BUSI 300 - Chapter 3

(a)1 How does the chapter's example of rising world oil prices and Alberta's economic expansion illustrate the relationship between external economic events, regional growth, migration, and real estate markets?

(a)2 What does the spatial distribution of economic activity in Canada reveal about regional concentration, and why is economic activity generally distributed unevenly across geographic areas?

(a)3 Under what three assumptions would economic activity be distributed uniformly across a flat, featureless plain, and why would individuals have no incentive to concentrate production under these conditions?

(a)4 What are the three fundamental economic forces that determine the spatial distribution of economic activity, and how do their interactions help explain why firms and workers concentrate in particular regions?

(a)5 Why has employment in Canada's service sector increased relative to manufacturing employment since World War II, and what does this reveal about the effects of technological progress on regional economic structure?

(a)1 The increase in world oil prices raised the value of Alberta's oil production, encouraging oil companies to expand their operations and increase their demand for workers.

Higher wages and improved employment opportunities attracted migrants from other Canadian regions. Population growth then increased demand for housing and other real estate, contributing to rising property values in Calgary and Edmonton.

The example illustrates how an external change in a region's export market can produce a chain of effects involving production, employment, migration, population growth, and real estate markets.

(a)2 Economic activity is concentrated in relatively few regions rather than distributed evenly across Canada.

The chapter's 2012 data show that Ontario and Quebec together accounted for more than half of Canadian economic activity, with Alberta and British Columbia also accounting for substantial shares.

This uneven distribution reflects differences in resource availability, transportation costs, economies of scale, and the attractiveness of particular locations for firms and workers.

The same general pattern of geographic concentration occurs in other countries.

(a)3 A uniform distribution of economic activity would arise under three assumptions:

1. Land is homogeneous, and natural resources are available everywhere in unlimited quantities.

2. Transportation is costly.

3. There are no economies of scale, so goods can be produced equally efficiently at any production scale.

Under these conditions, individuals could produce everything they require at home without sacrificing productive efficiency.

Concentrating production would provide no cost advantage but would introduce additional transportation costs for workers and goods.

Consequently, individuals would be better off producing in isolation, and there would be no economic incentive for clustering.

(a)4 The three fundamental forces are economies of scale, transportation costs, and the geographic distribution of resources.

Economies of scale encourage firms to concentrate production because average production costs decline as output increases.

Transportation costs influence whether firms locate close to input suppliers, consumers, or other firms.

Resource locations make some regions more attractive for industries requiring particular natural resources.

Together, these forces encourage economic activity to concentrate in locations where the benefits of large-scale production and access to resources and markets exceed the associated transportation costs.

(a)5 Technological progress has reduced labour requirements in manufacturing more substantially than in services.

Many manufacturing processes can be automated, allowing firms to produce greater output with fewer workers. Service industries are generally more difficult to automate.

At the same time, demand for services has grown.

Consequently, the proportion of total employment in manufacturing has declined while the proportion employed in services has increased.

The chapter's historical discussion and 2012 employment data illustrate Canada's transition toward an economy dominated by service industries.

(b)1 What is a location quotient (LQ), how is it calculated, and how should values greater than, equal to, or less than one be interpreted? If an industry accounts for 12% of regional employment and 4% of national employment, calculate its location quotient.

(b)2 How are location quotients used to identify basic and non-basic industries, and why should a location quotient greater than one be interpreted as an indicator of export activity rather than direct proof that an industry exports most of its production?

(b)3 What is the difference between basic and non-basic industries, and why are basic industries traditionally considered engines of regional growth? Explain why exports are not strictly necessary for regional economic growth.

(b)4 What do the chapter's employment tables reveal about industrial specialization in British Columbia, Alberta, Ontario, and Quebec? Why does examining more narrowly defined industries reveal stronger specialization than examining broad industry groups?

(b)5 What is the North American Industry Classification System (NAICS), and how does its hierarchical structure help economists analyze differences in regional industrial specialization?

(b)1 A location quotient measures the relative importance of an industry within a region compared with its importance nationally.

