Correlations and Regression Output 2

8/12/2019 Correlations and Regression Output 2

1/19

Correlations

1. EFFECT OF ENVIRONMENTAL POLICIES ON GREEN STORE DESIGNCorrelations

Explicitdefination ofenvironmental

policy

clear objectivesand long termenvironmental

plans

adopts greenstore design forwaste

reduction

adopt green

store design forenergyconservationand utilization

Explicit defination ofenvironmental policy

Pearson Correlation 1 .468(**) .064 .026

Sig. (2-tailed) .002 .687 .871

N 42 42 42 42

clear objectives and longterm environmental plans

Pearson Correlation .468(**) 1 .538(**) .405(**)

Sig. (2-tailed) .002 .000 .008

N 42 42 42 42

adopts green store designfor waste reduction

Pearson Correlation .064 .538(**) 1 .683(**)

Sig. (2-tailed) .687 .000 .000

N42 42 42 42

adopt green store designfor energy conservationand utilization

Pearson Correlation .026 .405(**) .683(**) 1

Sig. (2-tailed) .871 .008 .000

N 42 42 42 42

** Correlation is significant at the 0.01 level (2-tailed).

2. EFFECT OF GREEN STORE DESIGN ON CUSTOMER PREFERENCECorrelations

adopts greenstore design for

wastereduction

adopt greenstore design for

energyconservationand utilization

preference forgreen

products inpurchasing

adopts green store designfor waste reduction

Pearson Correlation 1 .683(**) .297

Sig. (2-tailed) .000 .056

N 42 42 42

adopt green store designfor energy conservationand utilization

Pearson Correlation .683(**) 1 .180

Sig. (2-tailed) .000 .255

N 42 42 42

preference for greenproducts in purchasing

Pearson Correlation .297 .180 1

Sig. (2-tailed) .056 .255

N42 42 42



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3. GREEN STORE DESIGN AND RECYCLING SYSTEMCorrelations

adopts greenstore design forwaste reduction

adopt green storedesign for energyconservation and

utilizationrecuperation andrecycling system

adopts green store design for

waste reduction

Pearson Correlation 1 .683(**) -.044

Sig. (2-tailed) .000 .781N 42 42 42

adopt green store design forenergy conservation andutilization

Pearson Correlation .683(**) 1 -.071

Sig. (2-tailed).000 .655

N42 42 42

recuperation and recyclingsystem

Pearson Correlation -.044 -.071 1

Sig. (2-tailed) .781 .655

N42 42 42


4. MANAGEMENT SUPPORT AND GMP CONTROL PROCEDEURE

Correlations

well-

defined

environm

ental

responsibi

lites

full-time

employee

s devoted

to

environm

ental

managem

ent

natural

environ

ment

training

program

mes for

manager

s and

employe

es

adopts

green

human

resource

develop

ment

practices

product

planning

and

control

focused

on

reducing

waste

and

optimiza

tion

material

s

exploitat

ion

systems

for

measuring

and

assessing

environm

ental

performa

nce

periodic

elaboratio

n of

environm

ental

reports

regular

voluntary

informati

on about

environm

ental

mangeme

nt to

customers

and

institution

s

environm

ental

emergenc

y plans

well-

defined

environm

ental

responsibi

lites

Pearson

Correlat

ion

1 -.145 -.010 .259 .178 -.295 .036 -.029 -.016

Sig. (2-

tailed)

.359 .948 .098 .259 .058 .819 .853 .921

N 42 42 42 42 42 42 42 42 42

full-time

employees devoted

to

environm

ental

managem

ent

Pearson

Correlation

-.145 1 .801(**) -.104 .280 .196 .664(**) .337(*) .169

Sig. (2-

tailed)

.359 .000 .512 .073 .214 .000 .029 .285

N 42 42 42 42 42 42 42 42 42

natural

environm

Pearson

Correlat

-.010 .801(**) 1 -.111 .224 .104 .607(**) .400(**) .311(*


3/19

ent

training

programm

es for

managers

and

employee

s

ion

Sig. (2-

tailed)

.948 .000 .483 .154 .511 .000 .009 .045

N 42 42 42 42 42 42 42 42 42

adopts

green

human

resource

developm

ent

practices

Pearson

Correlat

ion

.259 -.104 -.111 1 .584(**) -.311(*) -.190 .003 -.104

Sig. (2-

tailed)

