Infrastructure Variables Research Articles

The Effect of Foreign Direct Investment and Infrastructure on Economic Growth in Laos

The main of this study examines the long-run relationship between foreign direct investment and infrastructure on economic growth in Lao PDR using time series data from 1995-2020. The empirical evidence of cointegration among the variables in the long run by Autoregressive Distributed Lag (ARDL) bounds test estimates. The empirical results indicate that the FDI variable has a positive and significant impact on the level of Laos’ economic growth in the long run. Similarly, infrastructure variables such as telecommunication, electricity, and air transport play important roles in supporting economic growth in the long run and there are positive and statistically significant impacts at the level. As a result, to achieve the target of sustainable economic growth the government of Laos should attract and sustain more foreign direct investment and improve the infrastructure such as telecommunication, electricity, and air transport to boost economic growth shortly.

Analysis of the Influence of Economic and Social Infrastructure on Economic Growth in East Java

This study aims to determine the effect of economic and social infrastructure on economic growth in East Java in the 2008-2022 period. This research approach uses a quantitative approach. By using independent variables, namely the electricity infrastructure variable, the road infrastructure variable, the health infrastructure variable, and the education infrastructure variable and the dependent variable is the economic growth variable. The data analysis technique uses multiple linear regression analysis with the Ordinary Least Square (OLS) model with IBM SPSS 21 as the data processor. The results of my research studies show that electricity, health, and education infrastructure have a positive and significant impact on economic growth, while road infrastructure does not affect economic growth.

The Role of Infrastructure on Economic Growth in West Sumatra Province

This study aims to determine the length of roads and the amount of electricity sold partially and simultaneously against economic growth in West Sumatra province for the 2012-2021 period. This type of research is quantitative research. The data consists of road length, the amount of electricity sold as infrastructure variables and economic growth. This study uses multiple regression to analyze the impact of infrastructure indicators (consisting of road length and amount of electricity sold) on economic growth. The findings revealed that, while the amount of electricity sold had a significant impact on economic growth, the length of the road had a partial insignificant impact with a regression coefficient value of 0.632 and a significant level of 0.333 > 0.05 and the length of the road did not, with a regression coefficient value of 2.012 and a significant level of 0.020 > 0.05. Simultaneously, the variable length of the road and the amount of electricity sold affect economic growth with a significant level of 0.011< 0.05. The contribution of variable road length and the amount of electricity sold is 77.60% to economic growth while the remaining 22.40% is influenced by other factors not examined in this study. This research is expected to contribute to the government, especially in the field of Urban and Regional Planning. The result of this study is that electricity infrastructure indicators have a significant effect on economic growth indicators.

Analisis Faktor Kesiapan Digital Dalam Melakukan Adopsi Digital Pada Umkm

Digital transformation presents new challenges for MSME players, where it requires readiness from MSME players to change the business system from conventional to digital. On the other hand, MSME players still have various obstacles such as lack of resources, low understanding and knowledge about digitalization, and lack of expertise regarding digitalization. This research was conducted on MSMEs in Denpasar City using data from 120 respondents. Samples were obtained using simple random sampling. A factor analysis performed on 11 variables obtained results, consisting of three factors that summarized the 11 variables analyzed. Factor 1 summarizes the variables Technology, Environment, Management, Organization, Knowledge, HR and Finance. Factor 2 summarizes the variables of Resources, Strategy and Regulation.Factor 3 summarizes infrastructure variables
 Keywords: Digitization, Digital Readiness, SMES

A Socio-Spatial Approach to Define Priority Areas for Bicycle Infrastructure Using Covid-19 Data

The existing distribution of bicycle infrastructure is often quite unequal and concentrated in socially advantaged areas. One key issue is there remain less explored variables and models that could greatly assist in the equitable planning of new or improved bicycle infrastructure. To improve the allocation of cyclist-serving infrastructure, analysis should be: a) attuned to the needs of diverse users, b) temporally robust, and c) able to capture changes in use. I put forward an approach for siting bicycle infrastructure that utilizes administrative data, the inferential opportunity afforded by the interruption of the Covid-19 pandemic, and raster-based methods to describe a) where cycling behavior changed most during the pandemic compared to pre-pandemic conditions, b) where positive changes in cycling behavior during the pandemic concentrate across space and key population groups, and c) where such concentrations, in tandem with social and infrastructure variables, suggest areas for cyclist-serving infrastructure expansion under an equity-oriented paradigm. I find that positive changes in bikeshare trip durations during the pandemic can associate with low socioeconomic status (SES) areas of Philadelphia, and that many streets in these underserved areas may benefit from new or improved bicycle infrastructure.

