The impact of government subsidies and enterprises’ R&D investment: A panel data study from renewable energy in China

In this research, we aim to understand the influence of government subsidies on enterprises’ research and development (R&D) investment behavior, particularly in China’s renewable energy sector. We are also interested in examining how the attributes of enterprise ownership act as a moderating variable for the relationship between government subsidies and R&D investment behavior. Three classical panel data analysis models including the pooled ordinary least squares (OLS) model, the fixed effect model and the random effect model are employed. We find that government subsidies have a significant crowding out influence on enterprises’ R&D investment behavior and that the influence is further moderated by the attributes of enterprise ownership. Moreover, a panel threshold regression model is used to demonstrate how the influence of government subsidies on enterprises’ R&D investment behavior will change when government subsidies increase. Two thresholds, 0.6% and 10.1%, are identified. We recommend that relevant government departments should motivate enterprise R&D investment behavioral intention by increasing subsidies within a certain range. Different attributes of enterprise ownership should also be considered as part of policy reform and re-structuring relating to government subsidies.     

壁厚不均铸铝件的熔模铸造生产

通过设计浇注系统,严格执行熔模铸造工艺规程,成功生产了壁厚不均匀的铸铝件,积累了生产经验。     

Comparative analysis of public participation in the EIA process for Thai overseas investment projects: Krabi coal terminal,Hongsa coal power plant,and Dawei special economic zone

While Thai overseas investment projects (TOIPs) have become a key form of development in the region, their environmental impact assessment (EIA) quality has been criticized. This research sought to analyze the differences in EIA practices in terms of public participation (PP) in two TOIPs – the Hongsa coal-fired power plant (Lao PDR) and the Dawei special economic zone (Myanmar) – versus a national-level project, the Krabi coal terminal. For Laos and Myanmar, which did not previously require PP, the Thai consultants did not apply the Thai PP framework, leading to poor public participation index (PPI) scores = 0.02, indicating a negligible PP process. However, the consultant on the Krabi coal terminal claimed to abide by the Thai regulations, yet the PPI scores claimed = 0.81 (substantive rationale), were quite different from those indicated by the affected villagers = 0.39 (instrumental rationale). These villagers’ concerns resulted in conflict between the affected villagers and project owners. Our findings have revealed the true necessity of PP regulation and systems to monitor consultant performance to ensure sustainability of TOIPs in neighboring countries.     

沈阳市住房刚性需求与供需平衡分析

界定住房刚性需求包括拆迁安置住房、新婚夫妇住房、新增外来人口住房等纯粹住房刚性需求和改善性住房需求两部分,测算沈阳市各项住房刚性需求量,并分析沈阳市住房供需平衡状况。     

Determination of drivers for investing in cryptocurrencies through a fuzzy full consistency method-Bonferroni (FUCOM-F’B) framework

Cryptocurrencies have brought many innovations and discussions to economic life. Digital assets, which are very popular by investors, are frequently used for many purposes such as store of value, exchange, and speculation. It creates a research area that intentions cryptocurrency experts prioritize in crypto investments. In this paper, therefore, the fuzzy Full Consistency Method-Bonferroni (FUCOM-F’B) model is conducted to determine the priorities of drivers for investing in cryptocurrencies. The selected twenty-three drivers are classified based on five aspects, including functionality, financial, legal infrastructure, technology, and security. Based on the findings, “strong electronic encryption” and “use of digital signature” are the most significant drivers for preferring a cryptocurrency. A validation check is performed to verify the reliability, usefulness, and stability of the proposed approach. Further, the introduced approach allows taking the ambiguities and subjectivity into account which exist in the decision-making procedure. The suggested framework can be a helpful decision support tool for regulators, policymakers, practitioners, and cryptocurrency investors.     

Dairy farmers with larger herd sizes adopt more precision dairy technologies

An increase in the average herd size on Australian dairy farms has also increased the labor and animal management pressure on farmers, thus potentially encouraging the adoption of precision technologies for enhanced management control. A survey was undertaken in 2015 in Australia to identify the relationship between herd size, current precision technology adoption, and perception of the future of precision technologies. Additionally, differences between farmers and service providers in relation to perception of future precision technology adoption were also investigated. Responses from 199 dairy farmers, and 102 service providers, were collected between May and August 2015 via an anonymous Internet-based questionnaire. Of the 199 dairy farmer responses, 10.4% corresponded to farms that had fewer than 150 cows, 37.7% had 151 to 300 cows, 35.5% had 301 to 500 cows; 6.0% had 501 to 700 cows, and 10.4% had more than 701 cows. The results showed that farmers with more than 500 cows adopted between 2 and 5 times more specific precision technologies, such as automatic cup removers, automatic milk plant wash systems, electronic cow identification systems and herd management software, when compared with smaller farms. Only minor differences were detected in perception of the future of precision technologies between either herd size or farmers and service providers. In particular, service providers expected a higher adoption of automatic milking and walk over weighing systems than farmers. Currently, the adoption of precision technology has mostly been of the type that reduces labor needs; however, respondents indicated that by 2025 adoption of data capturing technology for monitoring farm system parameters would be increased.     

Applying portfolio theory-based modified ABC to electricity generation mix

Portfolio theory has found its model in numerous engineering applications for optimizing the electrical generation mix of an electricity area. However, to have better performance of this theory, this paper presents a new heuristic method as known modified artificial bee colony (MABC) to portfolio optimization problem. Moreover, we consider both dis-patchable and non-dis-patchable constrains variables and energy sources. Note that the proposed MABC method uses a Chaotic Local Search (CLS) to enhance the self searching ability of the original ABC algorithm. Resulting, in this paper a portfolio theory-based MABC model that explicitly distinguishes between electricity generation (energy), installed capacity (power) and actual instantaneous power delivery is proposed. Therefore, in this model, the uncertainties of wind power and ramp-up/down constrains of traditional power plants are correctly considered in the investment cost. The numerical results show the great potential of proposed model with lowest risk on generation cost. Also, they are show that MABC approach is successful in portfolio optimization.     

我国高铁建设融资模式再探索

作为公共基础设施建设的重要组成部分,高铁建设具有自然垄断性、地方公共产品性、成本积聚性以及收益长期性等经济属性。高铁建设一般采取政府投资为主、BOT项目融资为辅的融资模式,而政府投资和BOT项目融资模式都存在一定的限制,为满足高铁建设的巨大资金需求,需要探索和尝试更可行、合理的融资模式,制定支持性政策和配套制度。     

建设工程计价价差预备费测算方法讨论

通过对CECA-GC1-2007建设项目投资估算编审规程可行性研究阶段投资估算中价差预备费计算公式进行讨论,描述了该公式所采用的数学模型及其推导过程,对投资者增进对该公式的理解,更好的把握投资估算的方法起到了有益的作用。     

监理工作中的三大控制

以监理工作的三大控制为主线,详细阐述了工程建设监理＂三大控制＂的要点和措施,结合作者自身工作经验对工程建设各阶段＂三大控制＂的措施进行分析,通过各措施的有效实施,以取得良好的工程效果。