OPTIMAL MACHINE LEARNING BASED FORECASTING MODEL TO ANALYZE THE IMPACT OF TRADE LIBERALIZATION IN CHINA’S ECONOMY ON EXPORT PERFORMANCE

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China's economic trajectory has garnered significant attention globally, driven by its impressive growth and increased integration into the international trade arena. In response to this, China has strategically implemented a series of trade liberalization policies aimed at fostering economic development, attracting foreign investment, and enhancing global competitiveness. Despite the importance of these policies and their potential impact on the nation's export performance, there is a discernible gap in the literature that necessitates a more sophisticated and forward-looking approach. Traditional forecasting methods applied in economic analyses, while valuable, face challenges in capturing the inherent complexity of economic variables influenced by rapidly changing policies and the dynamic nature of global market forces. Acknowledging this gap, our research is inherently motivated by the urgent need for an accurate and efficient forecasting model capable of navigating the intricate and ever-evolving economic landscape of China. In this study, we introduce an optimal machine learning-based forecasting model to analyze the impact of trade liberalization on China's economy and its export performance. Initially, we extract meaningful features from the provided China's economic dataset, optimizing these features through the modified chicken swarm optimization (MCSO) algorithm. Furthermore, we design the convolutional neural network–bagged decision tree (CNN-BDT) for China's economic forecasting, specifically designed to reduce the false positive rate. Finally, we validate the performance of the proposed CNN-BDT model using sample data of China's exports to the US from 2015 to 2021. The results demonstrate the effectiveness of the proposed CNN-BDT model in terms of performance metrics, including accuracy, precision, recall, and F-measure.

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Preface
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Categorical analyses of international trade performance
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Seventy-eight nations are examined for their qualitative attributes on three measures of trade performance: import performance, export performance, and competitive position. Tests for association among export and import performance qualities suggest that there are two distinctive groups of nations in the international economy; traders and non-traders. In addition, logit regression analyses suggest that it is a nation's export sector that determines its competitive position quality, while the import sector has little impact.

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International Production Networks and Export Performance in Developing Countries: Evidence from China
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Developing countries may expand their exports through participating in international production networks organized by multinational corporations. China appears to have been successful with this approach in the past two decades. Its exports rose from $9.8 billion in 1978 (ranked as thirty-second in the world) to $762 billion in 2005 (the third-largest in the world). In the same period, accumulated foreign direct investment (FDI) flows into China increased from zero to $602 billion, and exports by foreign-invested enterprises in 2005 comprised 57 percent of China's total exports. FDI promotes China's exports mainly through labor-intensive processes and component specialization within vertically integrated international industries. However, the challenge facing China is how to increase domestic value added and how to upgrade its industry in international production networks.

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Firms Financial Inclusion and Export Performance: Evidence from Manufacturing Sector Firms in Pakistan
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Financial inclusion of firms is crucial to create jobs, boost economic growth, and promote sustainable development. The study examines how financial inclusion affects enterprise export performance based on access to finance ratios. The study analyses the effects of firms’ financial inclusion determinants and macro environment factors on firms’ export values. The data comes from Pakistan’s manufacturing sector covering 400 firms listed on Pakistan Stock Exchange from 1999-2021. Driven by the nature of the data, the Method of Moment Quantile Regression is employed to assess the below and above mean regression estimations, and a two-step system GMM approach is used to address endogeneity concerns. The results of the study are robust against different specifications. The study reveals that assets positively impact a firm’s export performance, emphasising the importance of asset investment for foreign market competition. Asset tangibility negatively impacts export performance, except for low-gearing corporations, and fixed assets dominate. A balanced asset mix is crucial for improving exports. Debt-to-equity ratios, except for high-gearing firms, boost export performance, but domestic firms with high leverage ratios are more likely to fail. To avoid excessive leverage risks, firms must balance debt and equity. Diversifying the asset mix to include liquid and intellectual property can boost export success. Gearing affects export performance differently depending on a firm’s debt levels. Low-geared enterprises can leverage assets and debt to boost exports, while high-geared enterprises may be financially constrained and face challenges from excessive debt. Therefore, enterprises must carefully examine their gearing levels and make informed decisions on optimising their asset composition for optimal export performance. The study also opens up the possibility of further research on the role of exchange rates and firms’ investment in line with export performance.