.098 .512 .483 .000 .045 .229 .986 .514

N 42 42 42 42 42 42 42 42 42

product

planning

and

control

focused

on

reducing

waste and

optimizati

on

materials

exploitati

on

Pearson

Correlat

ion

.178 .280 .224 .584(**) 1 -.273 .150 .171 .115

Sig. (2-

tailed)

.259 .073 .154 .000 .081 .343 .279 .469

N 42 42 42 42 42 42 42 42 42

systems

for

measuring

and

assessing

environm

ental

performa

nce

Pearson

Correlat

ion

-.295 .196 .104 -.311(*) -.273 1 .058 -.105 .174

Sig. (2-

tailed)

.058 .214 .511 .045 .081 .716 .510 .269

N 42 42 42 42 42 42 42 42 42

periodic

elaboratio

n of

environm

ental

reports

Pearson

Correlat

ion

.036 .664(**) .607(**) -.190 .150 .058 1 .247 .371(*

Sig. (2-

tailed)

.819 .000 .000 .229 .343 .716 .115 .016

N 42 42 42 42 42 42 42 42 42

regular

voluntary

informati

on about

environm

ental

mangement to

customers

and

institution

s

Pearson

Correlat

ion

-.029 .337(*) .400(**) .003 .171 -.105 .247 1 .050

Sig. (2-

tailed)

.853 .029 .009 .986 .279 .510 .115 .754

N 42 42 42 42 42 42 42 42 42

environm

ental

emergenc

Pearson

Correlat

ion

-.016 .169 .311(*) -.104 .115 .174 .371(*) .050 1


4/19

y plans Sig. (2-

tailed)

.921 .285 .045 .514 .469 .269 .016 .754

N 42 42 42 42 42 42 42 42 42


* Correlation is significant at the 0.05 level (2-tailed).

5.GMP CONTROL PROCEDURE AND RECYCLING

Correlations

productplanning and

control focusedon reducingwaste and

optimizationmaterials

exploitation

systems formeasuring and

assessingenvironmentalperformance

periodicelaboration ofenvironmental

reports

regularvoluntary

informationabout

environmentalmangement tocustomers and

institutions

recupeand rec

syst

product planning andcontrol focused on reducing

waste and optimizationmaterials exploitation

Pearson Correlation1 -.273 .150 .171

Sig. (2-tailed) .081 .343 .279

N42 42 42 42

systems for measuring andassessing environmentalperformance

Pearson Correlation -.273 1 .058 -.105

Sig. (2-tailed).081 .716 .510

N42 42 42 42

periodic elaboration ofenvironmental reports

Pearson Correlation .150 .058 1 .247

Sig. (2-tailed) .343 .716 .115

N42 42 42 42

regular voluntaryinformation aboutenvironmental mangementto customers andinstitutions

Pearson Correlation .171 -.105 .247 1

Sig. (2-tailed) .279 .510 .115

N42 42 42 42

recuperation and recyclingsystem

Pearson Correlation .225 -.034 .139 .301

Sig. (2-tailed) .151 .833 .381 .052

N 42 42 42 42


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6.GMP CONTROL PROCEDURE AND CLEANER TRANSPORTATION

Correlations

productplanning and

control focusedon reducingwaste and

optimizationmaterialsexploitation

systems formeasuring and

assessingenvironmentalperformance

periodic

elaboration ofenvironmentalreports

regularvoluntary

informationabout

environmental

mangement tocustomers andinstitutions

select

cleatranspometh

product planning andcontrol focused on reducingwaste and optimizationmaterials exploitation

Pearson Correlation1 -.273 .150 .171

Sig. (2-tailed).081 .343 .279

N42 42 42 42

systems for measuring andassessing environmentalperformance

Pearson Correlation -.273 1 .058 -.105

Sig. (2-tailed).081 .716 .510

N42 42 42 42

periodic elaboration ofenvironmental reports

Pearson Correlation .150 .058 1 .247 Sig. (2-tailed) .343 .716 .115

N42 42 42 42

regular voluntaryinformation aboutenvironmental mangementto customers andinstitutions

