2018
DOI: 10.1016/j.enpol.2017.11.049
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How different policy instruments affect green product innovation: A differentiated perspective

Abstract: Based on representative firm-level data for the three countries Austria, Germany, and Switzerland, we investigate the effects of energy-related regulations, taxes, voluntary agreements, and subsidies on the creation of green energy products, and analyze through which channels policy affects green product innovation and which factors mediate the observed effects. Policy may affect green product innovation by directly stimulating the supply of green products/services, or more indirectly by stimulating the demand… Show more

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Cited by 202 publications
(102 citation statements)
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“…The concerns of the firms for the environment has made the green product innovation becoming more importance, lots of scholars have investigated the organizational factors that affect green product innovation (Dangelico et al, ; Stucki, Woerter, Arvanitis, Peneder, & Rammer, ; Zhao, Feng, & Shi, ). Studies have examined, market demand, external involvement, legislation, knowledge (Zhao et al, ), interfunctional collaboration (Aschehoug, Boks, & Støren, ; Jabbour, Santos, Fonseca, & Nagano, ), innovation‐oriented learning (De Medeiros et al, ), and creative thinking (Awan, Sroufe, & Kraslawski, ).…”
Section: Introductionmentioning
confidence: 99%
“…The concerns of the firms for the environment has made the green product innovation becoming more importance, lots of scholars have investigated the organizational factors that affect green product innovation (Dangelico et al, ; Stucki, Woerter, Arvanitis, Peneder, & Rammer, ; Zhao, Feng, & Shi, ). Studies have examined, market demand, external involvement, legislation, knowledge (Zhao et al, ), interfunctional collaboration (Aschehoug, Boks, & Støren, ; Jabbour, Santos, Fonseca, & Nagano, ), innovation‐oriented learning (De Medeiros et al, ), and creative thinking (Awan, Sroufe, & Kraslawski, ).…”
Section: Introductionmentioning
confidence: 99%
“…A crucial benefit over the CIS is that it additionally gathers information about the firm-specific usage of digital technologies as well as novel organizational practices-both of which play a key role here. The survey procedure employs the following mechanisms to enhance the representativeness of the sample and the accuracy of responses (see, e.g., Arvanitis et al, 2017;Siegenthaler & Stucki, 2015;Stucki, Woerter, Arvanitis, Peneder, & Rammer, 2018): First, comparable to other KOF surveys, the KOF Innovation Surveys are sent in written form to the executive board and the paper-based form also allows them to handover parts of the survey to the respective field experts, which promotes the likelihood of accurate replies (cf., e.g., Stucki et al, 2018). Second, the samples employ a stratification procedure with 29 industries as well as three different groups of company sizes (specific to each industry) that entirely cover large firms (cf., e.g., Siegenthaler & Stucki, 2015).…”
Section: Descriptions Of the Datamentioning
confidence: 99%
“… 6

Publicly available data is not sufficient to identify the relative effects of different policies. It need survey data for at least two reasons (see Stucki et al 2016). First, to get a complete picture, all relevant policies would need to be identified, which is hardly possible as they can be firm/sector- and technology-specific.

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Section: Survey and Data Descriptionmentioning
confidence: 99%