LQ = Percentage of regional employment in the industry ÷ Percentage of national employment in the industry.

For the example, LQ = 12% ÷ 4% = 3.

An LQ greater than 1 indicates that the industry accounts for a larger share of regional employment than national employment.

An LQ equal to 1 indicates equal employment shares, while an LQ below 1 indicates that the industry is less important regionally than nationally.

(b)2 Location quotients are used to distinguish between industries that are relatively concentrated in a region and those that mainly serve its local economy.

The chapter classifies industries with LQ greater than 1 as basic or export industries and those with LQ below 1 as non-basic industries.

The underlying assumption is that employment exceeding the national average share represents production intended for markets outside the region.

However, an LQ measures relative employment concentration, not actual export sales. The classification is therefore based on an inference about the industry's economic role rather than a direct measurement of its exports.

(b)3 Basic industries produce goods or services for markets outside the region, bringing income into the regional economy.

Non-basic industries primarily serve local consumers and businesses, circulating income already present within the region.

Basic industries are traditionally viewed as engines of regional growth because an expansion in export demand can increase regional production, employment, income, and spending on local goods and services.

However, exports are not essential for growth. A region can also expand by producing goods and services that it previously imported from elsewhere, a process called import substitution.

(b)4 The chapter's 2012 employment tables illustrate several patterns of regional specialization.

British Columbia had relatively high concentrations of forestry and logging, sawmills, and pulp and paper production.

Alberta had a particularly strong concentration in mining, quarrying, oil and gas extraction, as well as certain chemical and metal manufacturing industries.

Ontario had relatively high concentrations in manufacturing activities such as communications equipment, while Quebec showed specialization in manufacturing activities such as aerospace products and parts.

Broad industry categories combine many different activities, potentially concealing strong concentrations in particular subindustries. More detailed classifications reveal these specializations more clearly.

(b)5 NAICS is a standardized system developed jointly by Canada, the United States, and Mexico to classify economic activities according to their production processes.

It uses a hierarchical structure, moving from broad industry sectors to increasingly specific industry categories.

For example, the broad real estate and rental and leasing sector can be divided into real estate activities and then more specific activities such as real estate property management.

The system allows economists to compare industrial employment across regions and examine specialization at different levels of detail.

(c)1 Why are regional economies described as open economies, and what do the chapter's interprovincial trade data demonstrate about the importance of trade between Canadian regions?

(c)2 What are the principal determinants of interregional migration, and why might workers choose to move to a region offering higher wages or better employment opportunities?

(c)3 Why might workers accept lower wages in one region than in another, and how do housing prices, amenities, and government social policies influence migration decisions?

(c)4 How do international immigration and interprovincial migration contribute to regional growth? Use the chapter's discussion of Vancouver to explain how migration can influence population, economic activity, and real estate markets.

(c)5 Why is a firm's demand for labour considered derived demand, and how does the value of the goods produced by workers influence the firm's willingness to employ additional labour?

(c)1 Regional economies are open economies because they exchange goods, services, and funds with other regions and countries.

The chapter's 2009 trade data show that trade between Canadian provinces was substantial, with total interprovincial trade flows amounting to approximately 70% of Canada's international trade flows.

For more than half of the provinces, imports from other Canadian regions exceeded imports from foreign countries.

These patterns demonstrate that regional economic performance depends heavily on trade with external areas rather than exclusively on local production and consumption.

(c)2 Interregional migration is strongly influenced by differences in wages and employment opportunities.

Workers are attracted to regions offering higher earnings or a greater likelihood of finding employment.

They may leave regions experiencing weak labour demand, limited employment opportunities, or relatively low wages.

Migration therefore connects regional labour markets and allows workers to respond to differences in economic conditions across geographic areas.

(c)3 Workers consider more than wages when choosing where to live.

A region with desirable physical or cultural amenities may attract workers even when it offers lower wages.

Lower housing costs can also make a region attractive by increasing the purchasing power of workers' earnings.

