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 Modeling and Analysis of Barriers to Climate Change Adaptation in Tehran

Climate ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 104
Author(s):  
Behnam Ghasemzadeh ◽  
Ayyoob Sharifi
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Structural Equation ◽  
Group Discussion ◽  
Climate Change Impacts ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Adaptation Measures ◽  
Modeling And Analysis ◽  
Management Plans

Since the impacts of climate change will last for many years, adaptation to this phenomenon should be prioritized in urban management plans. Although Tehran, the capital of Iran, has been subject to a variety of climate change impacts in recent years, appropriate adaptation measures to address them are yet to be taken. This study primarily aims to categorize the barriers to climate change adaptation in Tehran and analyze the way they interact with each other. The study was done in three steps: first, the focus group discussion (FGD) method was used to identify the barriers; next, the survey and the structural equation modeling (SEM) were used to validate the barriers, identify their importance, and examine their possible inter-relationships; and finally, the interpretive structural modeling (ISM) was applied to categorize and visualize the relationships between the barriers. Results show that barriers related to the ‘structure and culture of research’, ‘laws and regulations’, and ‘planning’ belong to the cluster of independent barriers and are of greater significance. The ‘social’ barrier and barriers related to ‘resources and resource management’ are identified as dependent barriers and are of lesser importance. Barriers related to ‘governance’, ‘awareness’, ‘education and knowledge’, ‘communication and interaction’, and ‘economy’ are identified at the intermediate cluster. The findings of this study can provide planners and decision makers with invaluable insights as to how to develop strategies for climate change adaptation in Tehran. Despite the scope of the study being confined to Tehran, its implications go far beyond this metropolis.

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 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 The protection motivation theory for predict intention of COVID-19 vaccination in Iran: a structural equation modeling approach

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alireza Ansari-Moghaddam ◽  
Maryam Seraji ◽  
Zahra Sharafi ◽  
Mahdi Mohammadi ◽  
Hassan Okati-Aliabad
Keyword(s):  
Structural Equation Modeling ◽  
Self Efficacy ◽  
Structural Equation ◽  
Adult Population ◽  
Protection Motivation Theory ◽  
Equation Modeling ◽  
Protection Motivation ◽  
Motivation Theory ◽  
Perceived Severity ◽  
Response Efficacy

Abstract Background Many efforts are being made around the world to discover the vaccine against COVID-19. After discovering the vaccine, its acceptance by individuals is a fundamental issue for disease control. This study aimed to examine COVID-19 vaccination intention determinants based on the protection motivation theory (PMT). Methods We conducted a cross-sectional study in the Iranian adult population and surveyed 256 study participants from the first to the 30th of June 2020 with a web-based self-administered questionnaire. We used Structural Equation Modeling (SEM) to investigate the interrelationship between COVID-19 vaccination intention and perceived susceptibility, perceived severity, perceived self-efficacy, and perceived response efficacy. Results SEM showed that perceived severity to COVID-19 (β = .17, p < .001), perceived self-efficacy about receiving the COVID-19 vaccine (β = .26, p < .001), and the perceived response efficacy of the COVID-19 vaccine (β = .70, p < .001) were significant predictors of vaccination intention. PMT accounted for 61.5% of the variance in intention to COVID-19 vaccination, and perceived response efficacy was the strongest predictor of COVID-19 vaccination intention. Conclusions This study found the PMT constructs are useful in predicting COVID-19 vaccination intention. Programs designed to increase the vaccination rate after discovering the COVID-19 vaccine can include interventions on the severity of the COVID-19, the self-efficacy of individuals receiving the vaccine, and the effectiveness of the vaccine in preventing infection.

scholarly journals The Protection motivation theory for predict intention of COVID-19 vaccination in Iran: A structural equation modeling approach