Pearson Correlation .171 -.105 .247 1

Sig. (2-tailed) .279 .510 .115

N42 42 42 42

selection of cleanertransportation methods

Pearson Correlation .350(*) -.030 .315(*) .062

Sig. (2-tailed) .023 .850 .042 .696

N 42 42 42 42


7.EFFECT OF POLICY ON GREEN TECHNOLOGY

Correlations

Explicit

defination

of

environme

ntal policy

clear

objectives

and long

term

environme

ntal plans

sponsering of

environmental

events/collbor

ation with

ecological

organization

risposab

le

disposal

of waste

and

residues

(separat

ion and

preprati

on)

acquisition of

clean

technology/equi

pment

emissi

on

filters

and

end-

of-

pipe

contro

l

enhance

water

and

energy

conservat

ion

reduc

es

green

house

gas

emiss

on

Explicit

defination of

environmental

policy

Pearson

Correlat

ion

1 .468(**) .279 .336(*) .483(**) .235 .244 .090

Sig. (2-

tailed)

.002 .074 .029 .001 .134 .119 .573

N 42 42 42 42 42 42 42 42

clear objectives

and long term

Pearson

Correlat

.468(**) 1 .160 .652(**) .420(**) .409(*

*)

.717(**) .575(*

*


6/19

environmental

plans

ion

Sig. (2-

tailed)

.002 .310 .000 .006 .007 .000 .000

N 42 42 42 42 42 42 42 42

sponsering of

environmental

events/collborati

on with

ecological

organization

Pearson

Correlat

ion

.279 .160 1 .104 .338(*) .113 .019 .045

Sig. (2-

tailed)

.074 .310 .511 .029 .477 .906 .777

N 42 42 42 42 42 42 42 42

risposable

disposal of waste

and residues

(separation and

prepration)

Pearson

Correlat

ion

.336(*) .652(**) .104 1 .284 .291 .640(**) .563(*

*

Sig. (2-

tailed)

.029 .000 .511 .068 .062 .000 .000

N 42 42 42 42 42 42 42 42

acquisition of

clean

technology/equi

pment

Pearson

Correlat

ion

.483(**) .420(**) .338(*) .284 1 .329(*

)

.354(*) .149

Sig. (2-

tailed)

.001 .006 .029 .068 .033 .022 .346

N 42 42 42 42 42 42 42 42

emission filters

and end-of-pipe

control

Pearson

Correlat

ion

.235 .409(**) .113 .291 .329(*) 1 .269 .487(*

*

Sig. (2-

tailed)

.134 .007 .477 .062 .033 .084 .001

N 42 42 42 42 42 42 42 42

enhance water

and energy

conservation

Pearson

Correlat

ion

.244 .717(**) .019 .640(**) .354(*) .269 1 .357(*

Sig. (2-

tailed)

.119 .000 .906 .000 .022 .084 .020

N 42 42 42 42 42 42 42 42

reduces green

house gas

emission

Pearson

Correlat

ion

.090 .575(**) .045 .563(**) .149 .487(*

*)

.357(*) 1

Sig. (2-

tailed)

.573 .000 .777 .000 .346 .001 .020

N 42 42 42 42 42 42 42 42




7/19

8.EFFECT Of GREEN TECH. ON PRODUCT DEVELOPMENT

Correlations

acquisition of

clean

technology/equi

pment

emissi

on

filters

and

end-

of-

pipe

contr

ol

enhance

water

and

energy

conserva

tion

reduc

es

green

house

gas

emissi

on

substitutio

n of

polluting

an

hazardous

materials/

parts

design

focussed

on

reducing

resource

consump

tion and

waste

generati

on in

product

usage

design

for

dissemb

ly,

resusab

ility and

recylabi

lity

desigs

focused

on

reducing

resource

consump

tion and

waste

generati

on

during

producti

on and

distributi

on

green

procure

ment

acquisition of

clean

technology/equi

pment

Pearson

Correlat

ion

1 .329(*

)

.354(*) .149 .512(**) -.381(*) -.076 .090 .441(**

Sig. (2-

tailed)

.033 .022 .346 .001 .013 .633 .569 .003

N 42 42 42 42 42 42 42 42 42

emission filters

and end-of-pipe

control

Pearson

Correlat

ion

.329(*) 1 .269 .487(*

*)

.058 .224 .190 .114 .266

Sig. (2-

tailed)

.033 .084 .001 .717 .155 .229 .474 .088

N 42 42 42 42 42 42 42 42 42

enhance water

and energy

conservation

Pearson

Correlat

ion

.354(*) .269 1 .357(*

)

.317(*) .013 .122 .274 .523(**

Sig. (2-

tailed)

