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UNIVERSITY OF ECONOMICS HO CHI MINH CITY t to ng International School of Business hi ep - w n lo ad HUYNH PHAN MY NHUNG ju y th yi pl ua al n FACTORS AFFECTING CUSTOMER’S GREEN va n CONSUMPTION INTENTION: A STUDY OF GREEN ll fu oi m HOME APPLIANCES PRODUCTS IN VIET NAM at nh z z ht vb jm k MASTER OF BUSINESS (Honours) om l.c gm n a Lu n va y te re Ho Chi Minh City – Year 2015 UNIVERSITY OF ECONOMICS HO CHI MINH CITY t to ng International School of Business hi ep - w n lo ad HUYNH PHAN MY NHUNG ju y th yi pl FACTORS AFFECTING CUSTOMER’S GREEN al n ua CONSUMPTION INTENTION: A STUDY OF GREEN va n HOME APPLIANCES PRODUCTS IN VIET NAM ll fu oi m at nh z ID: 22120135 z ht vb k jm SUPERVISOR: DR PHAM NGOC THUY om l.c gm MASTER OF BUSINESS (Honours) n a Lu n va y te re Ho Chi Minh City – Year 2015 i t to ng hi ABSTRACT ep Research suggests four structures: the impact of attitudes toward green brand, green w n satisfaction, green brand perceived value, green trust to green consumption intention and this lo ad study learn the relationship between these variables In addition, this study also has y th recommended to learn the effects of demographic variable to the relationship between the ju attitude toward green brand variable, green satisfaction variable, green brand perceived value yi pl variable, green trust variable and green consumption intention variable Green home ua al appliances products with foreign brand which are distributed in Vietnam are the focus for this n study, the green appliances products have green energy label to energy saving and va n environmental friendly A survey involving 300 respondents are conducted for this study, the ll fu method is used by face-to-face interview m oi Keywords: green consumption intention, green satisfaction, green brand perceived value, nh attitude toward green brand, green trust, green marketing at z z k jm ht vb om l.c gm n a Lu n va y te re th ii t to ng TABLE OF CONTENTS hi ep CHAPTER 1: INTRODUCTION 1.1 Research background w n 1.2 Research problems lo ad 1.3 Research objectives y th 1.4 Research scope ju 1.5 Research method yi pl 1.6 Significance of research al ua 1.7 Structure of the study n CHAPTER 2: LITERATURE REVIEW va n 2.1 Some previous studies related to this research fu ll 2.2 Definitions of the concepts 10 m oi 2.2.1 Attitude toward green brand 10 at nh 2.2.2 Green satisfaction 11 z 2.2.3 Green brand Perceive Value 11 z vb 2.2.4 Green Trust 12 jm ht 2.2.5 Green consumption intention 12 k 2.3 Hypothesis developing and proposed research model 13 gm 2.4 Research model 19 om l.c 2.5 Summary 21 CHAPTER 3: RESEARCH METHODOLOGY 22 a Lu 3.1 Research design 22 n 3.1.1 Research process 22 va n 3.1.2 Research method 23 th 3.2 Questionnaire design 27 y 3.1.4 Sampling 25 te re 3.1.3 Pilot study 23 iii t to ng 3.2.1 Measurements scales of the constructs 27 hi ep 3.2.2 Draft questionnaire 27 3.3.Measurement scales testing 28 w n 3.3.1 Test of scales measurement reliability 28 lo ad 3.3.2 Exploration factor analysis (EFA) 29 ju y th 3.4 Hypothesis testing 30 3.4.1 Pearson Correlations 30 yi pl 3.4.2 Multiple regression 30 al ua 3.5 Summarry 31 n CHAPTER 4: DATA ANALYSIS AND RESULTS 32 va n 4.1 Sample characteristics 32 fu ll 4.2 Assessment of measurement scales 33 m oi 4.2.1 Reliability analysis 33 nh 4.2.2 Factor analysis (EFA) 35 at z 4.2.3 Factor analysis (EFA) round time 36 z ht vb 4.3 Hypotheses testing using multiple regressions 39 jm 4.3.1 Checking assumption of Multiple Regression 39 k 4.3.2 Hypothesis results 42 gm 4.4 Test the effect of moderating variables 43 om l.c 4.4.1 Test the moderating of gender: 43 4.4.2.Test the moderating of Age 44 a Lu 4.4.3 Test