The Validity of Wagner’s Law in India: A Post-liberalisation Analysis

Sharma, Suraj P.; Singh, S. P.

doi:10.9734/sajsse/2019/v4i230124

Cited by 6 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Whenever the time series data exhibit a mixture of I(0) and I(1), most investigators propose to apply ARDL modeling as the best approach to estimate the coefficients of the parameter included in the models [37] . To apply the ARDL approach, cointegration bounds test, model stability test, and variance error correction model (VECM) has to be conducted to test the presence of long-term cointegration, models' goodness of fit, presence of serial correlation, and model misspecification [37] .…”

Section: Results Of Preliminary Time Series Specification and Robustn...mentioning

confidence: 99%

Determinants of Barley Output Supply Response in Ethiopia: Application of Ardl Bound Cointegration Approach

Tirfi¹

2022

Res. World Agric. Econ.

View full text Add to dashboard Cite

This study investigated barley output supply response determinant factors in Ethiopia. An ARDL bound test approach was employed as method using secondary data from 1981-2020. The study demonstrated that barley output supply was affected positively and significantly by zero-order lagged seasonal rainfall and crop growing period temperature. The study supports the findings of researchers who reported that warming temperature followed by an increase in the amount of rainfall had a positive impact on barley output supply. The positive impact of temperature was induced because of a rise in the ocean and earth’s surface average temperature, causing more evaporation that increases overall rainfall while reaching over the highland areas. Studies confirm that ENSO and moist winds coming from the Atlantic and Indian Oceans influence the occurrence of rainfall in the western, southeastern, central, and northern highlands of Ethiopia. The study further exhibited that CSMRR and CGPMT had a positive effect on barley output both in the long-run and short-run, implying that climate parameters have minimal effect on barley production. Nonclimatic variables demonstrated that both lagged and current year’s producer prices had a positively significant effect on barley output supply in both the long-run and short-run, implying that barley output supply is highly responsive to any price incentive strategies announced before re-allocation of the area towards barley cultivation. Conversely, the study explored that use of fertilizer in first-order lag had negatively significant impact on barley output supply in both seasons; implying that increased use of fertilizer in lagged period may reduce barley output as a result of inappropriate fertilizers application by farmers. The results generated by this study are useful addendum to the repository of knowledge on elasticity of crop supply at an aggregate level, which can be used in designing strategies and measures for mitigation and adaptation of climate change.

show abstract

Section: Results Of Preliminary Time Series Specification and Robustn...mentioning

confidence: 99%

Determinants of Barley Output Supply Response in Ethiopia: Application of Ardl Bound Cointegration Approach

Tirfi¹

2022

Res. World Agric. Econ.

View full text Add to dashboard Cite

show abstract

“…The test result disclosed that the variables used in this study are a mixture of I(0) and I(1). In case time series data exhibit a mixture of I(0) and I(1) researchers and econometricians recommend Cobb-Douglas or ARDL modeling as best approach Singh, 2019 andDushko, et al 2011). In order to employ ARDL approach, bounds test of integration, model stability test and variance error correction model (VECM) should be conducted to detect the presence of long-term cointegration (Sharma and Singh, 2019).…”

Section: Results Of the Time Series Unit Root Testmentioning

confidence: 99%

“…In case time series data exhibit a mixture of I(0) and I(1) researchers and econometricians recommend Cobb-Douglas or ARDL modeling as best approach Singh, 2019 andDushko, et al 2011). In order to employ ARDL approach, bounds test of integration, model stability test and variance error correction model (VECM) should be conducted to detect the presence of long-term cointegration (Sharma and Singh, 2019). In case of Cobb-Douglas production model similar tests would be carried out as that of ARDL model (Dushko, et al 2011).…”

Section: Results Of the Time Series Unit Root Testmentioning

confidence: 99%

Impact of Climate Change on Yields of Wheat in Ethiopia: An Augmented Cobb-Douglas Production Function Approach

