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The study aims to find the synchronization between foreign agriculture investment (FAI) and Sustainable Development Goals (SDGs) related to agriculture as classified by the Food and Agriculture Organization (FAO). The study tries to find such an association in India over 2 decades from 2001.

The Toda-Yamamoto Granger using the M-Wald test for the non-causality procedure is applied to find the synchronization. Stationarity is tested using the Augmented Dickey-Fuller, Phillips-Perron and Kwiatkowski, Phillips, Schmidt and Shin (KPSS) tests. The Johanson methodology with MacKinnon-Haug-Michelis P-value is employed for the Cointegration test.

The empirical results indicate that the FAI Granger cause SDG2 “Zero hunger” and “Overall sustainability”, but SDG13 “Climate Change”, SDG6 “Clean water and sanitation”, SDG12 “Responsible production and consumption” and SDG15 “Life on Land” granger cause global investments. Notwithstanding, SDG5 “Gender equality” and SDG14 “Life below water” found no-way causality with FAI.

Host governments should prioritize sector-level sustainable development, notably agricultural SDGs, to attract global investments. Foreign agriculture investment is influenced differently by various SDGs; thus, policymakers should concentrate on specific agricultural SDGs to enhance the flow of capital into the agriculture sector. Global investors should take sustainability into account while framing foreign investment plans, and the supra-national organization may consider global agricultural investments while addressing the problems related to global food security.

The distinguishing feature of the study is that SDGs classified by the FAO from a global investment perspective have not been studied so far.

This research uses contingency theory and Venkatraman’s concept of moderating fit to explore how key project stakeholders (clients, consultants and suppliers) influence project performance from the perspective of small and medium contractors in the Jordanian construction industry.

An anonymous structured survey was performed comprising 200 key informants including senior project managers, construction managers, engineers and general managers working for small- and medium-sized contractors in the Jordanian construction industry. The Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to analyse the data.

The results of this study show that consultant-related factors (quality of documentation produced, ability to communicate and technical competencies) are perceived to have the most significant direct effect on project performance, followed by client-related factors (payment promptness, decision certainty and documentation control) and supplier-related factors (supplier performance, defects control and logistics management).

The results contribute new theoretical, empirical and practical insights to existing construction project performance research by highlighting the key performance factors which need to be managed for each stakeholder group to ensure effective project performance from a small- and medium-sized contractor perspective.

This study examines the impact of various macroeconomic, financial and institutional factors, including foreign direct investment (FDI), financial development (FD), freedom dimensions and institutional sub-systems on CO2 emissions across 30 countries over 23 years (2002–2023). The research aims to uncover both the short-term and long-term effects of these variables on environmental sustainability.

A Pooled Mean Group – Autoregressive Distributed Lag (PMG-ARDL) model is employed to analyze panel data from 30 countries over the period 2002–2023. The model was selected using the Akaike Information Criterion (AIC) to account for both long-term and short-term dynamics in the relationship between the studied variables and CO2 emissions.

The results reveal that in the long term, most variables, including FDI, financial development and economic freedom, have significant impacts on CO2 emissions, with varying directions. In contrast, short-term effects are largely insignificant, indicating that the environmental impacts of economic and institutional factors are more pronounced over extended periods.

The findings suggest that policymakers need to consider the long-term environmental consequences of economic and financial policies. For instance, while financial development and economic freedom may drive growth, they also contribute to higher CO2 emissions, necessitating a comprehensive and inclusive approach to sustainable development.

This study provides a comprehensive analysis of the interplay between financial, institutional and freedom dynamics and their impact on CO2 emissions, offering valuable insights for policymakers focused on achieving sustainable economic development. Using the PMG-ARDL model adds robustness to the findings by capturing both short-term and long-term effects.