Recognition of Environmental Policy as a Driver of Eco-innovation

For more info about our services contact : help@bestpfe.com

Table of contents

Chapter 1
Chapter 2
3.1. Summary of key variables before and after merging the datasets
3.1.1. Frequency of adopters and non-adopters according observation periods
3.1.2. Summary statistics on the variables used in the econometric analysis
3.1.2. Aggregated Nace codes according to OECD‘s technology classification
4.1. Estimation Results
4.2. Average Treatment Effect on the Treated (ATT) obtained from PSM and FILM .
4.2. Summary statistics on the choice of variables before and after matching
Chapter 3
3.3. Distribution of Eco-innovators and innovators according to industry classifications
3.4. Summary statistics of the variables used in the econometric analysis
3.4. Descriptive statistics of the regressors for eco-innovators and conventional innovators
4.1. Estimates of the Generalized Tobit Model for eco-innovation
4.2. Estimates of the Generalized Tobit model by group of countries (Western Europe and Mediterranean)
4.2. Estimates of the Generalized Tobit model by group of countries (Eastern Europe and Baltic countries)
Chapter 4
3.3. Taxonomy of Firms (Terms used in this study)
3.4. Summary statistics on the variables used in the empirical estimation
3.4. Summary statistics on the variables used in the estimations by type of eco-innovator .
3.5. Descriptive statistics according to industry affiliations
3.5. Distribution of eco-innovators across industries for each type of eco-innovator .
3.5. Summary statistics for different types of eco-innovators across all manufacturing industries and service sectors
4.1. Marginal effects for the whole sample
4.2. Distribution of innovators across countries
4.2.1. Marginal effects for the Western European group
4.2.1. Marginal effects for the Baltic group
4.2.1. Marginal effects for the Mediterranean group
4.2.1. Marginal effects for the Eastern European group