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All over the world, waste and its disposal are becoming a more prominent issue, as landfills swell up and growing evidence points to its contribution to climate change and environmental degradation. In the developing world, waste pickers sort through solid waste and sell it to vendors, who will recycle the product into something consumable. The work they do is vital to climate change mitigation, as well as urban cleanliness. In a way, waste pickers, especially in India, are vehicles of environmental justice, but they are often discriminated against and subjected to inhumane working conditions. In this environment, the pandemic hit, making waste pickers' already precarious life even worse. This paper attempts to fill the gap in the academic literature by compiling a systemized literature review of the impacts of COVID-19 on waste-pickers' lives using an environmental justice perspective. The review also uses a Feminist Political Ecology perspective to illuminate the double jeopardy that female waste pickers face in the era of COVID-19, which academia often ignores. Ultimately, this paper shows that COVID-19 exacerbated the preexisting injustices that the waste picker community face and created an immense burden on women. This paper will show that it is important to notice the differentiation between female and male waste picker challenges, especially at the crux of the COVID-19 pandemic. This paper has important policy implications as well as research considerations for both environmental justice and feminist political ecology scholars. [ABSTRACT FROM AUTHOR]

Is it in the interest of a developing country to promote strong local linkages for domestic industries or to participate in global value chains (GVCs) wherein linkages are globally dispersed? This paper informs this debate by empirically analyzing which one of these strategies would result in higher levels of domestic value added (DVA) and employment in India. Using a unique panel data on DVA and jobs tied to Indian exports from 112 sectors for the period 1999–2000 to 2012–2013, we show that greater backward GVC participation—use of imported inputs to produce for exports—leads to higher absolute levels of gross exports, DVA and employment. This result implies that labor abundant countries can reap dividends by adopting policies aimed at strengthening their backward participation in GVCs. Our findings are robust to various estimation techniques and instrumental variable approaches to address potential endogeneity concerns. [ABSTRACT FROM AUTHOR]

Nutrition-sensitive agriculture (NSA) has emerged as a major development paradigm that works to diversify crops and diets throughout the Global South in order to improve nutritional outcomes. Drawing on a conceptual framework from political ecologies of health that looks at political economic factors, social discourse, and embodied, material experiences of food, I analyze qualitative and ethnographic data from an integrated NSA intervention in Madhya Pradesh and Jharkhand, India. The analysis shows that while embodied experiences of differing rice varieties (either indigenous or improved) were central to research participants' conceptions of bodily health, mainstream NSA metrics had trouble 'seeing' these relations in meaningful ways. Moreover, although material experiences of rice cultivation and consumption anchored participants' rice preferences, structural economic realities along with notions of social identity were always interwoven. Yet, while villagers expressed divergent perceptions around how the different rice cultivars shaped their bodily health, agricultural officers tended to view rice experiences as a product of culture, rather than as material and socio-ecological food-body interactions. In sum, this paper argues more deeply engaging with the political economic, socially symbolic, and embodied ways that communities relate to food production and consumption would allow NSA research to develop more grounded and inclusive understandings of agriculture-nutrition linkages. [ABSTRACT FROM AUTHOR]

The current discourse on urbanization calls for new approaches to capture the peculiarities of growth in the global South. This paper takes the National Capital Territory of Delhi as a case study and adopts a mix of methods (field survey, ordinary least squares regression and geographically weighted regression) to highlight the emerging gradient of urbanization within official rural areas. The results show a certain catching-up effect in which the settlements with low population and employment rate grow faster than more urbanized settlements. Settlements with low basic infrastructure provision (such as schools and medical facilities), which are mainly census towns, tend to grow more slowly than villages with better infrastructure provision. Additionally, local characteristics of growth vary spatially depending on the distribution of socio-economic, demographic, and infrastructure variables. To avoid the unplanned transformation of villages into urban areas in Delhi and similar regions of the global South, this paper recommends moving from master planning towards strategic spatial planning, implementing integrated planning and governance of non-municipal peri-urban areas, and reforming spatial plans and development policies based on scientific methods. [ABSTRACT FROM AUTHOR]

