"10.52950/es.2022.11.2.007","DOIUrl":"https://doi.org/10.52950/es.2022.11.2.007","url":null,"abstract":"The main concern of all economic companies is the resources equipping and allocating them in different economic sectors with the aim of maximizing profit and minimizing risk. Decentralization is one of the important factors that reduce investment risk. The investors plan to create investment by carefully planning and collecting sufficient information on the economic situation and analyzing the situation of various industries. As an economic enterprise, banks are looking for short- and long-term investments in a types of loans ,such as bailment of a capital , civil participation, reward, etc, which guarantees the return of their capital. In this paper, considering the condition of a bank as an economic enterprise, a model is presented which not only increases profit but also reduces risk. Two objective functions have been defined that the first objective is to minimize the risk and the second objective function is to maximize the of the bank profit, which is used by robust programming and Malvi Sim model. In this paper, we have investigated the Risky and non-Risky Partfolio and the optimal portfolio of bank assets from scenario based solution of the model and by using PSO and Genetic Optimization Algorithm. At all levels of confidence and optimal values of risk based on the estimation of SPP-CVAR method by Particle Swarm Algorithm (PSA) is less than genetic algorithm, which indicates better performance of Particle Swarm Algorithm (PSA) than Genetic Algorithm (GA). Also, the optimum wealth obtained from PSA solution is higher at all levels of confidence than the corresponding value of Genetic Algorithm (GA), and this is another reason to confirm the performance of PSO algorithm compared to the Genetic Algorithm (GA). The values of the first goal function, obtained from the PSO algorithm, for all confidence levels are lower than those of the genetic algorithm. The optimum wealth obtained from PSA is higher than genetic algorithm. At 0.9 level, the value of LR of kupiec statistics for the SPP-CVAR method was less than the Chi-square statistics (Critical value) which was assumed to be acceptable.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43016955","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 : 2022-11-24DOI: 10.52950/es.2022.11.2.010
M. Sabra
This article aims to detect empirically, the nexus dynamic interrelationships between health expenditure, totally and disaggregated, economic growth, fertility rate, life expectancy and CO2 emissions in six middle-income MENA countries, namely, (Algeria, Egypt, Jordan, Lebanon, Morocco, and Tunisia), during 2000 to 2019. We employ an advanced econometric technique, Dynamic Panel Data system analysis, which allows estimating time rarely variant variables. Article results show a significant and robust positive association between health expenditure and economic growth, in one hand, and negative associations between economic growth and all which of, fertility rate, life expectancy and CO2 emissions, on the other hand. Moreover, a negative nexus between fertility rate and life expectancy has been detected. Public, private and external health expenditure affect economic growth positively and significantly, meanwhile affect fertility rate negatively, except health public expenditure, which seems to encourage fertility rate. This indicates that disaggregated health expenditure matters for examination. Furthermore, negative impact of CO2 emissions on growth and life expectancy can crowd out health expenditure positive impacts on both growth and life expectancy. A series of recommendations have been introduced such as increasing health share in public spending, and for more effective government health expenditure and control pollution and CO2 emissions. Furthermore, health spending, policies and system has to function as well to mitigate impacts of high fertility, in marginalized, rural and fungible population and areas. This article shines a light on the notable issues in the area, whereas high fertility rate, limited government health expenditure, high employment and low awareness for pollution and environment degradation.