the moderating of Family status 45 n va 4.4.4 Test the moderating of Education 47 n 4.4.5 Test the moderating of Income 48 th 4.7 Summary 52 y 4.6 Discussions 51 te re 4.5 Normality, linearity, homoscedasticity and outliers 50 iv t to ng CHAPTER 5: RECOMMENDATION AND CONCLUSION 54 hi ep 5.1 Research findings 54 5.2 Managerial implications 56 w n 5.3 Research limitations and directions for future research 56 lo ad REFERENCES 58 ju y th APPENDIXES 64 Appendix 1: Questionaires in English version 64 yi pl Appendix : Questionaires in Vietnamese version 67 al ua Appendix 3: Statistical Results 70 n 3.1 Sample characteristics 70 va n 3.2 Cronbach's aplpha for each constructs 71 fu ll 3.3 The first time running factor analysis – eigenvalues (for independent variables) 73 m oi 3.4 The second time running factor analysis – eigenvalues (for independent variables) 75 nh 3.5 Correlations 76 at z 3.6 Regression 77 z ht vb 3.7 Regression of gender 77 jm 3.8 Regression of Age 79 k 3.9 Regression of family status 80 gm 3.10 Mean of Education 81 om l.c 3.11 Mean of Income 82 3.12 Test of assumptions 83 n a Lu n va y te re th v t to ng TABLE OF FIGURES hi ep Figure 1: Image for green energy label (Tapdoandienlucvietnam, 2015) .5 w Figure 2: Kang and Hur (2011)’s research model 10 n lo Figure 3: Proposed research model 20 ad Figure 4: Research process 22 y th Figure 5: Revised research model 37 ju yi Figure 6: Histogram .83 pl ua al Figure 7: Normal P-P Plot 84 Figure 8: Scatterplot .84 n n va ll fu oi m at nh z z k jm ht vb om l.c gm n a Lu n va y te re th vi t to ng LIST OF TABLES hi ep Table 1: Scales .23 w Table 2: Sample Description characteristics 33 n Table 3: Cronbach’s alpha test of items (N=267) 34 lo ad Table 4: Pattern Matrix in Factor analysis (EFA) round time 36 y th Table 5: Correlations 38 ju yi Table 6: R Square value (R2 ) 39 pl Table 7: Anova .40 al n ua Table 8: Coefficients 40 va Table 9: Results of hypothesis test 42 n Table 10: Comparison of coefficients related gender: Female 43 fu ll Table 11: Comparison of coefficients related gender: Male 43 m oi Table 12: Comparison of coefficients related Age: 35 45 z Table 14: Comparison of coefficients related family status: Single 45 z ht vb Table 15: Comparison of coefficients related family status: Married 46 jm Table 16: Mean related Education of 267 samples 47 k Table 17: Mean related education: under Bachelor groups with 125 samples 48 gm Table 18: Mean related education: Bachelor and Master groups with 142 samples .48 l.c Table 19: Mean related Income of 267 samples 49 om Table 20: Mean related low income groups: ≤ 12 million with 79 samples 49 a Lu Table 21: Mean related high income groups: >12 million with 188 samples 49 n n va y te re th t to ng CHAPTER 1: INTRODUCTION hi ep 1.1 Research background w In recent years, consumers are aware of the environmental problems in the world n lo because of the impact of environmental disasters and environmental protection is being ad y th enhanced consumer (Mclntosh, 1991) So, environmental concerns quickly developed as a key ju issue for consumers and more companies are seeking to catch the opportunity, sales of green yi products have increased significantly and consumers are willing to pay a higher price for pl ua al green products (Chen, 2008b) Therefore, green marketing has become increasingly important n for some types of products so that manufactured and using green technology from green n va materials, such as green home appliances products (Chen et al., 2006) The companies ll fu understand that if they offer products and services that meet customer requirements on oi m environment, these customers supported their products at nh Besides, in the current, Vietnam's