In instances where the "youth bulge" in developing nations is aggravating the unemployment crisis and contributing to a detrimental cycle of events, inclusive growth (IG) has emerged as a cutting-edge development model. The academic interest in inclusive growth and unemployment-related research is plentiful, but the exclusive search into youth employment for inclusive growth is sparse. Based on a conceptual framework that offers an overview of the topic, this paper examines studies on youth unemployment concerning inclusive growth. It specifically explores the concept of inclusive growth, the financial and socio-psychological aspects of youth unemployment, and ways of tackling unemployment, such as youth entrepreneurship and skill development in pursuit of inclusive growth. By addressing these challenges, the assessment reveals ways to achieve SDGs such as SDG 8 (decent work and economic growth) and SDG 10 (reduced disparities). The relevant literature was extracted using qualitative content analysis and recursive content abstraction approaches. The study adds to the multidisciplinary literature on youth studies, entrepreneurship, and development economics. This study summarises the current level of knowledge on these topics, identifies research gaps, and offers interesting future research directions that will benefit academics and practitioners. [ABSTRACT FROM AUTHOR]

This paper provides large scale evidence on the determinants of international competitiveness of Indian manufacturing firms, focusing in particular on the role of technology, costs and imported intermediate inputs. Our evidence suggests that innovation, in particular R&D investment, is positively related to both firms' probability to export and firms' export volumes. We also find that imported intermediate inputs, incorporating foreign technology is strongly associated with expanding export activities of firms. Finally, and in contrast to much of previous evidence on developed economies, we find that higher productivity or lower unit labour costs are not systematically associated with the probability to enter export markets, but they are positively related to higher export volumes. Overall our results point to the existence of a pattern of involvement in international trade for firms in developing countries that is not relying as a main driver on cost competitiveness. [ABSTRACT FROM AUTHOR]

Ratio-based prevalence and absolute headcounts are the two most commonly accepted metrics to measure the burden of various socioeconomic phenomenon. However, ratio-based prevalence, calculated as the number of cases with certain conditions relative to the total population, is by far the most widely used to rank burden and consequently for targeting, across different populations, often defined in terms of geographical areas. In this regard, targeting areas exclusively based on prevalence-based metric poses certain fundamental difficulties with some serious policy implications. Drawing the data from the National Family Health Survey 2015–2016, and Census 2011, this paper takes four indicators of child undernutrition in India as an example to examine two contextual questions: first, does the choice of metric matter for targeting areas for reducing child undernutrition in India? and second; which metric should be used to facilitate comparisons and targeting across variable populations? Our findings suggest a moderate correlation between prevalence estimates and absolute headcounts implying that choice of metric does matter when targeting child undernutrition. Huge variations were observed between prevalence-based and absolute count-based ranking of the districts. In fact, in various cases, districts with the highest absolute number of undernourished children were ranked as relatively lower-burden districts based on prevalence. A simple comparison between the two approaches—when applied to targeting undernourished children in India—indicates that prevalence-based prioritization may miss high-burden areas where substantially higher number of undernourished children are concentrated. For developing populous countries like India, which is already grappling with high levels of maternal and child malnutrition and poor health infrastructure along with intrinsic socioeconomic inequalities, it is critical to adopt an appropriate metric for effective targeting and prioritization. [ABSTRACT FROM AUTHOR]

Hundred years from the Bolshevik Revolution that shook the world, workers around the globe are facing new challenges. Throughout a long stretch of the global South, job creation is sluggish, real wages are stagnant, and working conditions are getting harsher and there is a growing disjoint between work and wealth. Against this backdrop, in this paper we flag the employment challenges facing India at present. Using a novel 4-quadrant compartmentalisation, we observe that the three major challenges are—absolute lack of employment opportunities; chronic unemployment and intermittent employment; and substantial underemployment and loss of person days. Two further related challenges are low returns from work and skill mismatch. All these markers have worsened in the last decade which also witnessed massive job loss for casual workers. This is perhaps a natural sequel to the economic boom built on mass casualisation of workforce over the previous two decades. At first sight of slowdown, the axe has fallen on these casual workers. Mismatch between sectoral shares in output and employment also causes wage disparity and aggravates inequality. With production increasingly set to become machine and AI driven, labour redundancy and skill mismatch is expected to worsen in coming years. We must press for a separate employment–incomes policy rather than continue with the false hope that economic growth will solve the employment conundrum. [ABSTRACT FROM AUTHOR]

