The Spread of Cross-Border High-Tech Manufacturing Component Goods in International Trade Integration

2022 ◽  
pp. 112-131
Author(s):  
Dyah Wulan Sari ◽  
Haura Azzahra Tarbiyah Islamiya ◽  
Wenny Restikasari
Keyword(s):  
International Trade ◽  
High Technology ◽  
High Tech ◽  
Trade Integration ◽  
Export Intensity ◽  
Firm Level ◽  
Cross Border ◽  
Panel Data Regression ◽  
Level Data ◽  
Vertical Trade

The objective of this study is to examine the spread of cross-border trading in determining the firm's production in high-technology manufacturing industries in Indonesia. The spread of cross-border trading in the model is measured by export intensity and alternatively is measured by vertical trade integration. The firm-level data of high-tech industries are implemented in this study. A panel data regression procedure is applied to estimate the model. The estimation results elucidate that vertical trade integration is a significant determinant on affecting firm's production while export intensity is not. This evidence proves that the pattern of cross-border international trade of high-technology industries shifted from exporting finished goods to exporting fragmented products. The export intensity variable is no longer representing the international trade when the firms break-down their production process. The usage of export intensity variable in firms undertaking the vertical trade integration would lead to a misleading conclusion.

scholarly journals Pola Perdagangan Global pada Perusahaan-Perusahaan Berteknologi Tinggi

2021 ◽  
Vol 21 (1) ◽  
pp. 77-94
Author(s):  
Dyah Wulan Sari ◽  
Wenny Restikasari
Keyword(s):  
Generalized Method Of Moments ◽  
High Tech ◽  
Global Trade ◽  
Trade Integration ◽  
Method Of Moment ◽  
Export Intensity ◽  
Firm Level ◽  
Level Data ◽  
Vertical Trade ◽  
Generalized Method Of Moment

This study deals with firm level data of Indonesian high-tech manufacturing industries to determine firm’s production, especially among global trade variables, such as export intensity, vertical trade integration, and two-way trade. This study employs a generalized method of moments (GMM) approach to examine the most important factors of a global trade phenomenon. In the full-sample, the result demonstrates that vertical trade integration and two-way trade are significant determinants on firm’s production while export intensity is not. In ordinary trader sub-sample, export intensity is a significant determinant of firm’s production, whereas in vertical trader sub-sample export intensity is not. ........................................... Penelitian ini menggunakan data tingkat perusahaan pada industri manufaktur berteknologi tinggi di Indonesia untuk menentukan kemampuan produksi suatu perusahaan, dari berbagai variabel perdagangan global, seperti intensitas ekspor, perdagangan vertikal yang terintegrasi, dan perdagangan dua arah terhadap. Penelitian ini menggunakan pendekatan generalized method of moment (GMM) untuk menguji faktor terpenting dari fenomena perdagangan global. Pada sampel penuh, hasil penelitian menunjukkan bahwa perdagangan vertikal yang terintegrasi dan perdagangan dua arah merupakan faktor penentu yang signifikan terhadap kemampuan produksi perusahaan sedangkan intensitas ekspor tidak. Pada sub-sampel pedagang biasa, intensitas ekspor merupakan faktor penentu yang signifikan terhadap kemampuan produksi perusahaan, sedangkan pada sub-sampel pedagang vertikal intensitas ekspor bukan merupaka faktor penentu. 

scholarly journals CHANGES IN VERTICAL TRADE PATTERNS IN HIGH-TECHNOLOGY COMPANIES IN EAST JAVA

2019 ◽  
Vol 3 (2) ◽  
pp. 181-197
Author(s):  
Wenny Restikasari ◽  
Dyah Wulan Sari ◽  
Angga Erlando ◽  
Fery Dwi Riyanto
Keyword(s):  
Generalized Method Of Moments ◽  
High Tech ◽  
Trade Integration ◽  
Export Intensity ◽  
Trade Patterns ◽  
Firm Level ◽  
Full Sample ◽  
Level Data ◽  
Vertical Trade ◽  
The Impact

