<p>In recent years, environmental degradation has emerged as&#xa0;a prominent issue worldwide and gained the attention of environmentalists due to its long-term detrimental impacts on agricultural output, food availability, water supply, and earnings. The current study aims&#xa0;to examine the&#xa0;dynamic asymmetrical relationship between technology innovations (TI), carbon dioxide (CO<sub>2</sub>) emissions, human capital, renewable energy, natural resources, and farm productivity in India. Using time-series data spanning from 1991 to 2021, this study used the non-linear autoregressive distributed (NARDL) model. The findings of the&#xa0;NARDL model reveal that CO<sub>2</sub> emissions and natural resources have negative and significant effects on farm productivity in India in the&#xa0;long and short run. The positive and negative shocks in human capital and Technological Innovations have positive and significant impacts on farm productivity in the&#xa0;long and short run. Wald test conforms to&#xa0;the asymmetrical association between predictors and outcome variables. Based on the empirical analysis, some critical policy suggestions emerged. Moving toward sustainable farm productivity in India, there is a pressing need to improve environmental quality, provide skills to labor, and&#xa0;disseminate information among the farmers regarding climate-resilient seed varieties to cope with climate change.</p>

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Can technological innovations be a boon for Indian agriculture? Exploring its asymmetric impact on farm productivity

  • Arvind Kumar Yadav,
  • Mohd Arshad Ansari

摘要

In recent years, environmental degradation has emerged as a prominent issue worldwide and gained the attention of environmentalists due to its long-term detrimental impacts on agricultural output, food availability, water supply, and earnings. The current study aims to examine the dynamic asymmetrical relationship between technology innovations (TI), carbon dioxide (CO2) emissions, human capital, renewable energy, natural resources, and farm productivity in India. Using time-series data spanning from 1991 to 2021, this study used the non-linear autoregressive distributed (NARDL) model. The findings of the NARDL model reveal that CO2 emissions and natural resources have negative and significant effects on farm productivity in India in the long and short run. The positive and negative shocks in human capital and Technological Innovations have positive and significant impacts on farm productivity in the long and short run. Wald test conforms to the asymmetrical association between predictors and outcome variables. Based on the empirical analysis, some critical policy suggestions emerged. Moving toward sustainable farm productivity in India, there is a pressing need to improve environmental quality, provide skills to labor, and disseminate information among the farmers regarding climate-resilient seed varieties to cope with climate change.