Environmental protection, innovation and price-setting behavior in Spanish manufacturing firms

Miguel, Carlos de; Pazó, Consuelo

doi:10.1016/j.eneco.2017.10.030

Cited by 27 publications

(8 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the emergence of the Porter Hypothesis, the relationship between environmental regulations (ERs) and technological innovation has received wide attention from researchers over the last two decades [1][2][3]. To investigate the role of regulation, scholars have carried out a great deal of studies, upon which no consensus has been reached yet, as scholars continue to find conflicting evidence [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…Third, for all we know, this study is the first empirical measurement of technological innovation efficiency through the game cross-efficiency DEA model. There are two reasons for using this model: (1) In the traditional DEA model, if the decision-making units (DMUs) are effective, their efficiency scores are 1, which leads to unavailable discrimination of the DMUs. (2) The improved cross-efficiency DEA model takes into account the game relationship between DMUs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis

et al. 2019

View full text Add to dashboard Cite

China’s traditional industrial model is characterized by high energy consumption and high pollution, which results in many environmental problems that cannot be ignored. To achieve sustainable development, the Chinese government has proposed five development concepts of “innovation, coordination, green, openness, and sharing”. This initiative highlights the urgency of China’s efforts to strengthen environmental regulation. Based on the panel data of industrial enterprises in China from 2006 to 2015, this study not only investigates the spatial features of technological innovation efficiency, but also examines the relationship between technology innovation efficiency and environmental regulations from a spatial perspective. The results indicate that first, China’s provincial-level technological innovation efficiencies are uneven in space. Second, voluntary regulation positively affects the technological innovation efficiency of industrial enterprises at the provincial level, while mandatory regulation has no significant impact. Third, there is a spatial spillover effect in voluntary regulation at the provincial level. One highlight implication is that the government should promulgate environmental regulations based on each province’s technological innovation potential, due to the spatial differences in technological innovation activities.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Technical innovation is key to achieve green growth by creating more efficiency in the utilization of resources, reducing waste and energy consumption, and creating the highest value [7,8]. More countries nowadays look to ensure sustainable economic growth and industrial technological innovation development within an environmentally viable framework to achieve green growth [9,10].…”

Section: Introductionmentioning

confidence: 99%

Has the High-Tech Industry along the Belt and Road in China Achieved Green Growth with Technological Innovation Efficiency and Environmental Sustainability?

Zhang

et al. 2019

IJERPH

View full text Add to dashboard Cite

From the perspective of green growth, which seeks to coordinate and make sustainable the development of resources, the environment, and the economy, this study’s aim was to find out whether the high-tech industry along the Belt and Road (B&R) is sustainable and effective in using resources, reducing environmental pollution, and increasing performance. This study used panel data covering 16 provinces (municipalities) along the B&R in China between 2009 and 2016. This study used the directional distance function (DDF) and the global Malmquist–Luenberger (GML) index model to analyze the technological innovation efficiency (TIE) of the high-tech industry (HTI) while considering the undesirable output (environmental pollution). Further, supplemented by ArcGIS geographical analysis, this study carried out a comparative analysis of the TIE and its decomposition in the HTI along the B&R from geographical and time-series dimensions. Moreover, the panel Tobit regression model was used to analyze the influencing factors of TIE. The results show that the direct financial support of the government has no impact on the improvement of TIE in the HTI, the government’s regulation of environmental pollution can significantly affect the improvement of the TIE, the intensity of R&D has a significantly negative impact on the TIE, a higher level of R&D personnel in the HTI can be helpful in improving TIE, and increasing the import and export trade volumes of the HTI can promote TIE.

show abstract

“…Kneller and Manderson (2012) used data from the UK manufacturing industry. They indicated that there was no positive impact of environmental regulation on total R&D or total capital accumulation, and environmental R&D may crowd out non-environmental R&D. Miguel and Pazo (2017) found that environmental regulations in Spain positively impacted process innovation only in large firms while it positively impacted product innovation exclusively in small firms (up to 200 workers). Qiu et al(2018) revisited the PH under monopolistic competition and found that the growth of innovation investment only held for high-capability firms and increased the average industry productivity.…”

Section: The Impact Of Environmental Legislation On Green Innovationmentioning

confidence: 99%

Urban Environmental Legislation and Green Innovation

Zhang¹,

Han²,

Shao³

2021

Preprint

View full text Add to dashboard Cite

With the panel data of 218 prefecture-level cities from 2003 to 2017, this paper empirically tested whether urban environmental legislation realized Porter Hypothesis(PH) in China. After a series of model estimation and robustness tests, the results show that urban environmental legislation increased the number of local green patents, which means that the weak Porter Hypothesis was established. However, the urban environmental legislation did not lead to an increase in green total factor productivity(GTFP). In other words, the strong version of PH did not hold. Further analysis shows that urban environmental legislation led to the decline of GTFP and the increase of green patents in the west of China, but not in the east and central cities. Besides, the legislation did not promote GTFP improvement through green innovation in the short term, which means it did not realize process compensation.

show abstract

Environmental protection, innovation and price-setting behavior in Spanish manufacturing firms

Cited by 27 publications

References 29 publications

Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis

Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis

Has the High-Tech Industry along the Belt and Road in China Achieved Green Growth with Technological Innovation Efficiency and Environmental Sustainability?

Urban Environmental Legislation and Green Innovation

Contact Info

Product

Resources

About