Tirfi,

Oyekale

2022

JAFES

View full text Add to dashboard Cite

The study analyzed the impact of climate change on yields of wheat crop in Ethiopia by employing Cobb-Douglas Production Function Approach using time series data for the period 1981 -2018. The study confirmed that long-season rainfall and crop growing season maximum temperature have negative and significant effects on wheat yield. The result implies that a rise in maximum temperature during crop growing period and variation in long-season rainfall could have adverse impact on yield of wheat crop. The findings further showed that fertilizers, improved seed, and irrigation applied on wheat crop have all positive and significant impact on yield of wheat, implying that use of fertilizer, improved seed and irrigation inputs have vital role in increasing yields of wheat crop. Conversely, the study indicated that land area cultivated under wheat cropping showed negative and significant impact on yield of wheat crop, implying that any area expansion under wheat crop production would have negative impact. In view of the findings of the study, it is recommended that adaptation strategies that could offset the adverse effects of climate change should be designed and adopted. An increased use of irrigation is recommended, particularly in potential lowland areas to mitigate the adverse effect of climate sensitivity on wheat crop. Use of improved wheat seed varieties of short duration and tolerant to warm and moisture stress conditions are recommended to increase productivity and production of wheat crop. Increased use of fertilizers in cooler mid and highland areas can be another option to increase the productivity of wheat crop in Ethiopia.

show abstract

“…Thus, the variables used in the study are a mixture of I(0) and I(1). In case time series data exhibit a mixture of I(0) and I(1) some researchers and econometricians recommend Cobb-Douglas or ARDL modeling as best approach Singh, 2019 andDushko, et al 2011). -6.12426 -3.19641 -13.78382 -3.19831 I(1)…”

Section: Results Of Unit Root Testsmentioning

confidence: 99%

Modeling Factors Influencing Barley Yield in Ethiopia: Augmented Cobb-Douglas Production Function Approach

Tirfi

2022

JAFES

View full text Add to dashboard Cite

Barley production in Ethiopia is constrained by climatic and non-climatic factors. The objective of this study was to examine the influence of climate change and non-climatic inputs on barley yield in Ethiopia. The study employed an augmented Cobb-Douglas production function approach to model factors influencing barley yield in the country. The results revealed that short/belg-season rainfall and temperature variables showed positive relationship with barley yield, having minimal positive impact on yield of barley. The positive elasticity of short/belgseason rainfall is justified by the fact that short duration barley crops are grown in the highlands of Bale, North Central Shewa, and Wollo zones contributing less than 10% of total grain production.Conversely, long/main-season rainfall showed negative impact on yield of barley, which due to extreme rain events such as high rainfall above optimum requirement of the crop as well as scarcity of rainfall in some pocket areas. The result infers that cultivation of barley in Ethiopia moderately depends on rainfall. Among the non-climatic variables, irrigated land area under barley cultivation, fertilizer quantity used, and improved barley seed used had positive impact on barley yield. Fertilizer and improved seed inputs had positive and significant impact on barley yield. The result implies that barley yield is highly responsive to use of fertilizer and improved barley seed inputs and moderately responsive to irrigation input. Conversely, land area cultivated under barley crop had negative impact on barley yield, although not significant.

show abstract

The Validity of Wagner’s Law in India: A Post-liberalisation Analysis

Cited by 6 publications

References 14 publications

Determinants of Barley Output Supply Response in Ethiopia: Application of Ardl Bound Cointegration Approach

Determinants of Barley Output Supply Response in Ethiopia: Application of Ardl Bound Cointegration Approach

Impact of Climate Change on Yields of Wheat in Ethiopia: An Augmented Cobb-Douglas Production Function Approach

Modeling Factors Influencing Barley Yield in Ethiopia: Augmented Cobb-Douglas Production Function Approach

Contact Info

Product

Resources

About