Pub Date : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.12
C. M, R. P. K
The automotive original equipment manufacturers (OEM) current challenge of deriving the optimized cost to customer for the product when the product is configured dynamically. For every OEM the product they sell is bounded by warranty terms, thus the product configuration they offer should be reliable to withstand the warranty period. This paper discusses about the optimization of cost of the power train configuration which is offered to the customer is incorporated with the product cost and the provisional warranty cost. For a target cost the product planner must configure a power train configuration which should adhere to the target cost but selecting the power train configuration only based on cost will defeat the performance of the vehicle. Thus, power train configuration is governed based on the reliability factor of the power train components which is derived using a vehicle IoT data derived from live running vehicles. The cost to customer is calculated as the sum of product cost and provisional-warranty cost calculated based on the dynamic reliability predicted using the vehicle Internet of Things (IoT) data. In this paper, for the target cost to customer set by the product planner to select the best fit power train configuration for the product line, is formulated as a 0-1 knapsack problem, and dynamic programming is used to find the optimized cost to customer which is the sum of two variables the product cost and provisional warranty cost. The findings using this method is encouraging as the use of combinatorial optimization techniques and the vehicle IoT data model for deriving the dynamic reliability data are working in tandem to provide an optimum cost output.
{"title":"Optimization of cost to customer of power train in commercial vehicle using knapsack dynamic programming influenced by vehicle IoT data","authors":"C. M, R. P. K","doi":"10.58414/scientifictemper.2023.14.2.12","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.12","url":null,"abstract":"The automotive original equipment manufacturers (OEM) current challenge of deriving the optimized cost to customer for the product when the product is configured dynamically. For every OEM the product they sell is bounded by warranty terms, thus the product configuration they offer should be reliable to withstand the warranty period. This paper discusses about the optimization of cost of the power train configuration which is offered to the customer is incorporated with the product cost and the provisional warranty cost. For a target cost the product planner must configure a power train configuration which should adhere to the target cost but selecting the power train configuration only based on cost will defeat the performance of the vehicle. Thus, power train configuration is governed based on the reliability factor of the power train components which is derived using a vehicle IoT data derived from live running vehicles. The cost to customer is calculated as the sum of product cost and provisional-warranty cost calculated based on the dynamic reliability predicted using the vehicle Internet of Things (IoT) data. In this paper, for the target cost to customer set by the product planner to select the best fit power train configuration for the product line, is formulated as a 0-1 knapsack problem, and dynamic programming is used to find the optimized cost to customer which is the sum of two variables the product cost and provisional warranty cost. The findings using this method is encouraging as the use of combinatorial optimization techniques and the vehicle IoT data model for deriving the dynamic reliability data are working in tandem to provide an optimum cost output.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126098477","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.42
Muruganantham P, Harshavardhan J, Rajesh Pk, Neelakrishnan S
To implement a supreme interactive medium using the Free from mirror Technologies to improve the user experience and try to create a customizable Heads-up Display, in the cockpit, so that the user can well optimize the digital indicators and Navigation to a certain control and constraints. Providing a free from mirror arrangement can help the driver during driving without any disturbance in viewing and also doesn’t require a separate reflector arrangement for projection to be projected. Due to this the setup can be cost effective. For the customization part of the HUD, we can directly use the touch screen infotainment system or the even the digital instrument cluster to customize the HUD layout. Therefore, the factors to consider during the HUD setup and an idea to provide a customization to the HUD by the infotainment system is discussed in this paper.
