scholarly journals Willingness to Pay for Public Benefit Functions of Daecheong Dam Operation: Moderating Effects of Climate Change Perceptions

2021 ◽  
Vol 13 (24) ◽  
pp. 14060
Author(s):  
Heekyun Oh ◽  
Seongjun Yun ◽  
Heechan Lee

This study estimates the economic value of the Daecheong Dam for the public function of responding to climate change. It examines the moderating effect of climate change perceptions on value estimates by applying choice experiments (CE). The study specifies three dam function attributes—drought management (DM), flood control (FC), and water quality monitoring (WM)—subdivided into three levels to improve the existing conditions. Survey data from 603 households living in Daejeon, Chungbuk, and Chungnam have been collected to perform the CE. Subsequently, two clusters—high-involvement and low-involvement groups—have been extracted, based on the climate change perception index. The main results of comparing the marginal willingness-to-pay between the two clusters are as follows. The attributes and price variable significantly affected the choice probability to benefit from improvements in the rational signs of the coefficients. This does not violate the independence of the irrelevant alternatives assumption. The improvement values of high-involvement and low-involvement groups are estimated as KRW 21,570 and KRW 14,572 a year per household, respectively. Both show the same value intensities in the order of WM, DM, and FC.

2019 ◽  
Vol 8 (2) ◽  
pp. 31 ◽  
Author(s):  
Nugun Jellason ◽  
Richard Baines ◽  
John Conway ◽  
Chukwuma Ogbaga

As climate change is projected to increase in vulnerable areas of the world, we examined farmers’ perceptions of this change and their attitudes to adaptation in two communities (Zango and Kofa) in northwestern Nigeria. A total of 220 arable farming households completed a livelihoods survey preplanting. The perceptions survey was followed by a survey of 154 households post-harvest for the attitudes questions based on the theory of planned behaviour (TPB). In addition to the positive responses from the farmers towards climate change perceptions, TPB findings reveal that such perceptions could lead to intentions to adapt as determinants of attitude were significant. Subjective norm was a significant predictor of adaptation intention in Kofa, but not in Zango. Perceived behavioural control, though useful, was not a determinant of climate change adaptation intention. Most importantly, principal component analysis (PCA) of climate change perception variables allowed us to discriminate smallholder farming households and can be used as a tool for segmentation into climate change-perceiving and nonperceiving farming households. Efforts towards improving the determinants of behavioural intention for the poorly perceiving group could lead to better decisions to adapt to climate change and provide more targeted extension support in the future.


2019 ◽  
Vol 8 (2) ◽  
pp. 8
Author(s):  
Mufti Ahmed

The prime and foremost purpose of this study was to explore climate change perception among indigenous people living in Sylhet, Bangladesh. This study also tried to investigate the nexus between some socio-demographic dimensions of the respondents and their perception regarding climate change. The present study followed descriptive-explanative research design where survey method used to collect necessary data. In case of survey method, a self-developed semi structured questionnaire was provided to the respondents for collecting relevant data. Total number of population was 75 and 63 respondents has been interviewed following the sample size estimation of Nurul Islam (2011). Findings of this study revealed that, there is a statistically significant difference between some socio-demographic dimensions (like; Age, Family type, Education and Income) and climate change perception. Furthermore, no statistically significant relationship found between Gender, Religion, Savings and climate c...


2020 ◽  
Vol 108 ◽  
pp. 112-120 ◽  
Author(s):  
Itxaso Ruiz ◽  
Sérgio H. Faria ◽  
Marc B. Neumann

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