scholarly journals Analysis of the Contribution of China’s Industrial Policies to Agriculture Sector

2020 ◽  
pp. 143-148
Author(s):  
Nuhu A. Sansa
Keyword(s):  
Food Production ◽  
Economic Openness ◽  
Economic Variables ◽  
Industrial Policies ◽  
Agriculture Sector ◽  
The World Bank ◽  
Simple Regression Model ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship

Recent different literature argued that China‟s agriculture sector contribution to economic development is deteriorating. The agriculture sector contribution with regard to Agriculture GDP contribution, agriculture employment, and foreign exchange earnings were decreased. The present study is undertaken to investigate the contribution of industrial policies to the Agriculture sector of China during the period from 2007 to 2018. Simple regression model employed as a methodology to investigate the contribution of industrial policies to the agriculture sector in China during the period from 2007 to 2018. The data of all agriculture macro-economic variables applied in this study (Economic openness, Agriculture GDP, Agriculture Food Production, and Employment in Agriculture) were collected from the World Bank for the whole period from 2007 to 2018. In order to investigate the contribution of Industrial policies to the agriculture sector in China, industrial policies were represented by the economic openness which stands as independent variable, while agriculture GDP, Agriculture food production and employment in agriculture were dependent variables in the study. The information discovered in the study was in actual fact catching the attention. Information discovered as a result of the investigation shows that relationship between Economic openness and Agriculture GDP is Negative, While the relationship between economic openness and other Agriculture macro-economic variables (Agriculture Food Production and Agriculture Employment) is Positive and meaningfully during the period from 2009 to 2018 in China. That means Industrial policies had meaningful contribution to Agriculture Food production and Agriculture Employment, While Industrial policies had no contribution to Agriculture GDP during the period from 2009 to 2018 in China.

An Empirical Examination of the Anomie Theory of Drug Use

1983 ◽  
Vol 13 (1) ◽  
pp. 49-62 ◽  
Author(s):  
R. Thomas Dull
Keyword(s):  
Drug Use ◽  
Sex Education ◽  
Adult Population ◽  
Adequate Explanation ◽  
Empirical Examination ◽  
Anomie Theory ◽  
Dependent Variables ◽  
Independent Variable ◽  
Level Of Significance ◽  
The Relationship

The purpose of the present study was to investigate the relationship between anomie theory, as measured by Srole's Anomie Scale, and the respondents self-admitted drug use (alcohol, marijuana, tobacco, amphetamines, and barbiturates). An analysis of self-reported drug use data was conducted of a general Texas adult population. This analysis included a series of bivariate cross comparison correlations between the independent variable (anomie) and the dependent drug variables. The relationship between the independent and dependent variables were further examined by calculating the correlation and level of significance within selected categories of several demographic (age, race, sex, education, income, and marital status) control variables. The results indicated that anomie was significantly correlated with several of the drug variables. However, these associations were extremely weak and of little explanatory value. It was concluded that, within the framework of this analysis, anomie theory fails to provide an adequate explanation for the use of drugs.

scholarly journals Hubungan Pengetahuan, Situasi, Sikap Dan Motivasi Dengan Keputusan Pembelian Laptop

2018 ◽  
Vol 10 (1) ◽  
pp. 76-87
Author(s):  
Bruno Hami ◽  
V. Ratna Inggawati
Keyword(s):  
Correlation Coefficient ◽  
Partial Correlation ◽  
Empirical Studies ◽  
Purchase Decision ◽  
Catholic University ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship ◽  
Attitude And Motivation ◽  
Economic Faculty

The study aims to obtain empirical information that knowledge, situation, attitude and motivation have positive relationship simultaneously and partially with laptop purchasing decision from students of Economic Faculty of Catholic University Darma Cendika Surabaya. Problems and hypothesis are formulated based on references and empirical studies. To test the hypothesis used regression conversion F test (linearitan) to determine whether the relationship between the dependent variable with the independent variable is linear or not. The correlation coefficient test is used to determine the size of the correlation coefficient whether significant or not. Population in this research is students of Economic Faculty of Catholic University Darma Cendika Surabaya with amount of sample counted 100 people. The end result of the study shows that the partial correlation test shows: (i) knowledge has a correlation coefficient of 0,034 with significance of 0,738 > 0,05, meaning the correlation coefficient is not significant; (ii) the situation has a correlation coefficient of 0,365 with significant 0,00 < 0,05, meaning significant correlation coefficient; (iii) attitude of having correlation coefficient 0,416 with significance 0,00 < 0,05, meaning significant correlation coefficient; and (iv) motivation has a correlation coefficient of 0,232 with a significance of 0,022 < 0,05, meaning the correlation coefficient is significant. Simultaneously, the dependent variable relation (X) with independent variable (Y) is positive with adjusted R Square (R2) of 0,428 which means that 42,8% purchase decision of laptop students of Economic Faculty of Catholic University Darma Cendika Surabaya can be explained by the four dependent variables, while the remaining 57,2% of the decision to purchase laptop students of Economic Faculty of Catholic University Darma Cendika Surabaya can be explained by other variables outside of the four dependent variables currently being studied.

