Faculty Publications
Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736
Publications by NITK Faculty
Browse
48 results
Search Results
Item Natural Capital and Climate Smart Agriculture: Measuring Progress towards Sustainability and Policy Making in India(Taylor and Francis, 2024) Jena, P.R.; Managi, S.; Majhi, R.India is the fastest growing and the world's third-largest economy in terms of GDP in PPP terms. Sustainable development of India will ensure the welfare of the inhabitants of this most populated country. This book assesses trends of natural capital and areas of improvement through climate resilient agricultural adaptation in India. The book looks at how the agricultural sector can become more climate resilient to ensure food security and human capital development. It also suggests a policy framework towards climate-resilient agricultural development. It outlines determinants of climate-smart agricultural practices and their impact on agricultural yield, biodiversity, and food security, and as well as outreach activities for wider collaboration from around the world. This book will interest those who are researching accounting natural capital impacts of climate-resilient agriculture and 2030 SDGs. © 2025 Pradyot Ranjan Jena, Shunsuke Managi, and Ritanjali Majhi. All rights reserved.Item Measuring climate change impact on crop yields in southern India: A panel regression approach(Springer Nature, 2023) Kalli, R.; Jena, P.R.The evidence of climate variability among developing countries has stressed agriculture sector. Promoting sustainable development will create an opportunity to enhance the rural livelihoods that are prone to frequent climate shocks. The present study estimates the climate change impact on three crop yields (Rice, Maize and Finger Millet) using fine scale climate dataset constructed at regional context for 20 districts over 21 years (1992-2012). Fixed effect panel regression method was used to examine change in crop yields to climate response. The results indicate consistently negative impact of temperature on crop yields. The regional dimension specified in the study suggested special attention for semi-arid and arid region as the magnitude of impact is significantly large. © The Author(s), 2023. All rights reserved.Item Classifying behavioural traits of small-scale farmers: Use of a novel artificial neural network (ANN) classifier(Institute of Electrical and Electronics Engineers Inc., 2016) Jena, P.R.; Majhi, R.This paper develops and employs a novel artificial neural network (ANN) model to study farmers' behaviour towards decision making on maize production in Kenya. The paper has compared the accuracy level of ANN based model and the statistical model and found out that the ANN model has achieved higher accuracy and efficiency. The findings from the study reveal that the farmers are mostly influenced by their demographic and food security for decision making. Further to examine the relative importance of different demographic and food security characteristics, an ANOVA test is undertaken. The results found that education and food security indices are instrumental in influencing farmers' decision making. © 2016 IEEE.Item A Review of the Green Climate Fund and Its Implications on Sustainable Development Goals for Developing Countries(Springer Science and Business Media Deutschland GmbH, 2025) Datta, K.; Jena, P.R.The Green Climate Fund (GCF), established within the United Nations Framework Convention on Climate Change (UNFCC), is a pivotal force in addressing climate change mitigation and adaptation. As climate change worsens into a worldwide disaster, the need to address its consequences gets more urgent. In response, the GCF emerges, as one of the primary climate finance mechanisms, providing a solid platform for mobilizing climate finance and facilitating transformative projects in developing nations to help them address climate-related concerns. Our systematic literature review rigorously examines the GCF’s global impact by delving into its organizational structure, funding mechanisms, and project efficacy. Employing the PRISMA methodology, we meticulously evaluate 39 peer-reviewed articles from Scopus. This review enriches the understanding of the GCF’s central role in global climate finance and sustainability, its contributions, and the challenges it faces. Our analysis reveals that the GCF demonstrates potential in balancing mitigation and adaptation through innovative approaches, including private sector engagement and equitable fund distribution. However, issues persist regarding adaptation finance accessibility for vulnerable states. To enhance effectiveness, we advocate for increased investment in decentralized, community-led solutions aligned with long-term development goals. A probable shortfall in meeting mitigation targets outlined in the Copenhagen Agreements, emphasizing the urgent need for increased financial resources. Diversifying funding sources and improving transparency are crucial for effective climate financing. This study provides vital insights to guide the GCF’s evolution and improve its efficacy in addressing climate change while advancing sustainable development globally. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.Item Sustainability Performance Assessment Framework for Major Seaports in India(International Information and Engineering Technology Association, 2022) Narasimha, P.T.; Jena, P.R.; Majhi, R.In performing seaport operations, triple bottom dimensions and its related key performance indicators play a significant role in improving overall aspects of seaport sustainability. This research paper intends to examine key seaport practices that form sustainable seaport development in the Indian major seaports context from stakeholder collaboration and seaport internal sustainable management decision framework. Firstly, the key practices of sustainable seaport development were examined through a broad literature review considering sustainable seaport development and related management and stakeholder-based theories. Sustainability thematic analysis is carried out based on the identification of various dimensions and key performance indicators from various literary works. Based on the theoretical framework seaport sustainability conceptual model was developed. Semi-structured interviews were conducted with 87 seaport professionals and FAHP was performed on an input basis by 23 seaport authorities to analyze the prominence of the proposed sustainable seaport development dimensions. This study also indicated that the economic dimension is the most important, while the social dimension is the least vital dimension perceived by Indian seaport managers. This research paper will conclude with a few policy insights