{"title":"Health expenditure, life expectancy, fertility rate, CO2 emissions and economic growth Do public, private and external health expenditure matter","authors":"M. Sabra","doi":"10.52950/es.2022.11.2.010","DOIUrl":"https://doi.org/10.52950/es.2022.11.2.010","url":null,"abstract":"This article aims to detect empirically, the nexus dynamic interrelationships between health expenditure, totally and disaggregated, economic growth, fertility rate, life expectancy and CO2 emissions in six middle-income MENA countries, namely, (Algeria, Egypt, Jordan, Lebanon, Morocco, and Tunisia), during 2000 to 2019. We employ an advanced econometric technique, Dynamic Panel Data system analysis, which allows estimating time rarely variant variables. Article results show a significant and robust positive association between health expenditure and economic growth, in one hand, and negative associations between economic growth and all which of, fertility rate, life expectancy and CO2 emissions, on the other hand. Moreover, a negative nexus between fertility rate and life expectancy has been detected. Public, private and external health expenditure affect economic growth positively and significantly, meanwhile affect fertility rate negatively, except health public expenditure, which seems to encourage fertility rate. This indicates that disaggregated health expenditure matters for examination. Furthermore, negative impact of CO2 emissions on growth and life expectancy can crowd out health expenditure positive impacts on both growth and life expectancy. A series of recommendations have been introduced such as increasing health share in public spending, and for more effective government health expenditure and control pollution and CO2 emissions. Furthermore, health spending, policies and system has to function as well to mitigate impacts of high fertility, in marginalized, rural and fungible population and areas. This article shines a light on the notable issues in the area, whereas high fertility rate, limited government health expenditure, high employment and low awareness for pollution and environment degradation.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42986938","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}
Dr Muhammad Ramzan Sheikh, Hadees Akhtar, I. Hussain
This study examines the association of living areas (slum and non-slum) with the selected public health-related variables in the presence of socioeconomic variables among married women and also having a child. A total of 150 women aged 18 to 49 are selected of which 50 women from slums and 100 women are from non-slum areas of Multan by applying the cluster and random sampling techniques. The cross-tabulation method is used to find the results. The dependent variable is Body Mass Index (BMI) and it is analyzed with the socio-economic variables such as mass media index, household characteristics and education. The findings exhibit that the BMI of the women living in the slum areas is low due to a low level of education, lack of mass media access, bad household structures, and poor or ignorant area. The women of the slum area have fewer mass media access, poor status of household characteristics and less education as compared to the women living in the non-slum areas. BMI is significantly affected by area, women's education and household characteristics except for physical work, job status, mass media access and husband education. The findings of this study suggest that to provide health facilities or to reduce the gap in public health, education, mass media access and households characteristics might be considered while making any decision related to the slum and non-slum areas.
{"title":"Socio-Economic Factors of Differences in Public Health-Related Variables among Women: A Cross-Sectional Study","authors":"Dr Muhammad Ramzan Sheikh, Hadees Akhtar, I. Hussain","doi":"10.55603/jes.v1i1.a1","DOIUrl":"https://doi.org/10.55603/jes.v1i1.a1","url":null,"abstract":"This study examines the association of living areas (slum and non-slum) with the selected public health-related variables in the presence of socioeconomic variables among married women and also having a child. A total of 150 women aged 18 to 49 are selected of which 50 women from slums and 100 women are from non-slum areas of Multan by applying the cluster and random sampling techniques. The cross-tabulation method is used to find the results. The dependent variable is Body Mass Index (BMI) and it is analyzed with the socio-economic variables such as mass media index, household characteristics and education. The findings exhibit that the BMI of the women living in the slum areas is low due to a low level of education, lack of mass media access, bad household structures, and poor or ignorant area. The women of the slum area have fewer mass media access, poor status of household characteristics and less education as compared to the women living in the non-slum areas. BMI is significantly affected by area, women's education and household characteristics except for physical work, job status, mass media access and husband education. The findings of this study suggest that to provide health facilities or to reduce the gap in public health, education, mass media access and households characteristics might be considered while making any decision related to the slum and non-slum areas.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87323139","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}
The current study is an attempt to analyze the association between macroeconomic instability and terrorism in Pakistan over the period of 1970 to 2020. Six important variables are taken as a proxy to measure macroeconomic instability which includes external debt, budget deficit, trade deficit, real effective exchange rate (REER), inflation and unemployment. Results indicate that there exists a long run cointegration relationship between the indictors of macroeconomic instability and terrorism. FMOLS is employed to obtain the estimates and it reveals that budget deficit and external debt is negatively associated with terrorism. It indicates that government expenditures on different project such as infrastructure create economic opportunities, therefore, reduces terrorism. Furthermore, welfare programmes also improve the performance of socioeconomic variables that translates into harmonized environment which lessens violence. The variable of trade deficit, inflation and unemployment has positive impact on terrorism while REER is insignificant. In context of trade deficit, higher imports results in job loss of domestic industries, hence, it hits the vulnerable groups. Therefore, the opportunity cost of life of these groups reduces and it increases the probability to become a part of terrorist activities. Inflation also pushes the vulnerable groups in poverty by reduces the purchasing power and unemployed individuals are also easy target to get involve themselves in acts of aggression. This study also constructs the macroeconomic instability index including the six variables through principal component analysis (PCA). Results of this model show that macroeconomic instability index and GDP has positive effect on terrorism. In case of GDP, the plausible reason could be uneven income distribution that increases terrorist activities. For the policy implications, government need to divert the resources from non-productive to productive uses through the investment in such projects which has direct and indirect impact on the welfare. In this way deprived group will enjoy economic perks and engage themselves in productive activities rather than becoming a helping hand in terrorism.