.022 .084 .020 .041 .933 .440 .079 .000

N 42 42 42 42 42 42 42 42 42

reduces greenhouse gas

emission

PearsonCorrelat

ion

.149 .487(**)

.357(*) 1 .347(*) .184 -.157 .262 .345(*

Sig. (2-

tailed)

.346 .001 .020 .025 .243 .322 .094 .025

N 42 42 42 42 42 42 42 42 42

substitution of

polluting an

hazardous

materials/parts

Pearson

Correlat

ion

.512(**) .058 .317(*) .347(*

)

1 -.188 -.135 .290 .571(**

Sig. (2-

tailed)

.001 .717 .041 .025 .233 .393 .063 .000

N 42 42 42 42 42 42 42 42 42

design focussed

on reducingresource

consumption

and waste

generation in

product usage

Pearson

Correlation

-.381(*) .224 .013 .184 -.188 1 .413(**) .617(**) .155

Sig. (2-

tailed)

.013 .155 .933 .243 .233 .007 .000 .327

N 42 42 42 42 42 42 42 42 42

design for

dissembly,

resusability and

Pearson

Correlat

ion

-.076 .190 .122 -.157 -.135 .413(**) 1 .262 .319(*


8/19

recylability Sig. (2-

tailed)

.633 .229 .440 .322 .393 .007 .094 .040

N 42 42 42 42 42 42 42 42 42

desigs focused

on reducing

resource

consumption

and waste

generation

during

production and

distribution

Pearson

Correlat

ion

.090 .114 .274 .262 .290 .617(**) .262 1 .463(**

Sig. (2-

tailed)

.569 .474 .079 .094 .063 .000 .094 .002

N 42 42 42 42 42 42 42 42 42

green

procurement

Pearson

Correlat

ion

.441(**) .266 .523(**) .345(*

)

.571(**) .155 .319(*) .463(**) 1

Sig. (2-

tailed)

.003 .088 .000 .025 .000 .327 .040 .002

N 42 42 42 42 42 42 42 42 42



9.Influence of eco advertising & product development on customer preference

Correlations

environmentalarguments in

marketing

recyclable orreusable

packaging orcontainer in

logistics

ecologicalmaterials for

primarypackaging

greenpackaging

preference forgreen

products inpurchasing

environmental argumentsin marketing

Pearson Correlation 1 .142 .369(*) .268 -.017

Sig. (2-tailed) .369 .016 .086 .916

N 42 42 42 42 42

recyclable or reusablepackaging or container inlogistics

Pearson Correlation .142 1 .603(**) .711(**) .025Sig. (2-tailed) .369 .000 .000 .876

N 42 42 42 42 42

ecological materials forprimary packaging

Pearson Correlation .369(*) .603(**) 1 .639(**) .062

Sig. (2-tailed) .016 .000 .000 .694

N42 42 42 42 42

green packaging Pearson Correlation .268 .711(**) .639(**) 1 .152

Sig. (2-tailed) .086 .000 .000 .337

N 42 42 42 42 42

preference for green

products in purchasing

Pearson Correlation -.017 .025 .062 .152 1

Sig. (2-tailed) .916 .876 .694 .337

N 42 42 42 42 42

* Correlation is significant at the 0.05 level (2-tailed).** Correlation is significant at the 0.01 level (2-tailed).


9/19

10.the influence of policy in supplier selection (GSCM green supply chain mgt)

Correlations

Explicit

definationof

environmental policy

clearobjectives

and longterm

environmental plans

sponseringof

environmental

events/collboration

withecologicalorganizatio

n

risposabledisposalof waste

andresidues

(separation and

prepration)

environmental criteriain supplierselection

shipmentsconsolidati

on

supplierand NGO

cooperation in

carbonlabeling

Explicit defination ofenvironmentalpolicy

PearsonCorrelation

1 .468(**) .279 .336(*) .172 .034 -.280

Sig. (2-tailed) .002 .074 .029 .275 .829 .073

N 42 42 42 42 42 42 42

clear objectives andlong termenvironmentalplans

PearsonCorrelation

.468(**) 1 .160 .652(**) .115 .042 -.149

Sig. (2-tailed) .002 .310 .000 .467 .792 .346

N 42 42 42 42 42 42 42

sponsering of

environmentalevents/collborationwith ecologicalorganization

Pearson

Correlation.279 .160 1 .104 -.043 -.051 .021

Sig. (2-tailed) .074 .310 .511 .787 .750 .896

N

42 42 42 42 42 42 42

risposable disposalof waste andresidues(separation andprepration)

