Page 170 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 170
In Pursuit of Eco-innovation
SRMR = 0.196; RMSEA = 0.276. We can see that NFI, NNFI and CFI
showed good fit, while RMSEA and SRMR showed worse fit.
170
Figure 9: Diagram of construct Economic incentive instrument with the standardized so-
lution
Note: Measurement items: Q3E = The government provides preferential subsidy on envi-
ronmental innovation (availability of government grants, subsidies or other financial incentives
for environmental innovation); Q3F = The government provides preferential tax policy on en-
vironmental innovation: Q3H = The government promotes environmental protection; Chi-
-square = 17.879; p = 0.00; Goodness-of-fit indexes: NFI = 0.945; NNFI = 0.843; CFI = 0.948;
SRMR = 0.196; RMSEA = 0.276; Reliability coefficients: Cronbach’s alpha = 0.838; RHO =
0.800; Internal consistency reliability = 1.000.
Customer demand
Moreover, Table 36 illustrates the level of respondents’ agreement with
statements related to the driver customer demand. We can see that re-
spondents, on average, agreed to the greatest extent with the statement
“The environment is a critical issue for our important customers” (mean
value 4.69 on a seven-point Likert scale), while they agreed the least with
the statement “Our customers have clear demands regarding environ-
mental issues” (M = 4.24). We can see that all four statements concerning
customer demand are above the central anchor, reflecting the importance
of customer demand pertaining to eco-innovations and environmental
issues.
SRMR = 0.196; RMSEA = 0.276. We can see that NFI, NNFI and CFI
showed good fit, while RMSEA and SRMR showed worse fit.
170
Figure 9: Diagram of construct Economic incentive instrument with the standardized so-
lution
Note: Measurement items: Q3E = The government provides preferential subsidy on envi-
ronmental innovation (availability of government grants, subsidies or other financial incentives
for environmental innovation); Q3F = The government provides preferential tax policy on en-
vironmental innovation: Q3H = The government promotes environmental protection; Chi-
-square = 17.879; p = 0.00; Goodness-of-fit indexes: NFI = 0.945; NNFI = 0.843; CFI = 0.948;
SRMR = 0.196; RMSEA = 0.276; Reliability coefficients: Cronbach’s alpha = 0.838; RHO =
0.800; Internal consistency reliability = 1.000.
Customer demand
Moreover, Table 36 illustrates the level of respondents’ agreement with
statements related to the driver customer demand. We can see that re-
spondents, on average, agreed to the greatest extent with the statement
“The environment is a critical issue for our important customers” (mean
value 4.69 on a seven-point Likert scale), while they agreed the least with
the statement “Our customers have clear demands regarding environ-
mental issues” (M = 4.24). We can see that all four statements concerning
customer demand are above the central anchor, reflecting the importance
of customer demand pertaining to eco-innovations and environmental
issues.