(Global) value chains have contributed to agricultural technology adoption in transition countries and food export commodities in developing countries through various forms of vertical coordination, often associated with FDI. Adoption of modern technologies in agriculture is crucial for improving the productivity and welfare of poor farmers. Much less is known about how (global) value chains do (not) affect technology transfer and/or adoption in staple food chains in developing countries, and the role that FDI plays. Our paper analyses the role of value chains and FDI in farm-level technology adoption with the use of panel data from representative farm surveys in 2008 and 2015 (a period of rapid growth) in the dairy sector in India (Punjab). We find important increases in the adoption of some technologies among traditional and poor dairy farms. However, the role of vertical coordination in value chains in stimulating technology adoption among these traditional dairy farmers seems to be minor, both for domestic and for FDI companies. At the same time a sub-sector of dynamic modern dairy farms has emerged. These farms are much larger, use only modern technology, and are fully integrated in vertically coordinated value chains that support these modern farms' management and investments. [ABSTRACT FROM AUTHOR]

Historical experience suggests that a sustained rise in per capita incomes and improvement in employment conditions is not attainable without a structural transformation that moves surplus labour from agriculture and other informal economic activities to higher productivity activities in the non-farm economy. In this paper, I analyse India's performance from a cross-country comparative perspective, estimating the growth semi-elasticity of structural change. Using a cross-country panel regression, I estimate the effectiveness of growth in moving workers away from agricultural and informal activities as compared to other developing countries at similar levels of per capita income. I show that the performance in pulling workers out of agriculture is as expected given its level and growth of GDP per capita, but the same is not true for pulling workers out of the informal sector. I also propose the following five indicators that need to be kept track of when evaluating the growth process: the growth elasticity of employment, the growth semi-elasticity of structural change, the growth of labour productivity in the subsistence sector, the share of the organised sector in total employment and the workforce participation rate. Comparing these indicators across periods, states, regions or countries, allows us to understand which sets of policies have worked better than others to effective improvements in employment conditions. And taken together the indicators allow us to set structural change targets as well as to say whether the current pattern of growth is going to be sufficient to meet those targets. [ABSTRACT FROM AUTHOR]

The Green Revolution is often seen as epitomising the dawn of scientific and technological advancement and modernity in the agricultural sector across developing countries, a process that unfolded from the 1940s through to the 1980s. Despite the time that has elapsed, this episode of the past continues to resonate today, and still shapes the institutions and practices of agricultural science and technology. In Brazil, China, and India, narratives of science-led agricultural transformations portray that period in glorifying terms—entailing pressing national imperatives, unprecedented achievements, and heroic individuals or organizations. These "epic narratives" draw on the past to produce meaning and empower the actors that deploy them. Epic narratives are reproduced over time and perpetuate a conviction about the heroic power of science and technology in agricultural development. By crafting history and cultivating a sense of scientific nationalism, exceptionalism, and heritage, these epic narratives sustain power-knowledge relations in agricultural science and technology, which are underpinned by a hegemonic modernization paradigm. Unravelling the processes of assemblage and reproduction of epic narratives helps us make sense of how science and technology actors draw on their subjective representations of the past to assert their position in the field at present. This includes making claims about their credentials to envision and deliver sustainable solutions for agriculture into the future. [ABSTRACT FROM AUTHOR]

Emerging economies face a plethora of social, economic and environmental issues. On the one hand, these have adverse effects that negatively impact the overall development of such economies; and on the other, they offer challenges which when addressed, help these economies to chart a course of integrated and inclusive growth, thus providing them with an opportunity for national development. India is no different. It has rural Bharat on one side that is steeped in illiteracy, poverty on the one hand and, a literate, rich, glitzy, corporate, urban India on the other; thereby fortifying the predicaments of an emerging nation. This paper, through an analysis of the socio-economic dilemmas and challenges of an emerging nation like that of India and scrutinizing the roles and responsibilities of Corporations to combat such a quandary through CSR, introduces the 'Chatterjee Model,' that urges, from a policy-maker's point of view, that CSR should contribute to the national agenda of a country, helping it to accelerate its transition from an emerging to a developed nation. [ABSTRACT FROM AUTHOR]

