ALBERT

Description: Sustainability, Vol. 9, Pages 1928: A Co-Word Analysis of Organizational Constraints for Maintaining Sustainability Sustainability doi: 10.3390/su9101928 Authors: Daoyan Guo Hong Chen Ruyin Long Hui Lu Qianyi Long A good understanding of organizational constraints is vital to facilitate organizational development as the sustainable development of organizations can be constrained by the organization itself. In this study, bibliometric methods were adopted to investigate the research status and trends of organizational constraints. The findings showed that there were 1138 articles and reviews, and 52 high-frequency keywords related to organizational constraints during the period 1980–2016. The research cores were “constraints”, “learning”, “institution”, and “behavior” in the co-occurrence network, and “constraints” played the most significant role. The 52 high-frequency keywords were classified into six clusters: “change and decision-making”, “supply chain and sustainability”, “human system and performance”, “culture and relations”, “entrepreneur and resource”, and “learning and innovation”. Furthermore, the indicators of organizational development (e.g., innovation, supply chain, decision-making, performance, sustainability, and employee behavior) were found to be significantly related to the organizational constraints. Based on these findings, future trends were proposed to maintain the sustainability of organizations. This study investigated the state of the art in terms of organizational constraints and provided valuable references for maintaining the sustainable development of organizations.

Description: The paper proposes a new hybrid method based on cuckoo search (CSA) and sunflower optimization (SFO) approach (called HCSA-SFO) for improving the performance of solutions in the optimization power system operation problem. In the power system, the optimal power flow (OPF) problem is one of the important factors which usually minimizes total cost and total active power losses while satisfying all constraints of the output power of generators, the voltage at buses, power flow on branches, the capacity of capacitor banks and steps of transformer taps. HCSA-SFO utilizes the mutation and selection mechanism in the SFO algorithm to replace the Lévy flights function in CSA. Hence, this makes HCSA-SFO avoid the fixed step size in the CSA from that can reduce run time and improve the quality of solution for the HCSA-SFO algorithm in the OPF problem. The proposed hybrid technique is simulated on the 30-buses and 118-buses systems. The obtained simulation results from the suggested technique are compared to many other approaches. The result comparisons in different cases showed that the suggested HCSA-SFO can achieve a better result than many other optimization approaches. Therefore, the suggested HCSA-SFO is also an effective approach for dealing with the OPF problem.

Description: The electric vehicle charging infrastructure is in the initial development period in China, where there is an imbalanced supply and demand structure, an increasingly mature institutional environment, and an imperfect support system. The infrastructure is important for supplying energy to electric vehicles, and it needs to be provided in a reasonable manner with a moderately advanced layout. Due to large-scale investment, unclear financing rights and responsibilities, a single participant, interlinked risks, and other factors, “absence” and “dislocation” of the charging infrastructure coexist. The public–private partnership (PPP) model is an effective supply path for the infrastructure. Thus, introducing the PPP model into the charging infrastructure can leverage social capital, eases the burden on local finance, enhances the level of project management and profitability, and reduces construction and operation risks. For the participant level of PPP projects in the charging infrastructure, the present study elucidates the support mechanisms required by the government, social capital, and intermediaries in order to construct an effective charging infrastructure in China.

Description: A burgeoning population, pressing development needs and increasing household consumption are rapidly accelerating water use in direct and indirect ways. Increasingly, regions around the world face growing pressure on sustainable use of their water resources especially in arid and semi-arid regions, such as Northern China. The aim of this research is to obtain an overview of the cumulative water requirement for direct (domestic) water use and indirect water use for the basic food consumption of the households in the Inner Mongolia Autonomous Region (IMAR), in order to reduce the pressure on grassland of Western China by encouraging sustainable water consumption. For indirect water use, we use VWC (virtual water content) analysis theory to analyze the total consumption package of 15 basic food types that were identified and quantified based on the household survey in 2011. In this survey, domestic water consumption data and food consumption data were collected from 209 representative households with spatial variation across three sub-regions (including meadow steppe in Hulun Buir, typical steppe in Xilin Gol, and semi-desert steppe in Ordos) and temporal variation from 1995 to 2010. The results show that the total amounts of food consumption per capita in three sub-regions all show an increasing trend, especially in Hulun Buir and Ordos. Compared to the direct water consumption, the indirect water consumption behind food production made up a major portion of total water consumption, which is affected (1) geographic locations (grassland types); (2) economic development levels and (3) grassland use policy measures. From 1995 to 2010, indirect water consumption displays a decreasing trend in Xilin Gol and Ordos due to the decrease of meat consumption and increase of fruit and vegetable consumption. When considering the amount of land per household, the grassland in Ordos still faces the great threat of high water consumption pressure. Such water consumption may affect water conservation services and productivity of grassland. Therefore, changing diet behavior and reducing the population can be considered options for sustainable use of water.

