849 research outputs found

    Impact of large-scale dynamic versus thermodynamic climate conditions on contrasting tropical cyclone genesis frequency

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    Significant advances have been made in understanding the key climate factors responsible for tropical cyclone (TC) activity, yet any theory that estimates likelihood of observed TC formation rates from mean climate states remains elusive. The present study investigates how the extremes of observed TC genesis (TCG) frequency during peak TC seasons are interrelated with distinct changes in the large-scale climate conditions over different ocean basins using the global International Best Track Archive for Climate Stewardship (IBTrACS) dataset and ERA-Interim for the period 1979–2014. Peak TC seasons with significantly high and low TCG frequency are identified for five major ocean basins, and their substantial spatial changes in TCG are noted with regionally distinct differences. To explore the possible climate link behind such changes, a suite of potentially relevant dynamic and thermodynamic climate conditions is analyzed. Results indicate that the observed changes in extreme TCG frequency are closely linked with distinct dominance of specific dynamic and thermodynamic climate conditions over different regions. While the combined influences of dynamic and thermodynamic climate conditions are found to be necessary for modulating TC formation rate over the North Atlantic, eastern Pacific, and southern Indian Oceans, significant changes in large-scale dynamic conditions appear to solely control the TCG frequency over the western Pacific and South Pacific basins. Estimation of the fractional changes in genesis-weighted climate conditions also indicates the coherent but distinct competing effects of different climate conditions on TCG frequency. The present study further points out the need for revising the existing genesis indices for estimating TCG frequency over individual basins

    Constitutional Impediments to Decentralization in the World\u27s Largest Federal Country

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    Decentralization is often advocated as a means of improving local democracy and enhancing what economists call allocative efficiency. In federal countries, where power is already divided between national and state governments, decentralization involves the devolution of power from state to local governments. The world’s largest federal country, India, took an unusual step to advance decentralization: it passed the 74th Constitutional Amendment Act to confer constitutional status on municipalities. However, India’s efforts to promote the devolution of power through a national urban renewal scheme have not succeeded for three reasons. The first is that India’s decentralization process is incomplete. Political decentralization has been stymied by the language of the constitutional amendment itself; administrative decentralization has been hampered by the comparative advantage of entrenched state-level institutions; and fiscal decentralization has not occurred because financial responsibility—but not significant revenue—has been devolved. The second reason is that decentralization has been undertaken in a top-down manner, which has exacerbated Center-state relations and mitigated the goal of allocative efficiency. Third is the relative weakness of local governance structures, which has created a Catch-22 situation: as long as the local governments lack significant capacity, the states are reluctant to devolve power to them. Additional effort needs to be directed towards an effective model of cooperative federalism. With Prime Minister Narendra Modi poised to create “smart cities” and promote urban renewal, it is critical to understand why India’s prior decentralization efforts have largely failed. The lessons learned over the past decade are an important guide to the future of cities in India as well as in other federal countrie

    B2B relationship calculus: quantifying resource effects in service-dominant logic

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    Increasingly, knowledgeable business-to-business (B2B) customers and evolving customer needs are leading to seismic shifts in vendor–client interactions. Across industries, sellers are changing their business models from a simple goods orientation to a hybrid goods–services model, placing greater emphasis on delivering complete customer solutions. In such an environment, companies must find ways to prioritize investments in resource development. The service-dominant (S-D) logic framework offers significant insights into this challenge; however, these effects have not been tested quantitatively. This study addresses that gap, examining the influence of various seller resources on buyer satisfaction. An empirical analysis of buying organizations that purchased and implemented business intelligence systems finds that “augmented” operant resources that the buyers ascribe to the software’s sellers—resources that go above and beyond expectations—are the most significant predictors of both successful technology assimilation and overall customer relationship quality. In particular, an augmented operant resource reflecting a seller’s ability to see value creation opportunities from the buyer’s perspective (value mindset) has up to three times the effect on relationship satisfaction as “core” operant resources such as product-specific expertise or basic interpersonal service skills. These results can help sellers prioritize resource investments
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