A Statistical Study of the Determinants of Rice Crop Production in Pakistan

Shah, Muhammad Akbar Ali; Özel, Gamze; Chesneau, Christophe; Mohsin, Muhammad; Jamal, Farrukh; Bhatti, M. F.

doi:10.17582/journal.pjar/2020/33.1.97.105

Cited by 9 publications

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“…To have a deeper understanding of the country and regional inequalities, area or zone-specific studies should be conducted. Shah et al (2020) found out the impact of rainfall, spray, average humidity, and temperature on rice productivity using the Multiple Linear Regression Model. Their findings concluded that rainfall, temperature, and humidity had not affected rice productivity.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Seven, the agriculture industry is a significant source of foreign exchange, which is utilized to acquire imported items such as machinery, capital equipment, and manufactured products. Last but not least, agriculture provides commodities and services to households, industry, and the global marketplace (Shah et al, 2020).…”

Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

“…Pakistan's second-largest economic sector is agriculture, which generates 19.2% of the nation's GDP and employs half of its workforce, around 45% (Pakistan Economy Survey, 2020). Over 65% of the population is engaged in the agriculture sector (Shah et al, 2020). Pakistan is ranked 28th among the nations severely impacted by climate change, and 22 of the 28 countries are in Africa (IPCC,2021).…”

Section: Introductionmentioning

confidence: 99%

“…Agriculture is the most important source of income, revenue and is the backbone of an emerging economy like Pakistan, therefore increasing agricultural productivity is crucial (Ahmad and Heng, 2012;Aslam, 2016;Awan and Mukhtiar, 2020;Shah et al, 2020). It improves the living standard of human beings, provides food and employment in rural regions, contributes to the country's overall economic growth, and reduces labor migration rates (Shah et al, 2020). Rapidly increasing population has increased the demand for agricultural output since the 20th century.…”

Section: Introductionmentioning

confidence: 99%

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Do Climate Changes influence the Agriculture Productivity in Pakistan? Empirical Evidence from ARDL Technique

2022

Forman J. Econ. Stud

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Agriculture Productivity is an important measure of the agricultural performance in developing countries, which measures the quantity of output that can be produced from a given quantity of inputs. However, agriculture output is affected by the rainfall and temperature. In the literature on emerging economies, rainfall and temperature are found to have a significant impact on the agriculture productivity in different regions of the world. The goal of this study is to assess the impact of rainfall and temperature variations, as a result of climate change, on Pakistan’s agriculture output. Time series data from 1984 to 2019 is used to investigate this issue. An Autoregressive Distributed Lag (ARDL) model with Bound Testing Cointegration and Error Correction Model (ECM) are used to analyze the relationship between the variables of interest. Unit Root tests were used to check the stationarity of time series data which revealed that some variables are stationary I (0) while others are integrated at level 1. The findings of the study show that temperature increase has a positive and significant impact on agriculture productivity, both in the short and long run. Moreover, rainfall has a negative and significant impact on agriculture productivity in the short and long-run. The stability tests have confirmed the stability of the econometric model.

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Section: Review Of Literaturementioning

confidence: 99%

Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Do Climate Changes influence the Agriculture Productivity in Pakistan? Empirical Evidence from ARDL Technique

2022

Forman J. Econ. Stud

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“…A change in aforesaid factors can influence the productivity of crops (Mbam and Edeh, 2011). Few research works that shed light on this very issue are; (Okoronuwa et al, 2006;Joshi and Bauer, 2006;Akinbile, 2007;Ayoola et al, 2011;Mbam and Edeh, 2011;Basoru and Fasakin, 2012;Osanyinlusi andKemisola, 2016, Tanko et al, 2016;Ayedun and Adeniyi, 2019) while in particular on rice crop few authors in Pakistan like (Abedullah et al, 2007;Javed et al, 2008;Bhatti, 2015;Shaikh et al, 2016;Jan and Khan 2019;Shah et al, 2019) had identified determinants responsible for productivity of rice.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Rice Yield in Central Khyber Pakhtunkhwa, Pakistan

Murtaza¹,

Ahmad²,

Israr³

et al. 2021

SJA

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Assessing water productivity and energy use for irrigating rice in Pakistan

Akbar

Hameed

Iqbal

2022

Irrigation and Drainage

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Overirrigation of rice crops from groundwater negatively impacts water productivity, energy use and the environment in Pakistan. Therefore, four decades (1981–2020) of data on rice crop area and production were assessed for water productivity, and alternative options for irrigation application and energy use were explored. The results show a maximum average yield of 2.42 t ha‾¹ and water productivity of 0.16 kg m‾3 (6211 L kg‾¹) for the last decade (2011–2020), with an average decadal yield increase of 14%. The last year's rice crop during 2020 consumed 14.43 million acre‐feet (MAF) of groundwater, assuming a minimum irrigation application of 1500 mm per season. The maximum equivalent energy required for pumping is approximately 386 MW for electrical and 4966 MW for diesel‐driven tube wells. Diesel combustion for pumping caused 1.26 million t (467 kg ha‾¹) of CO2 emissions per season. The capital cost for converting all installed capacities of electrical (2311 MW, PKR 481 billion) and diesel (16 517 MW, PKR 1909 billion) tube wells to solar energy can be recovered in less than 4 years. Improved governance and optimized site‐specific solar system designs can avoid undergoing groundwater. Improving water productivity and using solar energy for irrigation indicates the prospects of improved sustainability of rice crops in Pakistan.

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A Statistical Study of the Determinants of Rice Crop Production in Pakistan

Cited by 9 publications

References 0 publications

Do Climate Changes influence the Agriculture Productivity in Pakistan? Empirical Evidence from ARDL Technique

Do Climate Changes influence the Agriculture Productivity in Pakistan? Empirical Evidence from ARDL Technique

Determinants of Rice Yield in Central Khyber Pakhtunkhwa, Pakistan

Assessing water productivity and energy use for irrigating rice in Pakistan

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