Modern Perspectives of Logistics Transport in Economics. Empirical Studies in Ho Chi Minh, Vietnam Vol. 2

The book Vol 2 provides a series of empirical studies in terms of Logistics transport in Ho chi Minh, Vietnam. There is total ten chapters which are (Chapter 1) the study objective is to assess which factors of institutions impact on logistics transport productivity and how they impact. The highlight findings are People's participation at the grassroots level and Public service supply impact on goods productivity calculated on labour, passenger productivity calculated on labour, and passenger productivity calculated on capital. Accountability to the people and Public administrative procedures impact on goods productivity calculated on labour. The publicity and transparency and the control of corruption in the public sector impact on passenger productivity calculated on labour. The control of corruption in the public sector impacts on passenger productivity calculated on capital. (Chapter 2) is to assess how physical infrastructure impact on logistics transport development; the case of Ho Chi Minh-Vietnam (HCM). Author uses Multivariate regression (MR) to assess by separated MR models, respectively. The major findings are cargo productivity / total labour is are impacted by road length, road quality, length of the railway line, quality of the airway. Passenger productivity / total labour is impacted by road length, road quality, length of the railway line, airlines units which departing internationally, quality of the airway, connection between domestic and international airports. Cargoproductivity / total capital is impacted by road length, road quality, length of the railway line, airlines units which departing internationally, quality of the airway, connection between domestic and international airports. Passenger productivity / total capital is impacted road length, length of the railway line, railway quality, quality of the airway, connection between domestic and international airports.All of eight independent variables PI₁, PI₂, PI₃, PI₄, PI₅, PI₆, PI₇, PI₈impact onGDP of logistics transport in HCM. (Chapter 3) is to measures the role of information technology infrastructure (ITI) in development of logistics transport by assessing the impact of six independent variables of ITI on logistics transport development which using multivariate regression (MR). The main findings are Labour goods productivity is impacted by number of broadband subscriptions and international internet traffic. Labour passenger productivity is impacted by number of safe Internet connections and number of broadband subscriptions. Capital goods productivity is impacted by number of safe Internet connections and number of ADSL internet subscribers. Gross domestic product is impacted by number of ADSL internet subscribers, international internet traffic and number of mobile network subscriptions. (Chapter 4) with main findings are while investment from the government budget and foreign investment impact, openness of economy does not impact on Labour goods productivity. While investment from the government budget and foreign investment impact, openness of economy does not impact on Labour passenger productivity. While foreign investment impacts, investment from the government budget and openness of economy do not impact on Capital goods productivity. While foreign investment impacts, investment from the government budget and openness of economy do not impact on Capital passenger productivity. While investment from the government budget and foreign investment impact, openness of economy does not impact on Gross domestic products. (Chapter 5) that has the main findings are CO₂, methane and other emission factors cause air pollution impact on Labour goods productivity. Methane impacts on Labour passenger productivity. CO₂, Methane impact on Gross domestic products. (Chapter 6) with the highlight findings are total number of labour force, total number of female labour force, total number of labour force who have been career trained and total number of labour force have been graduated high school impact on goods productivity calculated on total number of employees. While total number of labour force and total number of labour force have been graduated high school impact, total number of female labour force and total number of labour force who have been career trained do not impact on passenger productivity calculated on total number of employees. While total number of female labour force, total number of labour force who have been career trained and total number of labour force have been graduated high school impact, total number of labour force does not impact on goods productivity calculated on total capital. While total number of labour force and total number of labour force have been graduated high school impact, total number of female labour force and total number of labour force who have been career trained do not impact on gross domestic products. (Chapter 7) has the main findings are (1) While total number of enterprises and fixed assets & long-term investment capital impact, total capital for yearly business operation does not impact on goods productivity which calculates on labour. (2) While total number of enterprises and total capital for yearly business operation impact, fixed assets & long-term investment capital does not impact on passenger productivity which calculates on labour. (3) While total number of enterprises and fixed assets & long-term investment capital impact, total capital for yearly business operation does not impact on goods productivity which calculates on total capital. (4) While total number of enterprises and fixed assets & long-term investment capital impact, total capital for yearly business operation does not impact on passenger productivity which calculates on total capital. (5) total number of enterprises, total capital for yearly business operation and fixed assets & long-term investment capital impact on Gross domestic products. (Chapter 8) with the major findings are while population who are resident in Rural and in Urban impact, population who are Female and Male do not impact on productivity of cargo which calculated on labour of Logistics Transport Industry (LTI). While population who are resident in Rural and in Urban do not impact, population who are Female and Male impact on productivity of passenger which calculated on labour of LTI. While population who are Female and Male impact on, population are resident in Rural and in Urban do not impact on Gross domestic products. (Chapter 9) has the important findings are that, while registered FDI capital and the number of FDI projects have an impact, operating FDI capital has no impact on freight productivity calculated on labour in the logistics transport industry (LTI). While number of FDI projects and operating FDI capital impact, registered FDI capital does not impact on productivity of passenger that calculated on labour in LTI.  While registered FDI capital and the number of FDI projects have an impact, operating FDI capital has no impact on freight productivity, which is calculated using capital in LTI. While registered FDI and operating FDI have an impact, the number of FDI projects has no effect on GDP. And (Chapter 10) which has results are the cumulative percent of impact of the labour force on the state sector, the labour force on the outside state sector, and the labour force on the foreign investing sector ranges from 14 percent to 100 percent. In 2005, the lowest level was 10%. In 2019, the highest level is 100%. The cumulative percent of logistics transport development will be impacted, with the lowest level being 7% and the highest being 100% between 2006 and 2015, the level of impact increased. The cumulative percent of impact of labour force on state sector, labour force on outside state sector, labour force on foreign investing sector, and cumulative percent of logistics transport development to be impacted are all at various levels.

