class: center, middle, inverse, title-slide .title[ # EC 380: Lecture 5 ] .subtitle[ ## Trade Theory: Specific Factors Model ] .author[ ### Philip Economides ] .date[ ### Winter 2024 ] --- class: inverse, middle # Prologue --- ### Last Time * Countries with no absolute advantage in production can still trade in both Ricardian and HO models * In HO case, advantages are driven by abundancies in different factors which vary across countries -- * While Ricardian trade openness gains for everyone, HO highlights a .hi-pink[reallocation] of resources across industries that may disadvantage the main factor of the now import-reliant sector -- ### Today * Specific Factors model, Model Empirics & Extensions --- # Specific Factors Model <br> .hi-pink[Short run]: factor mobility between industries is limited (e.g. repurosing a large piece of factory machinery to production of another specialized good). -- Same true for labor. -- Suppose world prices adjust and resources begin leaving the US steel industry. -- In long run, they may retrain and find employment elsewhere but in short run they are stuck with pay cuts and potential unemployment. --- # Specific Factors Model <br> -- To address ability of production factors to reallocate across domestic industries, and incorporate .hi-pink[heterogeneity across time], lets add conditions to the .hi-pink[HO model]. -- * Three factors: land, labor, capital * Two goods: steel and bread * `\(Q_{s} = f(K,LB)\)` and `\(Q_{b} = f(LB,LD)\)` -- Labor is our .hi-pink[variable factor] that varies in use between both goods. LD and K are .hi-pink[specific factors] because they are exclusively used for specific goods. --- # Specific Factors Model <br> Modifying the .hi-pink[HO model] slightly, we have now extended it into a .hi-pink[specific factors model]. -- Each good produced with a using a unique specific factor. Variable factor used for both. -- Specific factors are .hi-pink[immobile] and cannot move between the two industries while the variable factor is .hi-pink[mobile]. --- # Specific Factors Model <br> --- # Specific Factors Model <br> With each model we face, trade patterns are always determined by .hi-pink[comparative advantage]. -- Who has the edge in which good in this model? -- As with .hi-pink[HO], this will be determined by factor endowments but critical role is now played by the specific factors. -- For the two goods, they will present different needs for combinations for labor and each industry-specific factor. -- .hi-pink[Comparative advantage] for the industry of which the specific factor is relatively more abundant. --- # Specific Factors Model <br> -- Recall logic of comparative advantage .hi-pink[always comes back to opportunity cost.] -- Ireland well-endowed with land, relative to the UK (high pop density). -- Since Ireland land-abundant, the opportunity cost of an additional unit of bread production is __lower__ than it is in the UK. -- In other words, one additional loaf of bread costs less losses in terms of the capital-intensive good's output relative to the UK. -- What does that imply about the UK's comparative advantage and its primary specific factor that determines this advantage? --- # Specific Factors Model: Income -- <br> How does switching from autarky to an open economy impact the .hi-pink[income distribution]? -- * Each country expands production into industry reliant on specific factor that country is __relatively__ abundant in -- * Demand shrinks for the __scarce__ specific factor of each economy -- * Ireland would cut back on capital-intensive good, capital owners in Ireland are hurt by lower income generated from leasing capital --- # Specific Factors Model: Income -- <br> In contrast, Irish landowners are delighted. Per unit returns on renting land are now higher due to greater domestic demand. * UK sees opposite effect * UK capital owner income rises and UK landowner income falls -- Labor outcomes are indeterminate. It depends on whether labor shares of income generated were higher in the land-industry or capital-industry for each country. --- # Specific Factors Model: Income <br> -- From price perspective: * Land-good demand rises in Ireland, since world price is higher than autarky price of bread. Capital-intensive good's price falls relative to autarky. -- * From UK perspective, the capital-intesive good's price has risen and land-intensive good's price falls. -- Net effects of for labor, following these price changes to world prices, are ambiguous and depend on consumption patterns. --- # Empirical Tests -- So far we have argued these points on trade gains based exclusively on theory. -- You should always ask yourself two questions: -- 1. Do the predictions of a generalized model hold in the data? -- 2. Are there other reasons these predict patterns may be observed in the data? -- A great deal of work from economists works towards translating theory into empirical analysis -- For example, .hi-pink[Blonigen & Wilson (2008)] examines whether port efficiency allows for greater volumne of trade --- # Empirical Tests: Comparative Adv. <br> -- All trade theories boil down to differences between countries establishing .hi-pink[comparative advantages] and motivating trade. -- Each theory predicts which goods a country will import and export. -- Empirical tests of trade are difficult due to our inability to observe an .hi-pink['autarky' counterfactual] and difficulty in .hi-pink[measuring factor endowments]. -- Rather than going between extremes of no-trade to completely free trade, we normally imagine changes in .hi-pink['trade openness'] as a result of : * Lower tariff rates and reduced trade quotas --- # Empirical Tests: Comparative Adv. <br> -- .hi-pink[Ricardian Model]: Challenging to test due to relative differences in technology, which augment labor productivity, being hard to interlink. -- .hi-pink[HO Model]: Even harder to apply tests for given the challenges involved in accurately measuring factor endowments. Our measures of land and capital values are imprecise estimates. -- As a result, Ricardian models have been more frequently and successfully tested. -- .hi-pink[Findings]: As labor productivity in a particular industry rises, the intensive margin by which goods are export are exported increases. Country becomes a net exporter of that good. --- # Empirical Tests: Comparative Adv. <br> -- Tests of HO are more mixed. -- Cross-country measures of capital, land and labor endowments are often measured