bluuebunny/crossref_metadata_2025 huggingface dataset:
Human Capital, Social Capital, and Farmers’ Credit Availability in China: Based on the Analysis of the Ordered Probit and PSM Models
Authors: Liu Jiaojiao , Zhang Gangren , Zhang Jun , Li Chongguang
Published: February 2020

Rural credit is very important to the increase of farmers’ income and the development of rural economy, and it has attracted wide attention from scholars. Many scholars have paid attention to the impact of social capital on farmers’ credit availability, but the research conclusions have not yet been unified. In addition, human capital is also one of the important factors that scholars pay attention to. However, the research mainly focuses on farmer education and pays less attention to their health. Based on the China Household Income Project (CHIP2013) database, we evaluated the impact of human capital (education and health of farmers) and social capital on the credit availability of farmers. To ensure the robustness of our results, we used both the ordered probit model and the propensity score matching (PSM) model to carry out the estimations. Therefore, the study not only improves the research framework of the impact of human capital on farmers’ credit availability, but also uses a more accurate method to estimate the net impact of social capital on farmers’ credit availability. The results showed that, firstly, in terms of human capital, farmers’ educational and health levels have a significant positive impact on their formal credit availability, but no significant impact on their informal credit availability. In particular, farmers with a high school education or above are more likely to obtain a formal loan. Secondly, in terms of social capital, interpersonal relationship capital and political relationship capital are beneficial for farmers obtaining loans from formal and informal channels. Organizational relationship capital only has a more significant positive impact on the informal credit availability of farmers. These results imply that formal financial institutions not only pay attention to farmers’ human capital but also their social capital to reduce the risk of lending. However, informal lenders, that is, relatives or friends, pay more attention to the social capital of farmers.
The Correlation between Soil Nutrient and Potato Quality in Loess Plateau of China Based on PLSR
Authors: Xing Yingying , Niu Xiaoli , Wang Ning , Jiang Wenting , Gao Yaguang , Wang Xiukang
Published: February 2020

Potato tuber quality is influenced by the interaction of soil nutrients. Hence, simple correlation analysis cannot accurately reflect the true relationship between soil nutrients and potato tuber quality. In this study, potato tuber quality and soil nutrient content were used as research materials in the Loess Plateau of China. The partial least square regression (PLSR) method was used to establish the regression equation between potato quality and soil nutrient. The major soil nutrient indexes influencing potato quality were screened out to provide theoretical basis for potato field management. The results showed that the major soil nutrient factors influencing the potato tuber quality in Loess Plateau were soil ammonium nitrogen, soil nitrate nitrogen, soil available phosphorus, pH, and soil available potassium. Soil pH value is the most important factor affecting potato starch, reducing sugar content, and soluble protein content. Soil nitrate nitrogen is one of the important factors affecting potato tuber soluble total sugar content, vitamin C, browning intensity, and polyphenol oxidase activity. Soil ammonium nitrogen was positively correlated with the total soluble sugar content of potato tubers, and negatively correlated with reducing sugar content, browning intensity, and polyphenol oxidase activity. However, soil available potassium has positive effects on potato starch and reducing sugar content, and negative effects on soluble protein and browning strength. Results of this study indicates that the major soil nutrient factors influencing potato tuber quality were soil nitrate nitrogen and soil pH value.
Data Envelopment Analysis (DEA) for Measuring the Efficiency of the Hotel Industry in Ecuador
Authors: Higuerey Angel , Viñan-Merecí Christian , Malo-Montoya Zulema , Martínez-Fernández Valentín-Alejandro
Published: February 2020

The level of contribution of the hotel industry depends on different factors of production that they use in the provision of their services The way they use these factors of production will allow them to act efficiently, in order to improve profitability and market position. Ecuador, in recent years, has directed public policies betting on the development of this industry. In this sense, this research seeks to measure the efficiency and productivity of the Ecuadorian hotel industry. For this purpose, a significant sample has been selected; it consists of 147 businesses that provided hotel services during the period 2013–2017. These businesses are classified according to their quality and geographic location. This information has been useful to make a balanced panel data with one output (Revenue) and three inputs (Total_personnel, the non-current assets, and Consumption) by using the Data Envelopment Analysis (DEA). The results, which proved to be solid and accurate, indicate that the most efficient businesses are the ones in the third class, whereas those hotels located in zones with tourist attractions and activities have a better optimization of those resources. This situation has an effect on the significant improvement of their productivity.
Analyze the Surplus Power Entropy of Water Supply Network after an Earthquake Based on the Pressure Drive Demand (PDD) Model
Authors: Song Zhuo , Wang Wei , Han Zhao , Ma Donghui
Published: February 2020