scholarly journals The relationship between household income and educational level. (south Darfur rural areas-Sudan) statistical study

2016 ◽  
Vol 4 (1) ◽  
pp. 27 ◽  
Author(s):  
Sofian A. A. Saadv ◽  
Amin Adam
Keyword(s):  
Rural Areas ◽  
Household Survey ◽  
Level Of Education ◽  
Household Level ◽  
Income Sources ◽  
Dependent Variables ◽  
Independent Variable ◽  
High Level ◽  
Education Groups ◽  
The Relationship

<p>The main aim of this paper is to find out the relationship between the household level of income and the level of education for the household being lived in southern Darfur state (Sudan) since they were seriously affected by the war conflict and lost most of their income sources. One-way Analyses of Variance (ANOVA) have been used to asses this relation where the independent variable and dependent variables are categorical and continuous respectively. Data gathered from Household survey (HHS) is analyzed. The results indicate the existence of relationship between certain education groups and the level of income, mainly high level of education comparing with the low level.</p>

scholarly journals The Effect of Term of Payment on Customer Loyalty with Electronic Word of Mouth as Moderating Variable

2021 ◽  
Vol 3 (2) ◽  
pp. 125-134
Author(s):  
Ufi Rumefi
Keyword(s):  
Customer Loyalty ◽  
Research Method ◽  
Word Of Mouth ◽  
Electronic Word Of Mouth ◽  
Complaint Handling ◽  
Quality Product ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship ◽  
Test Result

This research was conducted to find out and explain the influence of Term of Payment dependent variables on independent variable Customer Loyalty with Electronic Word of Mouth as moderating variable. Samples in this study were customers of UD SUMBER AGUNG which amounted to 37 respondents, the research method used is quantitatively described with a tool SPSS.16 aids, the results of the study showed nillai t sig. the effect of Term of Payment on Customer Loyalty before moderating test of 0.000 is less than 0.05 this means that Term of Payment affects Customer Loyalty before moderating test for percentage of R-Squares effect of Term of Payment on Customer Loyalty of 57.3% the remaining 42.7% is influenced by other variables such as: complaint handling and good quality product. The test result of t. sig variable Term of Payment to Customer Loyalty after moderating with Electronic Word of Mouth as moderating variable is AbsX1_X2 (0.789>0.05) this explains that Electronic Word of Mouth as moderating variable is not able to strengthen the relationship between X to Y.

scholarly journals Appraisal of The Control 0f Industrial Policies to the Digital Economy: Proof from Tanzania

2020 ◽  
pp. 215-220
Author(s):  
Nuhu Sansa
Keyword(s):  
Gross Domestic Product ◽  
Digital Economy ◽  
Annual Reports ◽  
Domestic Product ◽  
Economic Openness ◽  
Industrial Policies ◽  
Technology Advancement ◽  
Simple Regression Model ◽  
Contemporary Study ◽  
Information And Technology

Recent in Tanzania evidence show that the rapid technology advancement resulted to the high and significant contribution to the Gross domestic product and economic development. Allude to that fact; the interrogation of policy infrastructure particularly industrial policies to pilot the digital economy is inescapable. The contemporary study is determined to explore the control of industrial policies to the digital economy specifically macroeconomic digital variables employed by the study (Information and Technology Gross Domestic Product and Population Using Internet) during the period from 2010 to 2017 in Tanzania. With respect to that, simple regression model is applied to inquire into the control of industrial policies to the digital economy in Tanzania during the period from 2010 to 2017. Ascribable to the sparseness of data, the only data accessible for the study during the period from 2010 to 2017 were gathered from the World Bank and the Bank Of Tanzania Annual Reports. Straight to investigate the control of industrial policies to the digital economy in Tanzania during the period from 2010 to 2017, industrial policies were represented by the economic openness which be positioned independent variable, while Information and Technology Gross Domestic Product and Population Using Internet were dependent variables in the study. The information discovered in the study was in actual fact catching the attention. Information discovered as a result of the exploration shows that the relationship between economic openness and all digital macroeconomic variable applied by the study (Information and Technology Gross Domestic Product and Population Using Internet) is Negative and meaningless. To such a degree industrial policies had no control to the digital economy during the period from 2010 to 2017 in Tanzania.

Human Capital and Agriculture Performance in Indonesia

2021 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Eny Lestari Widarni ◽  
Keyword(s):  
World Bank ◽  
Agricultural Sector ◽  
Analysis Method ◽  
The World Bank ◽  
The World ◽  
The Future ◽  
Independent Variable ◽  
Vector Direction ◽  
Relationship Of ◽  
The Relationship

This study aims to investigate the vector direction of the relationship between agriculture performance, employment in agriculture, and education in Indonesia. This research uses the vector analysis method. where the dependent variable and the independent variable take turns to see the direction of the relationship of each variable to each other. All data used in this study are sourced from the world bank data. We found that labor absorption in the agricultural sector in Indonesia continues to decline very sharply, it becomes a threat to agriculture performance in the future. Because there is a decline in performance in the future due to labor shortages and it is possible that the agricultural sector will be completely destroyed when there is a shortage of labor in this sector if the interest of the Indonesian youth in the agricultural sector is not invested.

