focalinterest.net

Tag: Trade & Globalization

  • Trade and migration frictions have opposite effects on unemployment

    What the study found

    The study finds that international trade and reductions in intersectoral allocation frictions, meaning barriers that make it harder for workers to move between sectors, have opposite effects on unemployment. It also identifies the reallocation of market shares toward more productive firms as a key mechanism in trade’s impact.

    Why the authors say this matters

    The authors say the paper contributes to understanding the drivers of structural change, a central topic in development economics. The study suggests that comparing different mechanisms can clarify how labour reallocation out of agriculture affects other labour-market outcomes.

    What the researchers tested

    The paper examines two forces behind labour reallocation out of agriculture: international trade and reductions in intersectoral allocation frictions. It uses both theoretical and empirical analysis to compare their effects on unemployment and on the movement of market shares across firms.

    What worked and what didn't

    Both theoretically and empirically, the paper finds opposite effects on unemployment from the two forces it studies. It also finds that the shift of market shares toward more productive firms is an important channel for trade; the abstract does not report any other results.

    What to keep in mind

    The available summary does not describe the specific data, sample, or setting. It also does not provide details on model assumptions, effect sizes, or limitations beyond the stated comparison of trade and allocation frictions.

    • International trade and reductions in intersectoral allocation frictions are linked to opposite effects on unemployment.
    • The paper focuses on labour reallocation out of agriculture.
    • The authors identify market-share shifts toward more productive firms as a key mechanism in trade’s impact.
    • The study combines theoretical and empirical analysis.
    • The abstract does not report effect sizes or specific data sources.

  • Only three industries showed an S-curve in Pakistan-Japan trade

    What the study found

    The study found that the S-curve pattern was present in only three of the fifteen 2-digit industries examined in trade between Pakistan and Japan. It also found that exchange rate depreciation was not favorable to improving Pakistan's trade balance with Japan.

    Why the authors say this matters

    The authors conclude that policymakers should look beyond exchange rates when trying to expand a country's trade balance. They suggest focusing on product diversification, innovation, and trade facilitation.

    What the researchers tested

    The researchers reexamined the S-curve phenomenon at the industry level rather than at the aggregate level. They used the cross-correlation function to analyze trade between Pakistan and Japan across fifteen 2-digit industries.

    What worked and what didn't

    The S-curve pattern appeared in three industries, but not in the other twelve. The study's evidence indicates that exchange rate depreciation did not help improve Pakistan's trade balance with Japan.

    What to keep in mind

    The abstract does not provide details about the specific industries, the time period studied, or other methodological limits. It also does not describe whether the findings are intended to apply beyond Pakistan-Japan trade.

    • The S-curve was found in 3 of 15 industries.
    • The study examined trade between Pakistan and Japan.
    • Exchange rate depreciation was not favorable for Pakistan's trade balance with Japan.
    • The authors suggest focusing on product diversification, innovation, and trade facilitation.
    • The analysis used the cross-correlation function at the industry level.

  • Global tariffs converged long term, then diverged after 2018

    What the study found

    The study found a long-term convergence in global tariffs, meaning countries with higher tariff levels reduced them faster over time. It also found a post-2018 divergence led by the United States, after a period in which tariff differences across countries had generally been narrowing.

    Why the authors say this matters

    The authors conclude that the findings point to a structural shift in global tariff policy and suggest that uncoordinated protectionism can disrupt policy alignment and increase uncertainty for global value chains. They also state that international coordination, institutional reform, and multilateral negotiation remain important for sustaining openness.

    What the researchers tested

    The researchers analyzed a balanced panel dataset for the USA, China, Japan, the European Union, and the world average from 1990 to 2020. They used beta-convergence and sigma-convergence tests, Quandt-Andrews structural break tests, and a difference-in-differences model, with Driscoll-Kraay standard errors to address cross-sectional dependence and serial correlation.

    What worked and what didn't

    Beta-convergence results showed that initially high-tariff economies reduced tariffs more rapidly. Sigma-convergence results showed a steady decline in cross-country tariff dispersion, though the pace slowed after the 2000s. Structural break tests identified liberalization episodes in the European Union in 1993, Japan in 1995, and China in 1994 and 2001, while the United States showed clear divergence after 2018; the difference-in-differences estimates showed US tariffs increased significantly relative to other economies.

    What to keep in mind

    The tariff data end in 2020, so the analysis does not fully capture the final phase of the Trump administration's protectionist measures or the broader trade disruptions caused by COVID-19. The study also focuses only on tariff indicators and does not include non-tariff measures.

    • Global tariffs showed a long-term convergence trend from 1990 to 2020.
    • Cross-country tariff dispersion declined over time, but convergence slowed after the 2000s.
    • The European Union, Japan, and China each had identified liberalization turning points linked to institutional reforms.
    • The United States diverged after 2018, with tariffs rising significantly relative to other economies.
    • The dataset ends in 2020 and does not include non-tariff measures.