It is necessary to evaluate the reliability of the water supply network, when the water supply network is damaged by an earthquake. Therefore, this paper researched the feasibility and characteristics of the surplus power entropy as the reliability index of the water supply network, and established a scheme framework for optimizing and improving the reliability of the water supply network. This paper developed a reliability evaluation model for the water supply network after an earthquake. Combined with the Monte Carlo stochastic simulation hydraulic analysis, this model is also based on the pressure-driven nodes water demand model. In the case study, the surplus power entropy method was applied to test the reliability of the model. The statistical curves of the surplus power entropy of nodes and pipe networks, the distribution of the surplus power entropy with different intensities in pipe networks, and the comparison results of three reliability improvement schemes, before and after, were obtained. The influence factors of the surplus power entropy were obtained from the data analysis. The high consistency between the surplus power entropy and flow entropy verifies the feasibility of the surplus power entropy as a reliability index. The three schemes show that the surplus power entropy index can be used as a beneficial supplement to the reliability evaluation index of the pipe network.
Social Capital along Wine Trails: Spilling the Wine to Residents?
Authors: Xu Shuangyu , Barbieri Carla , Seekamp Erin
Published: February 2020

Social capital is a vital element of tourism development and sustainability, and has thus drawn significant attention during the past decade. Yet, this topic is still under-researched in the context of niche tourism, especially along linear tourism settings such as wine trails. As a major component of wine tourism, wine trails have been growing rapidly worldwide to further regional tourism development. To examine the level of social capital related with wine tourism, communities surrounding two wine trails in North Carolina (U.S.) were surveyed regarding the Trust, Information Sharing, Collective Action, Bonding and Bridging dimensions of social capital. Results indicated the Piedmont region has not yet fully developed the social capital associated with local wine trails, although residents perceived somewhat strong Collective Action derived from this growing tourism niche. Visitation frequency to wine trails was found to be significantly associated with all dimensions of wine tourism social capital. This study advances the wine tourism scholarship concerning social capital along wine trails (e.g., integrating main dimensions into one scale). It also sheds light on wine trail development and management, suggesting local wineries and wine trails invest greater effort in forging community bonds, especially among older residents, and bridging with local businesses.
Environmental Impact Assessment of Food Waste Management Using Two Composting Techniques
Authors: Al-Rumaihi Aisha , McKay Gordon , Mackey Hamish R. , Al-Ansari Tareq
Published: February 2020

Food waste is a significant contributor to greenhouse gas emissions (GHG) and therefore global warming. As such, the management of food waste can play a fundamental role in the reduction of preventable emissions associated with food waste. In this study, life cycle assessment (LCA) has been used to evaluate and compare the environmental impact associated with two composting techniques for treating food waste using SimaPro software; windrow composting and the hybrid anaerobic digestion (AD) method. The study, based on a 1 tonne of food waste as a functional unit for a case study in the State of Qatar, concludes that anaerobic digestion combined composting presents a smaller environmental burden than windrow composting. The majority of the emissions generated are due to the use of fossil fuels during transportation, which correspond to approximately 60% of the total impact, followed by the impact of composting with 40% of the impact especially in terms of global warming potential. Environmental assessment impacts were the highest in windrow composting for the acidification impact category (9.39 × 10 − 1 kg SO2 eq). While for AD combined composting the impact was highest for the human toxicity impact category (3.47 × 10 kg 1,4 − DB eq).
Understanding How Smallholders Integrated into Pericoupled and Telecoupled Systems
Authors: Dou Yue , da Silva Ramon , McCord Paul , Zaehringer Julie , Yang Hongbo , Furumo Paul , Zhang Jian , Pizarro J. , Liu Jianguo
Published: February 2020

Increasing connections and influences from near to far have changed social structures, access to natural resources, and essential livelihoods of smallholders (i.e., those with incomes generated primarily from natural resources on small rural properties). However, the potential benefits and negative impacts from these connections to smallholders’ livelihoods and social-ecological effects remain understudied. In this paper, we applied the frameworks of pericoupling and telecoupling (human-nature interactions between adjacent and distant systems, respectively) to systematically investigate how the flows linking smallholder systems to other systems affect their livelihoods, and causing varying economic, social, and environmental effects from case to case. We synthesized 12 cases of smallholder systems around the world that are linked to adjacent and distant systems through flows of goods, people, resources, and/or information. In each case, we summarized smallholders’ agency, i.e., capability on the formation or operation of these flows, and the changes on livelihoods on the economic, social, and environment effects. Results suggest that strong smallholder agency is associated more with positive than negative effects. Smallholders with medium to high agency have greater overall well-being within the area of interest. Smallholders integrated in pericoupled systems often have strong agency. Being spillover systems in an intercoupled system (e.g., large-scale agricultural investments) can often cause negative outcomes unless smallholders have additional pericoupling flows. Our findings suggest one potential approach to ending poverty and increasing well-being for smallholders is creating and increasing pericoupling flows to empower smallholders for desired livelihood and social-ecological outcomes.
Effectiveness of Polyacrylamide in Reducing Runoff and Soil Loss under Consecutive Rainfall Storms
Authors: Kebede Birhanu , Tsunekawa Atsushi , Haregeweyn Nigussie , Mamedov Amrakh I. , Tsubo Mitsuru , Fenta Ayele Almaw , Meshesha Derege Tsegaye , Masunaga Tsugiyuki , Adgo Enyew , Abebe Getu , Berihun Mulatu Liyew
Published: February 2020