Government social policies and public services may influence location decisions by changing the overall benefits of living in a region.

Consequently, workers may accept lower nominal wages in exchange for greater housing affordability, desirable amenities, or other advantages.

(c)4 Both international immigration and interprovincial migration increase a region's population and potential labour force.

Population growth increases demand for goods, services, housing, and other real estate, potentially encouraging additional production and investment.

The chapter describes Vancouver's substantial immigration from Asian countries, including China, India, and the Philippines.

It identifies quality of life and Vancouver's Pacific Coast location as factors contributing to its attractiveness to immigrants.

The resulting population growth influences regional economic activity, cultural and social conditions, housing demand, and property values.

(c)5 Labour demand is derived demand because firms employ workers to produce goods and services that can be sold in product markets.

The value of hiring an additional worker depends on the value of the additional output the worker produces.

If this additional output generates more revenue than the cost of employing the worker, hiring the worker increases the firm's profit.

Consequently, changes in the demand for a region's products, their selling prices, or worker productivity can influence the demand for labour.

(d)1 What does the production function Q = F(L) represent, and why does the chapter assume that output increases at a decreasing rate as additional workers are employed while other inputs remain fixed?

(d)2 What is the marginal product of labour (MPL), how is it calculated and represented graphically, and why does it generally decline as a firm employs additional workers?

(d)3 What is the value of the marginal product of labour (VMPL), how is it calculated, and how do changes in worker productivity and the price of the firm's output affect it?

(d)4 How does a profit-maximizing firm determine its optimal employment level, and why does the VMPL curve represent the firm's demand for labour?

(d)5 How is labour supply determined by the trade-off between income and leisure, and how does the ability of workers to migrate between regions affect regional labour markets?

(d)1 The production function Q = F(L) expresses a firm's output Q as a function of the quantity of labour L employed.

The model assumes labour is the only variable input, while other inputs such as land, capital, and materials remain fixed.

Additional labour increases total output, but successive workers generally contribute progressively smaller increases in production.

When few workers are employed, additional labour may produce substantial improvements in output.

As employment increases while other inputs remain fixed, additional workers have fewer productive opportunities, causing the production function to become flatter.

(d)2 The marginal product of labour is the additional output generated by employing one additional unit of labour.

MPL = Change in output ÷ Change in labour = ΔQ ÷ ΔL.

Graphically, MPL is represented by the slope of the production function at a particular employment level.

The chapter assumes diminishing marginal product of labour: as employment increases while other inputs remain fixed, each additional worker contributes less additional output.

Consequently, the MPL curve slopes downward.

(d)3 The value of the marginal product of labour measures the additional revenue generated by employing one more unit of labour.

VMPL = p × MPL, where p is the selling price of the firm's output.

An increase in worker productivity raises MPL and therefore increases VMPL.

An increase in the output price also raises VMPL because the additional output produced by each worker can be sold for a higher price.

Thus, a worker can become more valuable to a firm even when the worker's physical productivity remains unchanged.

(d)4 A profit-maximizing firm compares the additional revenue generated by a worker with the cost of employing that worker.

The marginal benefit of employing labour is VMPL, while the marginal cost is the wage w, broadly interpreted to include the costs of employment.

If VMPL exceeds w, hiring another worker increases profit.

If VMPL is below w, hiring another worker reduces profit.

The profit-maximizing employment level occurs where VMPL = w.

Because VMPL declines as employment increases, the VMPL curve describes the quantity of labour a firm is willing to employ at different wage levels and therefore represents its labour demand curve.

(d)5 Individuals make labour supply decisions by comparing the income earned from working with the value of leisure.

Higher wages generally encourage individuals to supply more labour, producing an upward-sloping labour supply curve, at least over the relevant range.

In regional economics, labour supply also involves a location decision.

Workers can migrate toward regions offering higher wages or better employment opportunities, increasing labour supply in those regions.

This mobility links labour markets across regions and influences the geographic distribution of employment and population.

(e)1 Under the chapter's simple two-region development model, what conditions determine the equilibrium wage and allocation of workers between regions A and B, and what assumptions are necessary for this equilibrium?