How does the communication infrastructure quality of the countries along the “Belt and Road” effect the equipment export of China?

Under the influence of COVID-19 in the past few years, the world has been facing tremendous changes. The world economy is also facing strong headwinds on its path toward recovery, and global development has suffered major setbacks. Under this background, China's equipment export has also been greatly affected. In order to maintain a stable export of equipment manufacturing to the “Belt and Road” countries, this article constructs an extended gravity model with communication infrastructure variables using the statistical data of China's equipment manufacturing exports from 2010 to 2020 and discusses the impact of “Belt and Road” countries' communication infrastructure quality on China's equipment manufacturing exports by product and country heterogeneity analysis. The results indicate significant differences in the quality of communication infrastructure among countries along the “Belt and Road”. Overall, the improvement of “Belt and Road” countries' communication infrastructure quality can promote the export of China's equipment manufacturing industry. Except for the electrical machinery and office instrument, the quality improvement of “Belt and Road” countries' communication infrastructure has a positive effect on other subdivision products of China's equipment manufacturing industry, but the intensity of the effect is heterogeneous. The improvement of transition economies' communication infrastructure quality significantly promotes the export of China's equipment manufacturing industry, but the developed and developing economies' promotion effect is not significant.

Professional Performance: Analysis Based on the Optimization of Infrastructure and Work Ethics of Arts and Culture Teachers

This study aims to determine and analyze the influence of infrastructure optimization on the professional performance of Cultural Arts Teachers at Pekanbaru City High School; find and analyze the effect of work ethic on the professional performance of the Arts and Culture teachers at Pekanbaru City High School; found and analyzed the influence between the optimization of infrastructure and work ethic on the professional performance of the Arts and Culture teacher at Senior High School in Pekanbaru. The research methodology used in this study is a quantitative research method. The research tool used in data collection is a questionnaire. The population in this study were all 87 teachers of Cultural Arts at Pekanbaru City High School, with a sample of 47 teachers in this study. Methods of data analysis in this study using descriptive statistical analysis methods and inferential statistical analysis methods. Managing analytical, statistical data in the description of this study using Microsoft Excel tools and the Windows 23 version of SPSS. The results shown in the study are for the following reasons; a significant and positive effect was obtained between the variables of infrastructure optimization on the Professional Performance of Cultural Arts Teachers at Pekanbaru City Senior High School; a significant and positive effect was obtained between work ethic on the Professional Performance of Cultural Arts Teachers at Pekanbaru City Senior High School; There is a significant and positive influence between the optimization of infrastructure and work ethic variables on the Professional Performance of Cultural Arts Teachers at Pekanbaru City Senior High School. This means that the better or proper the facilities and infrastructure at the school, the higher the teacher's professional performance, then the higher the teacher's work ethic towards his work, the higher the teacher's professional performance, as well simultaneously.

Pengaruh Sarana dan Prasarana Serta Pelayanan Publik Terhadap Kepuasan Masyarakat

Given the lack of importance of the influence of facilities and infrastructure on community satisfaction, village officials must further improve existing facilities and infrastructure in the village so that people are satisfied with existing facilities. Village Governments and City Governments should focus more on improving the quality of services through the completeness of facilities and infrastructure. The purpose of this study was to reveal the facilities and infrastructure both partially and simultaneously which have a strong influence on community satisfaction in Durian Village, Pantai Labu District, Deli Serdang Regency and to find out what the percentage is. The method used in this study is a quantitative approach, while the variables studied are facilities and infrastructure (X1), public services (X2) and community satisfaction (Y). The population that the author examined was all the people in Durian Village, Pantai pumpkin District, Deli Serdang Regency. According to data from employees who work there, the population is 4300 people. So the sample used in this study was 98 people. The technique used uses sampling with accidental techniques. The variables of facilities and infrastructure (X1) and public services (X2) are able to contribute to the influence of the community satisfaction variable by 15.2% while the remaining 84.8% is influenced by other variables not examined in this study. From the conclusions above, the authors provide suggestions considering the lack of significance of the effect of the facilities and infrastructure variables on community satisfaction, the village apparatus must further improve the existing facilities and infrastructure in the village so that the community feels satisfied with the facilities and infrastructure they have. The Village Government and City Government should focus more on improve service quality through complete facilities and infrastructure