{"title":"Macroeconomic Instability and Terrorism Nexus; Empirical Evidence in Case of Pakistan","authors":"Hafsa Jabeen, Ayesha Naz","doi":"10.55603/jes.v1i1.a6","DOIUrl":"https://doi.org/10.55603/jes.v1i1.a6","url":null,"abstract":"The current study is an attempt to analyze the association between macroeconomic instability and terrorism in Pakistan over the period of 1970 to 2020. Six important variables are taken as a proxy to measure macroeconomic instability which includes external debt, budget deficit, trade deficit, real effective exchange rate (REER), inflation and unemployment. Results indicate that there exists a long run cointegration relationship between the indictors of macroeconomic instability and terrorism. FMOLS is employed to obtain the estimates and it reveals that budget deficit and external debt is negatively associated with terrorism. It indicates that government expenditures on different project such as infrastructure create economic opportunities, therefore, reduces terrorism. Furthermore, welfare programmes also improve the performance of socioeconomic variables that translates into harmonized environment which lessens violence. The variable of trade deficit, inflation and unemployment has positive impact on terrorism while REER is insignificant. In context of trade deficit, higher imports results in job loss of domestic industries, hence, it hits the vulnerable groups. Therefore, the opportunity cost of life of these groups reduces and it increases the probability to become a part of terrorist activities. Inflation also pushes the vulnerable groups in poverty by reduces the purchasing power and unemployed individuals are also easy target to get involve themselves in acts of aggression. This study also constructs the macroeconomic instability index including the six variables through principal component analysis (PCA). Results of this model show that macroeconomic instability index and GDP has positive effect on terrorism. In case of GDP, the plausible reason could be uneven income distribution that increases terrorist activities. For the policy implications, government need to divert the resources from non-productive to productive uses through the investment in such projects which has direct and indirect impact on the welfare. In this way deprived group will enjoy economic perks and engage themselves in productive activities rather than becoming a helping hand in terrorism.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77243388","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}
The following research examines economic growth potential from the perspective of globalization for Pakistan. The empirical results are estimated using the ARDL model over the period 1970 to 2018. The study reports the time before and after the openness to the world. The country opened up its borders quite late in the 80s. The results demonstrate that, in the short term, globalization negatively affects economic growth, but that, in the long run, it boosts economic growth. Globalization has assisted Pakistan's economic progress since the country opened its borders and economy to the rest of the world, but not to too much extent, what it could. Furthermore, research findings demonstrate that government spending and physical capital improve economic growth, however, inflation has a detrimental impact on Pakistan's economic growth.
{"title":"An Analysis of Global Integration and Economic Growth Nexus: Evidence from Pakistan","authors":"A. Abbasi, Zubia Hussain, Muhammad Tariq Majeed","doi":"10.55603/jes.v1i1.a4","DOIUrl":"https://doi.org/10.55603/jes.v1i1.a4","url":null,"abstract":"The following research examines economic growth potential from the perspective of globalization for Pakistan. The empirical results are estimated using the ARDL model over the period 1970 to 2018. The study reports the time before and after the openness to the world. The country opened up its borders quite late in the 80s. The results demonstrate that, in the short term, globalization negatively affects economic growth, but that, in the long run, it boosts economic growth. Globalization has assisted Pakistan's economic progress since the country opened its borders and economy to the rest of the world, but not to too much extent, what it could. Furthermore, research findings demonstrate that government spending and physical capital improve economic growth, however, inflation has a detrimental impact on Pakistan's economic growth.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90756337","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}
The travel and tours enterprise were badly affected due to pandemics. In the aftermath of high restrictions on human movement, travel-based entrepreneurs were highly impacted due to lockdown. Due to pandemic, highly impacted into earning-saving, lack of supportive working conditions, lower self-capacity, and lack of recovery budget and policies, the travel and tours-based entrepreneurs were highly impacted. The study reflected the impact of pandemics on travel and tours, major constraints, and a possible way forward to sustaining. The research explores what are the major existing practices of sustaining travel and tours entrepreneurs during pandemics, what factors can contribute to building bounce-back capacities of travel and tours entrepreneurs’ sustainability. Above forty-four, snowball-based sampling was done from major travel and tours entrepreneurs, Pokhara-Nepal. A structure-based open-ended questionnaire, key informant interviews, and in-person-based discussion were applied in the method of study. Used the content analysis along with a recap of the research question, undertake bracketing to identify biases, operationalize variables with develop a coding, and code the data with undertaking analysis while qualitative analysis, and multiple regression facilitated on quantitative analysis to finalize the discussion. The study reflects that self-saving, social support, state and financial institutions recovery support, social behavior and change communication, full vaccination practices, and self-accountable tourist behavior are highly expectable conditions to the sustainability of travel and torus entrepreneurship in the learning area. The study concludes that self-saving capacity can contribute to bounce-back capacity for every entrepreneur. Social support and socioeconomic recovery packages were also contributing to sustaining travel and tours in the study area. Self-saving condition and capacity is higher bounce back capacity compared to non-saved entrepreneurs in the study area. Social support, socioeconomic recovery practices, and recovery packages from state and financial institutions were not at the higher level as expected.
