Factors affecting trade in services: evidence from panel data

Bi, Yanchao; Alexander, W. Robert J.; Zhang, Pei

doi:10.1080/00036846.2019.1584379

Cited by 11 publications

(7 citation statements)

References 35 publications

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“…

{\mathrm{ln}{Goods}}_{{ijt}}

is the natural logarithm of bilateral goods trade between countries. It is expected to positively impact bilateral trade in services as goods complement services (Bi et al, 2019; Egger & Shingal, 2017).

{\beta }_{0}{\rm{\ldots }}{\beta }_{7}

are parameters to be estimated.…”

Section: Methodsmentioning

confidence: 99%

Determinants of intra‐COMESA trade in services

Majune,

Kaaria,

Kihiu

2023

African Development Review

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This paper analyzes intra‐Common Market for Eastern and Southern Africa (COMESA) trade in services by establishing its determinants and exploring the role of trade facilitation on the same. The study relies on the Poisson Pseudo Maximum Likelihood (PPML) estimator of the gravity model on bilateral services trade data for total services and eight categories of services in 17 COMESA countries from 2005 to 2019. Results reveal that several factors determine intra‐COMESA services trade, the salient ones being GDP (exporter's and importer's), distance, contiguity, and time zone differences. Trading under a service‐specific trade agreement affects a few services: transport and other business services exports. The effect is positive for transport services and negative for other business services exports. Trade facilitation measures, especially broadband technologies, significantly improve services trade across various sectors. A key policy implication of our results is that service trade is more likely to grow through digital, information, and communication infrastructure development. Thus, policy should prioritize increasing access and usage of broadband technologies.

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“…

{\mathrm{ln}{Goods}}_{{ijt}}

{\beta }_{0}{\rm{\ldots }}{\beta }_{7}

are parameters to be estimated.…”

Section: Methodsmentioning

confidence: 99%

Determinants of intra‐COMESA trade in services

Majune,

Kaaria,

Kihiu

2023

African Development Review

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“…Two‐thirds of the papers in our sample are single country studies, whereas the most exhaustive individual study (Senhadji, 1998) covers 65 countries. The papers were focused on total trade and excluded papers such as Grossman, Lein, and Schmidt (2016) that focus on country or product specific import demand or on services such as Bi, Alexander, and Pei (2019). For the purposes of the paper, we classify countries based on two criteria.…”

Section: Methodology and Datamentioning

confidence: 99%

The income elasticity of import demand: A meta‐survey

El‐Shagi

Sawyer

Tochkov

2021

Pacific Economic Review

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The responsibility for discussion papers lies solely with the individual authors. The views expressed herein do not necessarily represent those of the CFDS. The papers represent preliminary work and are circulated to encourage discussion with the authors. Citation of the discussion papers should account for their provisional character; a revised version may be available directly from the authors. Comments and suggestions on the methods and results presented are welcome.

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“…Similar observations of the goods trade being closely related to the services trade have also been noted in later studies (Egger et al, 2017; Nordas, 2010). In a more recent study, Bi et al (2019), for a sample of OECD and non-OECD countries over the period 2004–2015, find that the growth in imports and exports of services has been persistent and is also affected by the goods trade from these countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Productivity and Exports: An Industry-Level Analysis of the Service Sector in India

Goswami

Narayanan

2023

Millennial Asia

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The large share of the service sector and its status as a net exporter raise concerns about the sustainability of such growth for a developing economy like India. Given the context, the present article attempts to examine the productivity dynamics of the service sector in India at the industry level. We use the India KLEMS dataset to identify the trends in total factor productivity (TFP) growth and the growth in factor inputs. By uniquely combining the India KLEMS dataset with the trade values in the Extended Balance of Payments Services classification, we examine the dynamics between TFP growth and exports of services using panel vector autoregression technique. The trends in factor inputs show that there is capital deepening within services and the growth in employment remained comparatively lower. The results indicate a feedback effect of exports and productivity growth within the service sector. Additionally, we note that the use of more skilled labour that is better equipped to handle new technology also contributes to growth in the service sector, both in terms of productivity and exports.

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Factors affecting trade in services: evidence from panel data

Cited by 11 publications

References 35 publications

Determinants of intra‐COMESA trade in services

Determinants of intra‐COMESA trade in services

The income elasticity of import demand: A meta‐survey

Productivity and Exports: An Industry-Level Analysis of the Service Sector in India

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