Green technology innovation and financial development: Do environmental regulation and innovation output matter?

Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China

Environmental decentralization, digital finance and green technology innovation

Can environmental regulation directly promote green innovation behavior?—— based on situation of industrial agglomeration

The ‘Clean Energy for All Europeans’ legislative package places citizens and communities at the heart of the European energy policy by promoting local energy generation, consumption and trading. As only recently energy communities were formally defined in the European regulatory framework, the literature on energy community business models is still scattered and a clear systematization of community arrangements is missing. This paper aims to provide a comprehensive view of the prevailing and emergent energy communities business models, focusing on the value proposition offered by these initiatives. Community projects across Europe are analyzed and eight community business model archetypes are identified having the current European regulatory framework as background. The Business Model Canvas and the Lean Canvas frameworks are used to characterize and compare these archetypes. The main differences between business models are examined to highlight the most relevant strengths and barriers for energy community development. This analysis revealed the dominance of traditional self-consumption place-based communities, while business models involving differentiated services as demand flexibility, aggregation, energy efficiency and electric mobility are still scarce. However, the research around novel business models must be strengthened as they are expected to become crucial in upholding energy communities as key players in the energy transition and foster the regulatory framework evolution.

Business models for energy communities: A review of key issues and trends

Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies

China is a world leader in the global solar photovoltaic industry, and has rapidly expanded its distributed solar photovoltaic (DSPV) power in recent years. However, China’s DSPV power is still in its infancy. As such, its business model is still in the exploratory stage, and faces many developmental obstacles. This paper summarizes and analyzes the main obstacles that China’s DSPV power is facing in its development, using a literature analysis methodology. Then, previous business models, such as host-owned, energy management contract (EMC), and third-party-owned (TPO), were studied using the Business Model Canvas (BMC) as an analytical tool. Moreover, the Lean Canvas (LC) method was used to further conduct a synthesis and comparative analysis with the three models, describing how and to what extent these models can overcome identified obstacles. Finally, the study highlighted the dominant position of EMC model.

Business Models of Distributed Solar Photovoltaic Power of China: The Business Model Canvas Perspective

China has become the major stakeholder in global photovoltaic (PV) technology. However, the existing mechanistic interpretation of “what promotes the technological progress of the Chinese PV industry” is controversial. This paper takes China’s A-share listed PV enterprises from 1999 to 2019 as the research sample and uses a panel fixed-effect regression model to empirically test the impact of research and development (R&D) investment and government subsidies on the technological progress of PV enterprises. The results show that there is an “N”-shaped nexus between R&D investment and technological progress, and most PV enterprises are in the climbing stage of the N-shaped curve. With the development of the PV industry, the nexus will undergo a transformation from inverted U-shaped to N-shaped, indicating that R&D investment is a key driver of PV technological progress. Yet, government subsidies are a “double-edged sword”. They have a significant positive direct effect on PV technological progress but also a negative moderating effect. Tax returns play a positive incentivizing role, while financial subsidies play a negative moderating role. This study provides a policy basis for the timely reduction of financial subsidies and increased R&D investment to promote technological progress in China’s PV industry.

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The Impact of Enterprise R&D Investment and Government Subsidies on Technological Progress: Evidence from China’s PV Industry

Does the belt and road initiative alleviate energy poverty in participating countries?

Background Since the outbreak of COVID-19, universities in Hong Kong have implemented online and hybrid teaching modes, making computer-assisted language learning (CALL) a primary way for English learning. Research on English learning motivation and self-regulation has seldom considered learners' emotions (satisfaction and preparedness) and the synchronic online courses in a CALL context. Objectives This study analyses the relationship between Hong Kong university students' motivation and self-regulation by considering their emotions in computer-assisted synchronic online English courses. Methods 311 Hong Kong university students were invited to complete two questionnaires that investigated students' motivation and self-regulation in computer-assisted online English courses. SPSS 26 was employed for exploratory factor analysis (EFA) to extract factors and exclude unsuitable items, and confirmatory factor analysis (CFA) was performed to verify the results of EFA. One-way ANOVA was conducted to detect the impact of personal emotion on motivation and self-regulation. AMOS 26 was adopted to construct a structural equation model (SEM) to explore the relationship between motivation and self-regulation in the CALL context. Results and Conclusions The results show that satisfaction and preparedness positively correlate with online English learning motivation and self-regulation. Instrumentality-attitude significantly predicts all factors of self-regulation via SEM and goal setting significantly predicts all factors of motivation. With feasible English learning goals, Hong Kong university students are more proactive in learning English online where they actively interact with teachers and peers. Implications Based on the L2 self-system (Dörnyei, The psychology of the language learner: Individual differences in second language acquisition, 2005) and self-determination theory (Barnard et al., Internet and Higher Education, 2009, 12, 1–6), this study clarifies the relationship between motivation and self-regulation in the CALL context, expanding the application scope of the two theories. COVID-19 has changed the teaching mode greatly, calling for a revolution in language education and learning. This study provides significant pedagogical implications that benefit both learners and teachers in CALL post-COVID-19. 

Haijing Zhang

Papers

Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies

Business Models of Distributed Solar Photovoltaic Power of China: The Business Model Canvas Perspective

The Impact of Enterprise R&D Investment and Government Subsidies on Technological Progress: Evidence from China’s PV Industry

Does the belt and road initiative alleviate energy poverty in participating countries?

Computer‐assisted English learning: Uncovering the relationship between motivation and self‐regulation