利用Free from mirror技术实现极致的交互媒介，提升用户体验，并尝试打造可定制的平视显示器，在座舱内，使用户可以很好地优化数字指示器和导航，以达到一定的控制和约束。提供一个自由的镜子安排可以帮助司机在驾驶过程中没有任何干扰观看，也不需要一个单独的反射镜安排投影。因此，该设置具有成本效益。对于HUD的定制部分，我们可以直接使用触摸屏信息娱乐系统甚至数字仪表盘来定制HUD布局。因此，本文讨论了在HUD设置过程中需要考虑的因素以及信息娱乐系统对HUD进行定制的想法。
{"title":"Implementation of flexible and customizable free-from mirror heads-up display","authors":"Muruganantham P, Harshavardhan J, Rajesh Pk, Neelakrishnan S","doi":"10.58414/scientifictemper.2023.14.2.42","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.42","url":null,"abstract":"To implement a supreme interactive medium using the Free from mirror Technologies to improve the user experience and try to create a customizable Heads-up Display, in the cockpit, so that the user can well optimize the digital indicators and Navigation to a certain control and constraints. Providing a free from mirror arrangement can help the driver during driving without any disturbance in viewing and also doesn’t require a separate reflector arrangement for projection to be projected. Due to this the setup can be cost effective. For the customization part of the HUD, we can directly use the touch screen infotainment system or the even the digital instrument cluster to customize the HUD layout. Therefore, the factors to consider during the HUD setup and an idea to provide a customization to the HUD by the infotainment system is discussed in this paper.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132333518","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.17
Sowmiya M, Banu Rekha B, Malar E
Diabetic retinopathy is a potentially mortal diabetic complication. The severity level of DR must be identified earlier to reduce the medical complications. Effective automated ways for identifying DR and classifying its severity stage are necessary to reduce the burden on ophthalmologists. Transfer learning methods are utilized to automatically grade the severity of diabetic retinopathy in this study. The stages of DR are diagnosed using pretrained VGG16, Inception v3, and ResNet50 models on pre-processed retinal images of DDR dataset. Out of three implemented models, Inception v3 achieved higher validation accuracy of 76.47% and testing accuracy of 67% compared to VGG16 and ResNet50 models. This research contributes to the analysis of deep learning architectures for the creation of automated diabetic retinopathy stage diagnosis and grading
{"title":"Assessment of transfer learning models for grading of diabetic retinopathy","authors":"Sowmiya M, Banu Rekha B, Malar E","doi":"10.58414/scientifictemper.2023.14.2.17","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.17","url":null,"abstract":"Diabetic retinopathy is a potentially mortal diabetic complication. The severity level of DR must be identified earlier to reduce the medical complications. Effective automated ways for identifying DR and classifying its severity stage are necessary to reduce the burden on ophthalmologists. Transfer learning methods are utilized to automatically grade the severity of diabetic retinopathy in this study. The stages of DR are diagnosed using pretrained VGG16, Inception v3, and ResNet50 models on pre-processed retinal images of DDR dataset. Out of three implemented models, Inception v3 achieved higher validation accuracy of 76.47% and testing accuracy of 67% compared to VGG16 and ResNet50 models. This research contributes to the analysis of deep learning architectures for the creation of automated diabetic retinopathy stage diagnosis and grading","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115262368","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.39
Rasheedha A, Santhosh B, A. N, Sandhiya A
Foot plantar strain is the tension field that acts between the foot and the help surface during regular locomotion and exercises. Data from such strains is significant in gait analysis and posture research for diagnosing lower appendage issues, footwear configuration, sport biomechanics, injury anticipation and give important understanding on the assortment of biomechanical and neurological problems, with treatment and prevention of wounds brought about by high foot pressure. The gadget will quantify the foot tension from FSR, force sensitive resistor sensors, placed on insole of the shoe. These sensors are associated with the Arduino UNO. It decides the foot pressure dissemination in genuine time that permits us to imagine and dissect the data. A uniquely designed programming is made by utilizing LabVIEW. This method can be a real-time checking framework utilizing the pressure visualization program. The patient's details can be taken care of in and are saved in this product and when executed, the strain information gathered is changed over into advanced pattern and a pedobarography is created. This framework gives incredible achievable oversight for wellbeing observation, injury counteraction, and athlete preparing. Plantar tension estimation framework offers the clinician a serious level of convey ability, allowing use among various clinical sites.