India passed the Geographical Indications of Goods (Registration & Protection) Act, 1999 in compliance with the Trade Related Aspects of Intellectual Property Rights (TRIPs) Agreement under the World Trade Organisation (WTO) Agreements which concluded in 1995. Article 22 of the TRIPs Agreement defines Geographical Indication as 'the indications which identify a good as originating in the territory of a Member, or a region or locality in that territory, where a given quality, reputation or other characteristic of the good is essentially attributable to its geographical origin'. Many developing countries like India has enacted legislation for greater and stronger protection of GI in order to uplift the economic condition of the poor people those who contribute to many key products of export. Since the Act has been passed 15 years back and India registered its first GI, Darjeeling tea in 2004, the total registrations now have reached to 227 in number. The present paper re-examines the challenges ahead in implementation of the Act and to suggest further amendments to the Act for better protection to Indian indigenous knowledge and reputation of products originating from India. It also tries to identify what is further required to reap the benefits of registration and problematic areas like who can be a right applicant of a GI application, Part-B registration of beneficiaries, marketing of GI products, maintaining quality of the product and counterfeiting and enforcement mechanism. It is argued that India requires a coordinated effort of Central and State Governments, proprietors of GI and beneficiaries to protect and promote Indian GIs in future. [ABSTRACT FROM AUTHOR]

Majority of global biodiversity databases lack sufficient coverage from the developing world and thus severely limiting their worldwide applicability. Bridging these knowledge gaps in global databases merits urgent research priority in biodiversity science. Here, we present Trees of India (ToI), Version-I, a comprehensive database assembled from an extensive literature synthesis of 313 studies published from 1872 to 2022. Based on the ToI database, we aimed to investigate the patterns of diversity, distribution, endemic and threat status of the tree flora of India. We recorded 3708 tree species across India, which raises the number by more than one-third (1199 species) previously reported for this mega-biodiverse country in GlobalTreeSearch (GTS). We found 93 species erroneously included for India as tree lifeform in the GTS. The distribution of the tree flora considerably varied across the states in India, with southern and eastern parts harbouring the highest tree diversity. We found evidence of distance decay in compositional similarity among the states in India. Our results reveal that 609 tree species are endemic to the country and 347 species are currently threatened. We also found a linear positive correlation between the endemic and threatened tree species pool of the country. Our data synthesis on the trees of India has huge policy and management implications in guiding biodiversity conservation, ecosystem restoration and climate change mitigation in this most populous country of the world. Looking ahead, our study showcases a model with learnings for other countries/regions/taxa to bridge the existing knowledge gaps in global biodiversity databases. [ABSTRACT FROM AUTHOR]

Developing nations aim to industrialize and grow sustainably often ignoring the environmental consequences. However, few empirical studies have looked at the influence of industrialization-driven economic transition on carbon footprint in developing nations using a non-parametric approach. In this milieu, on the ground of Kaya's identity and the novel multivariate quantile-on-quantile regression (QQR) (extension of Sim and Zhou's (2015) bivariate QQR model), the present research studies the impact of industrial value-added (IGVA), population, energy intensity, and carbon intensity on CO2 emissions in India. This study is one of the first in the literature to evaluate the industrialization-carbonization nexus in the context of Kaya's identity for the Indian economy utilizing an innovative multivariate QQR approach, which makes a methodological and empirical addition to the literature. The outcomes of the multivariate QQR technique demonstrate that economic and environmental development requires continual long-run strategies. The empirical findings revealed that there is no authentication that India's carbon emissions increased due to its industrialization, which exhibited that IGVA has a negative and significant connection with CO2 emissions. In some quantiles, population size positively impacts CO2 emissions. On the other hand, carbonization in the Indian economy is asymmetrically affected by GDP per capita and energy and carbon intensity. The quantile Granger causality study further supported the aforementioned results. The current analysis also offers policy suggestions for environmentally friendly sustainable economic growth and to achieve the sustainable development goals (SDGs) of India. [ABSTRACT FROM AUTHOR]