(e)2 How are the labour demand curves of two regions combined graphically to determine the equilibrium allocation of a fixed national labour force, and what does the intersection of the curves represent?

(e)3 Region A has MPLA = 20 – ½LA and output price pA = $2. Region B has MPLB = 10 – (1/12)LB and output price pB = $3. The total labour force is 100 thousand workers. Assuming free migration and identical workers, calculate the equilibrium wage and allocation of workers between the two regions.

(e)4 In the short run, what happens to wages and employment in regions A and B when the price of the product produced in region B increases? Explain why the initial effects differ between the regions.

(e)5 In the long run, how does migration alter the effects of an increase in region B's output price on employment and wages in both regions? Explain the adjustment process leading to a new equilibrium.

(e)1 The simple regional development model assumes that workers migrate toward regions offering higher wages and leave regions offering lower wages.

Workers are assumed to be identical, able to move freely between regions, and concerned only with wages. The total labour force is fixed.

The equilibrium conditions are:

wA = wB, meaning wages are equal in both regions.

LA + LB = L, meaning the combined regional employment equals the total labour force.

At equilibrium, workers have no wage-based incentive to migrate between the two regions.

(e)2 The two regional labour demand curves are combined on a common graph with a single horizontal axis representing the fixed total labour force.

The number of workers employed in region A increases from left to right, while the number employed in region B increases from right to left.

Region B's demand curve is therefore reversed horizontally before the curves are combined.

The intersection represents the allocation of workers at which wages are equal in both regions.

At that point, the workers allocated to A and B together equal the available national labour force, and there is no wage-based incentive for further migration.

(e)3 First, derive each region's labour demand equation using VMPL = p × MPL.

Region A: DA = 2(20 – ½LA) = 40 – LA.

Region B: DB = 3(10 – (1/12)LB) = 30 – ¼LB.

At equilibrium, DA = DB and LA + LB = 100.

Substitute LB = 100 – LA into the wage equality:

40 – LA = 30 – ¼(100 – LA).

Simplifying gives 40 – LA = 5 + ¼LA.

Therefore, 35 = 1.25LA, so LA = 28.

LB = 100 – 28 = 72.

Substituting either employment level into its labour demand equation gives the equilibrium wage:

w = 40 – 28 = $12.

The equilibrium allocation is 28,000 workers in region A and 72,000 workers in region B, with an equilibrium wage of $12 in both regions.

(e)4 An increase in region B's output price raises the VMPL of its workers and shifts its labour demand curve outward.

In the short run, workers cannot immediately migrate between regions, so the number of workers in each region remains fixed.

Region B's employers compete for the existing workforce, causing wages in B to rise.

Region A's labour demand and workforce remain unchanged, so its wage initially remains unchanged.

Consequently, region B temporarily offers higher wages than region A, creating an incentive for future migration.

(e)5 In the long run, workers respond to region B's higher wages by migrating from region A to region B.

The resulting increase in labour supply in B reduces its wage from the initial short-run peak.

At the same time, the reduction in region A's workforce raises its wage as employers compete to retain workers.

Migration continues until wages become equal again.

The new equilibrium has more workers in region B, fewer workers in region A, and higher wages in both regions than before the increase in B's output price.

(f)1 Trace the economic mechanism through which an increase in demand for a region's basic export good can produce regional population growth and higher real estate values. Use Alberta's oil industry as an example.

(f)2 What is regional economic convergence, and why does labour mobility tend to reduce differences in wages and employment opportunities between regions over time?

(f)3 How can interregional migration spread the effects of favourable and unfavourable economic shocks across regions, and why might this reduce the effectiveness of regional economic development programs?

(f)4 How does incorporating land and real estate markets into the simple regional development model change its predictions about the effects of regional economic growth or decline?

(f)5 What is a regional multiplier, and why can an initial increase in spending generate a cumulative increase in local economic activity that is larger than the original expenditure?