government has also encouraged people consuming of z green products Promoting green labeling and information dissemination of environmentally z friendly products to all of society, apply green program for buying some green product groups vb jm ht and to encourage businesses save resources and limited waste of energy and resources (Hiep hoi son, 2015) So the responsibility of the business such as Electronics supermarkets that k gm distribute and sell green products to customers as requested by the government Therefore, this l.c study helped businesses learn to the attention of customers that have willing to buy green om products or don’t have willing to buy green products Moreover, this study based on green a Lu marketing’s element to learn the green comsumption intention of customers There are four n factors about customer behavior leading to use the green products, that is attitude toward green va n brand (Huang, Yang & Wang, 2013), green brand perceived value (Butt, Ng, Khong & Ong, th appliances products in Viet Nam y these factors to learn for their effects to Green consumption intention in user's green home te re 2013), green satisfaction and green trust (Kang & Hur, 2011) So, it is proposed for using t to ng In summary, research on environmental concerns context by exploring the dynamics, it hi ep has provided an assessment with the new concept of green marketing Besides, an understanding of the relationship between Attitude toward green brand, Green satisfaction, w n Green brand perceived value, Green trust and Green consumption intention has expected lo ad meaningful and practical reasoning in green product management y th ju 1.2 Research problems yi pl According to (Bienphongvietnam, 2013) has shown that the level of environmental ua al pollution is increasing, directly threaten to economic, social development in Viet Nam There n are three environmental pollution: soil pollution, water pollution and air pollution In three va n types of pollution that the air pollution in large cities is the most serious For example: The use ll fu of multiple air conditioners in cities today shows that the risk of noxious gases emitted from oi m these products is increasing, it has caused environmental pollution, in particular air pollution, at nh a profound impact on the lives and health of people Therefore, to handle effectively for the enviromental problems, requiring consumers to use home appliances devices to saving and z z efficiency such as turn off air conditioner and equipment when not needed However, the best vb jm ht way so the author warned that the consumers need to buy green home appliances products that are environmentally friendly and save energy to meet the demands of them (Chen et al., 2006) k gm Properties of green products: green products are the product must pass strict criteria: om l.c compliance with legal regulations on environmental protection, satisfactory quality, energy saving, limited use of toxic components in the manufacturing process and reduce pollution a Lu Besides, it responsible for ensuring the health of consumers, guide and encourage consumers n consumers have ready to buy these green products or don’t have ready to buy these green th higher than other products but they have save energy and protect the enviroment The y and save money on long-term use The problem that if the price of green products is often te re The models of green product is variety, has a good warranty, reputation, energy saving n va to use the product in a manner friendly to the environment (Hawari & Hassan, 2008) 70 t to ng hi Appendix 3: Statistical Results ep 3.1 Sample characteristics w Gender n Percent Valid Percent Cumulative Percent Female 