PearsonCorrelation

.336(*) .652(**) .104 1 -.130 -.061 -.044

Sig. (2-tailed) .029 .000 .511 .412 .703 .781

N 42 42 42 42 42 42 42

environmentalcriteria in supplierselection

PearsonCorrelation

.172 .115 -.043 -.130 1 .844(**) .298

Sig. (2-tailed).275 .467 .787 .412 .000 .056N 42 42 42 42 42 42 42

shipmentsconsolidation

PearsonCorrelation

.034 .042 -.051 -.061 .844(**) 1 .422(**)

Sig. (2-tailed) .829 .792 .750 .703 .000 .005

N 42 42 42 42 42 42 42

supplier and NGOcooperation incarbon labeling

PearsonCorrelation

-.280 -.149 .021 -.044 .298 .422(**) 1

Sig. (2-tailed) .073 .346 .896 .781 .056 .005

N 42 42 42 42 42 42 42

** Correlation is significant at the 0.01 level (2-tailed).* Correlation is significant at the 0.05 level (2-tailed).


10/19

11.management support leading to better eco product developmentCorrelations

well-defined

environmental

responsibilites

full-time

employees devotedto

environmental

management

naturalenvironme

nt trainingprogrammes for

managersand

employees

adoptsgreenhuman

resourcedevelopm

entpractices

substitution ofpolluting

anhazardousmaterials/

parts

designfocussed

onreducingresource

consumption andwaste

generation in

productusage

desigsfocused

onreducingresource

consumption and

wastegeneration during

productionand

distribution

des

fodissy

resuty a

recyy

well-definedenvironmentalresponsibilites

PearsonCorrelation

1 -.145 -.010 .259 .081 .256 -.009

Sig. (2-tailed) .359 .948 .098 .608 .102 .957

N 42 42 42 42 42 42 42

full-timeemployeesdevoted to

environmentalmanagement

PearsonCorrelation

-.145 1 .801(**) -.104 -.012 -.081 -.037

Sig. (2-tailed).359 .000 .512 .941 .611 .818

N42 42 42 42 42 42 42

naturalenvironmenttrainingprogrammes formanagers andemployees

PearsonCorrelation

-.010 .801(**) 1 -.111 .125 -.120 .010

Sig. (2-tailed) .948 .000 .483 .431 .450 .950

N

42 42 42 42 42 42 42

adopts greenhuman resourcedevelopmentpractices

PearsonCorrelation

.259 -.104 -.111 1 .348(*) .253 .440(**)

Sig. (2-tailed) .098 .512 .483 .024 .106 .004

N 42 42 42 42 42 42 42

substitution ofpolluting anhazardousmaterials/parts

PearsonCorrelation

.081 -.012 .125 .348(*) 1 -.188 .290

Sig. (2-tailed) .608 .941 .431 .024 .233 .063

N 42 42 42 42 42 42 42

design focussedon reducingresourceconsumption andwaste generationin product usage

PearsonCorrelation

.256 -.081 -.120 .253 -.188 1 .617(**) .41

Sig. (2-tailed) .102 .611 .450 .106 .233 .000

N42 42 42 42 42 42 42

desigs focused onreducing resourceconsumption andwaste generation

during productionand distribution

PearsonCorrelation

-.009 -.037 .010 .440(**) .290 .617(**) 1

Sig. (2-tailed) .957 .818 .950 .004 .063 .000

N 42 42 42 42 42 42 42

design fordissembly,resusability andrecylability

PearsonCorrelation

.101 -.187 -.269 .189 -.135 .413(**) .262

Sig. (2-tailed) .526 .237 .085 .231 .393 .007 .094

N 42 42 42 42 42 42 42

** Correlation is significant at the 0.01 level (2-tailed).* Correlation is significant at the 0.05 level (2-tailed).


11/19

Regression

1.EFFECT OF GREEN TECHNOLOGY, POLICIES AND ECO ADVERTISING ON CUSTOMER

PREFERENCEVariables Entered/Removed(b)

