scholarly journals Influence of Religion, Culture and Education on Perception of Climate Change and its Implications: Applying Structural Equation Modeling (SEM)

2019 ◽  
Vol 14 (9) ◽  
pp. 1303-1308
Author(s):  
Daisuke Sasaki ◽  
Irene Taafaki ◽  
Takuia Uakeia ◽  
Jennifer Seru ◽  
Yolanda McKay ◽  
...  
Keyword(s):  
Climate Change ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Basic Structure ◽  
Marshall Islands ◽  
Equation Modeling ◽  
Path Coefficient ◽  
The Republic ◽  
Culture Education ◽  
International Collaborative Research

Currently, structural equation modeling (SEM) is widely used in the discipline of social sciences because of its capability in exploring causal relationships among variables. By applying SEM, this study aims to verify the hypothesis that there exist three fundamental factors (religion, culture, education) that influence the perception of climate change. The researchers took advantages of the output results of the questionnaire survey that had been conducted both in Majuro, the Republic of the Marshall Islands (RMI) and in Tarawa, Republic of Kiribati, in an international collaborative research project titled “How Religion, Culture and Education Influence the Perception of People about Climate Change.” The results indicated that the two cases, namely RMI and Kiribati, were similar; that is the basic structure of both cases in the background of climate change bears some resemblance. Meanwhile, it should be noted that the path coefficient from education to the perception of climate change in the case of Kiribati (0.86) is much higher than that in the case of RMI (0.47). Thus, it is implied that education may significantly influence the perception of people about climate change and its implications, both in RMI and Kiribati. Based on this finding, it is advocated that further efforts should be devoted to education so that the perception of people about climate change and its implications can get much clearer.

Structural Equation Modeling Facilitates Transdisciplinary Research on Agriculture and Climate Change

Crop Science ◽  
2014 ◽  
Vol 54 (2) ◽  
pp. 475-483 ◽  
Author(s):  
Richard. G. Smith ◽  
Adam S. Davis ◽  
Nicholas R. Jordan ◽  
Lesley W. Atwood ◽  
Amanda B. Daly ◽  
...  
Keyword(s):  
Climate Change ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Transdisciplinary Research ◽  
Equation Modeling

scholarly journals Climate Change, Migration, and Vulnerability

2019 ◽  
Vol 14 (9) ◽  
pp. 1245-1245
Author(s):  
Mikiyasu Nakayama ◽  
Scott Drinkall ◽  
Daisuke Sasaki
Keyword(s):  
Climate Change ◽  
United States ◽  
Case Studies ◽  
Structural Equation ◽  
Forced Migration ◽  
The United States ◽  
Marshall Islands ◽  
Equation Modeling ◽  
Special Issue ◽  
Sea Levels

As global sea levels continue to rise, atoll countries—facing persistent and imminent risk—are expected to become source nations of climate migrants in the foreseeable future. This special issue features 10 academic articles, which examine if residents in Pacific atoll countries were, are, or will be ready to re-establish their livelihoods after relocation. The topic of migration is akin to a kaleidoscope, with continuously evolving shapes and colors, necessitating a broad spectrum of approaches across various disciplines. The authors of these articles thus examined the topic through mathematics, civil engineering, cultural and disaster studies, economics, education, geography, international relations, language, law, sociology and politics. The methodologies applied range from policy analysis to structural equation modeling. Migration driven by climate change takes place gradually, even over a few decades. Unlike forced migration due to causes such as war and conflict, future climate migrants have the short-term advantage of time to ready themselves for displacement from their homeland. Preparation prior to relocation may include enhancing one’s language or vocational skills. One of the focal points of this special issue is therefore the preparedness of migrants, both past and future. Case studies were carried out across Fiji, Kiribati, the Marshall Islands, Micronesia, and the United States. We also considered how migrants are received following resettlement, both in terms of legal instruments and assistance given by the public and private sectors. Case studies conducted in Austria and the United States address this aspect. Yet another focus is to identify prevailing factors through which people develop their perceptions of climate change and its implications, for such perceptions are a driving force for migration. Case studies in Kiribati and the Marshall Islands contribute to this understanding. We hope this special issue sharpens the vision of climate change and migration, and serves as a stepping stone for further research in the field.

scholarly journals The Prospective Consumers of the Indonesian Green Aviation Initiative for Sustainable Development in Air Transportation