The Effect of Campus Infrastructure on Student Decision Making in Choosing to Study at HKBP Nommensen Pematang Siantar University T.A 2019/2020

This study aims to determine the effect of campus infrastructure on student decision making in choosing courses at HKBP Nomensen Pematangsiantar University for the 2019/2020 academic year. This type of research is descriptive quantitative research. The population in the study was 103 students of economic education in the 2019/2020 academic year. The sample used in this study was 103 by taking the entire population of economics education students at HKBP Nommensen Pematang Siantar University T.A 2019/2020 using the sampling technique, namely the Saturated Sample. Based on data analysis using Excel, it was found that the infrastructure variable (X) had no influence on student decision making in choosing courses at HKBP Nomensen Pematangsiantar University for the 2019-2020 Academic Year. Where in testing the hypothesis of the infrastructure variable (X) where the t-count value is 10.06 > the t-table value is 1.660, it can be concluded that infrastructure (X) has a significant influence on decision making (Y). After carrying out inferential statistical analysis, the statistical equation obtained from linear regression is Y = a + bX. The statistical equation obtained in this study is Y = 1.207 + 0.998 X. This can be interpreted that if the decision-making value increases by one unit, the campus infrastructure will increase by 0.998. It can be concluded that H_0 is accepted and H_1 is rejected. In the sense that the infrastructure variable has no effect on student decision making in choosing to study at HKBP Nomensen Pematangsiantar University.

Unraveling the socio-environmental drivers during the early COVID-19 pandemic in China.

The effect of environmental and socioeconomic conditions on the global pandemic of COVID-19 had been widely studied, yet their influence during the early outbreak remains less explored. Unraveling these relationships represents a key knowledge to prevent potential outbreaks of similar pathogens in the future. This study aims to determine the influence of socioeconomic, infrastructure, air pollution, and weather variables on the relative risk of infection in the initial phase of the COVID-19 pandemic in China. A spatio-temporal Bayesian zero-inflated Poisson model is used to test for the effect of 13 socioeconomic, urban infrastructure, air pollution, and weather variables on the relative risk of COVID-19 disease in 122 cities of China. The results show that socioeconomic and urban infrastructure variables did not have a significant effect on the relative risk of COVID-19. Meanwhile, COVID-19 relative risk was negatively associated with temperature, wind speed, and carbon monoxide, while nitrous dioxide and the human modification index presented a positive effect. Pollution gases presented a marked variability during the study period, showing a decrease of CO. These findings suggest that controlling and monitoring urban emissions of pollutant gases is a key factor for the reduction of risk derived from COVID-19.

The Influence of The Head of Madrasah and Infrastructure Facilities on The Quality of Education Through Teacher Competence

This study aims to analyze whether teacher competence is able to mediate madrasa heads and infrastructure on the quality of education. This study uses a quantitative approach, which consists of two exogenous variables of madrasa heads and infrastructure, one endogenous variable of education quality, and an intervention variable, namely teacher competency. The data obtained is primary data obtained directly from the respondents by dividing the questionnaires among the respondents. The research instrument used a Likert scale of 1-5, while data analysis used SEM diagram analysis which was processed using Amos Structural Equation Modeling. The results of the study show that teacher competence is able to mediate madrasa heads and infrastructure on the quality of education through teacher competence. These results indicate that teacher competence is able to mediate exogenous and endogenous variables.

