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This paper reviews the long-term impact of public investments on irrigation and agricultural research and development along with other control variables, including physical capital, irrigated area, fertilizer consumption, level of mechanization, and CO2 emissions on China's agricultural output from 1986 to 2017. This study applied various econometric methods such as the ARDL bound-testing approach and Johansen co-integration procedure to determine the long-term co-integrating connection amid the variables. The empirical outcomes from the ARDL bound-testing method confirm a long-term co-integrating connection among the variables. The long-run results demonstrated that public investment in agricultural research and development and irrigation have a substantial positive effect on agricultural productivity. Furthermore, results revealed that physical capital and fertilizer consumption also have a significant positive effect on agricultural output; however, CO2 emissions have a substantial negative effect on agricultural production. These findings therefore suggest that the policy makers of China should initiate more effective policies to increase irrigation and agricultural research and development investments. Increasing irrigation and agricultural research and development investments will enhance agricultural productivity by ensuring food security in the country. [ABSTRACT FROM AUTHOR]

The current study examines the effect of global climate change (CO 2 emissions), financial development, and technical progress (fertilizer consumption and improved seed distribution) on cereal production in Pakistan over the 1977–2014 period. The study undertakes the autoregressive distributed lag (ARDL) bounds testing approach to investigate the long-term interrelation among the variables. The outcomes of the ARDL bounds-testing approach confirmed the presence of a long-term relationship among the variables. Empirical results revealed that CO 2 emissions have a negative impact on cereal production in the short-run and long-run. It means that increase in global climate change will decrease cereal production. Findings further showed that financial development has a positive impact on cereal production in both cases. It suggests that increasing financial development will enhance cereal production, which will ensure the country's food security. In addition, technical progress has a significantly positive impact on cereal production in both cases. The dynamic OLS, fully modified OLS, and the canonical cointegrating regression estimators confirmed the robustness of the findings. Financial development is essential for sustainable agriculture production; therefore, policymakers should devise a comprehensive agriculture policy that addresses the financial needs of the agriculture sector and attracts investment. The financial institutions may use carbon financing as a tool to intervene in the financial market to generate funds for the application of cleaner production principles and the use of best practices for agriculture development and sustainable production. Image 1 • We examined the impact of financial development, climate change, and technical progress on cereal production. • The ARDL approach is employed to explore the long-run relationship among the variables. • Findings reveal that financial development improves cereal production in both long-run and short-run. • CO 2 emissions have adverse impact on cereal production in both cases. • Technical progress will leads to increase cereal production in both long-run and short-run. [ABSTRACT FROM AUTHOR]

This study attempts to investigate the short-run and long-run impact of formal credit (CR) and climate change (CC, via CO2 emissions) on agricultural production (AP) in Pakistan. In addition, other imperative control variables included in this study comprise technology factors (tractors (TRs) and tube wells (TWs), energy consumption (EC), and labor force (LF). This study used annual data covering the period 1983–2016. The autoregressive distributed lag (ARDL) approach is applied to explore the cointegration between the underlying variables and used the granger causality test under the vector error correction model (VECM) context to determine the direction of causality among the variables. The findings of the ARDL bounds-testing approach suggest that there is a long-term relationship among formal credit, climate change (CO2 emissions), technology factors (tractors and tube wells), energy consumption, labor force, and agricultural production. The empirical results reveal that formal credit, technology use (tractors), and labor force have a positive and significant impact on agricultural production in both the short-run and long-run. CO2 emissions have a positive impact on agricultural production but are not significant in either case. Finally, a unidirectional relationship is established from formal credit to agricultural production; labor force to agricultural production; and electricity consumption and technology factors (tractors and tube wells) to CO2 emissions. The recent study claims that formal institutions should guarantee the redeployment of their services/amenities to those who call for them acutely, with the purpose of boosting their approach to monetary credit facilities and empower farmers to further the resilience that will capitalize on post-fruitage enrichments. Finally, considering that climatic change is a widespread fact with regional community trajectories, perhaps the global community may provide reassurance for loaning to smallholder agriculturalists through central and commercial banks by protecting the moneys that banks lend to the agriculturalists towards supporting climatic change espousal strategies. [ABSTRACT FROM AUTHOR]