Impact of Climate Change on Paddy Production in Malaysia: Empirical Analysis at the National and State Level Experience

Herath, Gamini; Hasanov, Akram Shavkatovich; Park, Jeehye

doi:10.1007/978-3-030-21248-3_48

Cited by 9 publications

(10 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite several studies being produced at the international stage, a similar situation is not seen in Malaysia, and Tanggang et al [33] stressed that more local studies should be conducted in order to formulate sound policies and offer the concerned parties with facts and figures for scientifically sound adaptation measures. Existing but few local studies have responded to Tanggang et al [33], such as ref [13,[34][35][36][37][38]. A study by Abu Samah et al [13], for example, which attempted to compare adaptation ability between youth and older fishermen, concluded with an equal strength of both groups in terms of cognition, practice, and awareness, and discussed the possibilities of a stronger social relationship, technology usage, and money-making opportunity as factors that result in that equal adaptation strength.…”

Section: The Study's Objectivementioning

confidence: 99%

“…A study by Abu Samah et al [13], for example, which attempted to compare adaptation ability between youth and older fishermen, concluded with an equal strength of both groups in terms of cognition, practice, and awareness, and discussed the possibilities of a stronger social relationship, technology usage, and money-making opportunity as factors that result in that equal adaptation strength. Another study by Shaffril et al [39] provided descriptive explanations on fishermen's adaptation ability in climate change affected areas, and demonstrated fishermen adaptation strength related to the attachment to occupation; attachment to place; local environmental knowledge; environmental awareness, values, and attitudes; and formal and informal networks; nevertheless, they also expressed their concerns on fishermen's strong attachment to the fishing activities, and suggested alternative learning skills as one of the solutions for the issue [34]), on the other hand, examined climate change impacts on paddy production in Malaysia based on the autoregressive distributed lag (ARDL) model both with national and state level (Kedah) data. The analysis indicated that national paddy production in Malaysia is reduced by 7%, resulting from the rising temperature, while a long-term unstable rainfall pattern will cause a 0.371% reduction in paddy production.…”

Section: The Study's Objectivementioning

confidence: 99%

See 1 more Smart Citation

The Impacts of Fishermen’s Resilience towards Climate Change on Their Well-Being

2022

View full text Add to dashboard Cite

This study aims to examine the mediating effect of climate resilience on the relationship between socio-economic, social relationship, social environment, and sense of community with fishermen’s subjective well-being (life satisfaction, positive feeling, and negative feeling). This quantitative study performed a multi-stage sampling and selected 400 fishermen as respondents. For analysis purpose, this study relied on Partial Least Square Structural Equation Modelling (PLS-SEM). The structural model concluded that socio-economic, social relationship, social environment, and sense of community explained 55.4% variance in resilience. The mediating analysis confirmed the resiliency mediating effect on all twelve hypothesized relationships. A number of recommendations related to extending the areas of the study, to focus specifically on the small-scale fishermen, and to consider the inclusion of several others’ additional mediating effects were highlighted.

show abstract

Section: The Study's Objectivementioning

confidence: 99%

Section: The Study's Objectivementioning

confidence: 99%

The Impacts of Fishermen’s Resilience towards Climate Change on Their Well-Being

2022

View full text Add to dashboard Cite

show abstract

“…In Malaysia, there are many studies have investigated the impact of climate change on crop production and showed that climate change negatively influenced agricultural sector (Al-Amin et al, 2011;Alam et al, 2012;Ali et al, 2017;Herath et al, 2020 ;Masud et al, 2014;Siwar et al, 2009;Tang, 2019;Vaghefi et al, 2011). According to Tang (2019), climate change in Malaysia has harmed the agricultural sector due to rising temperatures and unexpected rainfall variability every year.…”

Section: Employment (Million Person)mentioning

confidence: 99%

“…Extreme weather may damage agricultural products such as paddy during the flood or drought (Akhtar et al, 2019;Alam et al, 2011). For instance, Alam et al (2017), andHerath et al (2020) used mean temperature and rainfall to determine the impact of climate change on paddy production in Malaysia. They found that both temperature and rainfall harm paddy production.…”