{"title":"Foot sens - foot pressure monitoring systems","authors":"Rasheedha A, Santhosh B, A. N, Sandhiya A","doi":"10.58414/scientifictemper.2023.14.2.39","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.39","url":null,"abstract":"Foot plantar strain is the tension field that acts between the foot and the help surface during regular locomotion and exercises. Data from such strains is significant in gait analysis and posture research for diagnosing lower appendage issues, footwear configuration, sport biomechanics, injury anticipation and give important understanding on the assortment of biomechanical and neurological problems, with treatment and prevention of wounds brought about by high foot pressure. The gadget will quantify the foot tension from FSR, force sensitive resistor sensors, placed on insole of the shoe. These sensors are associated with the Arduino UNO. It decides the foot pressure dissemination in genuine time that permits us to imagine and dissect the data. A uniquely designed programming is made by utilizing LabVIEW. This method can be a real-time checking framework utilizing the pressure visualization program. The patient's details can be taken care of in and are saved in this product and when executed, the strain information gathered is changed over into advanced pattern and a pedobarography is created. This framework gives incredible achievable oversight for wellbeing observation, injury counteraction, and athlete preparing. Plantar tension estimation framework offers the clinician a serious level of convey ability, allowing use among various clinical sites.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207960","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.15
Nivethra Selvaraj, Dr. R. Prathiba Devi
Natural dyes, which have been pushed to the background by synthetic colours over the past sixty years, have suddenly resurfaced as a source of consumer interest. This is because of the familiarity with potential dangers during the innovation of engineered colors which include utilization of petrochemical-based unrefined components and the brutal substance responses for their combination. The production of engineered colors is energy concentrated with unfriendly effect on climate adding to its contamination. A considerable lot of these colors, particularly the azo-based ones, are viewed as cancer-causing. A brief examination of natural colourants derived from plant sources, their sequence, and the component ingredients responsible for diverse shadings is provided in this foundation, its exercises and impact of various mordants on the tone is talked about. Various classes of mordants utilized for obsession of regular colouration on materials substrated, its instrument and plant sources are likewise examined.
{"title":"Eco-friendly natural dyes and their application on printing graphics","authors":"Nivethra Selvaraj, Dr. R. Prathiba Devi","doi":"10.58414/scientifictemper.2023.14.2.15","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.15","url":null,"abstract":"Natural dyes, which have been pushed to the background by synthetic colours over the past sixty years, have suddenly resurfaced as a source of consumer interest. This is because of the familiarity with potential dangers during the innovation of engineered colors which include utilization of petrochemical-based unrefined components and the brutal substance responses for their combination. The production of engineered colors is energy concentrated with unfriendly effect on climate adding to its contamination. A considerable lot of these colors, particularly the azo-based ones, are viewed as cancer-causing. A brief examination of natural colourants derived from plant sources, their sequence, and the component ingredients responsible for diverse shadings is provided in this foundation, its exercises and impact of various mordants on the tone is talked about. Various classes of mordants utilized for obsession of regular colouration on materials substrated, its instrument and plant sources are likewise examined.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130764960","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.29
B. Tharini, R. Rajasudha, A. Kannammal
This paper proposes a single microstrip patch antenna (MPA) in the presence and absence of ground plane (GP) using binomial series expansion. The coefficients of binomial series expansion are employed. The proposed antenna is designed to serve for satellite service. The antenna is designed and simulation is performed by ADS software. The primary objective is to increase the directivity. FR4 substrate is used as the dielectric material. The performance measures like directivity, gain and efficiency are compared. The performance analysis of MPA residing and not residing on the GP is simulated and results are validated.