135 50.6 50.6 50.6 Male 132 49.4 49.4 100.0 Total 267 100.0 100.0 lo Frequency ad y th Valid ju yi pl Age al Valid Percent 131 49.1 49.1 49.1 50.9 50.9 100.0 267 100.0 100.0 n Total Cumulative Percent 136 va 36-45 n Valid Percent ua 26-35 Frequency fu ll Education oi m Frequency Valid Percent High school and lower 19 7.1 Under - Graduate 106 39.7 Bachelor 134 50.2 50.2 Master 3.0 3.0 Total 267 100.0 100.0 Cumulative Percent 7.1 7.1 at nh 46.8 39.7 z Valid Percent 97.0 z jm ht vb gm Frequency Percent Valid Percent Cumulative Percent 14 5.2 5.2 5.2 24.3 24.3 67.4 67.4 29.6 97.0 Higher 20 million 3.0 3.0 100.0 Total 267 100.0 100.0 n a Lu 65 180 om From to 12 million Higher 12 to 20 million l.c Valid k Income Under million 100.0 Frequency Percent Valid Percent Cumulative Percent 51.3 51.3 38.6 38.6 89.9 Married, no child 27 10.1 10.1 100.0 Total 267 100.0 100.0 th 51.3 103 y 137 te re Single Married, has child n Valid va Family Status 71 t to ng Green home appliances products hi Percent Valid Percent Cumulative Percent Refrigerator 43 16.1 16.1 16.1 Television 74 27.7 27.7 43.8 Washing machine 74 27.7 27.7 71.5 Air condition 65 24.3 24.3 95.9 Microwave 11 4.1 4.1 100.0 Total 267 100.0 100.0 ep Frequency w n Valid lo ad ju y th yi 3.2 Cronbach's aplpha for each constructs pl Reliability Statistics ua al Cronbach's Alpha N of Items 761 n Cronbach's Alpha Based on Standardized Items n va 737 ll fu 27.06 11.594 ATGB02 27.55 14.459 ATGB03 26.77 ATGB04 Squared Multiple Correlation 549 Cronbach's Alpha if Item Deleted 684 047 173 793 13.335 497 709 26.97 13.375 385 348 718 ATGB05 27.22 12.652 457 343 705 ATGB06 27.41 11.168 495 523 697 ATGB07 26.63 12.565 662 ATGB08 26.94 11.249 598 nh 506 at ATGB01 oi m Scale Mean if Item Deleted Item-Total Statistics Scale Variance if Corrected ItemItem Deleted Total Correlation 457 z z jm ht vb 552 672 816 om N of Items l.c gm Cronbach's Alpha Based on Standardized Items 817 680 k Reliability Statistics Cronbach's Alpha 592 n a Lu 4.877 577 465 796 11.13 4.818 604 507 785 GS11 11.21 3.796 747 690 713 GS12 11.09 4.300 635 636 771 th 11.22 GS10 y GS09 te re Cronbach's Alpha if Item Deleted n Squared Multiple Correlation va Scale Mean if Item Deleted Item-Total Statistics Corrected ItemScale Variance Total if Item Deleted Correlation 72 t to ng Reliability Statistics hi ep Cronbach's Alpha Based on Standardized Items Cronbach's Alpha 809 w lo ad Squared Multiple Correlation Cronbach's Alpha if Item Deleted 10.80 4.077 629 443 765 10.82 3.629 711 522 722 11.03 3.266 596 375 791 11.06 3.831 614 381 767 yi pl n ua al GBPV16 ju GBPV15 Scale Mean if Item Deleted y th GBPV14 819 Item-Total Statistics Corrected Scale Variance Item-Total if Item Deleted Correlation n GBPV13 N of Items Cronbach's Alpha N of Items 885 ll fu 883 n va Reliability Statistics Cronbach's Alpha Based on Standardized Items m oi Item-Total Statistics Corrected ItemScale Variance Total if Item Deleted Correlation at nh Scale Mean if Item Deleted Squared Multiple Correlation Cronbach's Alpha if Item Deleted 14.68 5.331 738 601 855 GT18 14.84 5.722 788 689 844 GT19 14.94 5.865 715 582 860 GT20 14.54 6.061 632 GT21 14.88 5.504 738 z GT17 z ht vb 877 578 854 k jm 464 325 206 912 4.402 802 644 733 GCI24 11.56 4.022 792 768 733 GCI25 11.56 4.112 791 760 733 th 6.352 11.79 y 11.79 GCI23 te re GCI22 n Cronbach's Alpha if Item Deleted va Squared Multiple Correlation n Item-Total Statistics Corrected ItemScale Variance Total if Item Deleted Correlation a Lu Scale Mean if Item Deleted 825 om 837 N of Items l.c Cronbach's Alpha gm Reliability Statistics Cronbach's Alpha Based on Standardized Items 73 t to ng 3.3 The first time running factor analysis – eigenvalues (for independent