PENGARUH RELATIONSHIP MARKETING DAN PROMOSI TERHADAP CUSTOMER LOYALITY JASA TRANSPORTASI PADA TRAVEL CV. FLORES SIBOLGA

PENGARUH RELATIONSHIP MARKETING DAN PROMOSI TERHADAP CUSTOMER LOYALITY JASA TRANSPORTASI PADA TRAVEL CV. FLORES SIBOLGA

Student Paradigm Analysis of Entrepreneurship Post-Pandemic in Indonesia

Objective: The outbreak of COVID-19 has had a significant impact on Indonesia's economy as a whole. The implementation of social distancing measures and subsequent Large-Scale Social Restrictions (LSSR) have led to companies downsizing and employees working from home. This has had a negative effect on the output of these companies and has necessitated action by the government to accelerate the recovery of all economic sectors. This study provides an overview of the student paradigm of entrepreneurship with a focus on the key variables of entrepreneurship education components, facilities and infrastructure, and entrepreneurial intention. Additionally, the study aims to explore the influence of these variables on entrepreneurial intention and to provide recommendations from student problem. Method: This research employs a quantitative and objectives addressed using two data analysis techniques: descriptive analysis and multiple linear regression analysis. Results: The findings of this study indicate that entrepreneurship education has a positive and significant influence on entrepreneurial intention, as do facilities and infrastructure. Additionally, the study found that entrepreneurship education and facilities and infrastructure both have a positive and significant influence on entrepreneurial intention. Novelty: The focus of this research involves master's degree students which are still little researched because most previous research has examined undergraduate students or the general public.

FACTORS AFFECTING TOURIST VISITS DURING THE COVID-19 PANDEMIC IN DURIAN AGRO-TOURISM

Durian agro-tourism is located in Purba Baringin Village, Pakkat District, Humbang Hasundutan Regency. Durian agro-tourism uses durian as a tourist attraction to attract tourists to visit Durian agro-tourism, not only durian that tourists consider visiting Durian agro-tourism but other aspects such as resources, promotions, facilities and infrastructure, institutions, and visitor satisfaction felt by visitors. The purpose of the study was to determine the factors that influence tourist visits to Durian agro-tourism. The method of determining the sample is by purposive sampling method, or it is done intentionally. The results obtained from this study are: 1) The influence of resource, promotion, institutional, and visitor satisfaction variables on tourist visits simultaneously is 0.087, and 0.913 is influenced by other models 2) The influence of resources, promotion, facilities, and infrastructure, institutional and satisfaction variables visitors to tourist visits partially are Resources 0.324, promotions -0.216, facilities and infrastructure -0.112, institutions -0.036, and visitor satisfaction -0.011.

Analysis Of The Effect Of Inftrastructure And Population On The Economy Of Java Island

This study aims to analyze the influence of road infrastructure, electricity infrastructure and population on provincial GRDP in Java. The type of data used in this study is secondary data from the Ministry of Finance and the Statistics Center Agency during the 2016-2021 time period. The method used in this study is panel data regression. Based on the regression result, the best model was obtained, namely the Random Effect Model. Furthermore, the results of this study show that partially the variables of road infrastructure, as well as electricity infrastructure have a positive and significant effect on the Provincial GRDP in Java Island at α=5%, while simultaneously the variables of roads infrastructure, electricity infrastructure, and population have a positive and significant effect on GRDP at α=5%. As for the results of the coefficient of determination (R2) test, the Adjusted R-Square value is 0.8414. This result shows that the variables of road infrastructure, electricity infrastructure and population can explain GDP by 84.14 percent while 15.86 percent is explained by other variables outside the model.

Analisis Faktor – Faktor Yang Mempengaruhi Keputusan Mahasiswa Memilih Melanjutkan Pendidikan Strata-1 Ekonomi Islam Universitas Diponegoro

This study aims to determine the effect of tuition fees, promotions, facilities, infrastructure, and also reputation on student decision-making in choosing the Islamic Economics study program, at the Faculty of Economics and Business (FEB) Diponegoro University, Semarang. This study uses a quantitative approach. The variables used in this study are tuition fees, promotions, facilities, and infrastructure, reputation, decision-making. The method used in this study was by taking questionnaire data which was distributed to active students of the Islamic Economics study program at Diponegoro University. The population used in this study is the number of active students in 2019, 2020, 2021, and 2022 which total 615 students. The samples taken were 97 students using the proportional random sampling technique. This study used multiple linear regression which was processed using the Statistical Package for Social Science (SPSS) version 26. The results showed that the infrastructure and reputation variables influenced student decision-making in choosing a study program, but the tuition and promotion variables did not affect student decisions in choosing the Islamic Economics study program, Faculty of Economics and Business (FEB) Diponegoro University Semarang.

