New Energy Industry Research Articles

Mechanism of high content Mn & Ni synchronous stable solidification in Fe-spinel glass-ceramics from battery slag

New-energy industry produce large amount of emerging high-speed battery jarosite slag, containing Mn and Ni, which is large in quantity and harmful. Harmless treatment is in urgent need. We research on the curing mechanism of heavy metals migration and transformation during phase via iron clusters transformation in glass-ceramics. Based on first-principles and density functional theory, regulating electronic structure of Mn2+ and Ni2+ by Cr3+. After clarifying the interaction among curing compatibility, capacity and stability, the structure-activity relationship among electronic & molecular structure and leaching concentration of heavy metals was established. The results show that CaNiSi2O6 is difficult to cure Ni2+, the formation of iron clusters promotes the conversion of multiphase to Fe-Spinel A; Mn2+, Ni2+ went into the octahedron in Fe-Spinel A cannot be stabilized; Cr3+ promotes migration of Mn2+, Ni2+ into the tetrahedral, turning Fe-Spinel A into Fe-Spinel B, improves curing compatibility of Mn2+, Ni2+; Cr3+ also adjust the bond structure, which enhances solid solution attraction to Mn2+ and Ni2+, and capacity of Mn2+ and Ni2+ increases from 19%, 30%–147%, 195%; improving compatibility and capacity of Fe-Spinel reduces leaching concentration of Mn2+ and Ni2+ from 1.32, 0.51 mg/L to 0.48, 0.03 mg/L. This work realizes the harmless disposal of recycling Mn- and Ni-rich battery slag. The solidified body can also be reused as eco-friendly resource.

Study on Economic Strategy of Green Finance Promoting the Development of New Energy Industry in Shandong Province

With global climate change and energy security issues becoming increasingly prominent, new energy industry(NEI) has become an important field to promote sustainable development. The purpose of this study is to explore the economic strategy of green finance(GF) in promoting the development of NEI in Shandong Province. Through in-depth research on the policy framework and practical operation of GF, we find that Shandong Province has made remarkable achievements in this field. Green financial policy covers many aspects, such as financial incentives, financial product innovation and policy guidance, which provides strong support for the NEI. On the practical level, the Shandong provincial government has established a close cooperative relationship with financial institutions, and strengthened financial institutions' support for new energy projects through joint loans and risk sharing. Shandong province has made a series of remarkable achievements in the economic strategy of GF promoting the development of NEI, which has laid a solid foundation for future sustainable development. However, it is still necessary to further strengthen supervision and innovate financial products in order to better lead the NEI to the road of high-quality development.

Bargaining power of new-energy enterprises in China's credit-financing market.

The new-energy industry, which is a key area for coping with climate change, faces serious credit-financing difficulties. This study used a bilateral stochastic frontier model to measure the bargaining power of new-energy companies in China's credit-financing market. We then examined the main factors affecting the bargaining power of new-energy enterprises by comparing the results of the firms in different groups, including corporate-related factors, government policies, and financial development levels. The results showed that the bargaining power of both banks and enterprises had an important influence on the final financing price. In the bargaining process, new-energy companies were at a disadvantage, and financing prices were 17.2% higher than fair prices. The nature of state-owned enterprises hinders the improvement of the bargaining power of new-energy enterprises. Technology competence and relationships with banks are useful ways for new-energy enterprises to improve their bargaining power. In solving the financing difficulties in the credit market of new-energy enterprises, government subsidies are usually ineffective, while improving the financial development level is effective.

Research on China's Green Finance Credit Risk Measurement Based on Improved KMV Model — Credit risk assessment of new energy automobile industry

This paper focuses on the issue of green finance credit risk measurement, taking China's new energy vehicle listed companies as a sample, taking into account the actual situation of China's financial market, using a modified KMV model to estimate the default distance of selected companies, and comparing with the traditional industries in these three years. The results show that the average default distance of 30 new energy automobile companies is larger than that of 30 traditional automobile manufacturing companies, and the default probability is smaller. As the credit loan risk for the new-energy automobile industry is lower, commercial banks are encouraged to carry out green credit business, and policy and subsidy support related to the new-energy industry shall be given at the same time.