2018 ◽  
Vol 10 (6) ◽  
pp. 1772 ◽  
Author(s):  
Ismi Rajiani ◽  
Sebastian Kot
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Structural Equation Modeling ◽  
Greenhouse Gas ◽  
Structural Equation ◽  
Focal Point ◽  
Air Transportation ◽  
Equation Modeling ◽  
Innovation Model ◽  
The Relationship

The Indonesia government’s pledge on moderation climate change and greenhouse gas decline will affect the development of energy and transportation. However, shifting to these new green products is naturally problematic. Recognizing the prospective customer is even more challenging if there is no prediction base. This study is concentrated on discerning the inclinations to forecast the potential consumers by applying Schwartz’s Portrait Value Questionnaire (PVQ), mediated with three established groups, namely: the (1) LOHAS (Lifestyle of Health and Sustainability); (2) traditionalists and (3) career-oriented. By referring to five diffusions of an innovation model, the adopters who are prospectively using the green aviation are assessed. The negative path to technology enthusiast and visionaries denote no market. However, if these two niches are found, they will become the focal point for segmenting the market. The relationship among the constructs is assessed using structural equation modeling on 178 samples that are residing in main cities of Indonesia.

scholarly journals Farmers’ Intention to Climate Change Adaptation in Agriculture in the Red River Delta Biosphere Reserve (Vietnam): A Combination of Structural Equation Modeling (SEM) and Protection Motivation Theory (PMT)

2019 ◽  
Vol 11 (10) ◽  
pp. 2993 ◽  
Author(s):  
The Anh Luu ◽  
An Thinh Nguyen ◽  
Quoc Anh Trinh ◽  
Van Tuan Pham ◽  
Ba Bien Le ◽  
...  
Keyword(s):  
Climate Change ◽  
Structural Equation Modeling ◽  
Climate Change Adaptation ◽  
Structural Equation ◽  
Biosphere Reserve ◽  
Protection Motivation Theory ◽  
Red River ◽  
Equation Modeling ◽  
Red River Delta ◽  
Climate Risks

Coastal communities living in the low delta areas of Vietnam are increasingly vulnerable to tropical storms and related natural hazards of global climate change. Particularly in the Red River Delta Biosphere Reserve (RRDBR), farmers change the crop structure and diversify agricultural systems to adapt to the changing climate. The paper deals with a quantitative approach combined with behavior theories and surveyed data to analyze farmers’ intention to climate change adaptation in agriculture. Based on the Protection Motivation Theory (PMT), seven constructs are developed to a questionnaire surveying 526 local farmers: risk perception, belief, habit, maladaptation, subjective norm, adaptation assessment, and adaptation intention. Structural Equation Modeling (SEM) is implemented to extract eight factors and to quantify the relationship between protective behavior factors with the adaptation intention of the surveyed farmers. Two bootstrap samples of sizes 800 and 1200 are generated to estimate the coefficients and standard errors. The SEM result suggests a regional and three local structural models for climate change adaptation intention of farmers living in the RRDBR. Farmers show a higher adaptation intention when they perceive higher climate risks threatening their physical health, finances, production, social relationships, and psychology. In contrast, farmers are less likely to intend to adapt when they are subject to wishful thinking, deny the climate risks, or believe in fatalism.

scholarly journals Dealing With Artificially Dichotomized Variables in Meta-Analytic Structural Equation Modeling

2020 ◽  
Vol 228 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Hannelies de Jonge ◽  
Suzanne Jak ◽  
Kees-Jan Kan
Keyword(s):  
Structural Equation Modeling ◽  
Effect Size ◽  
Structural Equation ◽  
Simulated Data ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Simulation Studies ◽  
Continuous Variables ◽  
Biserial Correlation ◽  
Multiple Variables

Abstract. Meta-analytic structural equation modeling (MASEM) is a relatively new method in which effect sizes of different independent studies between multiple variables are typically first pooled into a matrix and next analyzed using structural equation modeling. While its popularity is increasing, there are issues still to be resolved, such as how to deal with primary studies in which variables have been artificially dichotomized. To be able to advise researchers who apply MASEM and need to deal with this issue, we performed two simulation studies using random-effects two stage structural equation modeling. We simulated data according to a full and partial mediation model and systematically varied the size of one (standardized) path coefficient (β MX = .16, β MX = .23, β MX = .33), the percentage of dichotomization (25%, 75%, 100%), and the cut-off point of dichotomization (.5, .1). We analyzed the simulated datasets in two different ways, namely, by using (1) the point-biserial and (2) the biserial correlation as effect size between the artificially dichotomized predictor and continuous variables. The results of these simulation studies indicate that the biserial correlation is the most appropriate effect size to use, as it provides unbiased estimates of the path coefficients in the population.

