{"title":"构建次国家一级的环境政策严格指数:印度各邦研究","authors":"Rajesh Gupta, Atulan Guha","doi":"10.1007/s11205-023-03281-9","DOIUrl":null,"url":null,"abstract":"<p>The abundance of country-level socio-economic development indices is of limited help unless sub-country-level indices on the quality of policies are also available. Tracing the regional indices landscape of India, this study proposes the state-level Environment Policy Stringency Index for Indian states. Capturing Indian states' policies across six areas with weight determination done deploying principal component analysis and Data Envelopment Analysis-Benefit of Doubt approach, the composite index calculated in the study also examines the scores grouping the sub-national units based upon the income levels. Besides ranking for inter-state comparison, the proposed index is significantly associated with particulate matter pollution levels in states. This study has three key contributions: conceptualising the principal-based sub-national index while making a case for developing sub-country level policy indices, identifying state-level environment policy variables and constructing an Environment Policy Stringency Index for Indian states.</p>","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"1 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Construction of Sub-country Level Environment Policy Stringency Index: A Study on Indian States\",\"authors\":\"Rajesh Gupta, Atulan Guha\",\"doi\":\"10.1007/s11205-023-03281-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The abundance of country-level socio-economic development indices is of limited help unless sub-country-level indices on the quality of policies are also available. Tracing the regional indices landscape of India, this study proposes the state-level Environment Policy Stringency Index for Indian states. Capturing Indian states' policies across six areas with weight determination done deploying principal component analysis and Data Envelopment Analysis-Benefit of Doubt approach, the composite index calculated in the study also examines the scores grouping the sub-national units based upon the income levels. Besides ranking for inter-state comparison, the proposed index is significantly associated with particulate matter pollution levels in states. This study has three key contributions: conceptualising the principal-based sub-national index while making a case for developing sub-country level policy indices, identifying state-level environment policy variables and constructing an Environment Policy Stringency Index for Indian states.</p>\",\"PeriodicalId\":21943,\"journal\":{\"name\":\"Social Indicators Research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social Indicators Research\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1007/s11205-023-03281-9\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Indicators Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1007/s11205-023-03281-9","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
Construction of Sub-country Level Environment Policy Stringency Index: A Study on Indian States
The abundance of country-level socio-economic development indices is of limited help unless sub-country-level indices on the quality of policies are also available. Tracing the regional indices landscape of India, this study proposes the state-level Environment Policy Stringency Index for Indian states. Capturing Indian states' policies across six areas with weight determination done deploying principal component analysis and Data Envelopment Analysis-Benefit of Doubt approach, the composite index calculated in the study also examines the scores grouping the sub-national units based upon the income levels. Besides ranking for inter-state comparison, the proposed index is significantly associated with particulate matter pollution levels in states. This study has three key contributions: conceptualising the principal-based sub-national index while making a case for developing sub-country level policy indices, identifying state-level environment policy variables and constructing an Environment Policy Stringency Index for Indian states.
期刊介绍:
Since its foundation in 1974, Social Indicators Research has become the leading journal on problems related to the measurement of all aspects of the quality of life. The journal continues to publish results of research on all aspects of the quality of life and includes studies that reflect developments in the field. It devotes special attention to studies on such topics as sustainability of quality of life, sustainable development, and the relationship between quality of life and sustainability. The topics represented in the journal cover and involve a variety of segmentations, such as social groups, spatial and temporal coordinates, population composition, and life domains. The journal presents empirical, philosophical and methodological studies that cover the entire spectrum of society and are devoted to giving evidences through indicators. It considers indicators in their different typologies, and gives special attention to indicators that are able to meet the need of understanding social realities and phenomena that are increasingly more complex, interrelated, interacted and dynamical. In addition, it presents studies aimed at defining new approaches in constructing indicators.