(f)1 An increase in export demand raises the selling price of a region's basic product.

The higher output price increases VMPL, encouraging firms to increase labour demand and offer higher wages.

Improved employment opportunities attract workers and their families from other regions, increasing population and local spending.

Population growth increases demand for housing, commercial space, and other real estate, contributing to higher property values.

The chapter illustrates this mechanism through Alberta's oil industry: higher world oil prices encouraged production and employment growth, attracted interprovincial migrants, and contributed to economic and real estate expansion in Calgary and Edmonton.

(f)2 Regional economic convergence is the tendency for differences in earnings and employment opportunities between regions to diminish over time.

When one region offers higher wages, workers are attracted from lower-wage regions.

The resulting increase in labour supply puts downward pressure on wages in the receiving region, while reduced labour supply puts upward pressure on wages in the regions losing workers.

This adjustment continues until wage differences are eliminated under the simple model's assumptions.

(f)3 A favourable economic shock increases labour demand and wages in the affected region, attracting workers from other regions.

Migration increases labour supply in the expanding region and reduces it elsewhere, spreading the effects of the shock across regional labour markets.

Conversely, workers leaving a region experiencing an unfavourable shock can reduce labour supply there and partially offset the decline in wages.

A regional development program that improves wages or employment opportunities may attract migrants, increasing labour supply and reducing some of the program's intended wage effects.

However, the chapter notes that actual interprovincial migration can be relatively slow and limited, so migration does not necessarily eliminate the potential effectiveness of regional growth policies.

(f)4 Adding real estate markets connects regional economic conditions to housing demand and property prices.

A favourable economic shock increases labour demand and employment opportunities, attracting migrants and increasing population.

The resulting growth in demand for housing and other real estate tends to raise property prices.

An unfavourable shock reduces labour demand, earnings, and employment opportunities, encouraging out-migration.

Population decline then reduces real estate demand and puts downward pressure on property prices.

Housing prices can also influence subsequent migration decisions, as workers compare employment opportunities with housing affordability across regions.

(f)5 A regional multiplier measures the cumulative economic effect of an initial increase in local spending.

An initial expenditure becomes income for local workers and businesses, who spend part of that additional income on other goods and services.

These expenditures become income for additional individuals and firms, generating further rounds of spending.

Because each round creates additional local economic activity, the cumulative effect can exceed the original expenditure.

However, each successive round is smaller because part of the income is removed from local circulation through savings, taxes, and imports.

(g)1 What is the exogenous spending multiplier formula, and what do its variables represent? Explain how savings, taxation, and imports affect the circulation of income within a regional economy.

(g)2 A region receives an initial increase in spending of $100,000. Its marginal propensity to consume is 0.8, its tax rate is 0.3, and its marginal propensity to import is 0.2. Calculate the exogenous spending multiplier and the cumulative increase in local spending.

(g)3 Why does an increase in the marginal propensity to consume raise the regional multiplier, while increases in taxation or the marginal propensity to import reduce it? Explain using the successive rounds of spending.

(g)4 How does the regional multiplier help economists evaluate the economic consequences of new investment, increased exports, tourism, or government spending? Why is the proportion of income spent locally important?

(g)5 According to classical location theory, how do transportation costs, proximity to raw materials, and access to markets determine a firm's optimal location when production costs do not vary geographically?

(g)1 The chapter's exogenous spending multiplier formula is:

Cumulative change in local spending = ΔY × [1 ÷ (1 – c(1 – t)(1 – m))].

Where:

ΔY = Initial increase in local spending.

c = Marginal propensity to consume, or the fraction of additional disposable income spent rather than saved.

t = Government tax rate.

m = Marginal propensity to import, or the fraction of consumption expenditure spent on goods and services imported from outside the region.

The multiplier is 1 ÷ (1 – c(1 – t)(1 – m)).

The expression c(1 – t)(1 – m) represents the fraction of additional income that circulates into another round of local spending.

Savings, taxes, and imports reduce that fraction and therefore reduce the multiplier.

