Global economic restructuring and technological change are transforming the map of global production and the global division of labor. Based on the perspectives of global value chains and global production networks, this study analyzes the production networks, value chains, and spatial organization of the computer industry in China. It was found that the notion of a symmetric, bell-shaped smiling curve is a highly idealized conceptual framework, and for a developing country like China where leading firms have yet to become top-tier transnational corporations, the smiling curve more likely exhibits a flattened saucer shape. China is also increasingly being integrated into global production networks, and a new form of spatial organization, centered on emerging global cities and globalizing cities, is emerging. An investigation of the global-local networks of the computer industry showed that the embeddedness of transnational corporations (TNCs) is heavily influenced by industrial characteristics and geographical/institutional contexts.
This study examines the economic and welfare effects of a commodity price support policy. It conceptually and empirically evaluates the effects of the domestic pricing policy on the distribution of commodity prices, with an application to the price support program in the Chinese rice market. The empirical analysis relies on a Censored Quantile Autoregression (CQAR) model, which provides a refined and flexible representation of the evolving distribution of prices under a price support program. Based on monthly data over the period 2000-2018, we develop and estimate an econometric model documenting the price effects of policy interventions. We study how a price support program affects price distribution both in the short term and long term. We find that such a program has reduced the domestic rice price volatility, evidenced by lowered variation and increased right-skewness of the price distribution. We also show how China's rice programs' high price support level during the period 2008-2015 caused significant censoring effects and price enhancement with adverse impacts on consumer welfare across all income levels. We further examine alternative situations where a moderate price support level can reduce the long-term mean price without generating consumer welfare losses. Our analysis and findings have implications for the implementation of agricultural price support policies in many developing countries.
Government intervention and structural transformation play an important role in both the economy and carbon emissions. Based on provincial panel data from China from 2003 to 2020, this paper employs econometric models to investigate the impact of government intervention and structural transformation on carbon emissions. In particular, structural transformation is divided into two indicators: The rationalization of the industrial structure and the upgrading of the industrial structure. According to the research findings, government intervention has significantly promoted carbon emissions and structural transformation has had dual effects on carbon emissions; meanwhile, the rationalization of the industrial structure has significantly increased carbon emissions, while the upgrading of the industrial structure has slowed down carbon emissions, with these findings passing the corresponding robustness test. The relationship between government intervention, structural transformation, and carbon emissions varies significantly over time and across regions. Further investigations revealed that government intervention and structural transformation have a significant impact on carbon emissions in various panel quantiles. Finally, the paper makes policy recommendations in order to provide empirical support for promoting China’s high-quality economic development and achieving the “double carbon” goal.
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