Performance and Macroeconomic Determinants of Basmati Rice Exports from Pakistan

Iqbal, Javed; Rehman, Abdur; Nabi, Iftikhar; Razzaq, Amar; Saqib, Raheel; Bakhsh, Allah; Mohibullah, Muhammad; Luqman, Muhammad

doi:10.17582/journal.sja/2020/36.2.617.624

Cited by 9 publications

(9 citation statements)

References 6 publications

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“…The fluctuation that will occur in the real rate has a positive and highly significant impact on kinnow export. According to Javed et al (2020), there was a positive impact of a rise in the exchange rate of the trading partner in the case of basmati exports from Pakistan.…”

Section: Resultsmentioning

confidence: 99%

Mandarin Exports from Pakistan and its Macroeconomic Determinants

Nazir¹,

Iqbal²,

Luqman³

et al. 2022

SJA

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T he agriculture sector plays a major role in Pakistan's economy, accounting for 18.74% of GDP and providing 38.5% of employment (GoP, 2019). There are four sub-sectors in the agricultural sector, including crops, livestock, fisheries, and forestry. Pakistan's main agricultural exports include raw cotton, cotton yarn, fruit, fish, fish preparation, vegetable, rice, wheat, oilseed and sugar. In the farming sector, fruit production plays a vital role in Pakistan's econo-my and other crops (vegetable fruits and fodder) have share 2.1 percent of GDP (GoP, 2019). Nature has blessed Pakistan with the best ecological environment for growing large varieties of vegetables and fruits. Given Pakistan's natural topography, there is an increasing importance of the country's horticultural activities (Naseer et al., 2016;Raza et al., 2012). Among countries of the world, there are few countries that grow fruit in special cool climatic conditions (apple, cherries, plumps, pears), warm climatic condition (grapes, melon, apricots, pomegranates

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Section: Resultsmentioning

confidence: 99%

Mandarin Exports from Pakistan and its Macroeconomic Determinants

Nazir¹,

Iqbal²,

Luqman³

et al. 2022

SJA

Self Cite

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“…Rahman (2017) also did not find any relationship for the aforementioned regressors in the short run. In the case of exchange rate, Javed et al (2020), Pambudi et al, (2019), Islam et al (2019), and Majeed & Ahmad (2006) encountered a positive relationship of exchange rate in export; while Hadi & Setyo (2019), and Rahman (2017) [in the long run] found a negative effect of exchange rate on the dependent variable. For interest rate, Rahman (2017) [in the long run] encountered a positive relationship on export as well as Islam et al (2019).…”

Section: Discussionmentioning

confidence: 97%

“…Unfortunately, no relationship between the dependent variable and its regressors were found. Javed et al (2020) aimed to analyze the Pakistani basmati exports levels and its relationship with macroeconomic factors. Both Pakistani and its 11 principal trading partner's exchange rate and inflation rate data were employed as regressors in the period 2011-2016.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Macroeconomic Determinants of Peruvian Gold Export Value in the Period 2003-2019

Jaco

Alhuay

Rodriguez

et al. 2021

IJFR

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The current research examined the macroeconomic determinants of Peruvian gold exports in the period 2003-2019 as well as their relative importance. Regressors employed were inflation, exchange rate, international rate, interest rate and Swiss gross domestic product. Ordinary Least Square along with decomposition and standardized coefficients were employed. The research found positive effects of inflation and international gold price on the dependent variable; while, Swiss gross domestic product was found to have a negative effect to Peruvian gold export. By the usage of decomposition and standardized coefficients it was found that international gold price is the most relevant regressor when explaining Peruvian gold export values.

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“…Rice is a staple food for more than half of the world’s population [ 1 ]. As a primary crop, it contributes a dominant proportion of the balanced diet of humans, predominantly in the diet of Asians, where most of the world’s rice is consumed and grown [ 2 ]. Pakistan is the 3rd largest exporter (80%) and the 12th largest producer of rice worldwide.…”

Section: Introductionmentioning

confidence: 99%

“…Rice constitutes the second largest cash crop, and about 10% of its agricultural land is dominated by rice crops [ 3 ]. Therefore, high-quality rice production is a significant source of food, income, and economic growth [ 2 ]. Considering the continuing advancement of knowledge and technology in quality control, coupled with consumers’ food quality expectations, the need for precision and transparency in quality monitoring has become more important.…”

Section: Introductionmentioning

confidence: 99%

Rapid Testing System for Rice Quality Control through Comprehensive Feature and Kernel-Type Detection

Zia

Fatima

Khurram

et al. 2022

Foods

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The assessment of food quality is of significant importance as it allows control over important features, such as ensuring adherence to food standards, longer shelf life, and consistency and quality of taste. Rice is the predominant dietary source of half the world’s population, and Pakistan contributes around 80% of the rice trade worldwide and is among the top three of the largest exporters. Hitherto, the rice industry has depended on antiquated methods of rice quality assessment through manual inspection, which is time consuming and prone to errors. In this study, an efficient desktop-application-based rice quality evaluation system, ‘National Grain Tech’, based on computer vision and machine learning, is presented. The analysis is based on seven main features, including grain length, width, weight, yellowness, broken, chalky, and/or damaged kernels for six different types of rice: IRRI-6, PK386, 1121 white and Selah, Super kernel basmati brown, and white rice. The system was tested in rice factories for 3 months and demonstrated 99% accuracy in determining the size, weight, color, and chalkiness of rice kernels. An accuracy of 98.8% was achieved for the classification of damaged and undamaged kernels, 98% for determining broken kernels, and 100% for paddy kernels. The results are significant because the developed system improves the local rice quality testing capacity through a faster, more accurate, and less expensive mechanism in comparison to previous research studies, which only evaluated four features of the singular rice type, rather than the seven features achieved in this study for six rice types.

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Performance and Macroeconomic Determinants of Basmati Rice Exports from Pakistan

Cited by 9 publications

References 6 publications

Mandarin Exports from Pakistan and its Macroeconomic Determinants

Mandarin Exports from Pakistan and its Macroeconomic Determinants

Analysis of Macroeconomic Determinants of Peruvian Gold Export Value in the Period 2003-2019

Rapid Testing System for Rice Quality Control through Comprehensive Feature and Kernel-Type Detection

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