The use of anionic polyacrylamide (PAM) as a soil conditioner could help prevent soil loss by water. In this study, we determined the effective granular PAM rate that best reduces runoff and soil loss from Oxisols. Furthermore, the effectiveness of the selected PAM rate was tested by applying it in a mixture with gypsum (G) or lime (L). The study was conducted in two phases: (i) Dry PAM rates of 0 (C), 20 kg ha−1 (P20), 40 kg ha−1 (P40), and 60 kg ha−1 (P60) were applied onto soil surface and run for six consecutive rainfall storms of 70 mm h−1 intensity for 1 h duration, and the effective PAM rate was selected; and (ii) G (4 t ha−1) or L (2 t ha−1) were applied alone or mixed with the selected PAM rate. The P20 was found to be effective in reducing runoff in the beginning while P40 and P60 were more effective starting from the third storm through the end of the consecutive storms, but with no statistically significant difference between P40 and P60. Hence, P40 was selected as the most suitable rate for the given test soil and rainfall pattern. On the other hand, the mixed application of P40 with G or L increased infiltration rate (IR) in the first two storms through improving soil solution viscosity. However, effectiveness of the mixtures had diminished by various degrees as rain progressed, as compared to P40 alone, which could be attributed to the rate and properties of G and L. In conclusion, the variation in effectiveness of PAM rates in reducing runoff with storm duration could indicate that the effective rates shall be selected based on the climatic region in that lower rates for the short rains or higher rates for elongated rains. Moreover, combined application of PAM with L could offer a good option to both fairly reduce soil erosion and improve land productivity especially in acidic soils like Oxisols, which requires further field verification.
Finite Element Analysis of the State of Stresses on the Structures of Buildings Influenced by Underground Mining of Hard Coal Seams in the Jiu Valley Basin (Romania)
Authors: Marian Dacian Paul , Onica Ilie , Marian Ramona-Rafila , Floarea Dacian-Andrei
Published: February 2020

The hard coal seams in the Jiu Valley mining basin have been mined with different mining methods and technologies, including with the complete caving of the surrounding rocks and with top coal caving. These mining systems have led to the degradation of the ground surface by producing subsidence of the land, ranging from a few meters up to tens of meters, in the areas with thick coal seams with high dips. When the limits of the main safety pillars are accidentally exceeded whilst mining, buildings situated either below the ground or on the surface are affected. In the future, the possibility exists of mining some of the very large reserves that are immobilized in the main safety pillars, where the gentle dip seams are stored. In consideration of the above, in order to study the behaviour of typical buildings that are under the influence of underground mining and to develop a model of the stress state in the structural elements of the structures, finite element modelling is used. As such, several modelled buildings with one, two, and three levels were generated, as well as buildings with two levels and with different lengths. These buildings were built of reinforced concrete panels or brick masonry and were subjected to the mining influence of a panel specific to the mines in the Jiu Valley basin, sequentially extracted with a longwall coal face method at different operating heights, with the use of roof control by caving of rocks and with top coal caving methods. Following the analysis of the major principal (tensile) stresses and minor principal (compressive) stresses, a series of conclusions regarding the behaviour of these buildings that are under the influence of the underground mining is revealed. In this context, it was concluded that the value and location of the stresses developed in the structure of the buildings depend mainly on the extension of the panel and the volume of the goaf, the relative position of the building in respect to the coal face line, and the length of the building.
The Effect of Urban-Suburban Interaction on Urbanization and Suburban Ecological Security: A Case Study of Suburban Wuhan, Central China
Authors: Tian Yasi , Wang Lei
Published: February 2020

