Content Details | NUML Online Research Repository

Title “Impact of Fiscal Measures on Agriculture Sector Productivity: Evaluating the Empirical Evidence From Pakistan”

Author(s) Ms. Maham Tahir

Abstract Fiscal interventions can play a vital role in transforming agriculture productivity in Pakistan. The key objective of the present study is to dynamically measure the influence of fiscal instruments on the agriculture sector productivity in Pakistan in both the long and short periods along with the cause-and-effect relationship for the period 1981 to 2020. To explore outcomes agriculture productivity is used as a dependent variable agriculture loan, agriculture subsidy, agriculture research, and agriculture infrastructure is taken as regressors of the model. Initially, the estimated empirical outcomes of the bound test extensively validate the presence of a strong long-run association between the variables taken under contemplation for the present study. Secondly, the estimates of the ARDL model displays that individually all the regressors in longer and shorter period positively influence the agriculture sector productivity in Pakistan. Meaning that a substantial boost in agriculture productivity can take place if fiscal measures of agriculture loan, agriculture subsidy, agriculture research, and agriculture infrastructure have been employed. Firstly, promote the farming sector by giving each farming family easy access to interest-free agriculture loans. Also, provide maximum subsidy to these farming families on basic agriculture products. Secondly, enhanced agriculture research and also develop agriculture infrastructure in such a way that the agriculture products loss can be minimized. Adoption of this policy straightens a strong path toward enhancing agricultural productivity in the developing economy of Pakistan. Keywords: Agriculture Productivity, Agriculture Loan, ARDL Model, and Agriculture Infrastructure JEL Classification: Q1, H8, C32, 010

Type Thesis/Dissertation

Faculty Management Sciences

Department Economics

Language English

Publication Date 2023-07-12

Subject

Publisher

Contributor(s)

Format

Identifier

Source

Relation

Coverage

Rights