This study aims to insvestigate the impact of vertical trade pattern as export intensity, vertical trade integration and two-way trade dummy to firm production capability. This study deals with firm level data of East Java high-tech manufacturing induesties, employs as generalized method of moments (GMM) approach to examine the most imprortant factor of a vertical trade phenomenom. In the full-sample, the result demonstrates that vertical trade integration and two-way trade are significant determinants on firm’s production while export intensity is not. In ordinary trader sub-sample, export intensity is a significant determinant of firm’s production, whereas in vertical trader sub-sample export intensity is not.

scholarly journals Customs duty incentives and their effects on customs revenue mobilization: the case of Zimbabwe (2009-2014)

2016 ◽  
Vol 5 (1) ◽  
pp. 6-13
Author(s):  
Ezera Madzivanyika
Keyword(s):  
Negative Effects ◽  
Mining Sector ◽  
Firm Level ◽  
Cross Sectional ◽  
Preferential Tariff ◽  
Panel Data Regression ◽  
Level Data ◽  
Data Regression ◽  
Firm Level Data ◽  
Tariff Rates

This paper analyzes the effects of customs duty incentives on customs revenue mobilization for the period 2009 to 2014. It employs both cross-sectional and panel data regression analysis using firm-level data obtained for a sample of 35 firms in Zimbabwe’s mining sector. The data were collected from Zimbabwe Revenue Authority’s Asycuda World System. The results from the two separate models confirm that customs duty incentives (rebates and preferential tariff rates) had negative effects on customs revenues for the period 2009 to 2014. The study, therefore, recommends an urgent need to streamline customs duty incentives granted to importers of goods meant for use in the mining sector

scholarly journals Institutional environment, competencies and firm export performance: A study of the emerging country

2021 ◽  
Vol 18 (2) ◽  
pp. 169-179
Author(s):  
Areej Aftab Siddiqui ◽  
Parul Singh
Keyword(s):  
Institutional Environment ◽  
Labour Force ◽  
Export Performance ◽  
Political Stability ◽  
Policy Reforms ◽  
Heckman Selection Model ◽  
Export Intensity ◽  
Firm Level ◽  
Skilled Labour ◽  
Level Data

The study is an attempt to examine the determinants and impact of export propensity and export intensity for firm-level performance in India. The factors determining export propensity are political stability, corruption, and competition from the informal sector while the determinants of export intensity in the present study are identified as a skill of the labour force, the technological capability of a firm, and foreign ownership of technology in a firm in India. A two-stage Heckman selection model has been advanced to investigate the linkage between the export performance of Indian firms with the home institutional environment and firm competencies. Firm-level data of approximately 8,000 Indian firms are used as available from the World Bank’s Enterprise Surveys (WBES) database. The results indicate that political stability and competition effect export propensity of Indian firms while export intensity is impacted by access to technology and employing skilled labour. The study has important theoretical implications in terms of understanding the exporting behaviour of firms. It indicates that the decision of firms to export and their export performance are interlinked. It is affirmed that export intensity is dependent on firm-specific competencies while institutions indirectly influence the decision of firms to export. The policy measures of Skill India and Make in India strongly favour increased access to the skilled labour force and strengthening the domestic industry which may lead to an increase in the export intensity of Indian firms. The recent institutional measures adopted favour a stable environment of doing business as well as providing firms opportunities to focus and leverage their competencies in the best possible manner. The current nascent steps of policy reforms need to be aggressively implemented for enhanced export capabilities of Indian firms

scholarly journals EXPORT BEHAVIOUR OF MANUFACTURING FIRMS IN INDONESIA, 1990-2000

2010 ◽  
Vol 12 (2) ◽  
pp. 227-242
Author(s):  
Sahminan Sahminan ◽  
Yati Kurniati
Keyword(s):  
Foreign Ownership ◽  
Manufacturing Firms ◽  
Lower Proportion ◽  
Manufacturing Industries ◽  
Firm Level ◽  
Panel Data Regression ◽  
Level Data ◽  
Data Regression ◽  
Export Behaviour ◽  
Firm Level Data