(g)2 Given ΔY = $100,000, c = 0.8, t = 0.3, and m = 0.2:

Multiplier = 1 ÷ [1 – 0.8(1 – 0.3)(1 – 0.2)].

Multiplier = 1 ÷ [1 – 0.8 × 0.7 × 0.8].

Multiplier = 1 ÷ 0.552 ≈ 1.81.

Cumulative change in local spending = $100,000 × 1.81159 ≈ $181,159.

The initial $100,000 expenditure therefore generates approximately $181,159 in cumulative local spending under the model's assumptions.

(g)3 A higher marginal propensity to consume means that individuals spend a larger fraction of their additional disposable income rather than saving it.

More spending enters subsequent rounds of the local economy, increasing the multiplier.

Higher taxation reduces the disposable income available for additional spending.

A higher marginal propensity to import directs more expenditure toward producers outside the region.

Both taxes and imports reduce the fraction of additional income recirculating locally and therefore reduce the multiplier.

The same principle applies to savings: a greater proportion saved means less income enters the next round of spending.

(g)4 Regional multipliers help estimate the total local economic effect of an initial change in spending, such as increased investment, export sales, tourism, or government expenditure.

The initial expenditure creates income for local workers and businesses, which generates additional spending and income throughout the region.

The magnitude of the cumulative effect depends on how much of each additional dollar remains in local circulation.

Regions where consumers and businesses spend a greater proportion of their income locally generally experience larger multiplier effects.

Conversely, greater spending on imports, taxation, or saving reduces the cumulative local effect.

(g)5 Classical location theory assumes that firms choose locations to maximize profit or minimize costs.

If production costs are the same everywhere and only transportation costs vary geographically, the optimal location minimizes the total cost of transporting inputs and finished products.

Firms are attracted toward raw material sources when transporting inputs is more expensive than transporting finished outputs.

They are attracted toward consumer markets when transporting finished products is more expensive than transporting inputs.

The optimal location therefore depends on the relative transportation costs associated with acquiring inputs and delivering outputs.

(h)1 Why do industries such as lumber processing tend to locate near their raw material sources, while industries such as soft drink bottling tend to locate near consumer markets? What determines the optimal location when firms use multiple inputs and serve multiple markets?

(h)2 What is the gravity law of market potential, how is it calculated, and why does the distance parameter b influence the importance of locating near concentrations of purchasing power?

(h)3 A grocery distributor is choosing between locations A and B. It serves three markets with purchasing power of $3,000, $10,000, and $4,000. Their respective distances from A are 14, 28, and 10 km, while their distances from B are 30, 10, and 28 km. Using the gravity law of market potential with b = 2, calculate the market potential of each location and identify which location has greater market potential.

(h)4 Apart from transportation costs and access to markets, what other economic factors influence manufacturing firms' location decisions, and how can these factors create advantages for particular regions?

(h)5 Why were early empirical studies of firm location often unsuccessful, and how does distinguishing between firm births, deaths, relocations, expansions, and new branch plants improve the analysis of regional employment change?

(h)1 Lumber processing tends to locate near forests because transporting unfinished timber is more expensive than transporting finished lumber.

Locating near raw material sources reduces the cost of moving bulky inputs before processing.

Soft drink bottling tends to locate near consumer markets because transporting finished beverages containing water is more expensive than transporting concentrated inputs.

Bottling near consumers therefore reduces the cost of delivering the finished product.

With one input source and one market, the chapter's simplified transportation-cost model places the optimal location at one of those two points.

With multiple inputs and markets, the optimal location requires balancing transportation costs across all relevant sources and destinations.

(h)2 The gravity law of market potential measures the attractiveness of a potential firm location based on the purchasing power of nearby markets and their distances from that location.

For location i, the formula is:

Ti = Y1/d1^b + Y2/d2^b + ... + Ym/dm^b.

Where Ti is the market potential of location i, Y represents the purchasing power of each market, d represents its distance from location i, and b is a positive distance parameter.

Greater purchasing power increases market potential, while greater distance reduces it.