Institutions is playing an increasingly important role in economic development. This paper aims to measure the role of institution in development of logistics transport through assessing the impact of institution on logistics transport productivity using multivariate regression model (MR) with time series data from 2010 to 2020 of Ho Chi Minh, Vietnam (HCM). The study objective is to assess which factors of institutions impact on logistics transport productivity and how they impact. The highlight findings are People's participation at the grassroots level and Public service supply impact on goods productivity calculated on labour, passenger productivity calculated on labour, and passenger productivity calculated on capital. Accountability to the people and Public administrative procedures impact on goods productivity calculated on labour. The publicity and transparency and the control of corruption in the public sector impact on passenger productivity calculated on labour. The control of corruption in the public sector impacts on passenger productivity calculated on capital.

The objective of this paper is to assess how physical infrastructure impact on logistics transport development; the case of Ho Chi Minh-Vietnam (HCM). Author uses Multivariate regression (MR) to assess by separated MR models, respectively. The major findings are cargo productivity / total labour is are impacted by road length, road quality, length of the railway line, quality of the airway. Passenger productivity / total labour is impacted by road length, road quality, length of the railway line, airlines units which departing internationally, quality of the airway, connection between domestic and international airports. Cargoproductivity / total capital is impacted by road length, road quality, length of the railway line, airlines units which departing internationally, quality of the airway, connection between domestic and international airports. Passenger productivity / total capital is impacted road length, length of the railway line, railway quality, quality of the airway, connection between domestic and international airports.All of eight independent variables PI₁, PI₂, PI₃, PI₄, PI₅, PI₆, PI₇, PI₈impact onGDP of logistics transport in HCM.

Our lives today are heavily dependent on information technology. Especially economic activities, logistics transport sector is not exception. The objective of paper is to measures the role of information technology infrastructure (ITI) in development of logistics transport by assessing the impact of six independent variables of ITI on logistics transport development which using multivariate regression (MR). The main findings are Labour goods productivity is impacted by number of broadband subscriptions and international internet traffic. Labour passenger productivity is impacted by number of safe Internet connections and number of broadband subscriptions. Capital goods productivity is impacted by number of safe Internet connections and number of ADSL internet subscribers. Gross domestic product is impacted by number of ADSL internet subscribers, international internet traffic and number of mobile network subscriptions.

There is a variety of factors impact on business environment, they are in different way to impact on. Objective of the paper is to analyse the importance of business environment in logistics transport development by assess three variables are investment of government, foreign investment and economy openness in Ho Chi Minh City, Vietnam (HCM). Author uses Multivariate regression (MR) with time series data between 2010 and 2020. The main findings are while investment from the government budget and foreign investment impact, openness of economy does not impact on Labour goods productivity. While investment from the government budget and foreign investment impact, openness of economy does not impact on Labour passenger productivity. While foreign investment impacts, investment from the government budget and openness of economy do not impact on Capital goods productivity. While foreign investment impacts, investment from the government budget and openness of economy do not impact on Capital passenger productivity. While investment from the government budget and foreign investment impact, openness of economy does not impact on Gross domestic products.

Our global is being warmed is a concerned matter. In which greenhouse gases is main reason that directly affects. Particularly, consisting of CO₂, methane and other emission factors cause air pollution. The objective of paper is to assess how impact of these factors on logistics transport development by using Multivariate regression (MR). The main findings are CO₂, methane and other emission factors cause air pollution impact on Labour goods productivity. Methane impacts on Labour passenger productivity. CO₂, Methane impact on Gross domestic products.

