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This study examines the impact of institutional quality (INQ) and human capital creation (HCC) on economic growth (EG) linkage in Bangladesh using an ARDL approach.

This study uses time-series annual data over the period 1990–2019. It formulates an INQ index based on international country risk guide (ICRG) data, employs public education outlay and expenditure on health data each as a portion of real gross domestic product (GDP) to measure HCC, while an increase in real GDP is used as a proxy for EG. It employs the ARDL technique and Toda–Yamamoto (T-Y) causality check to realize the study.

The ARDL analysis divulges that the variables have a long-run association; INQ affects long-run EG positively; expenditure on health stimulates EG rate in the long run, but does not impact the latter in the short-run; whilst government spending on education impacts long-term EG rate negatively but positively in the short-term. The T-Y causality test results reveal a feedback relationship between INQ and EG, and one-way causation from health expenditure to EG rate, and education outlay to EG rate and authenticate the ARDL estimation results.

The study is original. The novelty of the study is to employ an INQ index using the ICRG data on 12 different components which are converted into a single index through principal component analysis.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2021-0732

The agriculture sector is crucial for all economies, especially the developing ones. However, agricultural production is influenced by government intervention, which outshines the significant role of good governance indicators in agricultural productivity. In addition to this, the major climate changes also posed various challenges and led to water shortages and yield losses. Thus affecting agricultural production. In this paper, we address the issue by determining the association between state governance and agricultural productivity in N-11 countries.

Panel data have been collected from 2000 to 2021 through the Governance Indicator, World Development Indicator and World Bank databases. For data analysis, the researcher has utilized the autoregressive distributed lag (ARDL) estimations.

Through ARDL estimations, it is suggested that corruption (CC), employment in agriculture (EAG), political stability and violence absence (PS), rule of law (RL), regulatory equality (RQ) and water quality (WQ) significantly impact agricultural productivity (AGP) in the long run. In the short run, the impact of RL on AGP has been significant.

This study follows the method of data collection from secondary sources, which hinders the effectiveness of this study as, on the basis of the respective data, the potential of the researcher to get specific answers to research questions has been affected. Also, this study examines the context of N-11 countries from 2000 to 2021, which exerts a geographical limitation. While exploring the association between state governance and agricultural productivity, this study neglects the internal aspects of implementing state policies in firms.

On practical grounds, the significant association demonstrated by this study encourages agricultural firms to keenly consider state policies to gain sustainable agricultural development. Moreover, this study encourages agricultural firms to efficiently follow governance policies for efficient productivity. The outcomes of the study have shown that agricultural employment and governance infrastructure can efficiently enhance agricultural productivity. Besides, as per the results, water quality also positively impacts agricultural productivity; thus, relevant steps can be taken by the agricultural sector to improve the quality of water.