variables) hi ep KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy w n lo Bartlett's Test of Sphericity Approx Chi-Square df 6343.712 300 Sig ad y th 000 Total Variance Explained ju Initial Eigenvalues Rotation Sums of Squared Loadingsa Extraction Sums of Squared Loadings yi Compon ent 748 % of Variance Cumulative % Total pl Total 36.167 36.167 6.501 51.890 3.931 15.724 51.890 5.968 2.237 8.949 1.760 7.039 60.839 2.237 8.949 60.839 6.481 67.878 1.760 7.039 67.878 2.944 1.235 4.939 72.817 1.235 4.939 72.817 1.736 998 3.992 76.810 857 3.429 80.238 754 3.014 83.252 645 2.582 85.834 10 537 2.147 87.981 11 462 1.849 89.829 12 434 1.736 91.566 13 413 1.653 93.219 14 316 1.265 94.484 15 260 1.038 95.523 16 221 883 96.405 17 180 721 97.127 18 146 585 97.712 19 143 571 98.282 20 109 436 98.719 21 097 389 99.108 22 080 320 99.428 23 059 236 99.664 24 049 196 99.860 25 035 140 100.000 ll fu 15.724 n 3.931 Total 9.042 va Cumulative % 36.167 n 36.167 ua 9.042 al % of Variance oi m at nh z z k jm ht vb om l.c gm n a Lu n va y te re th Extraction Method: Principal Component Analysis a When components are correlated, sums of squared loadings cannot be added to obtain a total variance 74 t to Pattern Matrixa ng Component hi 954 GCI24 929 ep GCI25 GCI23 733 n 715 va GT20 770 ua GBPV16 851 al GT19 892 pl GT21 553 yi GT18 555 ju GT17 599 y th GBPV15 ad ATGB06 690 lo GS12 797 n ATGB08 881 w ATGB01 668 662 jm 984 k om l.c gm Extraction Method: Principal Component Analysis Rotation Method: Promax with Kaiser Normalization a Rotation converged in iterations ht ATGB02 824 vb ATGB04 531 z ATGB07 665 z ATGB03 698 at GS11 747 nh ATGB05 oi GS09 832 m GBPV14 835 ll GS10 553 fu GBPV13 713 n GCI22 n a Lu n va y te re th 75 t to ng 3.4 The second time running factor analysis – eigenvalues (for independent variables) hi ep KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy w Bartlett's Test of Sphericity n lo ad df 105 Sig .000 ju Initial Eigenvalues % of Variance yi Total 2792.008 Total Variance Explained y th Compon ent 727 Approx Chi-Square Rotation Sums of Squared Loadingsa Extraction Sums of Squared Loadings Cumulative % Total % of Variance Cumulative % Total 5.578 37.186 37.186 5.578 37.186 37.186 4.415 2.539 16.928 54.114 2.539 16.928 54.114 4.015 1.681 11.205 65.319 1.681 11.205 65.319 3.220 1.358 9.053 74.373 1.358 9.053 74.373 2.691 726 4.838 79.211 654 4.361 83.572 526 3.508 87.080 467 3.113 90.193 346 2.304 92.498 10 336 2.240 94.738 11 243 1.621 96.359 12 215 1.433 97.792 13 171 1.143 98.935 14 109 723 99.658 15 051 342 100.000 pl n ua al n va ll fu oi m at nh z z jm ht vb k Extraction Method: Principal Component Analysis a When components are correlated, sums of squared loadings cannot be added to obtain a total variance om l.c gm n a Lu n va y te re th 76 Pattern Matrixa t to Component ng hi ep GS10 877 GBPV13 807 GBPV14 761 759 ATGB05 731 w GS09 n GT18 926 lo GT17 827 ad GT19 744 973 ju GCI25 807 y th GT21 904 yi GCI24 845 pl GCI23 903 al ATGB03 717 ua ATGB04 688 n ATGB07 n va Extraction Method: Principal Component Analysis Rotation Method: Promax with Kaiser Normalization a Rotation converged in iterations ll fu oi m 3.5 Correlations nh Correlations at GSatistion2 267 ** 200** 000 001 267 267 318** ** 000 N 267 267 ** ** 310 222 000 267 318** Sig (2-tailed) 007 001 000 N 267 267 267 267 n n va ** Correlation is significant at the 0.01 level (2-tailed) 267 a Lu 267 200** om 267 166** Pearson Correlation 000 l.c 000 222 gm Sig (2-tailed) N GConsump2 007 267 Sig (2-tailed) Pearson Correlation GAttitude2 000 267 k Gtrust2 452 000 310 jm Pearson Correlation 267 166** 452 ht N GConsump2 ** vb Sig (2-tailed) GAttitude2 ** z GSatistion2 z Pearson Correlation Gtrust2 y