A higher b causes market potential to decline more rapidly with distance, making proximity to large concentrations of purchasing power more important.

The appropriate value of b depends on the industry and application and is generally selected using empirical research.

(h)3 With b = 2, market potential is calculated by dividing each market's purchasing power by the square of its distance and adding the results.

For location A:

TA = 3,000/14² + 10,000/28² + 4,000/10² ≈ 68.1.

For location B:

TB = 3,000/30² + 10,000/10² + 4,000/28² ≈ 108.4.

Location B has greater market potential.

Although A is closer to two of the three markets, B is much closer to the market with the greatest purchasing power.

The example illustrates how access to a large market can outweigh greater distances from smaller markets.

(h)4 Manufacturing firms consider several factors beyond transportation costs and geographic market access.

Important determinants include labour availability, labour costs, worker skills, raw material availability, energy costs, and the general business environment.

A region with suitable skilled workers, accessible suppliers, and nearby customers may allow firms to operate more efficiently.

Existing concentrations of related businesses can also create agglomeration economies, making a region increasingly attractive to new firms.

The importance of individual factors varies by industry and the type of firm making the location decision.

(h)5 Early studies often relied on aggregate data that combined different forms of regional employment change.

However, new firm births, firm deaths, relocations, expansions, and new branch plants arise from different economic decisions.

For example, the location choice of a new business established by a local entrepreneur may differ substantially from the choice made by an existing corporation establishing a new branch plant.

Combining these activities can conceal important relationships between economic conditions and location decisions.

More detailed establishment-level data allow researchers to study different types of firms separately and examine how their location decisions respond to regional characteristics.

(i)1 How does Carlton's model distinguish between the location decisions of new single-establishment firms and new branch plants, and why do the two types of firms respond differently to regional economic conditions?

(i)2 What did Carlton's research find about the influence of wages, energy costs, existing industry activity, technical expertise, and taxes on new firm location decisions?

(i)3 How do the findings of Artz et al. concerning suppliers, customers, skilled labour, existing industrial clusters, and government policies compare with Carlton's findings?

(i)4 How can the availability of technically skilled workers influence firm location decisions beyond the immediate local labour market, and why does this increase the importance of transportation infrastructure?

(i)5 What is New Economic Geography, and how does Krugman's model differ from a simple explanation of regional development based only on fixed natural advantages and transportation costs?

(i)1 Carlton distinguishes between new single-establishment firms and new branch plants.

Single-establishment firms are generally created by local entrepreneurs who establish businesses in places and industries where they already have experience.

Their formation depends on the number of potential local entrepreneurs and the probability that those individuals will establish a business.

Existing local industry activity influences the number of potential entrepreneurs, while expected profitability influences their willingness to start firms.

New branch plants are established by existing firms choosing among alternative locations. These firms compare regional economic conditions and select locations according to their relative attractiveness and expected profitability.

(i)2 Carlton's research found that several regional economic variables influenced the location of new firms.

Lower wages were associated with more new single-establishment firms, while energy costs also influenced new business activity in certain industries.

Existing industry activity increased the number of potential business births, although the regions with the greatest existing activity did not necessarily experience the most new firms.

Technical expertise was particularly important for technologically sophisticated industries and had a stronger influence on single-establishment firms than on new branch plants.

The research found limited support for the proposition that taxes and general improvements in the business climate were major determinants of new firm formation.

These findings describe the particular industries and period examined in Carlton's study rather than establishing identical effects across all locations and periods.

(i)3 Artz et al. found that proximity to upstream suppliers and downstream customers was particularly important for most industries.

Access to skilled labour was also important and was identified as the leading factor for manufacturing firms.

Existing clusters of related businesses attracted new firms, supporting Carlton's finding that established industry activity influences new business formation.

The study also found that an established local monopoly could discourage new entry.

Unlike Carlton's findings of limited effects from taxes and fiscal inducements, Artz et al. identified government expenditures and taxation as statistically significant location factors, although less influential than supplier, customer, and labour-market access.