In developing countries like China, urbanization is still occurring at a rapid pace. During urbanization, the urban land expands drastically, which makes suburbs the most affected area facing urban expansion. The land transition has proven to threaten the function and security of ecosystems, and therefore the topics of suburban land transition and ecological security have raised much attention. However, the urban-suburban interaction, which is one of the basic characteristics of suburbs, has been insufficiently considered. The urban-suburban interaction is developed based on the flows of people, materials, and information between urban and suburban areas, and it essentially reveals the relationship between human activities and land-use optimization. To fill the research gap, this study adopts a case study of Wuhan city, and first quantifies the urban-suburban interactions from a symbiotic perspective, and investigates rural residents and public buses to verify the estimated interactions. The results show that there is obvious heterogeneity in urban-suburban interactions in different suburban towns. Correlation analysis and geographic weight regression are then applied to demonstrate the relationship between the urban-suburban interaction and urbanization in the suburbs. Additionally, urbanization potential in the suburbs is estimated. Then, a suburban ecological security assessment is conducted by a “pressure-status-response” (PSR) model, and the urbanization potential that is estimated based on urban-suburban interaction is integrated as a “pressure” indicator. The comparison between the suburban ecological security assessment results based on considering and not considering urban-suburban interaction demonstrates the importance of considering urban-suburban interaction. This study contributes to the understanding of the complicated relationships of urban-suburban socio-economic, spatial, and ecological environments, and offers suggestions for suburban planning and ecological protection.
Mitigating Energy Poverty: Mobilizing Climate Finance to Manage the Energy Trilemma in Indonesia
Authors: Setyowati Abidah B.
Published: February 2020

Energy poverty remains a key global challenge. In Indonesia, around 25 million people are still without electricity access, and many of them live in geographically isolated areas and remote places that preclude them from access to the electricity grid. Deploying renewable energy sources in these areas could present an opportunity for a remarkable and rare complementarity between energy security, energy access, and climate change mitigation. This article examines how energy trilemma plays out in mobilizing private climate finance for renewable rural electrification in Indonesia. Analysis of relevant documents combined with interviews at local and national levels reveals that multiple barriers persist constraining the mobilization of private climate finance to support renewable rural electrification in Indonesia. In turn, this has led to difficulties with managing the tensions and reaching the complementarity of the three key energy objectives. The article concludes with some recommendations for moving forward.
The Willingness to Pay for Beach Scenery and Its Preservation in Italy
Authors: Rodella Ilaria , Madau Fabio Albino , Carboni Donatella
Published: February 2020

In order to understand the multiple values of landscape, this paper suggests an evaluative methodology that takes into account a quantitative approach, public opinion, and an economic estimation. This study analyzes the coastal scenery of 40 Italian beaches using a fuzzy logic and a Contingent Valuation (CV). Each site was classified into five categories: Class I beaches were littorals with high natural settings; Class II sites were natural and semiurban beaches having low influences by anthropic structures; Classes III, IV, and V had lower evaluations due to poor physical and human condition. A questionnaire survey analyzed beach users’ preferences, judgment, and Willingness to Pay (WTP). Results suggest that landscape judgment is directly correlated to scenery assessment; therefore, beaches of Class I and II were judged beautiful while beaches of Class IV and V had poor judgments. Similarly, the importance given to the landscape was highest in Class I and II than in the others. WTP for the conservation of the selected beaches was about €16 per season. Our findings suggest that people are disposed to pay more for a beach with the top-grade of scenery (Class I and II) and low grade of urbanization. Moreover, WTP would rise for females and for nonresident users with an academic degree, which appreciated the coastal landscape.
Reviewing Neighborhood Sustainability Assessment Tools through Critical Heritage Studies
Authors: Aguiar Borges Luciane , Hammami Feras , Wangel Josefin
Published: February 2020

This article reports on a critical review of how cultural heritage is addressed in two internationally well-known and used neighborhood assessment tools (NSAs): BREEAM Communities (BREEAM-C) and LEED Neighborhood Design (LEED-ND). The review was done through a discourse analysis in which critical heritage studies, together with a conceptual linking of heritage to sustainability, served as the point of departure. The review showed that while aspects related to heritage are present in both NSAs, heritage is re-presented as primarily being a matter of safeguarding material expressions of culture, such as buildings and other artifacts, while natural elements and immaterial-related practices are disregarded. Moreover, the NSAs institutionalize heritage as a field of formal knowledge and expert-dominated over the informal knowledge of communities.
Protection of Cultural Heritage Buildings and Artistic Assets from Seismic Hazard: A Hierarchical Approach
Authors: D’Alpaos Chiara , Valluzzi Maria Rosa
Published: February 2020

The occurrence of natural disasters such as earthquakes represent a worldwide challenge in the conservation of cultural heritage (CH), which suffer from damage due to high vulnerability conditions. Therefore, the protection of CH from seismic hazard is of paramount importance. Damage and vulnerability assessment of CH and artistic assets play a key role in the identification of conservation strategies. Effective strategies require the stabilization of severely damaged buildings and the preventive improvement of constructions structural response to seismic actions. Although the operation of emergency inspections is meant to classify buildings on the basis of buildings residual seismic capacity, investment decisions in restoration and conservation strategies of such vulnerable structures must take into consideration tangible and intangible values of both building structures and artistic goods as well as must combine objectives of verifying structural safety standards and preserving cultural heritage significance. Damage and vulnerability assessment depend on different criteria, which, on the one hand, are related to buildings structural characteristics, materials, and geometrical properties. On the other hand, to the peculiarities and uniqueness of artworks and artistic goods present on structural elements. In this paper, an AHP (absolute) model is proposed to rank multi-criteria prioritization of protection and restoration interventions on a set of 15 churches, which were damaged by earthquakes, occurring in Italy in the last decades. In detail, in order to structure the decision problem, identify key factors, and define the hierarchy, we conducted an extensive literature review and interviewed a pool of experts. Focus groups were organized to develop the set of criteria and sub-criteria and validate the hierarchy by dynamic discussion.
Effect of Domestic and Global Environmental Events on Environmental Concern and Environmental Responsibility among University Students
Authors: Janmaimool Piyapong , Chudech Surapong
Published: February 2020

