In 2023, China experienced a post-pandemic recovery significantly weaker than expected, with growth of 5.2% marking its worst performance in over three decades, excluding pandemic-distorted years. Although this result met the government’s target, it reflects deep structural imbalances: a severe real estate crisis, weak domestic consumption, high youth unemployment, and geopolitical tensions that have hampered exports. Widespread lack of confidence prevented the return to normality after health restrictions from translating into sustained economic dynamism, forcing authorities to consider more aggressive stimulus measures to revive activity. Transparency and quality of official data are critical for understanding the true magnitude of these challenges. Indicators such as unemployment exhibit notable methodological limitations, excluding rural workers and omitting key details about young people, which complicates precise analysis of the labor market. Meanwhile, demographic trends show an acceleration in population decline, with China now surpassed by India. These data demonstrate that official macroeconomic figures, without deep analytical context and access to disaggregated information, can mask systemic vulnerabilities that affect long-term social and economic stability. The relevance of this article to open data lies in the need for accessible, complete, and disaggregated data to truly assess economic well-being and inform policy decisions. The lack of transparency in sensitive areas, such as youth employment or corporate debt, generates uncertainty for investors and citizens. Promoting the openness of government data would enable independent auditing of stimulus policies and better management of structural crises. In a world seeking to reduce its dependence on China, the availability of reliable economic information is essential for assessing real risks and investment opportunities based on evidence, rather than optimistic narratives.
Source: ensegundos.doPublished on 2024-01-18