Export Potential of Climate Smart Goods in India: Evidence from the Poisson Pseudo Maximum Likelihood Estimator

2021 ◽  
pp. 1-21
Author(s):  
Pushp Kumar ◽  
Naresh Chandra Sahu ◽  
Mohd Arshad Ansari
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimator ◽  
Likelihood Estimator ◽  
Pseudo Maximum Likelihood

The dual trade impact of non-tariff measures: an empirical assessment of China’s pork imports

2020 ◽  
Vol 47 (5) ◽  
pp. 1716-1739
Author(s):  
Jurgen Peci ◽  
Ana Isabel Sanjuán
Keyword(s):  
Maximum Likelihood ◽  
Empirical Evidence ◽  
Maximum Likelihood Estimator ◽  
Upper Bound ◽  
Bilateral Trade ◽  
Maximum Level ◽  
Gravity Equation ◽  
Likelihood Estimator ◽  
Empirical Assessment ◽  
Pseudo Maximum Likelihood

Abstract Theoretical arguments and empirical evidence suggest that non-tariff measures (NTMs) generate a mixture of trade effects. Using the maximum level of disaggregation provided by the UNCTAD NTMs database (four-digit), and focusing on those measures applied by China in its pork trade, a gravity equation is estimated with the poisson pseudo maximum likelihood estimator. Results confirm both restricting and promoting effects that higher levels of NTM aggregation mask. Compared to the average tariff applied by main importers (9 per cent) and China (14 per cent), the most restrictive NTMs are more stringent, with ad-valorem equivalents between 15 and 33 per cent. Simulations illustrate the upper bound bilateral trade gain from NTM removal and the resulting repercussions for China’s pork import shares.

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