Cement is a fundamental building and construction material for societies around the world. However, its manufacturing process is exceptionally energy intensive and has a substantial contribution to the man-made global warming potential which calls for immediate reduction. In this context, the implementation of green production practices and technologies in the Indian cement sector is of particular interest and global impact given that the country is the second biggest producer worldwide. Furthermore, the literature reveals that although the implementation of green practices in the cement manufacturing sector faces barriers across a variety of aspects, there is only limited research focussing on developing countries. This research covers this gap by concentrating on the barriers encountered by the cement sector of India and proposes strategies for their alleviation based on input from five experts and the use of the multi-criteria decision making method (MCDM) best–worst method (BWM). The results show that the lack of conducive corporate environment is the most important barrier, inadequate skills and attitudes are the second, while capital-related limitations come third. The experts highlight the need for mechanisms promoting cost effective environmental research and training as well as appropriate funding instruments and procurement rules from the government. Furthermore, a clear vision and plan from the management's part are fundamental for the effective incorporation of green practices in the organisational identity and the required employee engagement. [ABSTRACT FROM AUTHOR]

Background: Quality improvement (QI) methods represent a vehicle for fostering locally initiated innovation cycles. We partnered with palliative care services from seven diverse practice settings in India to foster locally initiated improvement projects. Objective: To evaluate the implementation experiences of locally initiated palliative care improvement projects at seven diverse sites and understand the barriers and facilitators of using QI to improve palliative care in India. Participants: We use a quota sampling approach to capture the perspectives of 44 local stakeholders in each of the following three categories (organizational leaders, clinic leaders, and clinical team members) through a semi-structured interview guide informed by the consolidated framework for implementation research (CFIR). We use standard qualitative methods to identify facilitators and barriers to using QI methods in seven diverse palliative care contexts. Results: Across all sites, respondents emphasized the following factors important in the success of quality improvement initiative: leveraging clinic level data, QI methods training, provider buy-in, engaged mentors, committed leadership, team support, interdepartmental coordination, collaborations with other providers, local champions, and having a structure for accountability. Barriers to using QI methods to improve palliative care services included lack of designated staff, high patient volume, resources, patient population geographic constraints, general awareness and acceptance of palliative care, and culture. Conclusions: Empowering local leaders and medical personnel to champion, design, and iterate using QI methods represents a promising powerful tool to spread palliative care services in developing countries. [ABSTRACT FROM AUTHOR]

Service quality of household toilets is an important determinant of toilet adoption and sustained use in rural India. In many instances, household toilets constructed using subsidies provided under sanitation programs remain unused or used for other purposes because they fail to meet the users' expectations and preferences. The present study aims to analyze the service quality of household toilets based on expectations and preferences of households practicing open defecation in rural settlements of Gaya district of Bihar. This would contribute to improving the existing sanitation programs in India and other developing countries. The service quality of household toilets and preferences of attributes is analyzed using the stated importance, service quality gap analysis and willingness to pay for toilets with expected service quality. The results show that varying proportion of households expects improvement in many of the service quality of household toilet attributes specified under sanitation programs. The improvement in the capacity of disposal systems is considered as the most important attribute by most of the respondents. The households are even willing to pay for expected improvement in attributes of household toilets. [ABSTRACT FROM AUTHOR]

Climate-related uncertainty refers to the inability to predict the scale, intensity, and impact of climate change on human and natural environments. Debates of uncertainty in climate change have emerged as a 'super wicked' problem for scientists and policy makers alike. The article draws on ongoing research in different socio-ecological and cultural settings in India (Kutch, the Sundarbans and Mumbai) and introduces the heuristic of the 'above', 'middle' and 'below' to explore how climate change and uncertainty are understood and experienced by diverse actors. Responses from 'above' (especially by planners and policy makers) tend to be directed towards controlling uncertainty through top-down, techno-managerial solutions whereas scientists tend to rely on quantitative assessments and models based on probabilistic scenarios. These may have little to do with the experiences and lived realities of local people, especially in the global South, who are often at the frontline of climate change. Also at the local level, climate-related uncertainties seldom stand alone, rather they closely interact with other socio-economic drivers of change that create new uncertainties and vulnerabilities, especially for poor and powerless people constraining their adaptation choices. This article demonstrates deep differences in ways different actors understand and experience climate change and uncertainty. It argues that diverse knowledge and approaches need to be deployed to understand and embrace climate related uncertainties in order to facilitate socially just adaptation. [ABSTRACT FROM AUTHOR]