Recently, both global and domestic environmental events have been occurring more frequently, bringing catastrophic consequences to humans and the environment. These adverse events have caused widespread concern among the general public. In positive terms, these devastating events could potentially enhance people’s environmental concern, which, in turn, could instill a greater sense of environmental responsibility. This study aims to examine how global and domestic environmental concerns mediate the effect of environmental knowledge and attitudes on environmental responsibility. Students of King Mongkut’s University of Technology Thonburi in Bangkok, Thailand, were selected as the participants. A simple random technique was applied for selecting the participants. Questionnaire surveys with 863 students were carried out during September–October 2019. A path analysis was performed to test relationships among environmental knowledge, environmental attitudes, global and domestic environmental concerns, and environmental responsibility. The results demonstrated that domestic environmental concerns, taken alone, contributed less to the students’ sense of environmental responsibility. Domestic environmental concerns had a stronger effect on environmental responsibility when taken together with global environmental concerns. In addition, both domestic and global environmental concerns could help transform environmental knowledge and attitudes into environmental responsibility. Only environmental attitudes had no direct effect on responsibility. These results show that domestic and global catastrophic environmental events could raise students’ levels of concern for the environment, and, ultimately, enhance their sense of moral responsibility to protect the environment.
Tourism and Development in Developing Economies: A Policy Implication Perspective
Authors: Khan Asif , Bibi Sughra , Lorenzo Ardito , Lyu Jiaying , Babar Zaheer Udden
Published: February 2020

Tourism is considered a competent driver of development in emerging economies. This study assesses the role of tourism in shaping the fundamental pillars of development in developing economies by targeting the case of Pakistan. Various econometric techniques and approaches were used to investigate the causal relationships of tourism with economic growth, energy and agriculture development, and poverty. This study highlights the important role of tourism in the development of emerging economies. The findings of our study suggest that a 1% increase in tourism significantly enhances gross domestic product (GPD) by 0.051%, foreign direct investment by 2.647%, energy development by 0.134%, and agriculture development by 0.26%, and reduces poverty by 0.51% in the long run. Hence, policy-makers should be informed that through public interventions, tourism can advance development by the design and implementation of integrated policies in developing economies. In addition, policy consistency and coherence are essential for competitiveness, sustainability, and maximizing benefits from tourism.
Absorptive Desulfurization of Model Biogas Stream Using Choline Chloride-Based Deep Eutectic Solvents
Authors: Słupek Edyta , Makoś Patrycja
Published: February 2020

The paper presents a synthesis of deep eutectic solvents (DESs) based on choline chloride (ChCl) as hydrogen bond acceptor and phenol (Ph), glycol ethylene (EG), and levulinic acid (Lev) as hydrogen bond donors in 1:2 molar ratio. DESs were successfully used as absorption solvents for removal of dimethyl disulfide (DMDS) from model biogas steam. Several parameters affecting the absorption capacity and absorption rate have been optimized including kinds of DES, temperature, the volume of absorbent, model biogas flow rate, and initial concentration of DMDS. Furthermore, reusability and regeneration of DESs by means of adsorption and nitrogen barbotage followed by the mechanism of absorptive desulfurization by means of density functional theory (DFT) as well as FT-IR analysis were investigated. Experimental results indicate that the most promising DES for biogas purification is ChCl:Ph, due to high absorption capacity, relatively long absorption rate, and easy regeneration. The research on the absorption mechanism revealed that van der Waal interaction is the main driving force for DMDS removal from model biogas.
Relationship among CSR Initiatives and Financial and Non-Financial Corporate Performance in the Ecuadorian Banking Environment
Authors: Tulcanaza-Prieto Ana Belen , Shin HoKyun , Lee Younghwan , Lee Chang
Published: February 2020

