2019
DOI: 10.26710/reads.v5i1.570
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Investigating Pakistan’s Revealed Comparative Advantage and competitiveness in Cotton Sector

Abstract: Cotton sector, one of the most important sectors of agriculture, plays a pivot role in the socio-economic uplift of Pakistan as its contribution to agriculture value addition is 5.5 % and to GDP is 1 %. It along with low wage cost also ensures the massive availability of raw material for textile industry which enables Pakistan to attain competitiveness in the world market. The aim of present study is ,therefore, to measure the export competitiveness in cotton sector of Pakistan by utilizing a set of Revealed c… Show more

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Cited by 6 publications
(6 citation statements)
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“…There are several ways of using the RCA indexes in measuring trade performance, including comparing the calculated value with the neutral point, comparing given sectors by using the calculated value, and comparing the calculated value at the national or regional level [ 14 , 43 ]. Given that agricultural trade is an important part of overall economic activity, continues to play a major role in domestic agricultural production and employment and also plays a fundamentally important role in global food security, some existing studies measured the comparative advantage of agricultural trade at national and regional levels by utilizing the RCA indexes, such as Serbia [ 40 ], Hungary [ 44 ], Russia [ 45 ], China [ 46 ], Pakistan [ 47 ], Indonesia [ 48 ], Myanmar [ 14 ], India [ 49 ], Brazil [ 50 ], Canada [ 51 ], and Ghana [ 52 ]. Despite the utilization of the RCA indexes analysis over the past decades, the existing research on the comparative advantage of countries along the B&R and China mainly focuses on the manufacturing industry, and there were relatively few studies on the comparative advantage of agricultural trade in the two sides from a dynamic perspective [ 35 , 53 , 54 , 55 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…There are several ways of using the RCA indexes in measuring trade performance, including comparing the calculated value with the neutral point, comparing given sectors by using the calculated value, and comparing the calculated value at the national or regional level [ 14 , 43 ]. Given that agricultural trade is an important part of overall economic activity, continues to play a major role in domestic agricultural production and employment and also plays a fundamentally important role in global food security, some existing studies measured the comparative advantage of agricultural trade at national and regional levels by utilizing the RCA indexes, such as Serbia [ 40 ], Hungary [ 44 ], Russia [ 45 ], China [ 46 ], Pakistan [ 47 ], Indonesia [ 48 ], Myanmar [ 14 ], India [ 49 ], Brazil [ 50 ], Canada [ 51 ], and Ghana [ 52 ]. Despite the utilization of the RCA indexes analysis over the past decades, the existing research on the comparative advantage of countries along the B&R and China mainly focuses on the manufacturing industry, and there were relatively few studies on the comparative advantage of agricultural trade in the two sides from a dynamic perspective [ 35 , 53 , 54 , 55 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…During 2018, the total value of cotton export from Pakistan was US$3498.997 million (GOP, 2018), and the main foreign markets were China, UK, the USA, Germany, Italy, Spain, Australia, and many other countries. The exports of cotton and cotton made products contribute 10 percent to the GDP of Pakistan and 55 percent of the total export earnings of the country (Maqbool et al, 2019). Pakistan is also a major consumer of cotton, consuming 9 percent of the world's total cotton (PCCC, 2017).…”
Section: Research Articlementioning
confidence: 99%
“…As M denotes to imports, i is a product, j is a country, t is a set of all products, and w is a set of all countries. In this index, if the RMA index is less than 1 shows higher competitiveness and relative comparative advantage (Maqbool et al, 2019;Mamoon et al, 2011).…”
Section: Relative Export Advantage (Rxa)mentioning
confidence: 99%
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“…(Source: Maqbool et al, 2019) This index lies between +1 and -1 and avoid the problem with zero values which occur in the logarithms transformation (Erkan and Sarıcoban, 2014). Vollrath (1991) also introduced the index for CA, and it is considered to be a better measure of competitiveness because the current index eliminates the dilemma of double-counting in the global trade (Gnidchenko and Salnikov, 2015).…”
Section: Rsca =mentioning
confidence: 99%