(i)4 Technologically sophisticated firms require access to workers with suitable technical expertise.

These workers do not necessarily have to reside immediately beside a potential business location if transportation connections allow firms to access a broader labour market.

Consequently, the availability of skilled labour in surrounding regions can influence location decisions.

Transportation infrastructure becomes important because it affects the accessibility of workers and the effective geographic size of the labour market available to firms.

(i)5 New Economic Geography is a theoretical framework examining how increasing returns to scale, transportation costs, resource locations, and mobility influence the geographic concentration of economic activity.

Krugman's model emphasizes that location decisions can be self-reinforcing.

Rather than treating regional economic advantages as entirely predetermined by natural resources or geography, the model shows how the presence of existing firms and workers can make a location more attractive to additional firms and workers.

Consequently, a region's development can depend partly on previous location decisions and the economic concentration those decisions have created.

(j)1 What are the two sectors in Krugman's model of economic geography, and how do they differ in terms of worker mobility, firm mobility, and economies of scale?

(j)2 Explain the process of cumulative causation in Krugman's model. How can the concentration of manufacturing firms, workers, suppliers, and markets make a region increasingly attractive to additional economic activity?

(j)3 What is the difference between economies of scale within an individual firm and external scale economies arising from the concentration of firms in a region? Why are external scale economies important to urban development?

(j)4 Why might a region become an important manufacturing centre even when it initially possesses no significant natural or geographic advantages over competing regions? Explain the role of historical accident and cumulative causation.

(j)5 How do economies of scale, transportation costs, resource locations, labour mobility, and market access jointly explain the emergence of concentrated regional economies rather than an even geographic distribution of production?

(j)1 Krugman's model divides the economy into two sectors.

Manufacturing has economies of scale at the individual plant level. Manufacturing firms and workers are mobile and can choose among alternative locations.

Agriculture has no economies of scale, and farms are geographically immobile.

Because manufacturing benefits from larger-scale production and can relocate, it has an incentive to concentrate in particular regions.

Agricultural production remains geographically dispersed because its locations are fixed and it does not receive the same scale advantages from concentration.

(j)2 Cumulative causation is the self-reinforcing process through which economic activity becomes increasingly concentrated in particular regions.

Economies of scale encourage manufacturing firms to concentrate production.

Firms prefer locations near important markets and input suppliers because transportation is costly.

Manufacturing employment attracts workers, increasing the region's population, purchasing power, and available labour force.

The larger market and improved access to labour and suppliers make the region more attractive to additional firms.

New firms create further employment opportunities and attract more workers, reinforcing the original concentration of economic activity.

(j)3 Economies of scale within an individual firm occur when its average production cost declines as its own output increases.

External scale economies arise when the concentration of other firms in a region creates advantages for an individual firm.

For example, a large concentration of businesses can improve access to suppliers, customers, and suitable workers.

An individual firm can benefit from these regional advantages even without increasing its own production scale.

External scale economies are important because they make existing centres of economic activity more attractive to new businesses, encouraging additional clustering and urban development.

(j)4 A region may initially attract firms because of a historical accident or an advantage that is no longer important.

Once firms establish operations there, they attract workers, suppliers, and other related economic activities.

The growing concentration of economic activity creates external scale economies and increases the region's attractiveness to additional businesses.

This self-reinforcing process can allow the region to become an important manufacturing centre even when competing regions have similar underlying geographic or natural characteristics.

Consequently, current regional development patterns may depend substantially on historical location decisions.

(j)5 Economies of scale encourage firms to concentrate production because larger production volumes can reduce average costs.

Transportation costs encourage firms to locate near suppliers and consumers, while natural resource locations influence where particular forms of production can take place.

Labour mobility allows workers to move toward regions offering better employment opportunities, increasing both the workforce and consumer market in those regions.

The resulting concentration of firms, workers, suppliers, and purchasing power creates external scale economies that attract further economic activity.

Through cumulative causation, these forces can reinforce one another, producing large regional concentrations of economic activity rather than a uniform geographic distribution of firms and workers.