{"title":"Pandemic Impact on the Travels and Tourism Sector of Nepal","authors":"Chongbang Nirmal","doi":"10.55603/jes.v1i1.a5","DOIUrl":"https://doi.org/10.55603/jes.v1i1.a5","url":null,"abstract":"The travel and tours enterprise were badly affected due to pandemics. In the aftermath of high restrictions on human movement, travel-based entrepreneurs were highly impacted due to lockdown. Due to pandemic, highly impacted into earning-saving, lack of supportive working conditions, lower self-capacity, and lack of recovery budget and policies, the travel and tours-based entrepreneurs were highly impacted. The study reflected the impact of pandemics on travel and tours, major constraints, and a possible way forward to sustaining. The research explores what are the major existing practices of sustaining travel and tours entrepreneurs during pandemics, what factors can contribute to building bounce-back capacities of travel and tours entrepreneurs’ sustainability. Above forty-four, snowball-based sampling was done from major travel and tours entrepreneurs, Pokhara-Nepal. A structure-based open-ended questionnaire, key informant interviews, and in-person-based discussion were applied in the method of study. Used the content analysis along with a recap of the research question, undertake bracketing to identify biases, operationalize variables with develop a coding, and code the data with undertaking analysis while qualitative analysis, and multiple regression facilitated on quantitative analysis to finalize the discussion. The study reflects that self-saving, social support, state and financial institutions recovery support, social behavior and change communication, full vaccination practices, and self-accountable tourist behavior are highly expectable conditions to the sustainability of travel and torus entrepreneurship in the learning area. The study concludes that self-saving capacity can contribute to bounce-back capacity for every entrepreneur. Social support and socioeconomic recovery packages were also contributing to sustaining travel and tours in the study area. Self-saving condition and capacity is higher bounce back capacity compared to non-saved entrepreneurs in the study area. Social support, socioeconomic recovery practices, and recovery packages from state and financial institutions were not at the higher level as expected.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73116086","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}
Muhammad Fahad Khan, Muhammad Imran Khan, Kamran Abbas Naqvi
The trade economy is dependent upon the institutional quality of the country. It affects the ease of doing business in the economy. It is plausible to think that, how institutional quality can affect the trading performance of Pakistan. Small & medium enterprises (SMEs) are playing the role of the backbone of the trade sector in Pakistan. Contribution SMEs can be significantly improved, by improving the supporting macroeconomic indicators. This paper studies the short-run and the long-run association between SME trade growth and cost of production, relative prices, and Institutional quality in Pakistan. It also examines the Environmental Kuznets curve (EKC) hypothesis, between SME trade growth and institutional quality in Pakistan. This study utilizes secondary data, which is taken from multiple secondary sources, including the SMEDA, Pakistan Economic Survey, and world development indicators. The biannual data is assembled up for 38 observations from (2000 to 2019). This study uses Auto Regressive Distributive Lag (ARDL) bound testing method to examine the short run and long run connections between SMEs’ trade growth and macro-economic variables, like; relative prices, Cost of production. Gross Domestic Product, exchange rate, and institutional quality. These variables are selected from the available literature. The study finds that the short-run response of SMEs trade is not significant, but it significantly responds to macro-economic indicators in long run. The institutional quality has a non-linear relationship with SMEs trade growth. This indicates that the pollution heaven hypothesis holds valid even for the case of institutional quality and SMEs trading performance. The study focuses on the optimality of institutional quality for the optimal performance level of SMEs in Pakistan.