Section: Employment (Million Person)mentioning

confidence: 99%

Malaysia’s Agricultural Production Dropped and the Impact of Climate Change: Applying and Extending the Theory of Cobb Douglas Production

Entezari

Wong

Ali

2021

J AGRIB RURAL DEV RES

View full text Add to dashboard Cite

Under climate change, Malaysia's agricultural production showed decreasing in recent decades. This study tries to fill in the gaps to applying and extending the Cobb Douglas production function theory to examine the impact of climate change and economic factors on Malaysia's agricultural production. Using Engle-Granger (EG) test with 37 years of data from 1980 to 2016. The findings showed that the long-run estimated coefficients for rainfall, temperature, and interest rate were -0.338, -0.024, and -0.029, respectively. This indicates that each additional percent in rainfall, temperature, and interest rate will be affected the agricultural production, on average, to decrease by 0.338%, 0.024%, and 0.029%, respectively, holding others constant. Besides that, the long-run elasticity of real GDP per capita, employment, and Trend showed 0.509, 0.513, and 0.119, respectively. Increase 1% of real GDP per capita will lead to the agricultural production to increase about 0.509%, ceteris paribus. The elasticity of employment showed that each 10% increase in agricultural employment will increase the agricultural production on average 5.13%, ceteris paribus. Furthermore, the trend estimated coefficient showed that the agricultural production will have a constant growth rate which is 0.119% per year. All variables were statistically significant to explain the long-run agricultural production. The short-run rainfall, temperature, employment, and Trend were statistically significant to determine the short-run production growth. Therefore, advanced technology and the latest information on climate change are relevant to boost agricultural production growth. In addition, policymakers also suggested establishing lower interest rate loan facilities and no labor shortage in this industry.

show abstract

“…In northern Malaysia in particular, this scenario is more prominent as this region is the main producer of rice in the country (Yusof et al, 2019). Nonetheless, too little, and too much rainfall can be harmful in paddy plantation (Gumel et al, 2017;Agnese & Othman, 2019;Herath et al, 2019). The most optimized is the regular rainfall pattern that can produce optimum rice production (Ahmad et al, 2017).…”

Section: Rainfall Forecasting With Time Series Model In Alor Setar Kedahmentioning

confidence: 99%

Rainfall Forecasting With Time Series Model in Alor Setar, Kedah

FUDZI¹,

Yusof²,

Misiran³

2021

UMT JUR

View full text Add to dashboard Cite

The prediction of rainfall on monthly and seasonal time scales is not only scientifically challenging but is also important for planning and devising agricultural strategies. In this paper, the study is conducted to examine the pattern of monthly rainfall in Alor Setar, Kedah within ten years which is from 2008 to 2018. This paper considered a model based on real data that obtained from Department of Meteorology Malaysia. This study indicates that the monthly rainfall in Alor Setar has a seasonal and trend pattern based on y t vs t plotting, autocorrelation function and Kruskal Wallis Test for seasonality. The examined rainfall time-series modelling approaches include Naïve Model, Decomposition Method, Holt-Winter's and Box-Jenkins ARIMA. Multiplicative Decomposition Method was identified as the best model to forecast rainfall for the year of 2019 by analysing the previous ten-year 's data (2008-2018). As a result from the forecast of 2019, October is the wettest month with highest forecasted rainfall of 276.15mm while the driest month is in February with lowest forecasted rainfall of 50.55mm. The model is therefore adequate and appropriate to forecast future monthly rainfall values in the catchment which can help farmers to plan their farming activities ahead of time.

show abstract

Impact of Climate Change on Paddy Production in Malaysia: Empirical Analysis at the National and State Level Experience

Cited by 9 publications

References 5 publications

The Impacts of Fishermen’s Resilience towards Climate Change on Their Well-Being

The Impacts of Fishermen’s Resilience towards Climate Change on Their Well-Being

Malaysia’s Agricultural Production Dropped and the Impact of Climate Change: Applying and Extending the Theory of Cobb Douglas Production

Rainfall Forecasting With Time Series Model in Alor Setar, Kedah

Contact Info

Product

Resources

About