A Public Health-Oriented New Energy Industry Competitiveness Evaluation.

This paper develops a regional new energy industry (NEI) competitiveness evaluation index system based on the theoretical framework of the “diamond model” and the unique characteristics of the new energy industry and made an empirical analysis of Jilin province with analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method. The analysis results show that the new energy industry in Jilin Province has a good foundation, and the government's role, talent support, technological innovation, and market factors are acceptable. However, due to location factors and resource endowments, regional GDP and per capita consumption expenditure are low. The lack of intrinsic motivation of industrial competitive advantage has resulted in the poor overall competitiveness of the new energy industry in Jilin Province. Then, it is advised to take targeted measures to work closely with national NEI development strategy, optimize the industrial technology innovation ability and the talent support, actively guide social capital flows and new energy consumption, optimize regional energy consumption structure and industrial structure by creating a complete NEI chain, and revitalize the whole economy.

Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry

The new energy industry (NEI) is key to achieving a clean and low-carbon economy. Improving its technical efficiency, a factor reflecting the ability of an enterprise or industry to produce maximum economic outputs from a given set of inputs and production technologies, is vital for the healthy development of the NEI. Nevertheless, due to the fragmentation of industry data, it is still difficult to accurately measure the technical efficiency of China’s NEI and understand the driving factors behind it. Based on the panel data derived from 17,457 observations on new energy enterprises in 29 Chinese provinces during 1998 and 2013 (latest data available), this paper uses data envelopment analysis (DEA) and geographically and temporally weighted regression (GTWR) for the first time to investigate the spatiotemporal characteristics and driving factors of the technical efficiency of China’s NEI. The results show that the technical efficiency of China’s NEI was relatively low and increased modestly from 0.44 in 1998 to 0.52 in 2013. Exploring the reasons from the perspective of spatiotemporal heterogeneity, we find that enterprise scale and technological progress are the major driving factors for increasing NEI’s technical efficiency. However, the role of economic development in improving efficiency has gradually disappeared. Moreover, the negative effect of state-owned enterprises on efficiency becomes increasingly obvious. The effect of new energy resources is negligible. Our main contribution is the technical efficiency of China’s NEI which is measured at the provincial level and its main driving factors are explored by considering spatiotemporal heterogeneity. Accordingly, we put forward some specific recommendations to improve the technical efficiency of China’s NEI.

A foot in two camps or your undivided attention? The impact of intra- and inter-community collaboration on firm innovation performance

ABSTRACT Many inter-organisational networks exhibit a community structure. However, the level of understanding of the effect of firms’ embeddedness in a network community on their innovation performance is limited. This study attempts to fill this gap by investigating the impact of intra- and inter-community collaboration strength on firms’ innovation performance, with patent data pertaining to the new-energy vehicle industry during the period from 2000 to 2017. The results show that, first, firms with moderate levels of intra-community collaboration strength achieve the greatest innovation performance, as these firms obtain rapid and efficient access to knowledge within their community. Second, firms with moderate levels of inter-community collaboration strength achieve the greatest innovation performance, as they acquire heterogeneous knowledge from outside the community. Third, the interaction of intra- and inter-community collaboration strength has a significant negative effect on firms’ innovation performance. This finding suggests that simultaneously building collaborations inside and outside the community is not an ideal network strategy for firms to employ.

Performance Evaluation of Listed Companies in New-Energy Automotive Industry

As one of the national strategic emerging industries, new-energy-automobile industry has been caused people’s attention increasingly. Therefore, improving the new energy industry listing corporation performance, not only can alleviate the pressure on energy and the environment, but also can conducive to accelerating the transformation and upgrading of the automotive industry. Moreover, it can foster new economic point of growth and international competitiveness. This essay uses the super efficiency DEA model and Malmquist index method to analyze the performance of new-energy-automotive industry listing corporation. The data is from Year 2011 to 2013. Finally according to the conclusion of the empirical research, this paper made several suggestions to improve the operational efficiency of China’s new energy automobile enterprises and promote new energy-automobile industry.