{"title":"Impact of Institutional Quality on Trade Performance of Small and Medium Enterprises in Pakistan","authors":"Muhammad Fahad Khan, Muhammad Imran Khan, Kamran Abbas Naqvi","doi":"10.55603/jes.v1i1.a3","DOIUrl":"https://doi.org/10.55603/jes.v1i1.a3","url":null,"abstract":"The trade economy is dependent upon the institutional quality of the country. It affects the ease of doing business in the economy. It is plausible to think that, how institutional quality can affect the trading performance of Pakistan. Small & medium enterprises (SMEs) are playing the role of the backbone of the trade sector in Pakistan. Contribution SMEs can be significantly improved, by improving the supporting macroeconomic indicators. This paper studies the short-run and the long-run association between SME trade growth and cost of production, relative prices, and Institutional quality in Pakistan. It also examines the Environmental Kuznets curve (EKC) hypothesis, between SME trade growth and institutional quality in Pakistan. This study utilizes secondary data, which is taken from multiple secondary sources, including the SMEDA, Pakistan Economic Survey, and world development indicators. The biannual data is assembled up for 38 observations from (2000 to 2019). This study uses Auto Regressive Distributive Lag (ARDL) bound testing method to examine the short run and long run connections between SMEs’ trade growth and macro-economic variables, like; relative prices, Cost of production. Gross Domestic Product, exchange rate, and institutional quality. These variables are selected from the available literature. The study finds that the short-run response of SMEs trade is not significant, but it significantly responds to macro-economic indicators in long run. The institutional quality has a non-linear relationship with SMEs trade growth. This indicates that the pollution heaven hypothesis holds valid even for the case of institutional quality and SMEs trading performance. The study focuses on the optimality of institutional quality for the optimal performance level of SMEs in Pakistan.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86473294","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}
Reproduction is an important aspect of a women's life, unfortunately in Pakistan fertility rates are quite high in comparison to other developing countries as well as in comparison to the other South Asian countries. Different studies have suggested that women empowerment can help reduce fertility rates. The present study has attempted to analyze the role of women empowerment along with other socioeconomic indicators on three different dimensions of the fertility behavior i.e. number of children born (current fertility status), ideal number of children and birth intervals (future fertility status. Data of Demographic and Health Survey (PDHS) 2012-13 has been used. The analysis consists of two levels, at level one a descriptive analysis is carried out. As three different aspects of fertility are the count data. Therefore at the next stage models will be estimated by using poison regression technique and Incidence Rate Ratios (IRR) are reported. It has been found that women’s being empowered in financial matters, seeking health care and in household decision making are helpful in reducing fertility. Furthermore, participation in job by women, living in urban areas, having secondary or higher education, access to awareness created by the media, married at higher age are also significant factors in reducing fertility. However, women facing incidence of miscarriage or death of a child tends to increase the fertility. Study had found that wealth of the household, education of husband and having sons have very limited role on the fertility behavior.