This study explores the relationship between corporate performance and corporate social responsibility (CSR) initiatives in the Ecuadorian banking environment. The first model employs both return on assets and return on equity as proxy for the financial performance while the second model includes the non-financial corporate performance constructs collected by a self-designed online questionnaire. We found a statistically positive relationship among CSR initiates and the financial and non-financial indicators in corporate performance. Our findings revealed that economic, legal, ethical, and philanthropic responsibility initiatives positively affect the non-financial corporate performance of the Ecuadorian banking environment. Similarly, the non-financial corporate performance is significantly positively influenced by the customer’s brand trust, customer’s brand loyalty, customer’s perception of quality, and customer satisfaction. Study results are mostly consistent with the banking environment of other countries, especially in Bangladesh, Pakistan, and Lebanon. Customers of the Ecuadorian banking environment perceived banks as socially responsible entities and Ecuadorian banks invest resources in CSR activities as a corporate governance policy to increase their financial and non-financial performance. Future research should include a corporate governance index with a CSR component as an independent variable to increase statistical models’ power.
Bio-Based Products in the Automotive Industry: The Need for Ecolabels, Standards, and Regulations
Authors: Wurster Simone , Ladu Luana
Published: February 2020

At the Hanover Fair in April 2018, the Bioconcept-Car was presented as a model for the future of sustainable mobility. Likewise, a car made of cellulose nanofiber was presented at the Tokyo Motor Show in 2019. Various additional automotive applications for bio-based materials have been developed, some of which are already in use in cars. However, supportive measures for stimulating their market acceptance are needed. Based on a mix of research methods, this article describes how ecolabels, sustainability standards, and regulations might support the market uptake of bio-based car components. In addition, comparison with three other types of bio-based products are provided. The article ends with suggestions for future market development activities.
The Effects of Foreign Direct Investment, Economic Growth, Industrial Structure, Renewable and Nuclear Energy, and Urbanization on Korean Greenhouse Gas Emissions
Authors: Kim Suyi
Published: February 2020

This study analyzes the effects of foreign direct investment (FDI), economic growth, industrial structure, renewable and nuclear energy, and urbanization on Korean greenhouse gas (GHG) emissions from 1981 to 2014. The cointegration relationship of the variables is examined using autoregressive distributed lag (ARDL) bounds test. The test confirmed the long-run equilibrium among the variables. After that, the short-run and long-run coefficients are estimated by an ARDL error-correction model. The result shows that in the long run, economic growth and urbanization are the main contributors to the increase of GHG emissions, while manufacturing industry share, renewable energy and nuclear energy contributed to the reduction of GHG emissions. The inflow of FDI has led to the increase of greenhouse gases, but the coefficients is negligible. In the short run, economic growth has caused an increase in GHG emissions, while renewable and nuclear energy have contributed to the reduction in GHG emissions. FDI and urbanization did not play a role in increasing of GHG emissions in the short term.
Prediction of Soil Nutrients Based on Topographic Factors and Remote Sensing Index in a Coal Mining Area, China
Authors: Zhu Hongfen , Sun Ruipeng , Xu Zhanjun , Lv Chunjuan , Bi Rutian
Published: February 2020

(1) Background: Coal mining operations caused severe land subsidence and altered the distributions of soil nutrients that influenced by multiple environmental factors at different scales. However, the prediction performances for soil nutrients based on their scale-specific relationships with influencing factors remains undefined in the coal mining area. The objective of this study was to establish prediction models of soil nutrients based on their scale-specific relationships with influencing factors in a coal mining area. (2) Methods: Soil samples were collected based on a 1 × 1 km regular grid, and contents of soil organic matter, soil available nitrogen, soil available phosphorus, and soil available potassium were measured. The scale components of soil nutrients and the influencing factors collected from remote sensing and topographic factors were decomposed by two-dimensional empirical mode decomposition (2D-EMD), and the predictions for soil nutrients were established using the methods of multiple linear stepwise regression or partial least squares regression based on original samples (MLSROri or PLSROri), partial least squares regression based on bi-dimensional intrinsic mode function (PLSRBIMF), and the combined method of 2D-EMD, PLSR, and MLSR (2D-EMDPM). (3) Results: The correlation types and correlation coefficients between soil nutrients and influencing factors were scale-dependent. The variances of soil nutrients at smaller scale were stochastic and non-significantly correlated with influencing factors, while their variances at the larger scales were stable. The prediction performances in the coal mining area were better than those in the non-coal mining area, and 2D-EMDPM had the most stable performance. (4) Conclusions: The scale-dependent predictions can be used for soil nutrients in the coal mining areas.
Methodology for Carbon Footprint Calculation Towards Sustainable Innovation in Intangible Assets
Authors: Loyarte-López Edurne , Barral Mario , Morla Juan Carlos
Published: February 2020