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Firms Financial Inclusion and Export Performance: Evidence from Manufacturing Sector Firms in Pakistan
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Financial inclusion of firms is crucial to create jobs, boost economic growth, and promote sustainable development. The study examines how financial inclusion affects enterprise export performance based on access to finance ratios. The study analyses the effects of firms’ financial inclusion determinants and macro environment factors on firms’ export values. The data comes from Pakistan’s manufacturing sector covering 400 firms listed on Pakistan Stock Exchange from 1999-2021. Driven by the nature of the data, the Method of Moment Quantile Regression is employed to assess the below and above mean regression estimations, and a two-step system GMM approach is used to address endogeneity concerns. The results of the study are robust against different specifications. The study reveals that assets positively impact a firm’s export performance, emphasising the importance of asset investment for foreign market competition. Asset tangibility negatively impacts export performance, except for low-gearing corporations, and fixed assets dominate. A balanced asset mix is crucial for improving exports. Debt-to-equity ratios, except for high-gearing firms, boost export performance, but domestic firms with high leverage ratios are more likely to fail. To avoid excessive leverage risks, firms must balance debt and equity. Diversifying the asset mix to include liquid and intellectual property can boost export success. Gearing affects export performance differently depending on a firm’s debt levels. Low-geared enterprises can leverage assets and debt to boost exports, while high-geared enterprises may be financially constrained and face challenges from excessive debt. Therefore, enterprises must carefully examine their gearing levels and make informed decisions on optimising their asset composition for optimal export performance. The study also opens up the possibility of further research on the role of exchange rates and firms’ investment in line with export performance.

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How and when do exporters benefit from an international adaptation strategy? The moderating effect of formal and informal institutional distance
  • Aug 24, 2022
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PurposeDrawing on institutional theory, this study seeks to advance the understanding of how the indirect effect of exporters' adoption of an international adaptation strategy on export performance via enhanced legitimacy is differently moderated by formal and informal institutional distances from the host country market.Design/methodology/approachSurvey data were collected from a sample of 251 exporters in China and analyzed with a multiple regression model to test the hypotheses.FindingsExporters' use of an international adaptation strategy affects their perceived legitimacy, which in turn influences their export performance. Moreover, formal institutional distance strengthens the indirect effect of an international adaptation strategy on export performance via legitimacy, whereas informal institutional distance weakens this indirect effect.Originality/valueThe study contributes to the knowledge of how and when adoption of an international adaptation strategy by exporters benefits export performance from an institutional perspective.

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  • 10.1108/mbr-08-2015-0037
Intensity and diversity of internationalization among small and medium-sized exporters in China
  • Sep 19, 2016
  • Multinational Business Review
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PurposeThis study aims to gauge the interactive effect of export intensity and diversity on export performance among exporters in an emerging economy and explore the moderating effect of export intermediaries on the internationalization–export performance relationship.Design/methodology/approachA survey was undertaken among a convenience sample of small and medium exporters located in Guangdong and Fujian Provinces in South China.FindingsThe results show that intensity and diversity interact negatively with export performance, whereas the use of export agents registered a positive effect. Exporters pursuing a strategy of high export intensity will achieve better performance provided that these exports are concentrated in a few countries. Using export agents can help in enhancing the intensity–performance relationship but not that for diversity–performance.Practical implicationsChinese exporters are advised not to blindly pursue international expansion without regard to their own resources and capabilities. They should try to strike a balance between intensity and diversity and employ external agents when needed.Originality/valueThis research seeks to address the void in the literature on how export intensity and diversity should be balanced to create a positive effect on the performance of exporting ventures in an emerging economy, which is under-addressed in the literature. It is also found that employment of export intermediaries is not always good for export performance.

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INDIGENOUS INNOVATION, FOREIGN TECHNOLOGY TRANSFER AND THE EXPORT PERFORMANCE OF CHINA’S MANUFACTURING INDUSTRIES
  • May 24, 2019
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Although a well-established link is observable in the existing literature on innovation–export interplay, there is a lack of research investigating the distinct impact of a variety of channels for domestic innovation and foreign technology spillovers on export performance in a unified framework. This paper uses a two-digit 1998–2013 panel dataset to empirically investigate the impact of domestic innovation efforts, innovation capability, foreign knowledge spillovers and technology transfer on export performance of large-and-medium-sized industrial enterprises (LMEs) in China. We find that: First, domestic innovation efforts significantly promote industrial export performance, while there is lack of highly-skilled human capital in China which restricts the favorable impact of innovation on exports; Second, technology imported from foreign countries have increased export competitiveness in China. Furthermore, innovative activities of foreign enterprises have led to export boom and this spillover channel experience has a stronger effect on export than one emanating from imported technology; Third, on the whole, foreign knowledge spillover channels have been more effective drivers of export performance than domestic innovation efforts. Fourth, calculations based on contribution to trade balance indicator witness a recent increase in the domestic content of industrial exports in China.

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