{"title":"Impact of Women Empowerment on Fertility Preferences in Pakistan","authors":"Naeem Akram","doi":"10.55603/jes.v1i1.a2","DOIUrl":"https://doi.org/10.55603/jes.v1i1.a2","url":null,"abstract":"Reproduction is an important aspect of a women's life, unfortunately in Pakistan fertility rates are quite high in comparison to other developing countries as well as in comparison to the other South Asian countries. Different studies have suggested that women empowerment can help reduce fertility rates. The present study has attempted to analyze the role of women empowerment along with other socioeconomic indicators on three different dimensions of the fertility behavior i.e. number of children born (current fertility status), ideal number of children and birth intervals (future fertility status. Data of Demographic and Health Survey (PDHS) 2012-13 has been used. The analysis consists of two levels, at level one a descriptive analysis is carried out. As three different aspects of fertility are the count data. Therefore at the next stage models will be estimated by using poison regression technique and Incidence Rate Ratios (IRR) are reported. It has been found that women’s being empowered in financial matters, seeking health care and in household decision making are helpful in reducing fertility. Furthermore, participation in job by women, living in urban areas, having secondary or higher education, access to awareness created by the media, married at higher age are also significant factors in reducing fertility. However, women facing incidence of miscarriage or death of a child tends to increase the fertility. Study had found that wealth of the household, education of husband and having sons have very limited role on the fertility behavior.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78171048","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 : 2021-12-20DOI: 10.52950/es.2021.10.2.008
Jiří Rotschedl
The paper focuses on the topic of intertemporal discounting of individuals according to age groups. Using the sample of examined individuals, it aims to verify the hypothesis that the patience of individuals decreases with their increasing age. The study included a total of 599 individuals with an average age of 38.3 years (min. 16 and max. 82 years) who answered classical questions focused on time discounting and impulsive behaviour. In total, four possible scenarios were analysed: a small reward (CZK 100) with a delay of 1 day, a small reward with a delay of 1 month, a large reward (CZK 100,000) with a delay of 1 day and a large reward with a delay of 1 month. The delayed reward was always increased by 10% (i.e., CZK 110 or CZK 110,000). The basic hypothesis was that with increasing age, the subjective discount rate increases i.e., patience decreases. The above-mentioned 4 scenarios were evaluated for the hypotheses, while only three of the four scenarios were confirmed for all hypotheses. The results in the examined individuals suggest that with increasing age, there is a decrease in patience and at the same time a decrease in impulsive behaviour. These findings may have an overlap in consumption or savings in relation to the aging population.
{"title":"Study of Intertemporal Discounting According to Age Groups","authors":"Jiří Rotschedl","doi":"10.52950/es.2021.10.2.008","DOIUrl":"https://doi.org/10.52950/es.2021.10.2.008","url":null,"abstract":"The paper focuses on the topic of intertemporal discounting of individuals according to age groups. Using the sample of examined individuals, it aims to verify the hypothesis that the patience of individuals decreases with their increasing age. The study included a total of 599 individuals with an average age of 38.3 years (min. 16 and max. 82 years) who answered classical questions focused on time discounting and impulsive behaviour. In total, four possible scenarios were analysed: a small reward (CZK 100) with a delay of 1 day, a small reward with a delay of 1 month, a large reward (CZK 100,000) with a delay of 1 day and a large reward with a delay of 1 month. The delayed reward was always increased by 10% (i.e., CZK 110 or CZK 110,000). The basic hypothesis was that with increasing age, the subjective discount rate increases i.e., patience decreases. The above-mentioned 4 scenarios were evaluated for the hypotheses, while only three of the four scenarios were confirmed for all hypotheses. The results in the examined individuals suggest that with increasing age, there is a decrease in patience and at the same time a decrease in impulsive behaviour. These findings may have an overlap in consumption or savings in relation to the aging population.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43545127","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 : 2021-12-20DOI: 10.52950/es.2021.10.2.001
Ondřej Bednář
I have employed the Bayesian Structural Time Series model to assess the recent interest rate hike by the Czech Central Bank and its causal impact on the Koruna exchange rate. By forecasting exchange rate time series in the absence of the intervention we can subtract the observed values from the prediction and estimate the causal effect. The results show that the impact was little and time limited in one model specification and none in the second version. It implies that the Czech Central Bank possesses the ability to diverge significantly from the Eurozone benchmark interest rate at least in the short term. It also shows that the interest rate hike will not be able to curb global inflation forces on the domestic price level.
{"title":"The Causal Impact of the Rapid Czech Interest Rate Hike on the Czech Exchange Rate Assessed by the Bayesian Structural Time Series Model","authors":"Ondřej Bednář","doi":"10.52950/es.2021.10.2.001","DOIUrl":"https://doi.org/10.52950/es.2021.10.2.001","url":null,"abstract":"I have employed the Bayesian Structural Time Series model to assess the recent interest rate hike by the Czech Central Bank and its causal impact on the Koruna exchange rate. By forecasting exchange rate time series in the absence of the intervention we can subtract the observed values from the prediction and estimate the causal effect. The results show that the impact was little and time limited in one model specification and none in the second version. It implies that the Czech Central Bank possesses the ability to diverge significantly from the Eurozone benchmark interest rate at least in the short term. It also shows that the interest rate hike will not be able to curb global inflation forces on the domestic price level.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41447502","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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