2021 ◽  
Author(s):  
Alireza Ansari-Moghaddam ◽  
Maryam Seraji ◽  
Zahra Sharafi ◽  
Mahdi Mohammadi ◽  
Hassan Okati-Aliabad
Keyword(s):  
Structural Equation Modeling ◽  
Self Efficacy ◽  
Structural Equation ◽  
Adult Population ◽  
Protection Motivation Theory ◽  
Equation Modeling ◽  
Protection Motivation ◽  
Motivation Theory ◽  
Perceived Severity ◽  
Response Efficacy

Abstract BackgroundMany efforts are being made around the world to discover the vaccine against COVID-19. After discovering the vaccine, its acceptance by individuals is a fundamental issue for disease control. This study aimed to examine COVID-19 vaccination intention determinants based on the protection motivation theory (PMT). Methods We conducted a cross-sectional study in the Iranian adult population and surveyed study participants from the first to the 30th of June 2020 with a web-based self-administered questionnaire. We used Structural Equation Modeling (SEM) to investigate the interrelationship between COVID-19 vaccination intention and perceived susceptibility, perceived severity, perceived self-efficacy, and perceived response efficacy. Results SEM showed that perceived severity to COVID-19 (β=.17, p < .001), perceived self-efficacy about receiving the COVID-19 vaccine (β=.26, p < .001), and the perceived response efficacy of the COVID-19 vaccine (β=.70, p < .001) were significant predictors of vaccination intention. PMT accounted for 61.5% of the variance in intention to COVID-19 vaccination, and response efficacy was the strongest predictor of COVID-19 vaccination intention. ConclusionsThis study found the PMT constructs are useful in predicting COVID-19 vaccination intention. Programs designed to increase the vaccination rate after discovering the COVID-19 vaccine can include interventions on the severity of the COVID-19, the self-efficacy of individuals receiving the vaccine, and the effectiveness of the vaccine in preventing infection.

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.

scholarly journals MEASURING THE DETERMINANTS OF ADAPTIVE CAPACITY TO UNDERSTAND THE VULNERABILITY RISK AMONG THE RIVERBANK EROSION AFFECTED HOUSEHOLDS IN BANGLADESH: A STRUCTURAL EQUATION MODELING (SEM) APPROACH

2021 ◽  
Vol 9 (10) ◽  
pp. 1323-1336
Author(s):  
Israt Zahan ◽  
Keyword(s):  
Climate Change ◽  
Structural Equation Modeling ◽  
Adaptive Capacity ◽  
Structural Equation ◽  
Local Level ◽  
Adaptation Strategies ◽  
Equation Modeling ◽  
Future Research ◽  
Riverbank Erosion ◽  
The Impact

Bangladesh is one of the most disaster-prone countries in the world. In particular, its riverine dwellers face continuous riverbank erosion, frequent flooding, and other adverse effects of climate change which makes the life of people more vulnerable. In order to assess adaptive capacity, understanding of how different households comprehend climate change is crucial. This paper aims to measure the determinants of adaptive capacityto understand the vulnerability risk among the riverbank erosion affected households. An integrated model was proposed with the constructs derived from Awareness-Ability-Action (AAA) and Socioeconomic-Sociopolitical and Institutional-Socioecological (SSS) model. A structured questionnaire survey was used to collect data from 300 participants who were affected by natural disaster specifically river erosion. The proposed research model was tested using the partial least-squares (PLS) method, a statistical analysis technique based upon structural equation modeling (SEM).The results show that the loss of farming land and all levels of riparian households impacted severely by riverbank erosion and forced into a low livelihood status, strong adaptive capacity would reduce vulnerability risk in the affected areas, community-level vulnerability measurement enhances communities understandings, build capacity, make aware, and allow them to identify appropriate locally adaptation strategies, and local level adaptation strategies may reduce the impact of such hazards on all sorts of vulnerability risk among rural households. The nature of this study may restrict its generalizability to other research settings. Future research may be necessary to validate the findings by applying this model in the vulnerability context in other developing countries. This research method and results would generate new insights with respect to planning the sustainable development goal and provide a reference for decision-making.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

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