Human resources always play an important role in the operation of business organizations. In addition, the gender issues, qualifications and training career strongly impact on the productivity and growth of the organizations. This paper has objective is to assess the impact of human resources, gender, qualification and training career on logistics transport industry, by using multivariate regression (MR), the case of Ho Chi Minh, Vietnam (HCM). The highlight findings are total number of labour force, total number of female labour force, total number of labour force who have been career trained and total number of labour force have been graduated high school impact on goods productivity calculated on total number of employees. While total number of labour force and total number of labour force have been graduated high school impact, total number of female labour force and total number of labour force who have been career trained do not impact on passenger productivity calculated on total number of employees. While total number of female labour force, total number of labour force who have been career trained and total number of labour force have been graduated high school impact, total number of labour force does not impact on goods productivity calculated on total capital. While total number of labour force and total number of labour force have been graduated high school impact, total number of female labour force and total number of labour force who have been career trained do not impact on gross domestic products.

In general business activities, fixed asset investment capital, long-term investment, capital put into business operation yearly, and the number of enterprises which are operating in the industry that they are major influence on the business development. The objective of this paper is to measure the impact of these factors to the development of logistics transport industry, the case in Ho Chi Minh, Vietnam (HCM). The main findings are (1) While total number of enterprises and fixed assets & long-term investment capital impact, total capital for yearly business operation does not impact on goods productivity which calculates on labour. (2) While total number of enterprises and total capital for yearly business operation impact, fixed assets & long-term investment capital does not impact on passenger productivity which calculates on labour. (3) While total number of enterprises and fixed assets & long-term investment capital impact, total capital for yearly business operation does not impact on goods productivity which calculates on total capital. (4) While total number of enterprises and fixed assets & long-term investment capital impact, total capital for yearly business operation does not impact on passenger productivity which calculates on total capital. (5) total number of enterprises, total capital for yearly business operation and fixed assets & long-term investment capital impact on Gross domestic products.

Population is one crucial factor to develop the economy, how to divide the population by gender and geography efficiently is the extreme strategy. This paper has objective to assess the impact of population structure divided by gender and geography in terms of the whole Vietnam country on logistics transport development in Ho Chi Minh, Vietnam (HCM) by using multivariate regression with time series data between 2010 and 2019. The major findings are while population who are resident in Rural and in Urban impact, population who are Female and Male do not impact on productivity of cargo which calculated on labour of Logistics Transport Industry (LTI). While population who are resident in Rural and in Urban do not impact, population who are Female and Male impact on productivity of passenger which calculated on labour of LTI. While population who are Female and Male impact on, population are resident in Rural and in Urban do not impact on Gross domestic products.

Foreign Direct Investment (FDI) has a significant impact on an economy, particularly in developing countries such as Vietnam. FDI has a strong and deep impact on almost all economic sectors in a country. The goal of this paper is to use multivariate regression to assess the impact of IDF on logistics transport development in Ho Chi Minh City, Vietnam (HCM). The important findings are that, while registered FDI capital and the number of FDI projects have an impact, operating FDI capital has no impact on freight productivity calculated on labour in the logistics transport industry (LTI). While number of FDI projects and operating FDI capital impact, registered FDI capital does not impact on productivity of passenger that calculated on labour in LTI.  While registered FDI capital and the number of FDI projects have an impact, operating FDI capital has no impact on freight productivity, which is calculated using capital in LTI. While registered FDI and operating FDI have an impact, the number of FDI projects has no effect on GDP.

Labour force plays an important role, and it is the strategy of a country.  The purpose of this paper is to assess the impact of labour force structure divided by economic sectors on the development of logistics transport in Ho Chi Minh City, Vietnam (HCM). Estimating Logistics Regression by Maximum Log Likelihood (LRML) and Assessing Fit of a Logistics Regression (AFLR) are used by the author with time series data from 2005 to 2019. The cumulative percent of impact of the labour force on the state sector, the labour force on the outside state sector, and the labour force on the foreign investing sector ranges from 14 percent to 100 percent. In 2005, the lowest level was 10%. In 2019, the highest level is 100%.The cumulative percent of logistics transport development will be impacted, with the lowest level being 7% and the highest being 100% between 2006 and 2015, the level of impact increased. The cumulative percent of impact of labour force on state sector, labour force on outside state sector, labour force on foreign investing sector, and cumulative percent of logistics transport development to be impacted are all at various levels.