Causal relationship between agricultural production and carbon dioxide emissions in selected emerging economies

Abstract

Continuous threat posed by climate change caused by carbon dioxide emission has reignited global advocacy to confront its negative ramification with the greatest possible firmness. Global food security and agriculture face major challenges under climate change as a result of the potential negative effect of production and implementation of sectoral action to limit global warming. Overall, agricultural greenhouse emissions continue to rise and the analysis of superior data on emissions from farming, livestock, and fisheries can help countries identify opportunities to contemporaneously reduce emissions and address their food security. This study seeks to contribute to the recent literature by examining the causal relationship between agriculture production and carbon dioxide emissions in selected emerging economies for the period 1971 to 2013. The study, therefore, disaggregated agriculture production into crop production index and livestock production index to explicate the distinct and to find individual variable contribution to carbon dioxide emissions. By using FMOLS and DOLS, empirical results indicate that 1% increase in economic growth, crop production index, and livestock production index will cause a proportional increase in carbon dioxide emission by 17%, 28%, and 28% correspondingly, while 1% increase in energy consumption and population improves the environment of emerging economies. The direction of causality among the variables was, accordingly, examined using PMG estimator. Potentially, for emerging countries to achieve Sustainable Development Goal of ensuring zero hunger for their citizenry requires the need to alter their farming production techniques and also adopt agricultural technology method, which is more environmentally friendly.

The Impact of Energy Consumption and Agricultural Production on Carbon Dioxide Emissions in Portugal

“…Source: author´s elaboration based on World Bank database (2018) In the long run, the variable of crop production index is statistically significant at 1% level with a negative effect on CO 2 emissions. However, in short-run (SR), the crop production index (LnCrop) indicates a positive impact on CO 2 emissions, this result was supported by previous studies such as Ullah et al (2018), Appiah et al (2018), Sarkodie and Owusu (2017). Furthermore, the crop production index appears to increase carbon dioxide emissions thus contributing to climate change.…”

“…In other words, climate change has become a global concern stimulating the interest of the academic community. Recent articles (Balogh and Jámbor, 2017;Hongdou et al, 2018;and Appiah et al, 2018) demonstrate that agricultural production is directly correlated with climate change. In this context, we present relevant empirical literature investigating the agriculture-specific factors (crop production, livestock production, and agricultural land) on environmental pollution.…”

Impact of foreign direct investment on greenhouse gas emissions in agriculture of developing countries

“…For example, in agriculture, livestock production has been shown to cause carbon dioxide emissions (Appiah et al . ), so redirection of additional investments from livestock production to other agricultural activities could potentially reduce greenhouse gases emissions, as tentatively suggested by some of the results in this research. Ecological performances of the multinational companies’ affiliates in host country can potentially be improved by advancing the environmental audit systems in developing countries, and improving the application of the existing environmental regulation and promoting corporate social responsibility.…”

Spatial-Temporal Characteristics of the Driving Factors of Agricultural Carbon Emissions: Empirical Evidence from Fujian, China

“…Moreover, the logarithmic mean Divisia index [28,29] and the variance decomposition approach [15] mainly apply the exponential decomposition method to study the main factors causing the change of agricultural carbon emissions. Furthermore, other scholars have applied some other novel methodologies, including the denitrification-decomposition models [30], the spatial econometric models [25] and the fully-modified ordinary least squares [31,32].…”