Model VariablesEntered VariablesRemoved Method

1

enhancewater andenergyconservation,environmentalargumentsinmarketing,

Explicitdefination ofenvironmental policy,emissionfilters andend-of-pipecontrol,acquisitionof cleantechnology/equipment,reducesgreenhouse gas

emission,greenpackaging,clearobjectivesand longtermenvironmental plans(a)

. Enter

a All requested variables entered.b Dependent Variable: preference for green products in purchasing

Model Summary

Model R R SquareAdjusted R

SquareStd. Error ofthe Estimate

1 .742(a) .551 .442 1.080

a Predictors: (Constant), enhance water and energy conservation, environmental arguments in marketing, Explicit defination ofenvironmental policy, emission filters and end-of-pipe control, acquisition of clean technology/equipment, reduces green house gasemission, green packaging, clear objectives and long term environmental plans


12/19

ANOVA(b)

ModelSum of

Squares df Mean Square F Sig.

1 Regression 47.136 8 5.892 5.052 .000(a)

Residual 38.484 33 1.166

Total 85.619 41

a Predictors: (Constant), enhance water and energy conservation, environmental arguments in marketing, Explicit defination ofenvironmental policy, emission filters and end-of-pipe control, acquisition of clean technology/equipment, reduces green house gas

emission, green packaging, clear objectives and long term environmental plansb Dependent Variable: preference for green products in purchasing

Coefficients(a)

Model

UnstandardizedCoefficients

StandardizedCoefficients

t Sig.B Std. Error Beta

1 (Constant) -.659 1.025 -.643 .525

Explicit defination ofenvironmental policy .515 .254 .304 2.026 .051

clear objectives and longterm environmental plans .781 .309 .604 2.528 .016

environmental argumentsin marketing .063 .146 .063 .430 .670

green packaging -.871 .300 -.574 -2.905 .007

acquisition of cleantechnology/equipment -.172 .242 -.112 -.710 .483

reduces green house gasemission -.133 .182 -.132 -.734 .468

emission filters and end-of-pipe control -.044 .173 -.037 -.256 .800

enhance water and energyconservation .687 .280 .455 2.456 .019

a Dependent Variable: preference for green products in purchasing


13/19

2. Effect Of Policies and Management Support On Eco Advertising

Variables Entered/Removed(b)

ModelVariablesEntered

VariablesRemoved Method

1

full-timeemployeesdevoted toenvironmentalmanagement, Explicitdefination ofenvironmental policy,well-definedenvironmentalresponsibilites, clear

objectivesand longtermenvironmental plans(a)

. Enter

a All requested variables entered.b Dependent Variable: environmental arguments in marketing

Model Summary



1 .332(a) .110 .014 1.435

a Predictors: (Constant), full-time employees devoted to environmental management, Explicit defination of environmental policy, well-defined environmental responsibilites, clear objectives and long term environmental plans

ANOVA(b)

ModelSum of


1 Regression 9.455 4 2.364 1.148 .349(a)

Residual 76.188 37 2.059

Total 85.643 41

a Predictors: (Constant), full-time employees devoted to environmental management, Explicit defination of environmental policy, well-defined environmental responsibilites, clear objectives and long term environmental plansb Dependent Variable: environmental arguments in marketing


14/19

Coefficients(a)

Model




1 (Constant) -.258 1.336 -.193 .848

Explicit defination of

environmental policy .335 .309 .198 1.084 .285clear objectives and longterm environmental plans -.197 .313 -.153 -.631 .532

well-defined environmentalresponsibilites .459 .286 .342 1.604 .117

full-time employeesdevoted to environmentalmanagement

.124 .151 .143 .823 .416

a Dependent Variable: environmental arguments in marketing

3. EFFECT OF POLICIES AND MANAGEMENT SUPPORT ON GMP CONTROL PROCEDURE




1

full-timeemployeesdevoted to

environmentalmanagement, Explicitdefination ofenvironmental policy,well-definedenvironmentalresponsibilites, clearobjectivesand longterm

environmental plans(a)

. Enter

a All requested variables entered.b Dependent Variable: periodic elaboration of environmental reports


15/19

Model Summary



1 .681(a) .464 .406 .867

a Predictors: (Constant), full-time employees devoted to environmental management, Explicit defination of environmental policy, well-defined environmental responsibilites, clear objectives and long term environmental plans

ANOVA(b)

ModelSum of


1 Regression 24.083 4 6.021 8.007 .000(a)

Residual 27.822 37 .752

Total 51.905 41

a Predictors: (Constant), full-time employees devoted to environmental management, Explicit defination of environmental policy, well-defined environmental responsibilites, clear objectives and long term environmental plansb Dependent Variable: periodic elaboration of environmental reports