scholarly journals Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

2018 ◽  
Vol 16 ◽  
pp. 02001 ◽  
Author(s):  
Ha Yoon Song ◽  
Hwa Baek Kang
Keyword(s):  
Regression Analysis ◽  
Poisson Regression ◽  
Human Mobility ◽  
High Tendency ◽  
Independent Variables ◽  
Location Data ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship ◽  
University Laboratory

A relationship between human personality and preferred locations have been a long conjecture for human mobility research. In this paper, we analyzed the relationship between personality and visiting place with Poisson Regression. Poisson Regression can analyze correlation between countable dependent variable and independent variable. For this analysis, 33 volunteers provided their personality data and 49 location categories data are used. Raw location data is preprocessed to be normalized into rates of visit and outlier data is prunned. For the regression analysis, independent variables are personality data and dependent variables are preprocessed location data. Several meaningful results are found. For example, persons with high tendency of frequent visiting to university laboratory has personality with high conscientiousness and low openness. As well, other meaningful location categories are presented in this paper.

scholarly journals EFFECTS OF INTERVENING LOAN TO DEPOSIT RATIO ON PROFITABILITY

2020 ◽  
Vol 1 (2) ◽  
pp. 239-252
Author(s):  
Laynita Sari ◽  
Renil Septiano
Keyword(s):  
Capital Adequacy ◽  
Return On Assets ◽  
Net Interest Margin ◽  
Capital Adequacy Ratio ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Government ◽  
The Relationship ◽  
Interest Margin

Government banks have a higher level of trust in society, as most of these shares are owned by the Government. Ratio used to assess a bank’s performance is the Return on Asset ratio. Each bank will try to keep its Return on Asset ratio consistently rising and the Non Performing Loan ratio consistently falling. But the phenomenon is that the ratio of Return on Asset and Non Performing Loan at the Government Bank fluctuated from 2014 to 2019. I will therefore examine the factors that affect the ratio of Return on Assets and Non-Performing Loans to government banks. In this study, the ratios used were Non Performing Loan, Net Interest Margin, Capital Adequacy Ratio as an independent variable, Loan to Deposit Ratio as an intervening variable and Return on Asset on its dependent variables. The result that the Variable Loan to Deposit Ratio mediates the relationship between Net Interest Margin and Return on Asset.

The Importance of Brand Heritage A Study of Luxury Fashion Brands in Jakarta

2015 ◽  
Vol 21 (4) ◽  
pp. 768-771
Author(s):  
Kavish Ramesh Manwani ◽  
Dahlia Darmayanti
Keyword(s):  
Positive Impact ◽  
Luxury Brands ◽  
Simple Linear Regression ◽  
Brand Strength ◽  
Luxury Goods ◽  
Significant Difference ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship ◽  
Brand Heritage

Objective: to examine the importance of brand heritage as a significant effect in marketing management of luxury fashion brands. Methods: Simple Linear Regression is used to test the relationship between brand heritage as an independent variable and cognitive brand strength, affective brand strength, and intentional brand strength as dependent variables. An independent t-test is used to examine if there are differences between the customers who purchase luxury goods with regard to brand heritage. And the last is ANOVA to check if there are any significant differences in brand heritage with regards to the age, expenditure, and education level of the respondents. Results: brand heritage does have a positive impact on the cognitive brand strength, affective brand strength and intentional brand strength on the customers of these luxury brands. The independent t-test revealed that there is a significant difference between the customers of the two items bags and watches with regard to the brand heritage. ANOVA tests revealed that there is no significant difference between brand heritage and age, gender, expenditure, and income level of the respondents.

scholarly journals Assessing the Impact of Industrial Policies on Economic Development in Nepal

2016 ◽  
pp. 40-75
Author(s):  
Khom Raj Kharel
Keyword(s):  
Economic Development ◽  
Trade Balance ◽  
Industrial Development ◽  
Total Revenue ◽  
Total Trade ◽  
Economic Openness ◽  
Industrial Policies ◽  
Simple Regression Model ◽  
The Government ◽  
The Impact

This study analyzes the impact of industrial policies on Nepalese economic development. For this, simple regression model has been applied to estimate the impact of industrial policies on macroeconomic growth. The impact of industrial policies is analyzed as pre-liberalization period (1974/75-1991/92), post liberalization period (1991/92-2009/10) and whole period (1974/75- 2009/10). The result shows that there are significant positive relationship between economic openness and industrial registration, GDP, industrial GDP, employment, investment, foreign trade (imports and exports), trade balance, total revenue and trade tax in the whole of 1974/75- 2009/10. During pre-liberalization period, these relationships have also been found positive, as well. But, during the post liberalization period, the impact of economic openness on the growth of industries, GDP, employment, investment, total revenue, trade tax, total trade, import trade, export trade and trade balance are not found positive. To achieve the satisfactory result the government policies should be appropriately reviewed to make them investment friendly and accelerate the industrial development in Nepal.Economic Journal of Development Issues Vol. 17 & 18 No. 1-2 (2014) Combined Issue, Page: 40-75

Sign in / Sign up

Export Citation Format

Share Document