{"title":"Performance analysis of microstrip patch antenna using binomial series expansion","authors":"B. Tharini, R. Rajasudha, A. Kannammal","doi":"10.58414/scientifictemper.2023.14.2.29","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.29","url":null,"abstract":"This paper proposes a single microstrip patch antenna (MPA) in the presence and absence of ground plane (GP) using binomial series expansion. The coefficients of binomial series expansion are employed. The proposed antenna is designed to serve for satellite service. The antenna is designed and simulation is performed by ADS software. The primary objective is to increase the directivity. FR4 substrate is used as the dielectric material. The performance measures like directivity, gain and efficiency are compared. The performance analysis of MPA residing and not residing on the GP is simulated and results are validated.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422461","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.07
Sweta Jain, Jacob Joseph Kalapurackal
The fact that garment companies contribute to the fast declining environmental conditions in emerging nations and the dearth of sufficient studies that may assist manufacturing companies in reversing this trend, this empirical study of Indian garment manufacturing export units aims to investigate the relationships between Pressure, Green manufacturing, Green Training, and Green Innovation Additionally, it investigates the mediating impacts of green innovation and green training while assessing the impact of Pressure on green manufacturing The research data is collected by preparing questionnaires for garment manufacturing firms in Karnataka Data was acquired by a survey method. Hypotheses were tested using Smart PLS 4.0. The findings indicate that green training, green innovation, and pressures significantly and positively impact green manufacturing. However, green innovation has the most significant impact, followed by green training and Pressure. According to the findings, there is a partial positive significant mediation of Pressure between Green training and GM, a partial positive significant mediation of green innovation between Green training and GM, and a partial positive significant mediation of Pressure between Green innovation and Green Manufacturing. Furthermore, the R2 value of GM is high, exhibiting a 78.2% impact. The investigation results indicate that all the proposed hypotheses have been validated, which adds to the existing literature. The results of this empirical study, which is the first to examine the implications of Pressure, Green Training, and Green Innovation variables on adopting GM practices specifically for the Indian garment manufacturing export industry, will be equally helpful to researchers and practitioners to combat India's environmental problems.
{"title":"Green Innovation, Pressure, Green Training, and Green Manufacturing: Empirical evidence from the Indian apparel export industry","authors":"Sweta Jain, Jacob Joseph Kalapurackal","doi":"10.58414/scientifictemper.2023.14.2.07","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.07","url":null,"abstract":"The fact that garment companies contribute to the fast declining environmental conditions in emerging nations and the dearth of sufficient studies that may assist manufacturing companies in reversing this trend, this empirical study of Indian garment manufacturing export units aims to investigate the relationships between Pressure, Green manufacturing, Green Training, and Green Innovation Additionally, it investigates the mediating impacts of green innovation and green training while assessing the impact of Pressure on green manufacturing The research data is collected by preparing questionnaires for garment manufacturing firms in Karnataka Data was acquired by a survey method. Hypotheses were tested using Smart PLS 4.0. The findings indicate that green training, green innovation, and pressures significantly and positively impact green manufacturing. However, green innovation has the most significant impact, followed by green training and Pressure. According to the findings, there is a partial positive significant mediation of Pressure between Green training and GM, a partial positive significant mediation of green innovation between Green training and GM, and a partial positive significant mediation of Pressure between Green innovation and Green Manufacturing. Furthermore, the R2 value of GM is high, exhibiting a 78.2% impact. The investigation results indicate that all the proposed hypotheses have been validated, which adds to the existing literature. The results of this empirical study, which is the first to examine the implications of Pressure, Green Training, and Green Innovation variables on adopting GM practices specifically for the Indian garment manufacturing export industry, will be equally helpful to researchers and practitioners to combat India's environmental problems.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128516645","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.22
S. ChandraPrabha, S. Kantha Lakshmi
This article primarily focuses on data analysis and real time data modelling using linear regression and decision tree algorithm that might make revolutionary prediction on production data. Factual time data points include temperature, load, warning, on all the presented axis are the dependent parameters which be contingent on the changes in the autonomous paraments like load. Monitoring and innovative prediction is very much needed in industry as there are recurrent load changes that would create an data drift and in term of maintenance that could impact the production side as need of continues monitoring and control machine learning based approaches would work better on these real time production datasets.