using different means due to .hi-pink[methodological differences] across various national accounting bodies. -- For example, housing's contribution to CPI is based on mortgage values in Europe while the US uses a rental equivalence approach. -- .hi-pink[McQuinn et al. (2018)] highlights that these differences in methodological approaches can have severe consequences for the resulting inflation index. --- # Empirical Tests: Comparative Adv. <br> So how do we address international economic theories when countries are all measuring our key statistics in different manners? -- This normally requires an NGO or world body to apply data collection methods in a cross-country manner. -- For example, data from .hi-pink[Enterprise Surveys] provided to me by the World Bank yields firm-level data on capital holdings, labor expenditure, land ownerships, sales, as well as trade activity. -- This has allowed me to address how .hi-pink[corruption] acts as a barrier to trade activity at the firm level and, in turn, limit nations' gains from trade. --- # Empirical Tests: Comparative Adv. <br> -- Other differences between countries, beyond technology and factor endowments, explain differences in trade flows across countries. -- * Economies of scale * Corporate structures * Economic policy * Public infrastructure * Institutional quality --- # Extensions to Trade Theory <br> -- Given these empirical concerns and other key country-level differences, further extensions to HO have been developed. -- .pull-left[ * Gravity Model ] -- .pull-right[ * Trade vs FDI ] -- .pull-left[ * Product Cycle ] -- .pull-right[ * Offshoring & outsourcing ] <br> -- Each of these theoretical settings explains a portion of existing trade. --- # Extension: Gravity Model <br> -- To explain how a country trades with other countries, we must factor in distance and GDP. -- - The .hi-pink[larger] the other country is, the more demand it represents on the global market for our given good - The .hi-pink[closer] that other country is, the cheaper it is to access that market -- Many empirical analyses leverage model specifications on these key factors, which explain much of the variation observed in country-level trade flows. --- # Extension: Product Cycle <br> -- Developed by Raymond Vernon, explains exports of sophisticated manufactured goods from countries scarce in skilled labor and capital. -- .hi-pink[HO model] would be scratching its head over this phenomenon. -- Many manufactured goods go through product cycle where .hi-pink[factor inputs change over time]. -- At these early stages, product components change often and require proximity to market of demand for updates/changes. -- Developing and experimenting on new components takes considerably sosphisticated capital and highly skilled labor. --- # Extension: Product Cycle -- Over time, product incorporates less adjustments to design. -- Can be consistently produced without further value-added contributions from .hi-pink[development phase] factors of production. -- .hi-pink[Standardized phase] begins and production contributions are increasingly stemming from unskilled labor factor. -- In the .hi-pink[late phase] of the product cycle, when consumption exceeds local production, costs are kept low by moving out production to other countries specialized in providing unskilled labor services -- Composition of factor inputs changing over time leads to relocation of production efforts, increasingly towards unskilled labor setting. --- # Extension: Trade/FDI -- In .hi-pink[product cycle] argument, firms invest abroad and some output generated is sent home for consumption. -- This pattern differs greatly from .hi-pink[HO], where no investment abroad is accounted for and factor endowments cannot cross countries. -- .hi-pink[FDI]: This theory suggests cases may exist where firms elect to .hi-pink[invest abroad] rather than ship goods abroad. -- .hi-pink[Intrafirm trade]: It also suggests output shipped from foreign affiliate back home is handled under one firm's umbrella. -- > IE: By the mid-90s, `\(\frac{1}{3}\)` of US goods exports and `\(\frac{2}{5}\)` of US goods imports attributed to intrafirm trade. --- # Extension: Trade/FDI <br> -- .hi-pink[Why do some firms set up foreign operations instead of buying imports directly from foreign firm? Why do some firms build factories abroad to sell in a foreign market, rather than just export to that market?] -- There must be scenarios in which either choice is the profit maximizing decision, dependent on a choice set of key characteristics. -- The product cycle theory would suggest low income countries should be hubs for FDI, but not the case in the data. The greatest proportion of FDI goes .hi-pink[between developed nations]. -- Separate theory exists to explain this .hi-pink[proximity-concentration] trade-off, but beyond scope of this class. --- # Extension: Offshore/Outsource <br> -- .hi-pink[Offshoring]: Set up a plant abroad to make stuff. -- .hi-pink[Outsourcing]: Contract a different enterprise to make stuff for you. Agreement can be international. -- Modernization of the trade process has made these .hi-pink[international features] of production and distribution chains more feasible. -- Largely driven in the 1990s by internet availability, satellite communication, containerization of cargo and better computing power. -- Easier to succesfully manage business operations abroad (marginal cost of multinational enterprise operations lower). --- # Extension: Offshore/Outsource <br> -- Effects include a trend towards international production, with comparative advantages across countries featuring in individual firms' supply chains. -- Rather an specialize in goods, countries can specialize in .hi-pink[key intermediate inputs]. -- Trade economists refer to this as increased formations of .hi-pink[global value chains]. -- Many exports and local production processes now rely on the availability of imports. .hi-pink[Huge vulnerability if ports become congested]. --- ### To summarise: * .hi-pink[Specific Factors Model] predicts gains and loses when switching from autarky to free trade * Model empirics are supportive of .hi-pink[Ricardo model], but have mixed results for .hi-pink[HO model] * Predictions of HO deviated from in data * These differences can be explained by patterns in FDI that substitute for what would otherwise be trade flows -- ### Next time Discuss issues of trade wrt jobs, wages and migration --- exclude: true