Description: In this study, factors influencing the willingness to participate in public bicycle projects were analyzed using the binary logistic model. The study builds on a broad and practical conceptual framework that embraces four dimensions of influencing factors, including household demographic, psychological, external, and public bicycle variables. The empirical results are based on a questionnaire survey that was sent to 520 urban residents in Xuzhou, Taizhou, and Suzhou in Jiangsu province. The survey indicates that environmental responsibility, improvement of the public transport system, health and safety considerations in relation to public bicycles, and environmental crisis consciousness have appreciable impacts upon the willingness to participation in public bicycle projects. The first three of these have a positive impact, whereas the last (environmental crisis consciousness) has a negative impact. Consequently, some policy suggestions are proposed.

Description: Construction accidents are a significant hazard to the community, affecting sustainable development. This paper summarizes the safety situation of the construction industry in China over the past ten years. Detailed analysis is performed on fatal accidents that occurred in 2018 to reveal the spatiotemporal distribution pattern and characters of construction safety accidents. The construction failures are mainly attributed to management aspects rather than technical aspects. A case involving a major accident during shield tunnel construction in Foshan, Guangdong, in 2018 is investigated in detail. Strategic environmental assessment (SEA) is used to analyze the management issues of the Foshan metro project during planning, geological investigation, design, and implementation of construction works. The SEA result shows that the safety risk was very high with a low total SEA score. Based on the analysis, a guideline for safety construction management for sustainability is proposed.

Description: The Yi ethnic group in Liangshan Prefecture, Sichuan Province in Southwest China have cultivated Tartary buckwheat (Fagopyrum tataricum) for at least a thousand years. Tartary buckwheat landraces are maintained through their traditional seed system. Field work and social network methodologies were used to analyze the seed sources and their flows, and to create a seed network map. Self-saving, exchanging with neighbors and relatives, and purchasing from the market were the main means farmers used to save and exchange Tartary buckwheat seeds. The flow of seed within villages was higher than between villages. Wedding dowry was an important pathway for seed flow among all of the villages. Of the 13 Tartary buckwheat landraces maintained, four landraces were exchanged frequently. The seed exchange network structure was affected by the number of Tartary buckwheat landraces, the age of nodal households, geographic environment, culture, and cultural groups. Nodal households play an important role in the conservation and on-farm management of Tartary buckwheat landraces.

Description: Photovoltaic (PV) modules convert renewable and sustainable solar energy into electricity. However, the uncertainty of PV power production brings challenges for the grid operation. To facilitate the management and scheduling of PV power plants, forecasting is an essential technique. In this paper, a robust multilayer perception (MLP) neural network was developed for day-ahead forecasting of hourly PV power. A generic MLP is usually trained by minimizing the mean squared loss. The mean squared error is sensitive to a few particularly large errors that can lead to a poor estimator. To tackle the problem, the pseudo-Huber loss function, which combines the best properties of squared loss and absolute loss, was adopted in this paper. The effectiveness and efficiency of the proposed method was verified by benchmarking against a generic MLP network with real PV data. Numerical experiments illustrated that the proposed method performed better than the generic MLP network in terms of root mean squared error (RMSE) and mean absolute error (MAE).

Description: Agricultural sectors play an important role in the process of economic development of a country, especially in developing ones. Vietnam is known as an emerging market, which depends directly on agriculture-related activities for their livelihood, in which the issue of rural credit access still remains a confounding problem. The paper focuses on the characteristics of rural credit markets, the determinants of farmer access to the markets, the socio-economic impacts of credit access in Vietnam and briefly comparing with those of some developing countries. This question is addressed by reviewing existing literature and empirical evidence, followed by a comprehensive case study in Vietnam. Comprehensive literature review with secondary data collection and key informant interviews are methods that are applied in this research. The results of this analysis indicate the features of Vietnam markets as participated constraints, government intervention, and segmentation. Other results reveal the significant determinants of credit accessibility. Impacts of credit access on output production, household income, and poverty reduction are highlighted in this paper. Some managerial implications are recommended for households through participation in lending networks; for financial institutions relating to expand target clients as well as capital allocation; and, for policy-makers via ensuring market competitiveness and sustainable development in the long run.