te re th 77 t to ng 3.6 Regression hi ep Model Summary R Model R Square 345 w Adjusted R Square a 119 Std Error of the Estimate 109 94389609 n a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 lo ad ANOVAb y th Model Sum of Squares df Mean Square F Regression 31.683 10.561 Residual 234.317 263 891 266.000 266 ju yi pl Total Sig .000a 11.854 al a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 n ua b Dependent Variable: GConsump2 B t GSatistion2 020 067 Gtrust2 128 065 GAttitude2 284 061 Tolerance VIF 000 1.000 020 295 768 749 1.334 128 1.964 051 788 1.268 284 4.639 000 895 1.117 at 058 Sig nh 3.970E-16 oi Collinearity Statistics Beta m (Constant) Std Error ll Model Standardized Coefficients fu Unstandardized Coefficients n va Coefficientsa z a Dependent Variable: GConsump2 z vb jm ht 3.7 Regression of gender k a Regression of female: gm Model Summary R R Square 336 a Adjusted R Square 113 Std Error of the Estimate 093 93011362 om l.c Model a Lu a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 Mean Square 4.824 Residual 113.330 131 865 Total 127.800 134 001a th a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2, b Dependent Variable: GConsump2 5.576 y 14.471 Sig F te re Regression df n Sum of Squares va Model n ANOVAb 78 t to ng Coefficientsa hi ep B Collinearity Statistics Sig Beta Tolerance VIF 030 080 369 713 GSatistion2 -.031 094 -.032 -.331 741 744 1.344 Gtrust2 176 091 179 1.942 054 797 1.254 261 083 272 3.142 002 904 1.106 w (Constant) lo ad GAttitude2 Dependent Variable: GConsump2 y th a Std Error t n Standardized Coefficients Unstandardized Coefficients Model ju b Regression of male: yi Model Summary pl Model R 133 ua 364 Adjusted R Square al a R Square Std Error of the Estimate 112 96752393 n a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 va 18.303 138.125 F 6.101 128 936 Sig .000a 6.518 131 nh Total Mean Square oi 119.821 m Residual df ll Regression fu Sum of Squares n Model ANOVAb at a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2; b Dependent Variable: GConsump2 z z vb B Std Error 084 GSatistion2 065 096 Gtrust2 078 095 GAttitude2 318 092 Sig Tolerance VIF -.310 757 064 674 501 1.332 077 823 412 773 1.294 305 3.467 001 879 1.138 751 n a Lu a Dependent Variable: GConsump2 t om -.026 Beta l.c (Constant) Collinearity Statistics gm Standardized Coefficients k Model jm Unstandardized Coefficients ht Coefficientsa n va y te re th 79 t to ng hi 3.8 Regression of Age a Regression of Age: ≤ 35 ep Model Summary R w Model n R Square 333 a Adjusted R Square 111 Std Error of the Estimate 090 1.07241714 lo ad a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 y th Model Sum of Squares Regression ju ANOVAb yi Residual pl Total df Mean Square F 18.208 6.069 146.060 127 1.150 164.268 130 Sig .002a 5.277 ua al Coefficientsa n Unstandardized Coefficients Standardized Coefficients B Std Error Collinearity Statistics Beta t Sig n va Model 094 GSatistion2 103 GAttitude2 337 094 759 -.018 -.201 841 829 1.206 102 1.131 260 862 1.161 309 3.582 000 941 1.063 oi 114 117 VIF 307 m -.023 Gtrust2 ll 029 fu (Constant) Tolerance nh a Dependent Variable: GConsump2 at b Regression of Age: > 35 z R Square Adjusted R Square 145 126 81071953 k a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 Std Error of the Estimate jm 381 a ht R vb Model z Model Summary om l.c gm n a Lu n va y te re th 80 t to ng ANOVAb hi Sum of Squares ep Model df Mean Square F 14.719 4.906 Residual 86.759 132 657 101.478 135 w Regression n Total Sig .000a 7.465 lo ad a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 b Dependent Variable: GConsump2 y th Coefficientsa ju Unstandardized Coefficients B (Constant) -.041 GSatistion2 062 Gtrust2 148 GAttitude2 211 