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Table 3 Coefficient estimates and marginal effects of the Poisson regression model

From: Socio-economic factors influencing the adoption of low carbon technologies under rice production systems in China

Variable

Coefficient estimates

Marginal effects

Coef.

Std. error

Coef.

Std. error

Dependent variable: (number of LCTs adopted)

 Farmer and household characteristics

  Gender

0.0848

0.0720

0.2110

0.1787

  Age

− 0.0180

0.0053c

− 0.0448

0.0131c

  Education

0.0566

0.0175c

0.1409

0.0186c

  Experience

0.0075

0.0055

0.0187

0.0137

  Household size

0.0705

0.0396a

0.1754

0.0988a

Farmer behavior

 Climate change awareness

0.1109

0.0500b

0.2760

0.1250b

 Low carbon agriculture awareness

0.0868

0.0306b

0.2161

0.0758b

 Risk aversion

− 0.0264

0.0157a

− 0.0657

0.0391a

Field characteristics

 Farm income ratio

− 0.0327

0.0309

− 0.0814

0.0769

 Farm size

− 0.0009

0.0127

− 0.0023

0.0317

 Machinery ownership

0.0505

0.0160c

0.1258

0.0442c

 Soil fertility deficiency

− 0.0398

0.0227a

− 0.0991

0.0567a

 Sufficient water irrigation

0.0672

0.0465

0.1671

0.1153

External environment

 Credit access

0.0184

0.0058c

0.0459

0.0137c

 Technical support

0.0590

0.0187c

0.1467

0.0414c

 Subsidies

0.0110

0.0033c

0.0274

0.0075c

 Constant

1.5385

0.4032c

  

 Log likelihood

− 829.021

   

 Prob. > chi2

0.00001

   

 Pseudo R2

0.1419

   
  1. Significant level of 10% (a), 5% (b) and 1% (c)