Business Networks and Performance: A Spatial Approach



Table 3. Marginal effects of independent variables on PMIR and PSE.

Independent Variables

PMIR

PSE

Marginal effect

t-value

Marginal effect

t-value

NETINPUT

50.69

5.14**

---

---

NETSALES

---

---

-44.44

-4.39**

NETFINAN

-9.68

-1.21

-1.40

-0.25

CONTINF

8.63

0.73

4.57

0.61

REGION

4.93

0.59

-8.33

-1.34

SECTOR

-14.10

-1.51

-4.90

-0.77

Note: Two asterisks indicate significance at the 5%.

A one percent increase in the use of locally produced inputs increases the probability
that the firm experienced increased employment by 1% and decreases the probability
that the firm experienced increased investments by 2%. Similarly, a one percent
increase in exported product, decreases the probability that the firm experienced
increased sales and/or increase in profit margins by 1%.

Table 4. Coefficient estimates of the logit models for PEREMP, PERTS, PERPM and
PERINV

Independent Variables

PEREMP

PERTS

PERPM

PEINV

Constant

-225

055

066

3.69

(-3.06)**

(0.99)

(1.18)

(3.23)**

PMIR

0.01

---

---

-0.02

(1.65)*

(-2.19)**

PSE

---

-0.01

-0.02

---

(-1.10)

(-1.64)*

REGION

-1.46

-1.95

-1.55

-3.69

(-2.58)**

(-4.08)**

(-3.46)**

(-4.79)**

... table 4 continued on next page

19



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