for seaport managers in sustainable development decisions to discover areas for improvements in maritime sustainability and enhance the seaport competitiveness © 2022 WITPress. All rights reserved.Item A comprehensive review of the soil health status for enhancing agricultural sustainability(Frontiers Media SA, 2025) Timilsina, R.R.; Khosla, S.; Rahut, D.B.; Jena, P.R.; Sonobe, T.Sustainable agricultural practices have become more crucial than ever as the world grapples with food insecurity and environmental degradation. Soil health, a fundamental attribute of agricultural productivity and ecosystem stability, plays a pivotal role in achieving global sustainability targets. Despite its importance, comprehensive analyses of soil health initiatives remain limited. This systematic review addresses this gap through a dual objective: first, to contextualize the critical role of soil health in advancing the Sustainable Development Goals (SDGs); and second, to critically evaluate the implementation, impact, and policy relevance of India’s Soil Health Card (SHC) scheme launched in 2015 to enhance soil fertility through site-specific assessments and tailored fertilizer recommendations. Global research highlights the crucial role of soil health in promoting sustainable agriculture, and the SHC scheme has yielded notable results, including a 5%–6% increase in crop yields and an 8%–10% decrease in chemical fertilizer usage. Grounded in the framework of the SDGs, this paper highlights the SHC scheme’s contributions to enhancing farm productivity, lowering input costs, and advancing environmental objectives. It further explores the policy landscape, identifies institutional gaps, and examines the potential for scaling and adapting these practices in other regions. This review offers evidence-based insights into the interplay between soil health, agricultural sustainability, and policy innovation, aiming to inform future interventions and promote international collaborations in sustainable land management. © © 2025 Timilsina, Khosla, Rahut, Jena and Sonobe.Item Rural nonfarm employment, income, and inequality: Evidence from Bhutan(MIT Press Journals, 2015) Rahut, D.B.; Jena, P.R.; Ali, A.; Behera, B.; Chhetri, N.B.Using the 2012 Bhutan Living Standard Survey, this paper finds that rural nonfarmactivities comprise 60.7% of rural household income in Bhutan and this contribution increases with higher income and education levels. The poor and less educated participate less in the nonfarm sector.When they do, they are selfemployed in petty nonfarmactivities, which require little investment and little or no skills. Accounting for endogeneity and sample selection issues, we estimate the determinants of participation in nonfarm activities and nonfarm incomes. We find that a household’s education and labor supply play an important role in accessing more remunerative nonfarm employment. Interestingly, we find that women play an important role in self-employment in nonfarm activities. Decomposition shows that nonfarm income has a disequalizing effect and farm income has an equalizing effect, indicating the need to increase the endowment of poor households to enable them to access the lucrative rural nonfarm sector. Further decomposition reveals that self-employment in petty nonfarm activities reduces inequality. © 2015 Asian Development Bank and Asian Development Bank Institute.Item Development and performance evaluation of a novel knowledge guided artificial neural network (KGANN) model for exchange rate prediction(King Saud bin Abdulaziz University rectoroffice@ksu.edu.sa, 2015) Jena, P.R.; Majhi, R.; Majhi, B.This paper presents a new adaptive forecasting model using a knowledge guided artificial neural network (KGANN) structure for efficient prediction of exchange rate. The new structure has two parallel systems. The first system is a least mean square (LMS) trained adaptive linear combiner, whereas the second system employs an adaptive FLANN model to supplement the knowledge base with an objective to improve its performance value. The output of a trained LMS model is added to an adaptive FLANN model to provide a more accurate exchange rate compared to that predicted by either a simple LMS or a FLANN model. This finding has been demonstrated through an exhausting computer simulation study and using real life data. Thus the proposed KGANN is an efficient forecasting model for exchange rate prediction. © 2015 The Authors.Item Fair trade certification and livelihoods: A panel data analysis of coffee-growing households in India(Cambridge University Press arer@arec.umd.edu, 2016) Karki, S.K.; Jena, P.R.; Grote, U.This study analyzes the participation decision and income impacts of fair-trade coffee certification on small-scale coffee producers in the Araku valley in India using panel data for 183 households and endogenous-switching and quantile regression methods. The results show that fair trade certification has a positive effect on income; the income of certified farmers is 17 percent higher on average than the income of uncertified coffee producers. Furthermore, fair trade certification has a "bottom of the pyramid" effect in that the largest income gains accrue to farmers in the poorer quantiles. © The Author(s) 2016.Item Resource saving and productivity enhancing impacts of crop management innovation packages in Ethiopia(Blackwell Publishing Ltd customerservices@oxonblackwellpublishing.com, 2016) Jaleta, M.; Kassie, M.; Tesfaye, K.; Teklewold, T.; Jena, P.R.; Marenya, P.; Erenstein, O.Crop management innovations are often not discrete fixed stand-alone options—and their adoption may imply various combinations and adaptations. This potentially confounds their impact assessment. This article assesses the resource saving and productivity enhancing impacts of a crop management package revolving around minimum tillage in maize-based farming systems in northwest Ethiopia. An endogenous switching regression model was applied to plot- and household-level survey data collected from 290 rural households operating 590 maize plots during the 2012 production year. Controlling for variations in plot and household characteristics, the average effect of minimum tillage package (minimum tillage package) on maize productivity is 0.44 t/ha. Compared to conventional practice (CP), adoption of the MTP decreased the average male and female labor use in maize production by 14.4 and 8.2 person-days per ha, respectively. Similarly, MTP adoption decreased draft power use for land preparation by 13.2 pair of oxen-days per ha. Compared to CP, in general, there is a considerable short-run maize productivity gain and reduction in labor and draft power use under MTP. © 2016 International Association of Agricultural Economists