THE IMPACT OF LOCATION ON FIRM PRODUCTIVITY IN MOROCCAN MANUFACTURING

1. THE IMPACT OF LOCATION ON FIRM PRODUCTIVITY IN MOROCCAN MANUFACTURING Fraser Thompson (Oxford University) and Taye Mengistae (World Bank)

2. THE BIG QUESTION • Explaining the regional variation in economic performance across the globe.

3. WHAT ARE THE ALTERNATIVE EXPLANATIONS? • Natural geography • Time-invariant effects of the local environment on firm performance (e.g. a region’s proneness to drought, transport costs, etc) • McNeill (1991); Diamond (1997); Gallup Sachs & Mellinger (2000). • Agglomeration Externalities • The benefits that firms extract from the local industrial structure, thought of in terms of the levels of competition, specialization and industrial diversity. • Jacobs (1969) • Institutions • The accumulated effect of the local business environment on firm performance, including regulation, infrastructure and the provision of key inputs (e.g. finance, skilled labour) • North, Summerhill & Weingast (2000); Knack & Keefer (1995); Hall & Jones (1999)

4. WEAKNESSES WITH THE EXISTING EMPIRICAL EVIDENCE? • Measurement error in evaluating institutional quality • Overly qualitative • Overly broad (e.g. index of anti-diversion policies) • Lack of policy implications • Small sample size leading to non-robust results • Lack of sufficient countries to pool in sample leads to a small number of observations and non-robust results. • Furthermore, country-level aggregation can obscure important firm-level effects (Manski, 1995). • Lack of sub-national focus • Using national-level data assumes that these location factors are constant within countries, which seems unlikely.

5. OUR FOCUS • Using Moroccan firm-level data, we identify and estimate the influences of geography, agglomeration externalities and institutions on firm productivity.

6. OUR CONTRIBUTION • More refined measures of institutions and agglomeration externalities • First simultaneous test of their respective influences on firm productivity • Policy-relevant evidence for a country at a critical juncture (e.g. Association Agreement with the EU and FTA with US) • Improvements to existing empirical methodology • Productivity Estimates • Location Endogeneity

7. TWO SOURCES OF DATA • Census of Manufacturers (1994-2001) • Contains the following data: sales, production, export, investment, sector, number of permanent and temporary workers, year of establishment, legal status and location. • Investment Climate Assessment (2003) • Detailed business environment information for firms in six locations: Grand Casablanca; Tanger-Tetouan; Rabat; Fes; Settat; and Nador. • Only available for 2003, but we assume that the investment climate is fixed in the short-term (2001-2003).

8. AGGLOMERATION EXTERNALITIES

9. THREE THEORIES EXIST FOR HOW INDUSTRIAL STRUCTURE AFFECTS FIRM PERFORMANCE

10. AGGLOMERATION EXTERNALITY VARIABLES • Total workers in location-sector (specialisation) • Total workers in location (diversity) • Diversity HHI using sector employment shares • Number of firms in the location-sector • Firm Market Share • Competition HHI

11. GEOGRAPHY

12. GEOGRAPHY • Province-level dummy variables • 66 provinces in entire country • We have investment climate data for 21 provinces

13. INSTITUTIONS

14. 4 CRITERIA FOR SELECTING INSTITUTIONAL VARIABLES • Important Constraints on Firm Performance • Exhibit Regional Variation • Not vague or imprecise • Capture all aspects of the investment climate

15. PERCENTAGE OF FIRMS WHO CONSIDER CONSTRAINT TO BE “MAJOR” OR VERY “SEVERE”

16. “Perception” Measures Electricity Telecommunications Transport Corruption Tax Administration Skill Shortages Legal System Access to Credit “Quantitative” Measures Financial Delay (months) Construction Permit Delay (days) Time per week dealing with bureaucracy (%) Generator (1 if yes) Discount on total sales from transport delays (%) Delay in filling technical vacancy (days) Workforce with less than primary education (%) INSTITUTIONAL VARIABLES

17. REGIONAL VARIATION IN “PERCEPTION” INDICATORS

18. REGIONAL VARIATION IN “HARD” INDICATORS

19. ENSURING CONSISTENT ESTIMATES FOR INVESTMENT CLIMATE VARIABLES • This analysis assumes that the investment climate indicators are exogenous determinants of firm performance. • However, the performance of firms may actually influence their investment climate constraints. • E.G. High-performing firms (possibly engaged in a leading technology field) are more likely to experience difficulties in finding suitably qualified employees. • Solution: use averages of the investment climate data across firms in a given location-sector. • This reverse-causality is likely to be mitigated to the extent that individual firm performance is unable to influence regional averages of these investment climate indicators. • Not only does this ease the endogeneity problem, it also substantially increases the sample size by including firms which do not have investment climate information, but which are located in the same location-sector for firms which we do have information available.

20. SECTOR TFP ESTIMATES

21. SIGNIFICANT VARIABLES (“PERCEPTION” INDICATORS) • Location Fixed Effects: • Positive: Mohammedia; Nador; Nouaceur; Rabat; Settat; Skhirate-Temara. • Negative: Khemisset; Moulay Jacoub. • Agglomeration Externalities: • Positive: Market Share and Number of Firms in Location-Sector • Business Environment: • Positive: Electricity (endogenous???) • Negative: Telecommunications; Tax Administration; Legal System; Access to Credit.

22. SIGNIFICANT VARIABLES (“QUANTITATIVE INDICATORS”) • Location Fixed Effects: • Positive: Fes; Mohammedia; Nador; Sale; Skhirate-Temara; Tanger-Assilah. • Negative: Ben Slimane; • Agglomeration Externalities: • Positive: Market Share and Number of Firms in Location-Sector • Business Environment: • Negative: Financial Delay; Construction Permit; Time Per Week; Discount on Sales from Transport Delays; Delay in filling technical vacancies; Workforce with less than primary education.

23. OTHER RESULTS • The location effects appear generally more cogent for limited liability firms than for corporations. • The effect of the local business environment also appears to be generally stronger for non-exporters compared to exporters. However technical skill vacancies appear particularly crippling for exporters, which is possibly reflective of the higher skill demands of exporters.

24. LOCATION EFFECTS ON TFP (FOOD, TOBACCO & BEVERAGES)

25. LOCATION EFFECTS ON TFP (APPAREL, LEATHER & FOOTWEAR)

26. LOCATION EFFECTS ON TFP (CHEMICALS, RUBBER & PLASTICS)

27. CONCLUSION / POLICY IMPLICATIONS • The paper supports many previous arguments of the predominant importance of institutions and business environment constraints over other location effects in influencing firm performance. • If the location fixed effects can be considered the relative intransient impacts on firm productivity, then the small size of these effects compared to those arising from the business environment suggest that historical obstacles can be overcome through appropriate policy responses.