Comparative State Environmental Politics and Policy

Lester, James P.

doi:10.1111/j.1541-0072.1994.tb01500.x

Cited by 30 publications

(52 citation statements)

References 27 publications

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“…He finds evidence that adopting these policies increases the amount of renewable energy generated. Other studies have attempted to disentangle the effects of political, social, and economic factors when explaining state adoption of more stringent environmental policies [8,[29][30][31][32] use a variety of political, social, and economic variables to explain which states adopt green electricity policies. They find that income, education, environmental interest groups, and legislative voting influence the adoption of these regulations.…”

Section: Analysis Of State Green Electricity Policiesmentioning

confidence: 99%

Environmental Constituent Interest, Green Electricity Policies, and Legislative Voting

Chupp¹

2011

Journal of Environmental Economics and Management

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Section: Analysis Of State Green Electricity Policiesmentioning

confidence: 99%

Environmental Constituent Interest, Green Electricity Policies, and Legislative Voting

Chupp¹

2011

Journal of Environmental Economics and Management

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“…However, generalizing to this study from indicator effects (used in the majority of cited studies), to nonfiscal measures such as SWM-VIGOR and SWMNUMBR may be problematic, as evidenced by the GARBVOL beta coefficient's lack of significance. Lester and Lombard (1990) recommend the use of both fiscal and nonfiscal measures.…”

Section: Garbvol: Nonsignificant Beta Coefficientsmentioning

confidence: 98%

“…In proposing multiple indicators of SWM pressure and need, this study was guided by the recommendations of research by Cho and Frederickson (1973), Lester and others (1983), Lester and Lombard (1990), Mazmanian and Sabatier (1980), Munns (1975), and Sabatier and Mazmanian (1980), among others. The link in this study is that a high degree of SWM PRES-SURE urgency logically adds to its issue salience.…”

Section: Theoretical Underpinnings Of Ecological-spatial-policy Relatmentioning

confidence: 99%

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Environmental policy indicators: A systems model

Cummings

Cayer

1993

Environmental Management

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ABSTRACT/This article describes and tests a systems theory-based policy indicators model. The framework is used to examine propositions about linkages between states' ecological-spatial characteristics and subsequent selected solid waste management (SWM) -related environmental policies. It was hypothesized that state characteristics of: (1) population density (used as a garbage-per-land area index), (2) population convergence within urban areas, and (3) percent population change in the interval 1980-1985, could jointly explain state variation in both the number and the vigor of SWM policy outputs.Greater levels of spatial pressure were proposed to be related directly to more numerous, more convincing policies. Proposals are grounded in the literature of organizational search theory, crisis stimulation, and technological pressure.Results revealed that the sociospatial model in fact could explain a reasonable proportion of policy variation across states. However, not all hypotheses are supported. Population change shows an indirect, rather than the anticipated direct, relationship with policy output levels. In addition, when used in the model as a pollution intensity index, population density failed to contribute significantly to an explanation of differences in state SWM policy levels. The analysis raises questions about changes occurring over time in the nature and direction of linkages between sociospatial measures and policy responses. This study suggests that strengthening policy indicator models may require questioning key assumptions and theoretical bases, conducting longitudinal studies, and factoring in political, economic, and other policy environment forces.This study asks whether, to what extent, and how ecological-spatial characteristics of states can explain variations in state govermnent solid waste management (SWM) policy lcvels. A comparative study such as this attempts to add to our understanding of why some states impose and implement rigorous statewide regulations, while others give the subject only lip service.One purpose of this policy indicators study is to assess the value of conventional ecological measures as modern indicators of public policy response in the area of SWM. A second purpose is to draw inferences from the results, which may inform a reformulation of the model for further study. In this evaluation, three related questions are addressed. First, are the selected measures of ecological-spatial dynamics within states significantly related to variation in solid waste policy outputs? Second, do the measures, collectively, provide a significant explanation of SWM policy variation across states? Third, as a check on generalizability of findings to different SWM policy out-

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“…Since most foreign enterprises in China are from developed countries and these firms tend to have superior and cleaner technologies, provinces receiving relatively more FDI are expected to be cleaner. Lester and Lombard (1990) argue that administrative units with greater fiscal resources may be more inclined to regulate pollution. This is because they are less dependent on polluters for tax revenues.…”

Section: Auxiliary Regressionsmentioning

confidence: 99%

9 Pollution across Chinese Provinces

Co¹,

Kong²,

Lin³

2010

Emerging Giants

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We revisit the environmental Kuznets curve (EKC) hypothesis using 1987-1995 data for Chinese provinces. A comparison of off-sample (1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004) predictions to actual emissions indicates that more stringent rules are still needed to fight industrial (waste water and dust) pollution. Auxiliary regressions show that conditional on income, northern provinces have lower industrial waste water pollution; non-coastal and provinces with smaller secondary industry shares have lower industrial (waste water, COD, and dust) pollution; provinces with smaller state-owned enterprises share have lower industrial COD pollution; and, commitment to control industrial dust pollution is correlated with local governments' budget balance.

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Comparative State Environmental Politics and Policy

Cited by 30 publications

References 27 publications

Environmental Constituent Interest, Green Electricity Policies, and Legislative Voting

Environmental Constituent Interest, Green Electricity Policies, and Legislative Voting

Environmental policy indicators: A systems model

9 Pollution across Chinese Provinces

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