Calculating the carbon footprint is fundamental to understand how an organization’s activities impact global sustainability. The main challenge is how to calculate it when environmental aspects are intangible assets. The present paper investigates in what ways the environmental effects of 13 aspects in relation with R&D activities in an applied research center could contribute to sustainable development. For this purpose, we described methodology to routinely measure greenhouse gas (GHG) emissions and calculate the carbon footprint (CF) of all research activities related to intangible assets (R&D projects, researchers’ knowledge and software libraries) with real-time data being provided. Selection of conversion factors to express all GHG emissions are described, in particular those related to air travel on account of its greatest contribution to CF. In addition, these data were used as a factor in assessing the environmental impact of the center, under ISO 14001. As a result, our center can manage its CF and make decisions about how to enhance sustainability awareness at all levels of the organization and gradually improve CF data, of which the main contributors were transportation and travel (66.4%) and electricity (33.1%) in 2018.
Assessing the Ecosystem Services of Various Types of Urban Green Spaces Based on i-Tree Eco
Authors: Song Peihao , Kim Gunwoo , Mayer Audrey , He Ruizhen , Tian Guohang
Published: February 2020

Urban green spaces play a crucial role in maintaining urban ecosystem sustainability by providing numerous ecosystem services. How to quantify and evaluate the ecological benefits and services of urban green spaces remains a hot topic currently, while the evaluation is barely applied or implemented in urban design and planning. In this study, super-high-resolution aerial images were used to acquire the spatial distribution of urban green spaces; a modified pre-stratified random sampling method was applied to obtain the vegetation information of the four types of urban green spaces in Luohe, a common plain city in China; and i-Tree Eco model was further used to assess the vegetation structure and various ecosystem services including air quality improvement, rainfall interception, carbon storage, and sequestration provided by four types of urban green spaces. The modeling results reveal that there were about 1,006,251 trees in this area. In 2013, all the trees in these green spaces could store about 54,329 t of carbon, sequester about 4973 t of gross carbon, remove 92 t of air pollutants, and avoid 122,637 m3 of runoff. The study illustrates an innovative method to reveal different types of urban green spaces with distinct ecosystem service productivity capacity to better understand their various roles in regulating the urban environment. The results could be used to assist urban planners and policymakers to optimize urban green space structure and composition to maximize ecosystem services provision.
Student Competitions as a Learning Method with a Sustainable Focus in Higher Education: The University of Seville “Aura Projects” in the “Solar Decathlon 2019”
Authors: Herrera-Limones Rafael , Rey-Pérez Julia , Hernández-Valencia Miguel , Roa-Fernández Jorge
Published: February 2020

In recent times, teaching in higher education has undergone a significant transformation. Current advances and innovative proposals in educational science research are centred around a transdisciplinary approach, the so-called integrated curriculum and the incorporation of the transversal concept of sustainability. In summary, the so-called learning processes through problem-solving. The Solar Decathlon Competition is the most prestigious international university student competition for sustainable habitat. The aim of this article is to show how the Aura Strategy, developed by the University of Seville Solar Decathlon Team to participate in the Solar Decathlon 2019 Latin America and Europe competitions, is aligned with the aforementioned proposals. Among the results, the generation of a transforming teaching network of the departmental structures in the University of Seville is to be highlighted. These transformations in teaching lead students to new, broader and more holistic approaches to study, as well as new capabilities and skills. The question of interdisciplinarity requires new tools and research lines to achieve successful implementation in higher education, and the participation in the Solar Decathlon Competition is one of them.
Substantiating the Logistics Chain Structure While Servicing the Flow of Requests for Road Transport Deliveries
Authors: Naumov Vitalii
Published: February 2020

The selection of the delivery scheme is one of the most complicated problems and the results of its solution condition the sustainable development of the whole market of transportation services. Freight forwarders should consider numerous random parameters characterizing demand and technological processes to choose the proper structure of the logistics chain. The paper aims to propose a method for choosing the logistics chain structure, based on the analysis of the total expenses as a function from the demand parameters characterizing stochastic variables of the consignment weight, the delivery distance, and the time interval between the requests in the flow of queries for cargo delivery. Four basic logistics chain structures, widely used on road transport, are described to demonstrate the selection process. The areas of the most efficient use of the logistics chain structures can be defined for the flow of requests for cargo deliveries. The paper shows such areas on the example of goods delivery by automobile transport. Determining the areas of the most efficient use of the specific logistics chain structures contributes to the effective choice of correct delivery variants by freight forwarders.
Evaluation and Forewarning Management of Regional Resources and Environment Carrying Capacity: A Case Study of Hefei City, Anhui Province, China
Authors: Zhang Guiyou , Luo Shuai , Jing Zhuowei , Wei Shuo , Ma Youhua
Published: February 2020