This paper examines export behaviour of manufacturing firms in Indonesia. We use firm-level data from survey of medium and large Indonesian manufacturing industries over the period 1990-2000. Using panel data regression technique, we find the following regularities. First, there is a persistency in the firm’s decision to export as well as proportion of exported output. Second, higher wage, larger number of production employment, higher productivity and higher share of foreign ownership lead to higher probability of a firm to export. Third, higher wage leads to higher proportion of exported output. However, higher productivity or higher share of foreign ownership leads to lower proportion of exported output. Fourth, while real exchange rate does not significantly affect the probability of firms to export, it significantly affects the proportion of exported output. Fifth, both probability to export and proportion of exported output was significantly much lower during the 1997/1998’s Asian crisis. Finally, looking at the export behaviour across industries, the estimation results show that there is a variation of export behavior across industries.Keywords: Export, manufacture, Indonesia.JEL Classification: F14, F13, D21

scholarly journals Productivity Growth and Value Chains in Four European Countries

2020 ◽  
Vol 20 (18) ◽  
Author(s):  
Izabela Karpowicz ◽  
Nujin Suphaphiphat
Keyword(s):  
Productivity Growth ◽  
Global Financial Crisis ◽  
European Countries ◽  
Value Chains ◽  
Trade Integration ◽  
Firm Level ◽  
Firm Innovation ◽  
Level Data ◽  
Workforce Aging ◽  
The Global Financial Crisis

Advanced economies have been witnessing a pronounced slowdown of productivity growth since the global financial crisis that is accompanied in recent years by a withdrawal from trade integration processes. We study the determinants of productivity slowdown over the past two decades in four closely integrated European countries, Austria, Denmark, Germany and the Netherlands, based on firm-level data. Participation in global value chains appears to have affected productivity positively, including through its effect on TFP when facilitated by higher investment in intangible assets, a proxy for firm innovation. Other contributors to productivity growth in firms are workforce aging, access to finance, and skills mismatches.

Impact of Chinese cross-border outbound M&As on firm performance: Econometric analysis using firm-level data

2014 ◽  
Vol 30 ◽  
pp. 169-179 ◽  
Author(s):  
Kazuma Edamura ◽  
Sho Haneda ◽  
Tomohiko Inui ◽  
Xiaofei Tan ◽  
Yasuyuki Todo
Keyword(s):  
Firm Performance ◽  
Econometric Analysis ◽  
Firm Level ◽  
Cross Border ◽  
Level Data ◽  
Firm Level Data

scholarly journals Regions, Innovations, and the North–South Divide in Italy

2021 ◽  
pp. 115-134
Author(s):  
Loet Leydesdorff
Keyword(s):  
Southern Italy ◽  
Interesting Case ◽  
High Tech ◽  
Firm Level ◽  
Knowledge Based ◽  
The North ◽  
Level Data ◽  
Eu Policies ◽  
Innovation Strategies ◽  
Knowledge Intensive

AbstractUsing firm-level data collected by Statistics Italy for 2008, 2011, and 2015, the Triple-Helix synergy among geographical and size distributions of firms and technology classes is analyzed both regionally and nationally. The Italian system is both knowledge-based and knowledge-intensive, and therefore an interesting case. The contributions to national synergy of the twenty regions in Italy have increased between 2008 and 2015, but synergy generation at levels above the regions has remained relatively stable at approximately 45%. As against the statistical classification into twenty regions, or into Northern, Central, and Southern Italy, the greatest synergy is retrieved by defining the country in terms of Northern and Southern Italy as two sub-systems, with Tuscany included as part of Northern Italy. Different innovation strategies could be developed for these two parts of the country. However, the current focus on twenty regions for innovation policies may to some extent be an artefact of the statistics and EU policies. In terms of sectors, both medium- and high-tech manufacturing (MHTM) and knowledge-intensive services (KIS) are integrated proportionally in the various regions.

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