Determinants of Turkish Exports to European Union Countries: A Sectoral Panel Data Analysis

Bayar, Güzin; Ünal, Metehan; Tokpunar, Selman

doi:10.1080/1540496x.2015.1011506

Cited by 7 publications

(5 citation statements)

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“…In line of this argument, Funke and Holly [17] claimed that exports’ model is not efficient if ignore either demand or supply sided factors. Later on, many studies care the both demand and supply sided variables in the exports’ models [4,16,18,19].…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants and efficiency of Pakistan’s chemical products’ exports: An application of stochastic frontier gravity model

et al. 2019

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The estimation of efficiency of industry-specific exports is very important to find exports’ gap and to frame exports promotion policy for targeted industry. This study attempts to investigate the main determinants of chemical products’ exports of Pakistan with 62 trading partners by applying Stochastic Frontier Analysis (SFA) on an augmented gravity model for a period 1995–2015. The results corroborate that chemical products’ exports follow gravity patterns. This study finds a negative and significant impact of import tariff on exports of chemical products while the positive impact of devaluation has been observed. Further, the estimations also take into account the impact of Preferential Trade Agreements (PTA), colonial links, common language, political disputes and contiguity by incorporating dummy variable for each variable and the expected positive effects are found except an insignificant effect of Contiguity. Further, the negative impact of political disputes is observed. The exports’ efficiency analyses reveal that Pakistan’s chemical exports are well below the optimal level and there exists a huge untapped exports’ potential with its neighboring, Middle Eastern and European countries.

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Section: Literature Reviewmentioning

confidence: 99%

Determinants and efficiency of Pakistan’s chemical products’ exports: An application of stochastic frontier gravity model

et al. 2019

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“…Penggunaan metode regresi data panel dalam mengetahui determinan ekspor Indonesia sudah pernah dilakukan oleh Kahfi (2016). Regresi data panel dalam mengetahui determinan ekspor memungkinkan untuk mendapatkan hasil estimasi yang lebih akurat karena mempertimbangkan banyak negara tujuan (Bayar et al, 2015). Data yang digunakan dalam penelitian ini adalah data sekunder dari lembaga pemerintah yaitu Badan Pusat Statistik (BPS), Kementerian Perdagangan (Kemendag), dan Bank Indonesia.…”

Section: Apabilaunclassified

V-Shaped Export Recovery: Pengaruh Variabel Makroekonomi Terhadap Ekspor Jawa Timur Selama Pandemi Covid-19

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et al. 2021

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Penelitian ini bertujuan untuk (1) menganalisis kondisi ekspor Jawa Timur selama pandemi Covid-19; dan (2) menganalisis apakah variabel nilai tukar, suku bunga, dan indeks harga perdagangan internasional berpengaruh secara simultan maupun parsial terhadap ekspor Jawa Timur selama pandem Covid-19. Sumber data yang digunakan dalam penelitian ini adalah data sekunder yang didapatkan dari beberapa lembaga pemerintah dan non pemerintah seperti Badan Pusat Statistik (BPS), Bank Indonesia (BI), dan Kementerian Perdagangan RI (Kemendag). Teknik analisis data yang digunakan dalam penelitian ini adalah regresi data panel statis dengan mempertimbangkan ekspor Jawa Timur ke 13 negara tujuan ekspor utama Jawa Timur. Hasil penelitian ini menunjukkan bahwa nilai tukar dan indeks harga perdagangan internasional (IHPI) berpengaruh signifikan baik parsial maupun simultan terhadap ekspor Jawa Timur. Sedangkan suku bunga berpengaruh signifikan secara simultan terhadap ekspor Jawa Timur. Berdasarkan hasil penelitian, pemangku kebijakan diharapkan untuk memelihara nilai tukar dan IHPI pada tingkat yang semestinya.

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“…There are not many studies examining sectoral exports of Turkey using panel data. Coşar (2002), Saygılı (2010), Nazlıoğlu (2013), Çiftçi and Durusu Çiftçi (2013), Bayar, Ünal, and Tokpunar (2014) and Güloğlu and Bayar (2016) are among these. Coşar (2002) estimates a panel regression of nine sectors for 1994–2000.…”

Section: Introductionmentioning

confidence: 99%

“…In the literature, the models estimating sectoral export equations use independent variables similar to the ones used in export supply, demand or export determination equations; but usually several other independent variables representing sectoral characteristics are also employed. GDP or industrial production index of the exporter (to include supply-side effects) (Amann, Lau, & Nıxson, 2009;Bayar & Tokpunar, 2014;Bayar et al, 2015;Giovannetti & Sanfilippo, 2009;Ramos & Zarzoso, 2010), intermediate goods imports of the industries (to account for import dependency of industrial production) (Yalçınkaya, 2009), exchange rate volatility (Aftab, Abbas, & Kayani, 2012;Gagnon, 1993;Nazlıo glu, 2013;Wolf 1995), monetary growth and government spending (Dinçer & Kandil, 2011), crowding out effects created by rival countries (Amann et al, 2009;Giovannetti & Sanfilippo, 2009), foreign direct investments (Rahmaddi & Ichihashi, 2013;Zhang, 2005), various measures of technology and innovation and R&D expenditures (DiPietro & Anoruo, 2006;Ramos & Zarzoso, 2010;Uzay, Demir, & Yıldırım, 2012) are among the independent variables used in the literature in estimating sectoral export equations.…”

Section: Introductionmentioning

confidence: 99%

“…Çiftçi and Durusu Çiftçi (2013) estimate export and domestic demand panel equations of 15 Turkish manufacturing industry sectors for 1996-2010 period. Bayar et al (2015) for 38 sectors and time period 2003-2012, estimate sectoral export equations of Turkey to EU countries. Gülo glu and Bayar (2016) estimate export equation of 22 sectors for the time period 1997q1-2015q1.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Turkey's sectoral exports: A competitiveness approach

Bayar¹

2020

Int. J Fin Econ

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In this study, a sectoral export determination equation of Turkey is estimated using a very detailed panel data of 1,029 sectors in SITC Rev 3 four digit level for the period 1995-2015. In addition to standard export determination variables; the variables showing technology and sophistication level of the export products of Turkey were included among the independent variables; using both some traditional classification measures (Lall (2000), Oxford Development Studies, 2, 100-109) and a new measure developed by Hidalgo et al., (2009), "The Building Blocks of Economic Complexity." Proceedings of the National Academy of Sciences 106(26): 10570-10575. Moreover, also some indicators of competitiveness in world markets were included among independent variables. Method of estimation is augmented mean group, which takes into consideration cross sectional dependencies and parameter heterogeneities. Results of the regression suggest that product quality and design are becoming more important and price competition becomes less important in gaining competitive edge in world markets for Turkey.There is a transition of Turkey's exports towards medium technology products.

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Determinants of Turkish Exports to European Union Countries: A Sectoral Panel Data Analysis

Cited by 7 publications

References 45 publications

Determinants and efficiency of Pakistan’s chemical products’ exports: An application of stochastic frontier gravity model

Determinants and efficiency of Pakistan’s chemical products’ exports: An application of stochastic frontier gravity model

V-Shaped Export Recovery: Pengaruh Variabel Makroekonomi Terhadap Ekspor Jawa Timur Selama Pandemi Covid-19

Turkey's sectoral exports: A competitiveness approach

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