The evaluation of resources and environment carrying capacity (RECC) is the basis of strategic policy for the development and utilization of regional resources, economic development, and environmental protection. The magnitude of carrying capacity of resources and environment is the result of the balance of multiple aspects including economy, resources, and society. In order to reflect this multi-dimensional vector relationship, a multi-level and multi-targeted evaluation index system needs to be constructed. The paper, adopting the analytic hierarchy process and including PM2.5 (Particulate matter with diameter less than or equal to 2.5 microns in the atmosphere) into the index system, establishes the evaluation system of regional RECC and analyzes the trend of RECC in Hefei city with the index system to put forward the countermeasures of forewarning management. The results are shown as follows: (1) Overall, the RECC in Hefei city presents a declining trend, with a reduction from a middle to lower level during the year 2009 to 2013, of which the year 2010 to 2011 showed the fastest decline and the year 2013 witnessed a slight increase; (2) from the perspective of mutual influence of indexes, the main reason causing the decline of RECC in Hefei city is that the natural resources and environment carrying capacity was in a declining trend from the year 2009 to 2013, respectively declining from middle and high levels to a lower level, while the social economy carrying capacity in Hefei city was in an increasing trend as a whole from the year 2009 to 2013, with an increase from lower level to middle level. From the perspective of the forewarning management of RECC, it focuses on improving the forewarning response system of regional resources and environment carrying capacity, establishes the sharing mechanism of RECC monitoring data and improves the responsibility assigning mechanism of RECC. The study enriches the evaluation index system of RECC and proves that it is reasonable and efficient to build a differentiated index system to scientifically recognize RECC in different regions, having reference value to evaluate similar regional RECC.
Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia
Authors: Putra Andi , Tong Guangji , Pribadi Didit
Published: February 2020

Food security has become one of the global challenges; therefore, monitoring food consumption is required. As food consumption is a resultant of food availability at an affordable price, food expenditure actually is a key indicator to assess food security policy. Particularly, the link of food expenditure with socio-economic factors based on the perspective of spatial connectivity should be understood as nowadays food supply and demand between regions are increasingly connected. This study aims to define socio-economic driving factors of food expenditure that considering spatial connectivity between provinces in Indonesia. Data of household food expenditure and socio-economic factors by province including urbanization level, economic growth, gross domestic regional product (GDRP) per capita, poverty severity index, and unemployment rate were used. The preliminary test on the spatial correlation of food expenditure showed a significant result; thus, a spatial regression approach was employed. The results showed that declining food expenditure did not simply indicate increasing prosperity. Larger income disparity among the poor has become crucial to detect lower food expenditure caused by a lack of income. In addition, the increasing unemployment rate was followed by increasing food expenditure. Despite economic growth, increasing GDRP per capita and urbanization contributing to declining food expenditure, both poverty and unemployment are the main issues that threaten household’s ability to afford food. Furthermore, the effect of food expenditure in the neighboring region is also significant, but it shows a contradictory relationship as food expenditure in a region is decreasing when food expenditure in its neighbors is increasing, and vice versa. Therefore, reducing disparities in economic growth, GDRP per capita, urbanization, poverty, and unemployment rate between provinces is also crucial to support more equal food expenditure as well as to achieve the second goal of SDG’s (Sustainable Development Goals) in improving food security.
TCR Repertoire Characterization for T Cells Expanded in Response to hRSV Infection in Mice Immunized with a Recombinant BCG Vaccine
Authors: Rey-Jurado Emma , Bohmwald Karen , Correa Hernán G. , Kalergis Alexis M.
Published: February 2020

T cells play an essential role in the immune response against the human respiratory syncytial virus (hRSV). It has been described that both CD4+ and CD8+ T cells can contribute to the clearance of the virus during an infection. However, for some individuals, such an immune response can lead to an exacerbated and detrimental inflammatory response with high recruitment of neutrophils to the lungs. The receptor of most T cells is a heterodimer consisting of α and β chains (αβTCR) that upon antigen engagement induces the activation of these cells. The αβTCR molecule displays a broad sequence diversity that defines the T cell repertoire of an individual. In our laboratory, a recombinant Bacille Calmette–Guérin (BCG) vaccine expressing the nucleoprotein (N) of hRSV (rBCG-N-hRSV) was developed. Such a vaccine induces T cells with a Th1 polarized phenotype that promote the clearance of hRSV infection without causing inflammatory lung damage. Importantly, as part of this work, the T cell receptor (TCR) repertoire of T cells expanded after hRSV infection in naïve and rBCG-N-hRSV-immunized mice was characterized. A more diverse TCR repertoire was observed in the lungs from rBCG-N-hRSV-immunized as compared to unimmunized hRSV-infected mice, suggesting that vaccination with the recombinant rBCG-N-hRSV vaccine triggers the expansion of T cell populations that recognize more viral epitopes. Furthermore, differential expansion of certain TCRVβ chains was found for hRSV infection (TCRVβ+8.3 and TCRVβ+5.1,5.2) as compared to rBCG-N-hRSV vaccination (TCRVβ+11 and TCRVβ+12). Our findings contribute to better understanding the T cell response during hRSV infection, as well as the functioning of a vaccine that induces a protective T cell immunity against this virus.