Std Error Collinearity Statistics Beta t Sig .070 pl yi Model Standardized Coefficients al 078 ua 081 n 079 Tolerance VIF -.585 560 077 793 429 681 1.468 174 1.832 069 722 1.385 236 2.680 008 835 1.197 va a Dependent Variable: GConsump2 n ll fu oi m 3.9 Regression of family status a Regression of family status: Single nh Model Summary at R Square 584a Std Error of the Estimate Adjusted R Square z R z Model 341 326 57982215 vb a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 Model df Mean Square 7.716 Residual 44.714 133 336 Total 67.862 136 n a Lu a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 b Dependent Variable: GConsump2 000a 22.952 om 23.149 Sig l.c Regression F gm Sum of Squares k jm ht ANOVAb n va y te re th 81 t to Coefficientsa ng hi ep B Std Error 430 054 GSatistion2 341 066 n 067 219 w Gtrust2 lo ad GAttitude2 Collinearity Statistics Beta (Constant) Standardized Coefficients Unstandardized Coefficients Model t Sig Tolerance VIF 8.042 000 430 5.168 000 717 1.395 061 092 1.108 270 718 1.394 050 311 4.404 000 997 1.003 a Dependent Variable: GConsump2 y th b Regression of family status: Married ju Model Summary yi R pl Model R Square 288a Adjusted R Square 083 al Std Error of the Estimate 061 1.08537963 n ua a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 va Sum of Squares df n Model Regression Mean Square F 13.428 4.476 Residual 148.434 126 1.178 Total 161.862 ll fu ANOVAb Sig .012a 3.799 oi m 129 at nh a Predictors: (Constant), GAttitude2, Gtrust2, GSatistion2 b Dependent Variable: GConsump2 z B Std Error Beta t jm Sig .108 GSatistion2 030 129 027 Gtrust2 036 106 033 341 GAttitude2 286 137 252 2.093 VIF 817 528 1.894 734 762 1.312 504 1.985 038 n a Lu 3.10 Mean of Education a Mean of total Education: 267 samples 232 Tolerance 002 om a Dependent Variable: GConsump2 -3.227 l.c -.350 gm (Constant) k Collinearity Statistics ht Model Standardized Coefficients vb Unstandardized Coefficients z Coefficientsa n va y te re th 82 t to ng Descriptive Statistics hi ep N Minimum Maximum Mean Std Deviation GCI23 267 3.78 845 GCI24 267 4.01 954 w 267 4.01 930 267 00 1.00 0712 25758 Valid N (listwise) 267 n GCI25 Intention lo ad y th ju b Mean of Education:Under Bachelor yi Descriptive Statistics pl N Minimum 125 GCI24 Mean Std Deviation 3.61 949 125 3.79 1.057 125 3.81 1.083 00 1.00 0080 08944 n GCI25 Maximum ua al GCI23 125 Valid N (listwise) 125 n va Intention ll fu oi m c Mean of Education: Bachelor and Master Minimum Maximum Mean at N nh Descriptive Statistics Std Deviation 142 z 3.93 711 GCI24 142 4.20 810 GCI25 142 Intention 142 00 1.00 Valid N (listwise) 142 z GCI23 vb 4.18 730 ht 1268 33388 k jm gm om l.c 3.11 Mean of Income a Mean of total Income: 267 samples 845 GCI24 267 4.01 954 GCI25 267 4.01 930 Intention2 267 00 1.00 0974 29703 Valid N (listwise) 267 b Mean of Income: ≤ 12 million th Std Deviation 3.78 y Mean te re Maximum n Minimum 267 va N GCI23 n a Lu Descriptive Statistics 83 t to ng Descriptive Statistics hi ep N Minimum Maximum Mean Std Deviation w n 79 3.52 1.186 GCI24 79 3.58 1.226 GCI25 79 3.59 1.235 Intention2 79 00 1.00 0127 11251 Valid N (listwise) 79 lo GCI23 ad y th ju c Mean of Income: >12 million yi Descriptive Statistics pl Minimum Maximum Mean Std Deviation 188 3.89 623 188 va 4.19 747 GCI25 188 4.18 701 Intention2 188 00 1.00 1330 34046 Valid N (listwise) 188 n GCI24 ua al N GCI23 n ll fu oi m at nh 3.12 Test of assumptions z z k jm ht vb om l.c gm n a Lu n va y te re th Figure 6: Histogram 84 t to ng hi ep w n lo ad ju y th yi pl n ua al n va ll fu oi m at nh Figure 7: Normal P-P Plot z z k jm ht vb om l.c gm n a Lu n va y te re th Figure 8: Scatterplot
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