scholarly journals Structural Equation Modeling-Partial Least Square for Poverty Modeling in Papua Province

Jurnal Varian ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 79-90
Author(s):  
Wirajaya Kusuma ◽  
Rifani Nur Sindy Setiawan ◽  
Kirti Verma ◽  
Carina Firstca Utomo
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Poverty Rate ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Path Coefficients ◽  
Health Variable

Poverty in Papua Province in 2018 has increased from the previous year. The poverty rate in Papua Province in March 2018 reached 27,74%. This study aims to analyze the factors that influence it so that it can be handled properly. The research method used in this research is Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach. The research variables used consisted of 4 latent variables (Poverty, Economy, Human Resources (HR), and Health) with 16 indicators (manifest variables). Based on the analysis that has been done, it is found that economic and health variables have a negative and significant effect on poverty with path coefficients of -0,421 and -0,270, respectively. The health variable has a positive and significant effect on HR with a path coefficient of 0,496. Meanwhile, the HR variable has a positive and significant effect on the economy with a path coefficient of 0,801. It can be concluded that there are two variables that have a significant effect on poverty in Papua Province, including the economy and health.

scholarly journals PENGARUH RELATIONSHIP MARKETING TERHADAP KEPUASAN NASABAH DAN LOYALITAS NASABAH BANK RAKYAT INDONESIA DI SULAWESI TENGGARA

2017 ◽  
Vol 11 (3) ◽  
pp. 411
Author(s):  
Sudirman Zaid
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Relationship Marketing ◽  
Customer Loyalty ◽  
Indirect Effect ◽  
Structural Equation ◽  
Equation Modeling ◽  
Path Coefficient ◽  
The Relationship

This research is intended to test the effect of relationship marketing upon customer satisfaction and customer loyalty of the Bank Raykat Indonesia in Southeast Sulawesi. This research applies the explanatory type, namely a research conducted by giving an explanation on the symptoms produced by object of research.The samples of this research involve 200 saving deposits customer of Bank Rakyat Indonesia distributed based on purposive allocation of each Bank Rakyat Indonesia in Southeast Sulawesi. Then, they are analyzed by using SEM (structural equation modeling) by applying the program AMOS (analysis of moment structure) 4.01.The result of this research indicate that the relationship marketing have the positive and significant effect to the customer satisfaction and customer loyalty with the path coefficient each 0.556 and 0.501. And than, customer satisfaction have the positive and significant effect to the customer loyalty with the path coefficient 0.479. Beside that, the relationship marketing have the indirect effect to the customer loyalty, mediated customer satisfaction with the path coefficient 0.266.

scholarly journals EFFECT OF SERVICE QUALITY AND PROMOTION ON PURCHASE DECISIONS AND THEIR IMPLICATIONS ON CUSTOMER SATISFACTION

2020 ◽  
Vol 6 (6) ◽  
pp. 51-62
Author(s):  
Noro Fajar Prianggoro ◽  
Arifin Sitio
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Structural Equation ◽  
Equation Modeling ◽  
Purchase Decisions ◽  
Purchasing Decisions ◽  
Informal Workers ◽  
Social Security Programs ◽  
The Republic

This study aims to analyze the effect of Service Quality and Promotion on Purchasing Decisions and Their Implications on Customer Satisfaction. In accordance with the Presidential Regulation of the Republic of Indonesia number 109 of 2013 concerning the phasing in the participation of social security programs, the BPJS Employment consists of two fields, namely the Wage Recipient and Non-Wage Recipient fields. With the sanctions and regulations imposed on the Wage Recipient field, the reach of participants will be easier, in contrast to the Non-Wage Recipient (BPU) field which consists of independent workers (informal) will tend to be more difficult considering the different backgrounds and professions of informal workers certainly must have good quality public services to gain public trust in BPJS Employment. The type of research used for this study was to use descriptive analytic research. the population in this study was BPJS Employment of Banten Region customers. The sampling based on the theory of Structural Equation Modeling (SEM) amounted to 100 respondents. The results of this study indicate that (1) Service Quality has a positive and significant effect on Purchasing Decisions, (2) Promotion has a positive and significant effect on Purchasing Decisions, (3) Service Quality has a significant indirect effect on Customer Satisfaction, (4) Influential Promotion indirectly significantly towards Customer Satisfaction, and (5) Purchasing Decisions have a positive and significant effect on Customer Satisfaction.

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