The Influence of Training and Infrastructure Facilities on the Performance of State Junior High School Teachers in the City of Padang

Based on pre - survey in field drawn that the performance of state junior high school teachers in the city of Padang is still not optimal. this suspected there is relation with training and facilities. By because that need conducted study to test the truth. This study aims to reveal the influence of training and infrastructure facilities on teacher performance in public junior high schools in Padang City. The hypotheses proposed in this study are: (1) training has an effect on teacher performance, (2) infrastructure has an effect on teacher performance, (3) training and infrastructure in a manner together influences teacher performance. The population in this study is all junior high school teachers in the city of Padang, a total of 1,099 people from 11 districts. The sample study amounted to 63 people taken with technique proportionate stratified random sampling which had previously been carried out by clusters in 1 sub-district, namely West Padang District. The research instrument used is a scale evaluation and scale model questionnaire Likert that has tested its validity and reliability. Research data analyzed with multiple linear regression technique. The results of the data analysis show that: (1) training has a significant effect on teacher performance. This can be seen from the acquisition of t-count (2.645) > t-table (1.670) other than that it has a significant value = 0.005 <0.05, (2) infrastructure has a significant effect on teacher performance. This can be seen from the acquisition of t-count (2.827) > t-table (1.670) besides that it has a significant value = 0.006 <0.05 , (3) there is a significant effect of training and infrastructure together on teacher performance with a level a significant value of 0.000 <0.050 and with an f-count value of 434.822. The level of achievement of the teacher's response to training is in the high category (89.39% of the ideal score), the infrastructure variable is in the good category (84.80% of the ideal score) and the teacher'. The findings above imply that training and infrastructure are two factors that can improve teacher performance, apart from other factors

Analysis of factors influencing poverty in special region of Yogyakarta

This study examined how the poverty rate in Yogyakarta Special Region was affected simultaneously and partly by infrastructure, investments, economic growth, and district or city minimum salaries. In addition to time series data from 2014 to 2020, it used panel data with cross-sectional data from five districts or cities in the province of Yogyakarta Special Region. The Fixed Effect Model was the model employed in this investigation. The findings indicate that all independent variables, namely infrastructure, investment, economic growth, and district- or city-level minimum wages, affect the poverty rate simultaneously in the Special Region of Yogyakarta. The partial test results indicate that the infrastructure and investment variables have a positive but insignificant effect because they have yet to reach the periphery. In contrast, the economic growth variable has a significant impact.

PENGARUH INVESTASI DAN PEMBANGUNAN MANUSIA DALAM PENGENTASAN KEMISKINAN DI INDONESIA

This study aims to examine the short-term and long-term effects of foreign direct investment, human development, economic growth, and electricity infrastructure on poverty alleviation efforts, which are proxied by the number of poor people below the national poverty line in Indonesia. The data used are time series data from 1996 to 2019, the methods used are Auto Regressive Distributed Lag (ARDL) and Error Correction Model (ECM) or ARDL-ECM. The results of this study indicate that in the short term foreign direct investment and human development index variables have a significant negative effect on poverty. And in the long term, only the electricity infrastructure variable has a significant negative effect on poverty in Indonesia. Meanwhile, the economic growth variable does not have a significant effect, either in the short or long term, on poverty in Indonesia.

The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity

This study examines the impact of industrial intelligence on energy intensity in China, with a special perspective on the role of technology absorptive capacity in the relationship. Based on panel data from 30 Chinese provinces from 2006 to 2020, the direct and moderating effect model results show that industrial intelligence reduces energy intensity, and the interaction of industrial intelligence with technology absorptive capacity (i.e., assessed by the variables of information infrastructure, human capital, and technological innovation) tends to enhance the energy intensity reduction effect of industrial intelligence. Further, the threshold effect model shows that the reduction effect is heterogenous across regions: industrial intelligence tends to reduce energy intensity more in regions with higher information infrastructure, human capital, and technological innovation levels than in those with lower levels. Comprehensive governmental strategies to improve energy efficiency should concomitantly promote the sustainable development of industrial intelligence and technology absorption capacity.