Background: In developing countries such as India, inadequate importance and consideration given to assessment of health care facilities negatively affects progress towards achieving health targets. India has focused on developing Primary Health Centres (PHCs) for rural basic laboratory and curative services. The local decision-makers do not have any national-level framework to evaluate the vulnerability of PHCs which are not meeting national PHC standards, nor do they have resources to meet national PHC standards.Aim: The study proposed a framework to assess the public health care facilities for vulnerability.Methods: A cross-sectional questionnaire survey was performed. The study used PHC laboratory services of 42 PHCs of Osmanabad District, India as a case study for proposed framework. The data assessment was carried out at district level, block level, PHC cluster level, and PHC level to provide flexibility to local decision-makers in taking remedial measures.Results: Staff workload (73.17%), physician’s need (51.22%), and organization structure (36.59%) are the most prevalent challenges across PHCs. Multiple challenges are prevalent in the PHCs across districts. The PHCs with poor medical doctor (MD) capability or many challenges have shown poor laboratory performance.Conclusion: Governance need to be strengthened in PHCs, followed by sustained support in resources and financing. Poor health status in developing nations necessitates a public health response based on health systems. Therefore, an assessment of health facility vulnerability in the form of laboratory services is essential in primary health care facilities. [ABSTRACT FROM AUTHOR]

The damages due to climatic extremes have gone up over the years, particularly in developing nations like India. Disaster-specific risk reduction measures have been adopted at both individual and policy levels to reduce potential impacts. At the same time, a variety of generic adaptation activities have also been undertaken. However, there is inconclusive empirical evidence on the effectiveness of these interventions in reducing damages from climatic extremes, especially for the developing nations. This study, therefore, examines the influence of disaster-specific and generic adaptation measures in reducing the damages resulting from the climate extremes like cyclones and floods in India. A district-level analysis was carried out for the state of Odisha, India from 1999 to 2008 using fixed effects for OLS and negative binomial models. Controlling for the influence of exposure and population, three major findings emerge: (1) households and policy makers have learned from the previous disaster experiences, i.e. there is a 'learning effect', (2) the disaster risk management programme undertaken by the government has reduced the damages from climate extremes, and (3) generic adaptation interventions are helpful. Since the frequency and intensity of these events are likely to increase because of climate change, these results have policy implications in the context of reducing potential impacts now and in the foreseeable future. [ABSTRACT FROM AUTHOR]

Pharmaceuticals and personal care products (PPCPs) are contaminants of emerging concern and have been detected worldwide in water bodies in trace concentrations. Most of these emerging contaminants are not regulated in water quality standards except a few in the developed countries. In the case of developing countries, research in this direction is at a nascent stage. For the effective management of Pharmaceutical contaminants (PC) in developing countries, the relevance of PCs as an emerging contaminant has to be analyzed followed by regular monitoring of the environment. Considering the resource constraints, this could be accomplished by identifying the priority compounds which is again region specific and dependent on consumption behavior and pattern. In this work, relevance of pharmaceutical compound as emerging contaminant in water for a developing country like India is examined by considering the data pertaining to pharmaceutical consumption data. To identify the critical Pharmaceutical Contaminants to be monitored in the Indian environment, priority compounds from selected prioritization methods were screened with the compounds listed in National List of Essential Medicine (NLEM), India. Further, information on the number of publications on the compound as an emerging contaminant, data on monitoring studies in India and the number of brands marketing the compound in India were also analyzed. It is found that out of 195 compounds from different prioritization techniques, only 77 compounds were found relevant to India based on NLEM sorting. [ABSTRACT FROM AUTHOR]