{"title":"Data analysis and machine learning-based modeling for real-time production","authors":"S. ChandraPrabha, S. Kantha Lakshmi","doi":"10.58414/scientifictemper.2023.14.2.22","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.22","url":null,"abstract":"This article primarily focuses on data analysis and real time data modelling using linear regression and decision tree algorithm that might make revolutionary prediction on production data. Factual time data points include temperature, load, warning, on all the presented axis are the dependent parameters which be contingent on the changes in the autonomous paraments like load. Monitoring and innovative prediction is very much needed in industry as there are recurrent load changes that would create an data drift and in term of maintenance that could impact the production side as need of continues monitoring and control machine learning based approaches would work better on these real time production datasets.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115869192","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.20
Kowsalya Ramasamy, Thiyagarajan Krishnan
The tremendous growth in wireless communication needs a compact, wideband, high gain, low-cost antennas for transmitting and receiving signals. This paper focused on the design of rectangular microstrip antenna for ISM Band with a resonant frequency of 2.45GHz. It also examines how the dielectric constant and thickness of substrates affecting the performance of antennas. Four different substrates FR4, Alumina, PTFE, and RT Duroid 5880 with 1.6mm and 0.8 mm thickness are considered in antenna performance comparison. The work is verified up to the simulation level in Advanced Design System (ADS) software. The S parameter simulation results are presented to compare the performance of antenna for various substrate materials.
{"title":"Performance analysis of RF substrate materials in ISM band antenna applications","authors":"Kowsalya Ramasamy, Thiyagarajan Krishnan","doi":"10.58414/scientifictemper.2023.14.2.20","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.20","url":null,"abstract":"The tremendous growth in wireless communication needs a compact, wideband, high gain, low-cost antennas for transmitting and receiving signals. This paper focused on the design of rectangular microstrip antenna for ISM Band with a resonant frequency of 2.45GHz. It also examines how the dielectric constant and thickness of substrates affecting the performance of antennas. Four different substrates FR4, Alumina, PTFE, and RT Duroid 5880 with 1.6mm and 0.8 mm thickness are considered in antenna performance comparison. The work is verified up to the simulation level in Advanced Design System (ADS) software. The S parameter simulation results are presented to compare the performance of antenna for various substrate materials.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132303259","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 : 2023-06-06DOI: 10.58414/scientifictemper.2023.14.2.47
S. Shah, Netsanet Gizaw
Our study examines the conventional wisdom that causality runs from selected macroeconomic variables to economic growth in Ethiopia. Time series data from 1975 to 2018 were used to determining short and long run relationship among variables. A Johansen’s Cointegration test was used to investigate the presence of long run equilibrium relationship between variables while the Vector Error Correction Model and Granger Causality were used to test the short and long run causality direction between variables. The data were derived from the National Bank of Ethiopia (2020) and World Bank report (2020). Findings reveal that domestic savings, capital formation, exchange rate and price inflation have a positive and significant impact on long-run growth, although they have an insignificant impact in the short run. The result of causality generated a bidirectional association running from trade openness and domestic saving to growth. Unidirectional causality is exhibited between the rest of the variables and economic growth. The estimated coefficient of error correction term was found -0.3751, showing that any deviations from long run equilibrium are corrected are at 37.51% annually and converge towards its long run steady state path. This indicates a signal that long run policy towards inspire selected macro variables has a significant impact on growth.
{"title":"Impact of selected macroeconomic variables on economic growth in Ethiopia: A time series analysis","authors":"S. Shah, Netsanet Gizaw","doi":"10.58414/scientifictemper.2023.14.2.47","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.47","url":null,"abstract":"Our study examines the conventional wisdom that causality runs from selected macroeconomic variables to economic growth in Ethiopia. Time series data from 1975 to 2018 were used to determining short and long run relationship among variables. A Johansen’s Cointegration test was used to investigate the presence of long run equilibrium relationship between variables while the Vector Error Correction Model and Granger Causality were used to test the short and long run causality direction between variables. The data were derived from the National Bank of Ethiopia (2020) and World Bank report (2020). Findings reveal that domestic savings, capital formation, exchange rate and price inflation have a positive and significant impact on long-run growth, although they have an insignificant impact in the short run. The result of causality generated a bidirectional association running from trade openness and domestic saving to growth. Unidirectional causality is exhibited between the rest of the variables and economic growth. The estimated coefficient of error correction term was found -0.3751, showing that any deviations from long run equilibrium are corrected are at 37.51% annually and converge towards its long run steady state path. This indicates a signal that long run policy towards inspire selected macro variables has a significant impact on growth. ","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116448857","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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