Coefficients(a)

Model

Unstandardized

Coefficients

Standardized

Coefficients


1 (Constant) .514 .808 .637 .528

Explicit defination ofenvironmental policy -.083 .187 -.063 -.443 .660

clear objectives and longterm environmental plans -.024 .189 -.024 -.126 .900

well-defined environmentalresponsibilites .173 .173 .165 .999 .324

full-time employeesdevoted to environmental

management

.463 .091 .686 5.076 .000

a Dependent Variable: periodic elaboration of environmental reports

4.EFFECT OF POLICIES ON TRANSPORTATION




1

clearobjectivesand longtermenvironmental plans,Explicitdefination ofenvironmental policy(a)

. Enter


16/19

a All requested variables entered.b Dependent Variable: selection of cleaner transportation methods

Model Summary



1 .426(a) .181 .139 .865

a Predictors: (Constant), clear objectives and long term environmental plans, Explicit defination of environmental policy

ANOVA(b)

ModelSum of


1 Regression 6.458 2 3.229 4.319 .020(a)

Residual 29.161 39 .748

Total 35.619 41

a Predictors: (Constant), clear objectives and long term environmental plans, Explicit defination of environmental policyb Dependent Variable: selection of cleaner transportation methods

Coefficients(a)

Model

UnstandardizedCoefficients StandardizedCoefficients


1 (Constant) 3.549 .681 5.210 .000

Explicit defination ofenvironmental policy -.354 .179 -.325 -1.980 .055

clear objectives and longterm environmental plans .389 .137 .466 2.845 .007

a Dependent Variable: selection of cleaner transportation methods


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5.EFFECT OF POLICIES AND MGT SUPPORT ON GMP CONTROL PROCEDURE




1

full-timeemployeesdevoted toenvironmentalmanagement, Explicitdefination ofenvironmental policy,well-definedenvironmentalresponsibilites(a)

. Enter

a All requested variables entered.b Dependent Variable: systems for measuring and assessing environmental performance

Model Summary



1 .333(a) .111 .041 1.013

a Predictors: (Constant), full-time employees devoted to environmental management, Explicit defination of environmental policy, well-

defined environmental responsibilites

ANOVA(b)

ModelSum of


1 Regression 4.875 3 1.625 1.582 .210(a)

Residual 39.029 38 1.027

Total 43.905 41

a Predictors: (Constant), full-time employees devoted to environmental management, Explicit defination of environmental policy, well-defined environmental responsibilitesb Dependent Variable: systems for measuring and assessing environmental performance


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Coefficients(a)

Model




1 (Constant) 3.077 .934 3.295 .002

Explicit defination ofenvironmental policy .022 .191 .018 .117 .907

well-defined environmentalresponsibilites -.265 .152 -.276 -1.742 .090

full-time employeesdevoted to environmentalmanagement

.098 .096 .157 1.016 .316

a Dependent Variable: systems for measuring and assessing environmental performance

6.Regression




1

greenpackaging,environmentalargumentsinmarketing,ecological

materials forprimarypackaging,recyclableor reusablepackagingor containerinlogistics(a)

. Enter

a All requested variables entered.b Dependent Variable: preference for green products in purchasing

Model Summary



1 .205(a) .042 -.062 1.489

a Predictors: (Constant), green packaging, environmental arguments in marketing, ecological materials for primary packaging,recyclable or reusable packaging or container in logistics


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ANOVA(b)

ModelSum of


1 Regression 3.583 4 .896 .404 .805(a)

Residual 82.036 37 2.217

Total 85.619 41

a Predictors: (Constant), green packaging, environmental arguments in marketing, ecological materials for primary packaging,recyclable or reusable packaging or container in logistics

b Dependent Variable: preference for green products in purchasing

Coefficients(a)

Model




1 (Constant) 2.424 1.011 2.397 .022

environmental argumentsin marketing -.074 .175 -.074 -.420 .677

recyclable or reusablepackaging or container inlogistics

-.250 .337 -.179 -.742 .463

ecological materials forprimary packaging .012 .251 .011 .049 .961

green packaging .443 .378 .292 1.174 .248

a Dependent Variable: preference for green products in purchasing

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Correlations and Regression Output 2